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Biblioteca

MARC Lista (tabellare)
Computational Management Science : State of the Art 2014 / / edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada
Computational Management Science : State of the Art 2014 / / edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (249 p.)
Disciplina 658.05416
Collana Lecture Notes in Economics and Mathematical Systems
Soggetto topico Operations research
Management science
Energy policy
Social sciences - Mathematics
Operations Research and Decision Theory
Operations Research, Management Science
Energy Policy, Economics and Management
Mathematics in Business, Economics and Finance
ISBN 3-319-20430-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods.
Record Nr. UNINA-9910254931603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Human-Assisted Intelligent Computing : Modelling, Simulations and Applications
Human-Assisted Intelligent Computing : Modelling, Simulations and Applications
Autore Manshahia Mukhdeep Singh
Edizione [1st ed.]
Pubbl/distr/stampa Bristol : , : Institute of Physics Publishing, , 2023
Descrizione fisica 1 online resource (726 pages)
Altri autori (Persone) LitvinchevIgor S
WeberGerhard-Wilhelm
ThomasJ. Joshua
VasantPandian
KavithaT
Collana IOP Ebooks Series
ISBN 0-7503-4803-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Foreword -- References -- Acknowledgments -- Editor biographies -- Mukhdeep Singh Manshahia -- Igor S Litvinchev -- Gerhard-Wilhelm Weber -- J Joshua Thomas -- Pandian Vasant -- List of contributors -- Chapter 1 Machine learning algorithms to improve crop evapotranspiration prediction covering a broad range of environmental gradients in agriculture 4.0: a review -- 1.1 Introduction -- 1.2 Relevant literature -- 1.3 Some standard methods to calculate evapotranspiration -- 1.4 Results and discussions on major findings -- 1.5 Conclusion and future work -- References -- Chapter 2 Iris-based biometric cryptosystem -- 2.1 Introduction -- 2.2 Eye segmentation framework -- 2.3 Eye segmentation methods -- 2.3.1 Center detection -- 2.3.2 Base radii detection -- 2.3.3 Pupil border refinement -- 2.4 Selecting the cryptokey embedding method -- 2.5 Determining the threshold probability -- 2.6 Description of methods -- 2.6.1 Decorrelation by pseudorandom shuffling -- 2.6.2 Bit-majority coding -- 2.6.3 Hadamard block coding -- 2.6.4 Reed-Solomon message coding -- 2.6.5 Additional error of code recovery -- 2.7 Selection of coding scheme parameters -- 2.8 Conclusion -- References -- Chapter 3 Bio-inspired approaches for a combined economic emission dispatch problem -- 3.1 Introduction -- 3.1.1 Literature review -- 3.1.2 Objective of the study -- 3.2 Problem formulation -- 3.2.1 Combined economic emission dispatch -- 3.2.2 Particle swarm optimization -- 3.2.3 Quantum particle swarm optimization -- 3.2.4 Qunatum inspired Bat algorithm -- 3.3 Results and discussions -- 3.3.1 Single objective emission dispatch problem -- 3.3.2 Quantum inspired Bat algorithm -- 3.3.3 Summary of QBA and PSO -- 3.3.4 Single objective economic load dispatch problem -- 3.3.5 Quantum inspired particle Swarm optimization -- 3.3.6 Summary.
3.3.7 Multi objective CEED problem -- 3.3.8 Quantum inspired particle Swarm optimization -- 3.3.9 Quantum inspired Bat algorithm -- 3.3.10 Summary -- 3.4 Conclusions and future research direction -- Acknowledgement -- Conflicts of interest -- References -- Chapter 4 Eigenvalue clustering for spectrum sensing: throughput and energy evaluation for cognitive radio-Internet of Things network -- Symbols -- 4.1 Introduction -- 4.2 Background and motivation -- 4.3 Adopted CR-IoT scenario -- 4.3.1 System model -- 4.3.2 Conventional CSS techniques -- 4.4 Proposed method for CSS based on eigenvalue clustering -- 4.4.1 Maximum-second maximum-minimum eigenvalue clustering -- 4.5 Energy and throughput analysis -- 4.5.1 Energy analysis -- 4.5.2 Throughput analysis -- 4.5.3 Complexity analysis -- 4.6 Simulation results -- 4.6.1 Comparison of ROC performance -- 4.6.2 Comparison of throughput performance -- 4.6.3 Comparison of energy consumption performance -- 4.6.4 Comparison of expected lifetime performance -- 4.7 Discussion -- 4.7.1 Major findings of research -- 4.7.2 Limitations of research -- 4.8 Conclusion -- References -- Chapter 5 Modeling the evolution of complex networks arising in applications -- 5.1 Introduction -- 5.2 GRN networks -- 5.3 Hierarchy of systems -- 5.3.1 General -- 5.3.2 2D systems -- 5.4 3D systems -- 5.5 High-dimensional systems -- 5.5.1 4D system -- 5.5.2 Examples of 6D systems -- 5.6 Elements of reverse engineering -- 5.6.1 Location of a critical point -- 5.6.2 Creating a critical point of the desired type -- 5.7 Miscellaneous -- 5.8 Conclusions -- References -- Chapter 6 Computing the intelligent privacy-engineered organization: a metamodel of effective information transparency enhancing tools/technologies -- 6.1 Introduction -- 6.2 Transparency enhancing tools/technologies -- 6.2.1 Right to privacy and information transparency.
