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Artificial Intelligence for Renewable Energy and Climate Change
Artificial Intelligence for Renewable Energy and Climate Change
Autore Vasant Pandian
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2022
Descrizione fisica 1 online resource (492 pages)
Altri autori (Persone) WeberGerhard Wilhelm
ThomasJ. Joshua
Marmolejo-SaucedoJosé Antonio
Rodriguez-AguilarRoman
Soggetto genere / forma Electronic books.
ISBN 1-119-77152-8
1-119-77151-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910590098103321
Vasant Pandian  
Newark : , : John Wiley & Sons, Incorporated, , 2022
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 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 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 2
Intelligent Computing and Optimization : Proceedings of the 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 2
Autore Vasant Pandian
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2025
Descrizione fisica 1 online resource (435 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 9783031733185
3031733185
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910920442903321
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 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 3
Intelligent Computing and Optimization : Proceedings of the 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 3
Autore Vasant Pandian
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2025
Descrizione fisica 1 online resource (273 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 9783031733215
3031733215
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910917785803321
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
Opac: Controlla la disponibilità qui
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 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 1 / / edited by Pandian Vasant, Vladimir Panchenko, Elias Munapo, Gerhard-Wilhelm Weber, J. Joshua Thomas, Rolly Intan, Mohammad Shamsul Arefin
Intelligent Computing and Optimization : Proceedings of the 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 1 / / edited by Pandian Vasant, Vladimir Panchenko, Elias Munapo, Gerhard-Wilhelm Weber, J. Joshua Thomas, Rolly Intan, Mohammad Shamsul Arefin
Autore Vasant Pandian
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (425 pages)
Disciplina 006.3
Altri autori (Persone) PanchenkoVladimir
MunapoElias
WeberGerhard Wilhelm
ThomasJ. Joshua
IntanRolly
Shamsul ArefinMohammad
Collana Lecture Notes in Networks and Systems
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 9783031508875
3031508874
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Leveraging Quantum Artificial Intelligence for Intelligent Face Recognition on the Internet of Medical Things (IoMT) for Smart City Surveillance -- Enhancing Privacy and Security for UAV and IoT Enabled Drones An Intelligent Integration of Blockchain, AI, and Quantum Computing -- Harnessing the Synergy of Blockchain, Artificial Intelligence, and Sustainable Energy for a Greener Future -- Impact of Artificial Intelligence on Compulsive Buyers -- Temperature and Humidity Optimization of Smart Greenhouses: Comparison Between Simulated Annealing and Genetic Algorithm -- Utilizing Fuzzy Logic for Autism Detection: An Expert System Framework -- Leveraging Sentiments Generated by AI to Manage Favorable Reviews -- Leveraging AI on images captured through drones for Solar Panel Fault Identification -- Optimizing Energy Usage: Genetic Algorithms Leading the Charge Toward Sustainability -- Novel Bat Algorithm with Cubic Cost Function for Thermal Economic Dispatch Problem Solving.
Record Nr. UNINA-9910919818903321
Vasant Pandian  
Cham : , : Springer Nature Switzerland : , : Imprint : 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

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