Del 2427 i serien Communications in Computer and Information Science

Artificial Intelligence Based Smart and Secured Applications

Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part IV

Häftad, Engelska, 2025

AvSridaran Rajagopal,Kalpesh Popat,Divyakant Meva,Sunil Bajeja,Pankaj Mudholkar

1 269 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

The six-volume set, CCIS 2424 - 2429, constitutes the refereed proceedings of the Third International Conference on Advances in Smart Computing and Information Security, ASCIS 2024, held in Rajkot, Gujarat, India, in October 16–18, 2024.The 138 full papers and 43 short papers presented in these six volumes were carefully reviewed and selected from 667 submissions.The papers presented in these six volumes are organized in the following topical sections:Part I, II, III, IV: Artificial Intelligence & Machine LearningPart V: Smart Computing; Network and Cloud Computing.Part VI: Cyber Security; Computer Application for Sustainability.

Produktinformation

Utgivningsdatum2025-04-12
Mått155 x 235 x 27 mm
Vikt744 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor436
FörlagSpringer International Publishing AG
ISBN9783031862984

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

.- Artificial Intelligence & Machine Learning..- Deep Learning Methodologies for Segmentation and Classification of Cutaneous Malignancies Utilizing Capsule Networks..- Prediction of Anti-Cholinesterase drug for Alzheimer disease using Machine Learning Techniques..- Scrutinize Search Engine Optimization strategies with Artificial Intelligence to Rank a website..- A STUDY ON MACHINE LEARNING ALGORITHMS: FORECASTING CROP PRICES..- Improving Student Stress Analysis: Novel Methods for Collecting, Preprocessing, and Fusing Features..- Extraction of normal and abnormal region in Colposcopy image to support cervical cancer clinical decision..- Optimizing Pricing Strategies: A Comprehensive Framework Using Bayesian Inference and Game Theory..- Hybrid Ensemble Gradient Boosting Algorithm to Predict Diabetes Health Care Analytics..- A Review on Machine Learning Algorithms for Real-Time Traffic Management..- Hyperparameter-Tuned Intention Mining for Mental Health Diagnosis Using Logistic Regression .- Machine Learning for Accessible and Precise Assessment in Smart Monitoring Systems..- An Efficient Model for Academic Performance Prediction of the University Students..- Comprehensive Comparative Study on Data Mining and Machine Learning Approaches for fraud Detection in Financial Services..- Prediction of Stock Price and Detection of Stock Market Trends using Adaptive Learning Techniques..- Decentralized EHR Exchange in Healthcare: Enhancing Privacy and Security with Blockchain and Cryptographic Techniques..- Detection and Analysis of Features of Optic Nerve Head using Retinal Fundus Images of an Eye for A priori Prediction of Glaucoma..- A Hybrid Deep Learning Framework for Uncertain Supply Chains: An Optimization Approach..- A Comprehensive Review of Machine Learning techniques in Recommender System for E-Commerce Platform..- Ethics of AI in the Educational Sector - Navigating the Moral Landscape..- Integrating Multimodal Data with Mathematical Models for Effective Fake News Classification..- Breast Cancer Diagnosis: A Comprehensive Evaluation of Machine Learning Techniques..- Applied ML Algorithms for Happiness Index Prediction of Nations..- An Empirical Assessment of Credit Risk of Indian Companies Using Machine Learning Algorithms..- An Efficient Intrusion Detection System Using Deep Learning Techniques..- ENGAGING CORONARY HEART DISEASE PREDICTION (VEIN) THROUGH FEATURE U-NET IMPROVEMENT WITH ENSEMBLE LEARNING BASED HYBRID BAGGING AND BOOSTING TECHNIQUES..- Leveraging Social Media Data to Improve Disaster Response and Recovery Efforts using Artificial Intelligence Techniques: A Comprehensive Review..- International Law and AI Interface..- Predicting Stock Price Movements with Recurrent Neural Networks: An LSTM-Based Approach.