Cognitive Computing and Cyber Physical Systems
Springer International Publishing (Verlag)
978-3-031-77074-6 (ISBN)
The 102 full papers presented were carefully reviewed and selected from 266 submissions.
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.
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.
| Erscheinungsdatum | 12.02.2025 |
|---|---|
| Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Zusatzinfo | XXV, 455 p. 233 illus., 198 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Autonomous Systems • cognitive computing • Cyber-Physical Systems • Distributed robotics • Human-Machine Interaction • Industrial IoT • intelligent transportation • internet of things • Security and trust management of CPS • Sensor-based communication • Smart Grid |
| ISBN-10 | 3-031-77074-9 / 3031770749 |
| ISBN-13 | 978-3-031-77074-6 / 9783031770746 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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