6.2.2 Data privacy governance frameworks overview -- 6.3 Modelling effective transparency enhancing tools/technologies -- 6.3.1 Aligning privacy frameworks in transparency -- 6.3.2 Transparency requirements mining -- 6.3.3 Transparency requirements metamodel -- 6.3.4 Transparency requirements classification -- 6.4 Leveraging privacy principles -- 6.5 Research findings and limitations within the scope of the goal-based requirements analysis method -- 6.5.1 Major research findings and contributions -- 6.5.2 Limitations of research -- 6.6 Conclusion -- References -- Chapter 7 A model of cells' regeneration towards smart healthcare -- 7.1 Introduction -- 7.2 Model -- 7.3 Result and discussion -- 7.4 Conclusion and highlight -- 7.5 Future scope and literature review -- Acknowledgements -- References -- Chapter 8 Anomaly detection in location-based services -- 8.1 Introduction -- 8.2 Maps and navigation services -- 8.2.1 Navigation system -- 8.2.2 Mapping services -- 8.3 Location-based tracking services -- 8.3.1 Vehicle tracking services -- 8.3.2 Traffic tracking services -- 8.4 Anomaly detection in LBS -- 8.4.1 Route anomaly detection -- 8.4.2 User behavior anomaly detection -- 8.4.3 Fake check-in anomaly detection -- 8.5 Limitations -- 8.6 Conclusion and future enhancement -- References -- Chapter 9 Optimized packing soft ellipses -- 9.1 Introduction -- 9.2 The main problem -- 9.3 Geometric tools -- 9.3.1 Formulation of containment conditions -- 9.3.2 Formulation of non-overlapping constraints -- 9.4 Mathematical model -- 9.5 Solution strategy -- 9.5.1 Finding a feasible starting point -- 9.5.2 Compression algorithm -- 9.6 Computational results -- 9.7 Conclusions -- Acknowledgements -- Appendix A -- References -- Chapter 10 Analysis of phishing attacks -- 10.1 Introduction -- 10.2 Literature review -- 10.3 Methodology and used tools.
10.3.1 The text analytical SW Tovek -- 10.4 Statistical analysis of phishing emails -- 10.5 Classification of phishing emails -- 10.5.1 Segment business -- 10.5.2 Segment fund -- 10.5.3 Segment charity -- 10.5.4 Segment transfer -- 10.5.5 Segment other -- 10.6 Content analysis of phishing emails -- 10.6.1 Person entity -- 10.6.2 Phone number entity -- 10.6.3 City and country entity -- 10.6.4 Email and website entity -- 10.7 Research results, their limits, and further research orientation -- 10.8 Discussion and conclusion -- References -- Chapter 11 Human-assisted intelligent computing and ecological modeling (drought early warning system) -- Abbreviaitons -- 11.l Introduction -- 11.1.1 Rangelands -- 11.1.2 Ecological modeling and early warning (theory) -- 11.1.3 Ecological modeling and early warning (applications) -- 11.2 Contribution of ecological modeling -- 11.2.1 Efficiency and algorithm theoretical to calibration of remote sensing data -- 11.2.2 Spatial and temporal analysis and polynomial regression -- 11.2.3 Spatial disaggregation and anomalies -- 11.3 Conclusion -- Appendix A: Prospects -- Appendix B: Ecological modeling -- Appendix C: Questions for the governing bodies -- Funding -- Acknowledgments -- References -- Chapter 12 Attention mechanisms in machine vision: a survey of the state of the art -- 12.1 Introduction -- 12.1.1 Self-attention -- 12.1.2 Masked self-attention -- 12.1.3 Multi-head attention -- 12.2 Attention-based deep learning architectures -- 12.2.1 Single-channel model -- 12.2.2 Multi-channel model -- 12.2.3 Skip-layer model -- 12.2.4 Bottom-up or top-down model -- 12.2.5 Skip-layer model with multi-scale saliency network -- 12.3 Attention and deep learning in machine vision: broad categories -- 12.3.1 Attention-based CNNs -- 12.3.2 CNN transformer pipelines -- 12.3.3 Hybrid transformers.
12.4 Major research algorithms, trends, and limitations -- 12.5 Conclusion -- Conflict of interest -- Funding acknowledgement -- References -- Chapter 13 Sparse 2D packing in thermal deburring with shock waves acting effects -- 13.1 Introduction -- 13.2 Sparse packing -- 13.2.1 The main problem and mathematical model -- 13.2.2 Solution approach and computational results -- 13.3 Thermal problem formulation -- 13.4 The balanced layout of 2D objects with shock waves action -- 13.5 Conclusions and future research -- Acknowledgments -- References -- Chapter 14 Implementation of smart manufacturing in small and medium-sized enterprises -- 14.1 Introduction -- 14.1.1 Need for smart manufacturing -- 14.1.2 Electronic hardware with machine and software interface -- 14.1.3 Management information system -- 14.2 Literature review -- 14.3 Levels of data for intelligent SME -- 14.3.1 Resources for SME -- 14.3.2 Inputs for SMEs -- 14.3.3 Outputs for SMEs -- 14.3.4 Flow diagram -- 14.3.5 Data collection -- 14.3.6 Applications for analysis and decision making -- 14.4 Proposed architectural framework for intelligent SMEs -- 14.5 Case study -- 14.6 Conclusions and future scope -- References -- Chapter 15 Performance analysis of fractal image compression methods for medical images: a review -- 15.1 Introduction -- 15.1.1 Self-similarity in fractals -- 15.2 Motivation of the survey -- 15.3 Relevant literature -- 15.4 Comparative survey results and discussion -- 15.5 Improvements on existing algorithms -- 15.6 Conclusion and future work -- References -- Chapter 16 Mobile edge computing for efficient energy management systems -- 16.1 Introduction -- 16.2 Paradigm of edge computing -- 16.3 Role of factors in energy consumption -- 16.4 Energy efficient systems -- 16.5 Research findings and limitations -- 16.6 Future research challenges -- 16.6.1 The healthcare domain.
