Cantitate/Preț
Produs
Total produse
Vezi coșul
Accelerating Discoveries in Data Science and Artificial Intelligence II: ICDSAI 2023, LIET Vizianagaram, India, April 24–25 de Frank M. Lin

Accelerating Discoveries in Data Science and Artificial Intelligence II: ICDSAI 2023, LIET Vizianagaram, India, April 24–25: Springer Proceedings in Mathematics & Statistics, cartea 438

Editat de Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana
en Limba Engleză Hardback – 14 mai 2024
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 Data Science. With the fascinating development of technologies in several industries, there are numerous opportunities to develop innovative intelligence technologies to solve a wide range of uncertainties in various real-life problems. Researchers and academics have been drawn to building creative AI strategies by combining data science with classic mathematical methodologies. The book brings together leading researchers who wish to continue to advance the field and create a broad knowledge about the most recent research.
Citește tot Restrânge

Din seria Springer Proceedings in Mathematics & Statistics

Preț: 123732 lei

Preț vechi: 154665 lei
-20% Nou

Puncte Express: 1856
Preț estimativ în valută:
23681€ • 24982$ • 19734£

Carte disponibilă

Livrare economică 12-26 decembrie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031511622
ISBN-10: 303151162X
Pagini: 380
Ilustrații: XIV, 380 p. 170 illus., 131 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.82 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Springer Proceedings in Mathematics & Statistics

Locul publicării:Cham, Switzerland

Cuprins

Mood-Based Music Recommendation System (Sravanthi).- Internet Employment Detection Scam Via Fake  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).-  Multikeyword Ranked Search With Privacy Protection Over Encrypted Cloud Data (Saranya).- BERT based Similarity Measures Oriented Approach for Style  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  BASnet and Screenpoint Algorithms (Adimalla).- Maximization Of Energy-Efficiency For  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  MACHINE LEARNING BASED  TOLL COLLECTION SYSTEM FOR MOVING VEHICLES (Sridhar).- Hack Investigation and Probing using BEOS (Sridevi).

Textul de pe ultima copertă

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 Data Science. With the fascinating development of technologies in several industries, there are numerous opportunities to develop innovative intelligence technologies to solve a wide range of uncertainties in various real-life problems. Researchers and academics have been drawn to building creative AI strategies by combining data science with classic mathematical methodologies. The book brings together leading researchers who wish to continue to advance the field and create a broad knowledge about the most recent research.

Caracteristici

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