Cognitive Computing and Cyber Physical Systems

5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part-I

Häftad, Engelska, 2025

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This book constitutes the refereed proceedings of the 5th EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024, held in Bhimavaram, India, during April 5-7, 2024.The 102 full papers presented were carefully reviewed and selected from 266 submissions. The proceedings focus on Cyber-physical systems, cognitive computing, Internet of Things, Smart grid, Security and trust management of CPS, Industrial IoT, Autonomous systems, Intelligent Transportation, Human-Machine Interaction, Distributed robotics, Sensor-based communication.

Produktinformation

Utgivningsdatum:2025-02-09
Mått:155 x 235 x 28 mm
Vikt:720 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:455
Förlag:Springer International Publishing AG
ISBN:9783031770746

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Artificial Intelligence and Machine Learning Applications.- Harnessing the Combined Power of Artificial Intelligence and Machine Learning for Diagnosis of Brain Tumor.- A Comparative Study between Support Vector Machine and Long Short Term Memory Models on Sentiment Analysis of Movie Reviews.- Comparative Analysis between Fuzzy Theorem and KNN Methodology for Fault and Anomaly Detection.- Production Classification in E Commerce Based on Product Descriptions with Natural Language Processing (NLP) and Machine Learning Models.- Defense Strategy Security Mechanism for Sensor Network.- An Efficient approach for Food Demand Forecasting using an Ensemble Technique and Statistical Analysis.- Identification of Different Medicinal Plants Using Machine Learning and Image Processing.- Leveraging the Power of MRMR in Machine Learning Models for Multi Class Classification of Rice to Promote Sustainable and Efficient Smart Farming.- Performance Analysis of Word Recognition System Using Tensor Flow.- A Distinct Artificial Feed Forward Neural Network (AF2NN) Model for Predicting Compressive Strength of Geo Polymer Concrete.- Performance Assessment of Deep learning-models for Kidney Tumor Segmentation using CT Images.- Investigation of Quantum Machine Learning for Smart Eco System Focusing on Energy Optimization.- Classification Of Skin Cancer using CNN with Transformer Layer.- A Unified Approach to Smart Coconut Farming with IoT and Deep Learning for recommendation of Pesticides and Fertilizers.- Classifying The Severity of Diabetic Retinopathy using Deep Learning.- Exploring Prominent Convolutional Neural Network Frameworks to Identify COVID 19 deceases by Using Medical Images.- Non-Invasive Technique for Detecting Glycosuria Through Image Processing and Deep Learning Approaches.- Deep Learning Strategies for Multiclass Skin Disease Classification.- AI driven Glaucoma Susceptibility Assessment and Lifestyle Guidance.- Deep Learning in Cartoon Moderation Distinguishing Child Friendly Content with CNN Architectures.- Comparative Analysis of Mice Protein Expression Data Assessing Genotype and Behavioral Treatments Using Machine Learning Algorithms.- An Efficient Sentiment Classification Model using Fusion of BERT and Deep Learning RNN Variants.- InnovativeTunes Utilizing Machine Learning for Predicting Spotify Music Popularity Based on Audio Features.- AquaMap Empowering Communities to Report and Map Water Related Issues in Real Time with Deep Learning.- A Comprehensive Analysis of Machine Learning and Deep Learning based Product Recommendation System.- Deep Learning based hazard evaluation for resource network setting up via Horizontal Directional Drilling.- Ensemble Fusion for Enhanced Malicious URL Detection by Integrating Machine Learning and Deep Learning Techniques.- Assessment of the Decay of Monuments Using Deep Learning and CNN.- RF and Microwave Technology.- A Wideband Metamaterial Perfect Absorber for Terahertz Applications.- Defective Ground Structure Based Dual Port MIMO Antenna Configuration for Future Generation Communication Networks.- Miniatured Triple band Two Element Monopole MIMO Antenna for 5G N38, N77 and N79 Band Communications.- Comparative Analysis of RL based Resource Allocation Methods for Optimization in 5G MMWave Network.- Design and Modeling of Frequency Reconfigurable Microstrip Patch by Using Bow Tie Geometry.- Exploring 6G Wireless Networks Millimeter Wave Revolution and Mixed Carrier Communication for Enhanced Spectrum Efficiency.- Short Range Visible Light communication LED based Indoor Applications.