16.6.2 Big data management.
Record Nr. UNINA-9910861041403321
Manshahia Mukhdeep Singh  
Bristol : , : Institute of Physics Publishing, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Computing & Optimization / / edited by Pandian Vasant, Ivan Zelinka, Gerhard-Wilhelm Weber
Intelligent Computing & Optimization / / edited by Pandian Vasant, Ivan Zelinka, Gerhard-Wilhelm Weber
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (588 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-030-00979-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910337607203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Computing and Optimization : Proceedings of the 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 4
Intelligent Computing and Optimization : Proceedings of the 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 4
Autore Vasant Pandian
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2025
Descrizione fisica 1 online resource (997 pages)
Disciplina 006.3
Altri autori (Persone) PanchenkoVladimir
MunapoElias
WeberGerhard-Wilhelm
ThomasJ. Joshua
IntanRolly
Shamsul ArefinMohammad
Collana Lecture Notes in Networks and Systems Series
ISBN 9783031733246
303173324X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910947535003321
Vasant Pandian  
Cham : , : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 3
Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 3
Autore Vasant Pandian
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (376 pages)
Altri autori (Persone) Shamsul ArefinMohammad
PanchenkoVladimir
ThomasJ. Joshua
MunapoElias
WeberGerhard-Wilhelm
Rodriguez-AguilarRoman
Collana Lecture Notes in Networks and Systems Series
ISBN 3-031-50327-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- About the Editors -- I Clean Energy, Agro-Farming, and Smart Transportation -- UV-A, UV-B, and UV-C Irradiation Influence on Productivity and Anthocyanin Accumulation in Lettuce, Mustard and Basil Plants in Reduced Light Conditions -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Optimization of Electrocontact Welding Wear-Resistant Functional Coatings Regime in the Use of Engineering Industrial Wastes -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Accelerated Growth and Development of Plants as a Result of Their Stimulation in the Impulsed Electric Field -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Dıscussıon -- 4 Conclusion -- References -- A Deep Reinforcement Learning Framework for Reducing Energy Consumption of Server Cooling System -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Environment Creation -- 3.2 Deep Q-Network (DQN) -- 3.3 Research Ethics -- 4 Experimental Result and Discussion -- 5 Conclusion and Future Work -- References -- Far North: Optimizing Heating Costs -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusion -- References -- Justification for the Need to Develop and Implement Remote Monitoring Systems of the Grain Embankment Condition Which Operate by Using Renewable Energy Sources -- 1 Introduction -- 1.1 Main Part -- 1.2 Physical Factors -- 1.3 Grain Store Monitoring -- 1.4 Results and Discussion -- 2 Conclusions -- References -- Justification of the Technology of Keeping Animals to Maintain the Microclimate -- 1 Introduction -- 1.1 Materials and Methods -- 1.2 Results and Discussion -- 2 Conclusions -- References.
Cattle Icare Monitoring System (CIMS): Remote Monitoring of CATtle's Heart Rate, Temperature, and Daily Steps with Smart Sprinkler System -- 1 Introduction -- 2 Materials and Methods -- 3 Project Design and Development -- 4 Data Analysis and Interpretation of Results -- 5 Conclusions -- References -- Identification of the Distribution of the Viral Potato Infections -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Smart Irrigation System for Farm Application Using LoRa Technology -- 1 Introduction -- 2 Literature Survey -- 3 System Design -- 3.1 LoRa Sensor Node -- 3.2 LoRaWAN Gateway -- 4 Results and Discussion -- 4.1 Communication Range Test -- 4.2 RSSI Measurement -- 4.3 Environmental Monitoring Test -- 4.4 Web Interface -- 5 Conclusion -- References -- The Effect of Illumination on the Productivity of Dairy Cattle -- 1 Introduction -- 1.1 Materials and Methods -- 1.2 Results and Discussion -- 2 Conclusions -- References -- Improvement of Technological Process of Growing Hydroponic Green Fodder Triticale (Triticosecale Wittm.) in Indoor Farming Using Light Emitting Diodes -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Design of a Device with a Thermoelectric Module for Transporting Milk -- 1 Materials and Method -- 2 Results and Discussion -- 3 Conclusion -- References -- Energy-Efficient AI Models for 6G Base Station -- 1 Introduction -- 2 Related Work -- 3 Some A.I. Models for Communication -- 3.1 Traditional A.I. Methods -- 3.2 Development of Deep Learning Models -- 3.3 Future Perspective Learning Methods -- 4 Some Proposed A.I. Models for Intelligent Base Stations -- 4.1 Energy-Efficient Base Station -- 4.2 Research Works for 6G Communication -- 4.3 Base Station Deployment -- 4.4 Work State Scheduling.
4.5 General Power Control of Base Station -- 4.6 Green Energy Base Station -- 5 Conclusion -- References -- II Green IT, IoTs and Data Analytics -- Model-Based Design of User Story Using Named Entity Recognition (NER) -- 1 Introduction -- 2 Related Work -- 2.1 Natural Language Processing for User Story -- 2.2 Named Entity Recognition -- 2.3 SpaCy -- 3 Methodology -- 3.1 Proposed Model-Based -- 3.2 Model-Based NER with Spacy -- 3.3 Main Results -- 4 Conclusion and Outlook -- References -- Intrinsic and Extrinsic Evaluation of Sentiment-Specific Word Embeddings -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Development -- 3.2 Sentiment-Specific Word Embedding Model Training -- 3.3 Intrinsic Evaluation & -- Best Embedding Model Selection -- 3.4 Feature Extraction -- 3.5 Extrinsic Evaluation -- 4 Experiments -- 5 Results -- 6 Conclusion -- References -- Movie Recommender System: Addressing Scalability and Cold Start Problems -- 1 Introduction -- 2 Literature Review -- 3 Working Principle -- 3.1 Matrix Factorization -- 3.2 Content-Based Filtering -- 4 Dataset -- 5 Methodology -- 5.1 Approach 1 (Considering Linear Dependency) -- 5.2 Approach 2 (Considering Non Linear Dependency) -- 5.3 Cosine Similarity -- 6 Results and Discussion -- 7 Conclusion and Future Works -- References -- E-waste Management and Recycling Model for Dhaka with Collection Strategy Application: A More Effective and Sustainable Approach -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Data Collection Plan -- 3.2 Research Process -- 3.3 Data Analysis -- 4 Results and Discussion -- 4.1 Recycling Procedure -- 4.2 E-Waste Management -- 4.3 Analysis and Comparison Current and Proposed Model -- 4.4 Waste Collection -- 4.5 Interface of Application -- 5 Conclusion -- References.
