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

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 Spotifys 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 Airlines 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.