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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 /

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 proceed...

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Dettagli Bibliografici
Ente Autore: SpringerLink (Online service)
Altri autori: Pareek, Prakash (Redattore), Mishra, Sumita (Redattore), Reis, Manuel J. C. S. (Redattore), Gupta, Nishu (Redattore)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizione:1st ed. 2025.
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 597
Soggetti:
Computer Networks.
Artificial intelligence.
Application software.
Computers, Special purpose.
Artificial Intelligence.
Computer and Information Systems Applications.
Special Purpose and Application-Based Systems.
Accesso online:https://doi.org/10.1007/978-3-031-77075-3
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Sommario:
  • 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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