CoBertTC: Covid-19 Text Classification Using Transformer-Based Language Models -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Transformer-Based Language Model Fine-Tuning -- 3.2 Transformer-Based Language Model Inference -- 3.3 Best-Performed Model Selection -- 4 Experiments and Results -- 4.1 Results -- 5 Conclusion -- References -- Glaucoma Detection Using CNN and Study on Class Imbalance Problem -- 1 Introduction -- 2 Literature Review -- 3 Dataset Description -- 4 Methodology Description -- 4.1 Data Augmentation -- 4.2 Generative Adversarial Network (GAN) -- 5 Proposed Workflow -- 6 Results and Discussion -- 6.1 ACRIMA -- 6.2 Imbalanced Dataset -- 6.3 Balanced Dataset After Using Augmentation 1 -- 6.4 Balanced Dataset After Using GAN -- 7 Conclusion -- References -- Identification of Deceptive Clickbait Youtube Videos Using Multimodal Features -- 1 Introduction -- 2 Related Work -- 3 Dataset Development Processes -- 4 Clickbait Identification Techniques -- 5 Results -- 5.1 Comparisons with Baselines -- 6 Conclusion -- References -- Perception and Knowledge of South African Creatives with Regards to Crypto Art, NFTs, and Crypto Art Platforms -- 1 Introduction -- 2 Methodology -- 3 Findings -- 3.1 Knowledge About Crypto Art, NFTs, and Crypto Art Platforms -- 3.2 Use of Crypto Art Platforms -- 3.3 Crypto Art Comprehension and Perception -- 3.4 NFT Comprehension and Perception -- 3.5 Crypto Art Platform Comprehension and Perception -- 4 Conclusion -- References -- Automated Bone Age Assessment Using Deep Learning with Attention Module -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 InceptionV3 -- 3.2 Attention Module -- 3.3 Regression Module -- 4 Result and Observation -- 4.1 Dataset -- 4.2 Experiment Setting -- 4.3 Result -- 5 Conclusion -- References.
Green Banking Through Blockchain-Based Application for Secure Transactions -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Implementation Details -- 4 Software Architecture and Design -- 4.1 Data Flow Diagram (DFD) -- 4.2 Algorithm -- 5 Results and Analysis -- 5.1 Energy Consumption Analysis Proof-of-Stake Ethereum -- 5.2 Proof-of-Stake Energy -- 5.3 A Greener Ethereum -- 5.4 Evidence of Stake Secured -- 6 Discussion -- 7 Conclusion -- References -- Application of Decision Tree Algorithm for the Classification Problem in Bank Telemarketing -- 1 Introduction -- 2 Literature Review -- 3 The Decision Tree with Gini Index -- 4 Dataset and Methodology -- 4.1 Dataset -- 4.2 Methodology -- 5 Results and Discussion -- 6 Conclusion -- References -- Robust Feature Extraction Technique for Hand Gesture Recognition System -- 1 Introduction -- 2 Literature Survey -- 3 Dataset -- 4 Methodology -- 4.1 Singular Value Decomposition (SVD) -- 4.2 Canny Edge Detection -- 4.3 Autoencoder -- 5 Machine Learning Algorithm -- 5.1 K-Nearest Neighbor -- 5.2 Naive Bayes Classifier -- 5.3 Support Vector Machine -- 6 Results and Discussion -- 7 Conclusion -- References -- Adaptive Instance Object Style Transfer -- 1 Introduction -- 2 Proposed Scheme -- 3 Experimental Results -- 4 Conclusion -- References -- Case Study: A Review of Cybersecurity Policies and Challenges in Indonesia -- 1 Introduction -- 2 Condition of Cybersecurity in Indonesia -- 3 Challenges and Opportunities -- 4 Conclusion -- References -- Lowering and Analyzing the Power Consumption of Smartphones -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Sampling -- 3.2 Experimental Setup -- 4 Implementation and Experimental Result Analysis -- 4.1 Delay Tolerant -- 4.2 Transmission for Minimize Power -- 4.3 Result Analysis -- 4.4 Result Evaluatıon -- 5 Conclusion -- References.
Comparison for Handwritten Character Recognition and Handwritten Text Recognition and Tesseract Tool on IJAZAh's Handwriting.
Record Nr. UNINA-9910770278603321
Vasant Pandian  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 4
Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 4
Autore Vasant Pandian
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (456 pages)
Altri autori (Persone) Shamsul ArefinMohammad
PanchenkoVladimir
ThomasJ. Joshua
MunapoElias
WeberGerhard-Wilhelm
Rodriguez-AguilarRoman
Collana Lecture Notes in Networks and Systems Series
ISBN 3-031-50151-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- About the Editors -- I Fuzzy Logic, ANN, Green Cloud Computing, and Smart Algorithms -- Time Series Analysis in COVID-19 Daily Reported Cases in South Africa: A Box-Jenkins Methodology -- 1 Introduction -- 1.1 Background to Study -- 1.2 Literature Review -- 2 Research Methodology -- 3 Data Analysis -- 3.1 Initial Stages of the Analysis -- 3.2 Diagnostic Checking -- 3.3 Forecasting with ARIMA Model -- 3.4 Hypothesis Testing Results -- 4 Conclusions, Recommendations & -- Limitations -- 4.1 Conclusion -- 4.2 Recommendations -- 4.3 Limitation -- References -- A Model of Continuous Investing in Information Security with Multifactory Accounting in a Fuzzy Statement -- 1 Introduction -- 2 Literature Review and Problem Formulation -- 3 Goal -- 4 A Model for Choosing a Strategy for Mutual Continuous Investment in the Field of Information Security, Taking Into Account the Multifactorial Nature of the Problem in a Fuzzy Formulation -- 5 Computational Experiment to Find Rational Investor Strategies -- 6 Discussion of the Results of a Computational Experiment -- 7 Conclusion -- References -- Modelling and Forecasting Foreign Direct Investment: A Comparative Application of Machine Learning Based Evolutionary Algorithms Hybrid Models -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Empirical Results -- 4.1 Preliminary Data Analysis Results -- 5 Conclusion and Recommendations -- References -- Simulation for Analyzing Effect of Silver Meal Lot Sizing Rules in Bullwhip Effect -- 1 Introduction -- 2 Problem Description -- 3 Model Dan Result -- 3.1 Model Solution -- 4 Conclusion -- References -- On Discontinuous Systems with Sliding Modes -- 1 Introduction -- 2 Basic Definitions and Notations -- 3 Statement of the Problem -- 4 Reduction to a Variational Problem.