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Cognitive Computing and Cyber Physical Systems

5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part-I

AvPrakash Pareek,Sumita Mishra

Häftad, Engelska, 2025

Del 597 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

2 262 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

853 kr

1 024 kr

911 kr

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2 488 kr

1 135 kr

Beskrivning

Produktinformation

Utgivningsdatum:2025-02-09
Mått:155 x 235 x 28 mm
Vikt:720 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:455
Förlag:Springer International Publishing AG
ISBN:9783031770746

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Artificial Intelligence and Machine Learning Applications.- Harnessing the Combined Power of Artificial Intelligence and Machine Learning for Diagnosis of Brain Tumor.- A Comparative Study between Support Vector Machine and Long Short Term Memory Models on Sentiment Analysis of Movie Reviews.- Comparative Analysis between Fuzzy Theorem and KNN Methodology for Fault and Anomaly Detection.- Production Classification in E Commerce Based on Product Descriptions with Natural Language Processing (NLP) and Machine Learning Models.- Defense Strategy Security Mechanism for Sensor Network.- An Efficient approach for Food Demand Forecasting using an Ensemble Technique and Statistical Analysis.- Identification of Different Medicinal Plants Using Machine Learning and Image Processing.- Leveraging the Power of MRMR in Machine Learning Models for Multi Class Classification of Rice to Promote Sustainable and Efficient Smart Farming.- Performance Analysis of Word Recognition System Using Tensor Flow.- A Distinct Artificial Feed Forward Neural Network (AF2NN) Model for Predicting Compressive Strength of Geo Polymer Concrete.- Performance Assessment of Deep learning-models for Kidney Tumor Segmentation using CT Images.- Investigation of Quantum Machine Learning for Smart Eco System Focusing on Energy Optimization.- Classification Of Skin Cancer using CNN with Transformer Layer.- A Unified Approach to Smart Coconut Farming with IoT and Deep Learning for recommendation of Pesticides and Fertilizers.- Classifying The Severity of Diabetic Retinopathy using Deep Learning.- Exploring Prominent Convolutional Neural Network Frameworks to Identify COVID 19 deceases by Using Medical Images.- Non-Invasive Technique for Detecting Glycosuria Through Image Processing and Deep Learning Approaches.- Deep Learning Strategies for Multiclass Skin Disease Classification.- AI driven Glaucoma Susceptibility Assessment and Lifestyle Guidance.- Deep Learning in Cartoon Moderation Distinguishing Child Friendly Content with CNN Architectures.- Comparative Analysis of Mice Protein Expression Data Assessing Genotype and Behavioral Treatments Using Machine Learning Algorithms.- An Efficient Sentiment Classification Model using Fusion of BERT and Deep Learning RNN Variants.- InnovativeTunes Utilizing Machine Learning for Predicting Spotify Music Popularity Based on Audio Features.- AquaMap Empowering Communities to Report and Map Water Related Issues in Real Time with Deep Learning.- A Comprehensive Analysis of Machine Learning and Deep Learning based Product Recommendation System.- Deep Learning based hazard evaluation for resource network setting up via Horizontal Directional Drilling.- Ensemble Fusion for Enhanced Malicious URL Detection by Integrating Machine Learning and Deep Learning Techniques.- Assessment of the Decay of Monuments Using Deep Learning and CNN.- RF and Microwave Technology.- A Wideband Metamaterial Perfect Absorber for Terahertz Applications.- Defective Ground Structure Based Dual Port MIMO Antenna Configuration for Future Generation Communication Networks.- Miniatured Triple band Two Element Monopole MIMO Antenna for 5G N38, N77 and N79 Band Communications.- Comparative Analysis of RL based Resource Allocation Methods for Optimization in 5G MMWave Network.- Design and Modeling of Frequency Reconfigurable Microstrip Patch by Using Bow Tie Geometry.- Exploring 6G Wireless Networks Millimeter Wave Revolution and Mixed Carrier Communication for Enhanced Spectrum Efficiency.- Short Range Visible Light communication LED based Indoor Applications.