Details

<p>Mood-Based Music Recommendation System (Sravanthi).- Internet Employment Detection Scam Via Fake&nbsp; Jobs With Random Forest Classifier (Madhavi).- Sentiment Analysis and Age Factor Influences on Brand usage of Personal Care Products: A Study with Reference to Visakhapatnam City, in India (Tuduku).- Construction of Pythagorean and Reciprocal Pythagorean n-tuples (Srinivas).- Statistical Approaches for Forecasting Air pollution: A review (Rao).- Computer-Assisted Statistical Analysis of L-Methionine Protonation Equilibria in The Anionic, Cationic, and Neutral Micellar Systems (R Neeraja).- A Study on Benefits of Continuous Integration and Continuous Delivery in Software Engineering (Reddy).- A Review on Mango Fruit Disease Detection and pesticide Suggestion (Reddy).-&nbsp; Multikeyword Ranked Search With Privacy Protection Over Encrypted Cloud Data (Saranya).- BERT based Similarity Measures Oriented Approach for Style&nbsp; Change Detection (Mohan).- Computer Vision Based Malpractice Detection System (AnnanNaidu).- The evolution of Influence maximization studies: A scientometric analysis (M Venunath).- A Survey on Evolving Optimal Cryptographic Techniques in Cloud Computing Data Forensics (Pinnamaraju).- DR-HIPI: Performance evaluation of retinal images for DR lesion segmentation using the HIPI architecture (Devi).- Adaptability of Robotic Process Automation and Capabilities of Human Automation (Midde).- A brief Review on Impact of Digital Trading on Conventional marketing Strategies after covid-19 effect on E-Commerce (Tuduku).- Fall Support Assistant Application (Sivaramakrishnan).- A Systematic VANET traffic congestion by eliminating recursion using Intervention Linear Minimum Spanning Tree (ILMST) for Traffic Management System (Sahu).- Realtime Object Cloning in Augmented Reality using&nbsp; BASnet and Screenpoint Algorithms (Adimalla).- Maximization Of Energy-Efficiency For&nbsp; Optimal Spectral Efficiency In Massive Mimo System (Borugadda).- OptimizationOf Spectral Efficiency Using Precoding Techniques In Multi Cell Massive Mimo (Borugadda).- The effect of prerequisite engineering processes on the production of risk factors in software development (Akula).- Comparison of Channel Equalization Schemes for MIMO-OFDM (Sujatha).- QoS Enhancement through Link-Quality Prediction using Signal-To-Noise Ratio in MANET (Viswanath).- Credential Manager using Cloud Computing (Shaik).- Accident Detection, Alert and Tracking System Based on IoT (Sivaramakrishnan).- Real time storage in cloud and access control policies using blockchain (Pranitha).- Artificial Intelligence and Internet of Things Applications in Smart Grid Security: A survey (Inala).- An Optimized Mechanism to Improve the Performance of Proxy Mobile Ipv6 Using Augmented Open-Flow Technique (Indumathi).- A Secure way to Message based on Internet Protocol on RSA algorithm using DNA encoding with Laplace Transform Computing (Nagalakshmi).- An Integrated Information Security Risk Assessment (IISRA) Approach (Dixit).- Congestion Control and Avoidance Scheme using Mobile Nodes in Wireless Sensor Network (Suma).-. ATOMATIC IOT AND&nbsp; MACHINE LEARNING BASED&nbsp; TOLL COLLECTION SYSTEM FOR MOVING VEHICLES (Sridhar).- Hack Investigation and Probing using BEOS (Sridevi).</p>

<p>This edited volume on machine learning and big data analytics (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, International Association of Academicians (IAASSE), and Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and&nbsp;Data Science. With the fascinating development of technologies in several&nbsp;industries, there are numerous opportunities to develop innovative&nbsp;intelligence technologies to solve a wide range of uncertainties in various&nbsp;real-life problems. Researchers and academics have been drawn to&nbsp;building creative AI strategies by combining data science with classic&nbsp;mathematical methodologies. The book brings together leading&nbsp;researchers who wish to continue to advance the field and create a broad&nbsp;knowledge about the most recent research.<br></p><p></p>

Brings together leading researchers who wish to continue to advance the field Creates a broad knowledge about the most recent research Provides awareness of mathematical algorithms used for AI and data science in the academic and professional community