5 Necessary Minimum Conditions of the Functional I(z, c) in a Particular Case -- 6 Differential Properties of the Functional I(x, z, c) in a More General Case -- 7 Conclusion and Acknowledgments -- References -- Carbon Footprint Optimization for Efficient Effluent Treatment Selection by Using Fuzzy Optimization Modelling -- 1 Introduction -- 2 Methodology -- 2.1 Framework -- 2.2 Multi-objective Mathematical Model -- 3 Results and Discussion -- 4 Conclusion -- References -- Application of Analytical Hierarchy Process (AHP) in Assessing the Risk of COVID-19 Contraction by the Urban Public Through Transport Services -- 1 Introduction and Background -- 2 Related Literature -- 3 Analytical Hierarch Process Methodology -- 3.1 Consistency Index and Consistency Ratio -- 3.2 Data Collection Procedure -- 3.3 Description of Criteria and Data Capturing Procedure -- 4 Analysis -- 4.1 Pairwise Comparisons -- 5 Results and Discussions -- 6 Conclusions -- References -- Green Task Scheduling Algorithm in Green-Cloud -- 1 Introduction -- 2 Related Work -- 3 Research Methodology -- 3.1 Description of the Algorithms -- 3.2 Simulation Environment Setup -- 4 Results and Discussion -- 5 Conclusion -- References -- Estimation of Optimum Design of a 3-Bar Truss System with Decision Tree Algorithm -- 1 Introduction -- 2 Methodology -- 2.1 Optimal Design of Truss Systems and Prediction with Artificial Intelligence -- 3 The Numerical Example -- 4 Discussion and Conclusions -- References -- A Soft Computational Technique to Construct a Study Program Recommendation System Based on SDS RIASEC Test -- 1 Introduction -- 2 RIASEC -- 2.1 RIASEC and Program of Study -- 3 Proposed Method of Soft Computational Technique -- 4 Illustrative Example -- 5 Flowchart of System Recommendation -- 6 Conclusion -- References.
Semiconductor Manufacturing Final Test Yield Prediction Using Regression with Genetic Algorithm-Based Feature Selection -- 1 Introduction -- 2 Review of Related Literature -- 3 Methodology -- 3.1 Data Wrangling and Exploratory Data Analysis -- 3.2 Feature Selection -- 3.3 Model Optimization and Evaluation -- 4 Results -- 4.1 Data Wrangling and Exploratory Data Analysis -- 4.2 Feature Selection -- 4.3 Model Optimization and Evaluation -- 5 Conclusions -- References -- Modeling and Forecasting Bank Stock Prices: GARCH and ARIMA Approaches -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 Research Methodology as a Flow Chart -- 3.2 Data Source -- 3.3 ARCH (q) Model -- 3.4 GARCH (p, q) Model -- 3.5 ARIMA Process -- 3.6 Forecasting Using the GARCH (p,q) Process -- 3.7 Model Selection -- 4 Data Analysis -- 4.1 Time Series Plot -- 4.2 Model Selection -- 4.3 Best Model GARCH(1,1)-ARMA(2,2) -- 4.4 Model Diagnostics -- 4.5 Forecast GARCH (1,1)-ARMA(2,2) -- 5 Conclusions -- References -- Cebuano-English Code-Switching Speech Detection Using Support Vector Machine -- 1 Introduction -- 2 Related Work -- 2.1 Cebuano-English Code-Switching -- 2.2 Automatic Speech Recognition (ASR) -- 2.3 Problems and Approaches of Code-Switching Detection -- 3 Experimental Setup -- 3.1 Corpus -- 3.2 Feature Extraction -- 3.3 Acoustic Model -- 3.4 Language Model -- 3.5 Gaussian Mixture Model -- 3.6 Support Vector Machine -- 3.7 Language Classification -- 3.8 Model Setup -- 4 Results -- 4.1 Corpus Information -- 4.2 Validation Method -- 4.3 Results -- 5 Conclusion and Future Works -- 5.1 Conclusion -- 5.2 Future Works -- References -- Impact of Employability Skills on Employee Performance of Business Graduates in Nepal: Structural Equation Modeling Approach -- 1 Introduction -- 2 Literature Review -- 3 Instruments and Methods.
4 Analysis of Results and Discussion -- 4.1 Demographic Analysis -- 4.2 Reliability and Validity -- 4.3 Confirmatory Factor Analysis (CFA) -- 4.4 Structural Model or Path Analysis -- 4.5 Discussion -- 5 Conclusion -- Appendix -- References -- Modelling and Forecasting South African Airline Passengers Using ARIMA -- 1 Some Similar Studies Done -- 2 Research Methodology -- 2.1 Data -- 2.2 ARIMA Model -- 3 Data Analysis -- 3.1 Stationarity -- 3.2 Model Estimation -- 3.3 Diagnostic Checking -- 3.4 Forecasting -- 4 Conclusion and Recommendations -- 4.1 Conclusions -- 4.2 Recommendations -- References -- The Sensibility of Jaya Algorithm on Tuned Mass Damper Optimization -- 1 Introduction -- 2 Structure Control Systems -- 3 Metaheuristic Algorithm -- 3.1 Jaya Algorithm -- 4 Numerical Example -- 5 Conclusion -- References -- Archimedes Optimization Algorithm on a Structural Optimization Problem -- 1 Introduction -- 2 Methodology -- 2.1 Optimum Design of Cantilever Beam via Teaching-Learning-Based Optimization Algorithm -- 2.2 Optimum Design of Cantilever Beam via Flower Pollination Algorithm -- 2.3 Optimum Design of Cantilever Beam via Archimedes Optimization Algorithm -- 3 The Numerical Example -- 4 Results -- 5 Conclusions -- References -- A Hybrid Approach for Improving Task Scheduling Algorithm in the Cloud -- 1 Introduction -- 2 Literature Review -- 3 Scheduling Algorithms -- 3.1 Particle Swarm Optimization (PSO) -- 3.2 Ant Colony Optimization -- 4 Proposed PSAC Algorithm -- 5 Experimental Setup -- 6 Result Analysis -- 7 Conclusion -- References -- Design Optimization of Tuned Liquid Dampers with Hybrid Algorithms -- 1 Introduction -- 2 Methodology -- 2.1 TLD Parameters and Equations of Motion -- 2.2 Optimization with Hybrid Metaheuristics Algorithms -- 3 The Numerical Example -- 4 Discussion and Conclusions -- References.
