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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
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| Newark : , : John Wiley & Sons, Incorporated, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Handbook of research on holistic optimization techniques in the hospitality, tourism and travel industry / / Pandian Vasant and Kalaivanthan M, editors
| Handbook of research on holistic optimization techniques in the hospitality, tourism and travel industry / / Pandian Vasant and Kalaivanthan M, editors |
| Autore | Vasant Pandian |
| Pubbl/distr/stampa | Hershey, Pennsylvania : , : IGI Global, , 2017 |
| Descrizione fisica | PDFs (514 pages) : illustrations |
| Disciplina | 647.94 |
| Collana | Advances in Hospitality, Tourism, and the Services Industry |
| Soggetto topico |
Hospitality industry - Management - Mathematics
Mathematical optimization |
| Soggetto non controllato |
Algorithms
Booking cancellations Capacity management Investment decisions Online booking Supply chain management Tourism consumption Tourism security User-generated content |
| ISBN |
9781522510550
9781522510543 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Holistic technical solutions to enhance accessible tourism in the UNESCO World Heritage Sites / Anna Pawlikowska Piechotka [and 4 others] -- A Bertrand game-based approach to hotel yield management strategies / Junzo Watada, Koki Yoshimura, Pandian Vasant -- Tourism search and metasearch engines for online booking: what do they offer? / Trinidad Domínguez [and 3 others] -- Optimizing investment decisions using DCF, decision tree analysis, and real options analysis: the case of hotel expansions / Ramya Rajajagadeesan Aroul -- Mastering customer service, customer experience, and customer orientation in the hospitality and tourism industry / Kijpokin Kasemsap -- Using data science to predict hotel booking cancellations / Nuno António, Ana de Almeida, Luis M. M. Nunes -- User-generated content and its influence on tourists' choices: how do the Spanish make hotel reservations online? / Giacomo Del Chiappa, Giuseppe Melis, Marcello Atzeni -- Minimizing the cost of capital in hotel investments / Prashant Das, Gabrielle Bodenmann -- Introduction to tourism security: tourism in the age of terrorism / Maximiliano Emanuel Korstanje -- An overview of tourism supply chains management and optimization models (TSCM - OM) / Jonnatan F. Avilés-González, Sonia Valeria Avilés-Sacoto, Leopoldo Eduardo Cárdenas-Barrón -- Benefits and value of investments in information systems: the case of enterprise resource planning (ERP) systems in the hospitality industry / Paula Serdeira Azevedo, Carlos Azevedo, Mário Romão --
Risk, terrorism, and tourism consumption: the end of tourism / Korstanje Maximiliano -- Capacity management in hotel industry for Turkey / Deniz Efendioglu, Serol Bulkan -- Shaping and re-shaping tourism areas: a network approach / Vincenzo Asero, Simona Gozzo, Venera Tomaselli -- On interdisciplinary intersection of unconventional algorithms and big data processing in real world problems: a real world example based on Ho Chi Minh City traffic / Ivan Zelinka [and 4 others] -- Cooperative optimization of tourism networks: an application of a game theory model / Vincenzo Asero, Sebastiano Patti, Stefania Skonieczny -- Optimisation of wine and spirit inventory assets in fine dining restaurants / J. E. (Joe) Barth -- Young tourists' perceptions of hotel disintermediation: evidence from Italy / Giacomo Del Chiappa, Mariella Pinna, Marcello Atzeni -- Prey predator algorithm for travelling salesman problem: application on the Ethiopian tourism sites / Surafel Luleseged Tilahun, Natnael Nigussie Goshu, Jean Medard T. Ngnotchouye -- Modeling tourists' opinions using RIDIT analysis / Subhajit Bhattacharya, Rohit Vishal Kumar. |
| Record Nr. | UNINA-9910149369303321 |
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Vasant Pandian
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| Hershey, Pennsylvania : , : IGI Global, , 2017 | ||
| 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 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
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| 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 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
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||
| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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) |
| 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
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||
| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
| ISBN | 3-031-36246-2 |
| 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. 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| Record Nr. | UNINA-9910763592003321 |
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Vasant Pandian
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| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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