Intelligent Computing and Optimization : Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 3 / / edited by Pandian Vasant, Mohammad Shamsul Arefin, Vladimir Panchenko, J. Joshua Thomas, Elias Munapo, Gerhard-Wilhelm Weber, Roman Rodriguez-Aguilar

• Autore: Vasant Pandian
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (376 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Computational Intelligence; Artificial Intelligence
• Altri autori: Shamsul ArefinMohammad PanchenkoVladimir ThomasJ. Joshua MunapoElias WeberGerhard-Wilhelm Rodriguez AguilarRoman
• 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.
• Sommario/riassunto: This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment. .
• Titolo autorizzato: Intelligent Computing and Optimization
• ISBN: 3-031-50327-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910770278603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 853