A Survey on Optimization of Multi-criteria RBFN -- 1 Introduction -- 1.1 Sources of Literature Review -- 2 Radial Basis Function Neural Networks (RBFNNs) -- 2.1 Structure of RBFNs -- 3 Optimization of Multi-Criterions RBF Networks -- 4 Applications of RBF Neural Networks -- 5 Conclusion -- References -- Load Balancing in Cloud Environment Using Different Optimization Algorithms and Open-Source Platforms: A Deep Picture -- 1 Introduction -- 2 Cloud Computing -- 3 Virtualization -- 4 Load Balancing -- 5 Optimization -- 5.1 Honeybee Optimization [14] -- 5.2 Particle Swarm Optimization [3, 4, 7, 9, 11, 12, 15-17] -- 5.3 Ant Colony Optimization [6, 8, 14, 15, 17, 18] -- 5.4 Genetic Algorithm [10, 15, 17, 19] -- 5.5 Osmos Optimization [3, 14] -- 5.6 Bee Colony Optimization [3] -- 6 Literature Survey -- 7 Conclusion -- References -- In-Depth Analysis on the Realm of Cloud Computing -- 1 Introduction -- 2 Trends -- 2.1 Global Domain -- 2.2 Local Domain -- 3 Applications -- 3.1 Online Data Storage -- 3.2 Backup and Recovery -- 3.3 Big Data Analysis -- 3.4 Testing and Development -- 3.5 Application in Antivirus -- 3.6 Application in E-commerce -- 3.7 Education on Cloud -- 4 Cloud Computing Adoption Factors -- 4.1 Technological Factors -- 4.2 Organizational Factors -- 4.3 Environmental Factors -- 5 Cloud Computing Impacts -- 5.1 Agriculture -- 5.2 Economy -- 5.3 Industry -- 5.4 Labor -- 5.5 Society -- 6 Policy Recommendations -- 7 Conclusion -- References -- Revolutionizing the Creative Process: Exploring the Benefits and Challenges of AI-Driven Art -- 1 Introduction -- 2 Research Methodology -- 2.1 Literature Review -- 2.2 Interviews with Professionals -- 2.3 Case Study -- 3 Results and Discussion -- 3.1 Expansion of Human Creativity -- 3.2 Ethical and Practical Considerations -- 3.3 Professional Presentation -- 4 Conclusion -- References.
Vehicle License Plates Recognition Using Object Detection and Classification Algorithms.
Record Nr. UNINA-9910770275103321
Vasant Pandian  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 2
Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 2
Autore Vasant Pandian
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (378 pages)
Disciplina 006.3
Altri autori (Persone) Shamsul ArefinMohammad
PanchenkoVladimir
ThomasJ. Joshua
MunapoElias
WeberGerhard-Wilhelm
Rodriguez-AguilarRoman
Collana Lecture Notes in Networks and Systems Series
Soggetto topico Artificial intelligence
Optimisation . .
ISBN 9783031503306
9783031503290
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Contents -- About the Editors -- I Artificial Intelligence, Metaheuristics, and Optimization -- Application of Metaheuristic Algorithms and Their Combinations to Travelling Salesman Problem -- 1 Introduction -- 2 Related Work -- 3 Hybrid Metaheuristics -- 3.1 ACO + TS -- 3.2 ACO + SA -- 4 Experiments and Results -- 4.1 Benchmark Instances -- 4.2 Local Optimal Solution Criterion -- 4.3 Result of Small and Medium Instances -- 4.4 Result of Large Instances -- 4.5 Time Comparison -- 4.6 Fitness Comparison -- 4.7 Robustness -- 5 Conclusions -- References -- Evolutionary Optimization of Entanglement Distillation Using Chialvo Maps -- 1 Introduction -- 2 Methods -- 2.1 Model Formulation: Entanglement Distillation -- 2.2 Combined Approach: Chialvo Map & Evolutionary Optimization -- 3 Results -- 4 Conclusions and Recommendations -- References -- Optimization of Seismic Isolator Systems via Teaching-Learning Based Optimization -- 1 Introduction
Record Nr. UNINA-9910770275803321
Vasant Pandian  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 1
Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 1
Autore Vasant Pandian
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2023
Descrizione fisica 1 online resource (364 pages)
Altri autori (Persone) Shamsul ArefinMohammad
PanchenkoVladimir
ThomasJ. Joshua
MunapoElias
WeberGerhard-Wilhelm
Rodriguez-AguilarRoman
Collana Lecture Notes in Networks and Systems Series
Soggetto topico Computational intelligence
Wireless sensor networks
ISBN 9783031362460
3031362462
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- About the Editors -- Digital Transformation, Image Analysis and Sensor Technology -- Digitally-Enabled Dynamic Capabilities for Digital Transformation -- 1 Introduction -- 2 Dynamic Capabilities for Digital Transformation -- 3 Methodology -- 4 Results and Analysis -- 5 Discussion and Conclusion -- 5.1 Implications for Theory -- 5.2 Implications for Practice -- 5.3 Limitations and Suggestions for Future Research -- Appendix A: Robustness Test -- Appendix B -- References -- Digitization of Feeding Processes in Pond Aquaculture Using a Cyber-Physical System for Analyzing Monitoring Data and Transmitting Information Using LoRaWAN Technology -- 1 Introduction -- 2 Data and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Energy Efficient Routing Approaches in Wireless Sensor Networks: A Review -- 1 Introduction -- 2 Energy Consumption and Protocol Stacks -- 3 Related Work -- 3.1 Leach [5] -- 3.2 Leach-C [6] -- 3.3 Cluster Fuzzy-Based Algorithm [7] -- 3.4 Leach-Mac [8] -- 3.5 Energy-Aware Distributed Unequal Clustering [9] -- 3.6 Unequal Clustering Size Model [10] -- 3.7 Energy-Aware Distributed Clustering [11] -- 3.8 Fuzzy Based Balanced Cost CH Selection [12] -- 3.9 Distributed CH Scheduling [13] -- 3.10 K-means Based Clustering Algorithm [14] -- 3.11 Pareto Optimization Based Approach [15] -- 3.12 Energy Efficiency Semi Static Routing Algorithm [16] -- 3.13 Hybrid Energy Efficient Routing [17] -- 3.14 Improved ABC Algorithm [18] -- 3.15 Hierarchical Energy Balancing Multipath [19] -- 3.16 Novel Energy Aware Hierarchical Cluster Based Protocol [20] -- 3.17 Heuristic Algorithm for Clustering Hierarchy [21] -- 3.18 Multi-level Route Aware Clustering [22] -- 3.19 Double Phase Cluster Head Election Scheme [23] -- 4 Open Research Issues -- 5 Conclusion -- References.
