10996nam 22005173 450 991076359200332120231114080224.03-031-36246-2(MiAaPQ)EBC30881058(Au-PeEL)EBL30881058(CKB)28817635800041(EXLCZ)992881763580004120231114d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntelligent Computing and Optimization Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 11st ed.Cham :Springer,2023.©2023.1 online resource (364 pages)Lecture Notes in Networks and Systems Series ;v.729Print version: Vasant, Pandian Intelligent Computing and Optimization Cham : Springer,c2023 9783031362453 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.Lecture Notes in Networks and Systems SeriesVasant Pandian1073665Shamsul Arefin Mohammad1439019Panchenko Vladimir1439020Thomas J. Joshua1439021Munapo Elias1439022Weber Gerhard-Wilhelm1368889Rodriguez-Aguilar Roman1438689MiAaPQMiAaPQMiAaPQBOOK9910763592003321Intelligent Computing and Optimization3601264UNINA