Cognitive Computing and Cyber Physical Systems: 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part I

This 2-volume set constitutes the post-conference proceedings of the 4th EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2023, Bhimavaram, Andhra Pradesh, India, during August 4-6, 2023. The theme of IC4S 2023 was: cognitive approaches with machine learning and advanced communications. The 70 full papers were carefully reviewed and selected from 165 submissions. The papers are clustered in thematical issues as follows: machine learning and its applications; cyber security and signal processing; image processing; smart power systems; smart city eco-system and communications.

Table of Contents:
Machine Learning and Its Applications.- Schizophrenia Identification through Deep Learning on Spectrogram Images.- An Optimized Ensemble Machine Learning Framework for Multi-Class Classification of Date Fruits by Integrating Feature Selection Techniques.- Harmonizing Insights: Python-based Data Analysis of Spotify’s Musical Tapestry.- Comparative Study of Predicting Stock Index Using Deep Learning Models.- Enhancing Heart Disease Prediction through a Heterogeneous Ensemble DL Models.-  IoT-based pesticide detection in fruits and vegetables using Hyperspectral Imaging and deep learning.- STATISTICAL ANALYSIS OF HEMATOLOGICAL PARAMETERS FOR PREDICTION OF SICKLE CELL DISEASE.- Optimized Route Planning and Precise Circle Detection in Unmanned Aerial Vehicle with Machine Learning.-  DRL based multi-objective resource optimization technique in a multi-cloud environment.- Aspect Level Sentiment Analysis to extract valuable insight for Airline’s customer Feedback and Reviews.- Drug Recommendations Using A Reviews And Sentiment Analysis By RNN.- Optimizing Real Estate Prediction - A Comparative Analysis of Ensemble and Regression Models.-  ESTIMATION OF POWER CONSUMPTION PREDICTION OF ELECTRICITY USING MACHINE LEARNING.- Medical Plants Identification using Leaves Based on Convolutional Neural Networks.- An Efficient Real-time NIDS using Machine-learning methods.- Maixdock Based Driver Drowsiness Detection System Using CNN.-  A Novel Approach to Visualize Arrhythmia Classification Using 1D CNN.- Exploring Machine Learning Models for Solar Energy Output Forecasting.- The survival analysis of mental fatigue utilizing the estimator of Kaplan-Meier and Nelson-Aalen.- Cyber Security and Signal Processing.- EEMS - EXAMINING THE ENVIRONMENT OF THE JOB METAVERSE SCHEDULING FOR DATA SECURITY.-  Text Analysis Based Human Resource Productivity Profiling.- A novel technique for analyzing the sentiment of social media posts using deep learning techniques.- Comparative Analysis of Pretrained Models for Speech Enhancement in Noisy Environments.- Use of Generative Adversarial Network (GAN) under insufficient data.- Unraveling the Techniques for Speaker Diarization.- LUT-Based Area-Optimized Accurate Multiplier Design for signal processing applications.- Speaker Recognition using Convolutional Autoencoder in Mismatch Condition with Small Dataset in noisy background.-  Face Emotion Recognition based on images using the Haar-Cascade front end approach.- TextRank-based Keyword Extraction for Constructing a Domain-Specific Dictionary.- Creating a Protected Virtual Learning Space: A Comprehensive Strategy for Security and User Experience in Online Education.- LIGHTWEIGHT CRYPTOGRAPHY MODEL FOR OVERHEAD AND DELAY REDUCTION IN THE NETWORK.- Modelling the Data Object Routing in Data Aware Networking.- Image Processing.- Glaucoma Stage Classification using Image empirical mode decomposition (IEMD) and Deep Learning from Fundus Images.- Implementation and Performance Evaluation of Asymmetrical Encryption scheme for Lossless Compressed Grayscale Images.- Optimization of Single Image Dehazing based on Stationary Wavelet Transform.-  A Chest X-Ray Image Based Model for Classification and Detection of Diseases.-  Enlighten GAN for super resolution images from survelillance car.- Brain Tumor Classification through MR Imaging: A Comparative Analysis.-  An Efficient Denoising of Medical Images Through Convolutional Neural Network.