Robust Vehicle Speed Estimation Based on Vision Sensor Using YOLOv5 and DeepSORT -- 1 Introduction -- 2 Related Works -- 2.1 Learning-Based -- 2.2 Three-Based Process -- 2.3 Speed Estimation -- 3 Proposed Method -- 3.1 Data Acquisition -- 3.2 Detection: YOLOv5 -- 3.3 Tracking: DeepSORT -- 3.4 Speed Estimation -- 4 Conclusion -- References -- Automatic Alignment of Aerospace Images Based on the Search for Characteristic Points -- 1 Introduction -- 2 Materials and Methods -- 3 Conclusion -- References -- Method for Plant Leaves Square Area Estimation Based on Digital Image Analysis -- 1 Instruction -- 2 Methods and Materials -- 3 Results and Discussion -- 4 Conclusions -- References -- Digital Revolution Through Computational Intelligence: Innovative Applications and Trends -- 1 Introduction -- 2 The Five Main Principles of CI and Its Applications -- 2.1 Fuzzy Logic -- 2.2 Neural Networks -- 2.3 Evolutionary Computation -- 2.4 Learning Theory -- 2.5 Probabilistic Methods -- 2.6 Issues of Traditional Computing -- 3 Digital Revolution and Artificial Intelligence -- 4 Big Data -- 5 Artificial Intelligence (AI) and Computational Intelligence (CI) -- 6 Internet of Things (IoT) and Computational Intelligence (CI) -- 7 Computational Intelligence as a New Paradigm -- 8 Innovative Applications -- 9 Conclusion -- References -- Compressive Sensing and Orthogonal Matching Pursuit-Based Approach for Image Compression and Reconstruction -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 4 Results -- 5 Conclusion -- References -- Capabilities for Digital Transformation and Sustainability in an Emerging Economy -- 1 Introduction -- 2 Capabilities for Digital Transformation and Sustainability -- 3 Research Methodology -- 4 Results and Analysis -- 5 Discussion and Conclusion -- 5.1 Implications for Theory and Practice.
5.2 Limitations and Directions for Future Research -- Appendix -- References -- Non-invasive Glucose Measurement with 940 nm Sensor Using Short Wave NIR Technique -- 1 Introduction -- 2 Proposed Methodology and Implementation -- 3 Mathematical Modelling for Prediction of Blood Glucose Concentration -- 4 Conclusion -- References -- Managing the Purchase-Sale Process of Digital Currencies Under Fuzzy Conditions -- 1 Introduction -- 2 Literature Review -- 3 The Purpose of the Study -- 4 Methods and Models -- 4.1 Model of Trading Operations with Cryptocurrencies in a Fuzzy Setting -- 4.2 The Solution of the Problem -- 5 Computational Experiment -- 6 Discussion of the Results of a Computational Experiment -- 7 Conclusions -- References -- A Comparative Analysis of the Impacts of Traditional and Digital Billing Methods -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Data Collection Methods -- 3.2 Participants -- 3.3 Data Analysis -- 3.4 Research Ethics -- 4 Results and Discussion -- 4.1 Experimental Result and Analysis -- 4.2 Discussion -- 4.3 Limitations and Future Works -- 5 Conclusion -- References -- Chest X-ray Image Classification Using Convolutional Neural Network to Identify Tuberculosis -- 1 Introduction -- 2 Related Work -- 3 System Architecture and Design -- 3.1 Dataset Description -- 3.2 Data Pre-processing -- 3.3 Model Architecture and Algorithms -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Experimental Result -- 4.3 Performance Evaluation -- 5 Conclusion -- References -- Digital Wireless Mini-transduce of Plant Thermoregulation -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Convolution Neural Network, Deep Learning, and Machine Learning.
Effective Fault Prediction Techniques for the Green Cloud Computing Environment Applying Machine Learning to Enhance Network Management -- 1 Introduction -- 2 Literature Review -- 3 System Architecture and Design -- 3.1 Dataset Description -- 3.2 Pre-processing of Data Sources -- 4 Implementation and Experimental Result -- 4.1 Experimental Set-Up -- 4.2 Model Assessment -- 4.3 Performance Analysis -- 4.4 Result Analysis -- 5 Conclusion -- References -- Transforming the Financial Industry Through Machine and Deep Learning Innovations -- 1 Introduction -- 2 ML and DL Models -- 3 Literature Review -- 4 Application in Finance and the Way Forward -- References -- MRI-Based Brain Tumor Classification Using Various Deep Learning Convolutional Networks and CNN -- 1 Introduction -- 2 Related Work -- 3 System Architecture and Design -- 3.1 Description -- 3.2 Data Preprocessing -- 3.3 Proposed Model -- 3.4 Architecture and Design Proposed Model -- 4 Model Evaluation Result -- 4.1 Hypothetical Setup -- 4.2 Hypothetical Result -- 4.3 Confusion Matrix -- 4.4 Performance Evaluation -- 5 Conclusion -- References -- Deciphering Handwritten Text: A Convolutional Neural Network Framework for Handwritten Character Recognition -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Description -- 4 Implementation -- 4.1 Device Set-Up -- 4.2 Implementation -- 5 Experimental Result -- 6 Conclusion -- References -- Applying Machine Learning Techniques to Forecast Demand in a South African Fast-Moving Consumer Goods Company -- 1 Introduction -- 2 Literature Review -- 3 Methodology and Data -- 3.1 Exploratory Data Analysis -- 3.2 Modeling -- 3.3 Accuracy Measures -- 4 Empirical Results -- 4.1 Exploratory Data Analysis -- 4.2 Demand Modeling -- 4.3 Moving Averages -- 4.4 SARIMA Model Results -- 4.5 Forecasting Using ANN Model -- 4.6 Model Accuracy.
5 Conclusions -- References -- A Review on Machine Learning Algorithms for Cost Estimation in Construction Projects -- 1 Introduction -- 1.1 Cost Estimation Modelling Techniques -- 1.2 Machine Learning for Cost Estimation -- 1.3 Main Contribution -- 1.4 Paper Organization -- 2 Related Work -- 3 Open Research Challenges -- 4 Conclusion -- References -- A Computer Assisted Detection Framework of Kidney Diseases Based on CNN Model -- 1 Introduction -- 2 Background -- 3 Related Work -- 4 Materials and Methods -- 4.1 Dataset -- 4.2 Methodological Approach and Proposed Models -- 4.3 Pseudo Code -- 5 Experimental Result -- 5.1 Result -- 5.2 Performance Evaluation -- 6 Conclusion -- References -- Rice Blast Disease Detection Using CNN Models and DCGAN -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Preparation -- 3.2 Data Pre-processing -- 3.3 Network Architecture -- 4 Experimental Result and Discussion -- 5 Conclusion -- References -- Evaluation of Performance of Different Machine Learning Techniques for Structural Models -- 1 Introduction -- 2 The Prediction Methodologies -- 2.1 Support Vector Regression (SVR) -- 2.2 K-Nearest Neighbor (k-NN) -- 2.3 Bagging -- 3 Numerical Examples -- 3.1 Structural Models -- 3.2 Investigation of Prediction Models -- 4 Results -- 4.1 Prediction Performance and Error Measurements for Training Models -- 4.2 Prediction Performance and Error Measurements for Test Models -- 5 Conclusion -- References -- Age Estimation from Human Facial Expression Using Deep Neural Network -- 1 Introduction -- 2 Related Research -- 3 Materials and Proposed Methodology -- 3.1 CNN Architecture -- 3.2 Attention Module -- 3.3 Model Design and Tuning -- 4 Result and Observation -- 4.1 Dataset and Preprocessing -- 4.2 Augmentation Techniques -- 4.3 Performance Evaluation and Hyperparameters Tuning -- 5 Conclusion and Future Work.
References.
Record Nr. UNINA-9910763592003321
Vasant Pandian  
Cham : , : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent computing and optimization : proceedings of the 3rd International Conference on Intelligent Computing and Optimization 2020 (ICO 2020) / / edited by Pandian Vasant; Ivan Zelinka; Gerhard-Wilhelm Weber
Intelligent computing and optimization : proceedings of the 3rd International Conference on Intelligent Computing and Optimization 2020 (ICO 2020) / / edited by Pandian Vasant; Ivan Zelinka; Gerhard-Wilhelm Weber
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (1,341 pages) : illustrations
Disciplina 016.403
Collana Advances in intelligent systems and computing
Soggetto topico Artificial intelligence
Computational intelligence
ISBN 3-030-68154-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484076003321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligent computing and optimization : proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) / / Pandian Vasant, Ivan Zelinka and Gerhard Wilhelm Weber, editors
Intelligent computing and optimization : proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) / / Pandian Vasant, Ivan Zelinka and Gerhard Wilhelm Weber, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2021]
Descrizione fisica 1 online resource (1020 pages) : (XXIV, 1006 p. 436 illus., 338 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Networks and Systems
Soggetto topico Computational intelligence
Computational intelligence - Simulation methods
ISBN 3-030-93247-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Low-Light Image Enhancement with Artificial Bee Colony Method --Optimal State-Feedback Controller Design for Tractor Active Suspension System via Lévy-Flight Intensified Current Search Algorithm --The Artificial Intelligence Platform with the Use of DNN to Detect Flames: A Case of Acoustic Extinguisher --Adaptive harmony search for cost optimization of reinforced concrete columns --Best Traffic Signs Recognition Based on CNN Model for Self-Driving Cars --Optimisation and Prediction of Glucose Production from Oil Palm trunk via Simultaneous Enzymatic Hydrolysis --Synthetic data augmentation of cycling sport training datasets --Optimal Compensation of Bouc-Wen model hysteresis using square dither --Hybrid Pooling Based Convolutional Neural Network for Multi-class Classification of MR Brain Tumor Images --Importance of Fuzzy Logic in Traffic and Transportation Engineering --A Fuzzy Based Clustering Approach to Prolong the Network Lifetime in WSNs --Visual Expression Analysis from Face Images Using Morphological Processing --Detection of invertebrate virus carriers using deep learning networks to prevent emerging pandemic-prone disease in tropical regions --Classification and detection of Plant Leaf Diseases using various Deep Learning techniques and Convolutional Neural Network --Distributed Self-triggered Optimization for Multi-agent Systems --Automatic Categorization of News Articles and Headlines using Multi-layer Perceptron --Using Machine Learning Techniques for Estimating the Electrical Power of a New-Style of Savonius Rotor: A Comparative Study --Tree-like Branching Network for Multi-class Classification --Multi-Resolution Dense Residual Networks with High- Modularization for Monocular Depth Estimation --A Decentralized Federated Learning paradigm for Semantic Segmentation of Geospatial Data --Development of Contact Angle Prediction for Cellulosic Membrane --Feature Engineering Based Credit Card Fraud Detection for Risk Minimization in E-Commerce --DCNN-LSTM Based Audio Classification Combining Multiple Feature Engineering and Data Augmentation Techniques --Sentiment Analysis: Developing an Efficient Model Based on Machine Learning and Deep Learning Approaches --Improved Face Detection System --Paddy Price Prediction in the South-Western Region of Bangladesh --Paddy Disease Prediction Using Convolutional Neural Network --Android Malware Detection System: A Machine Learning and Deep Learning based Multilayered Approach.
Record Nr. UNINA-9910522927103321
Cham, Switzerland : , : Springer International Publishing, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui