Machine Intelligence and Smart Systems: Third International Conference, MISS 2023, Bhopal, India, January 24-25, 2023, Revised Selected Papers, Part I

by Manish Gupta (Editor), Shikha Agrawal (Editor), Kamlesh Gupta (Editor), Jitendra Agrawal (Editor), Korhan Cengis (Editor)

Overview

​The two-volume set CCIS 1951 and 1952 constitutes the refereed post-conference proceedings of the Third International Conference on Machine Intelligence and Smart Systems, MISS 2023, Bhopal, India, during January 24-25, 2023. 

The 58 full papers included in this book were carefully reviewed and selected from 203 submissions. They were organized in topical sections as follows: Language processing; Recent trends; AI defensive schemes; Principle components; Deduction and prevention models.

Product Details

ISBN-13:	9783031317231
Publisher:	Springer-Verlag New York, LLC
Publication date:	03/05/2025
Series:	Communications in Computer and Information Science , #1951
Sold by:	Barnes & Noble
Format:	eBook
File size:	41 MB
Note:	This product may take a few minutes to download.

Table of Contents

.- Machine Intelligence.

.- Deep Learning based Novel Approach for Mammogram Classification using Densenet-169.

.- Attribute Based Federated-Reinforcement Learning Approach for Drone Authorization.

.- Chronic Kidney Disease prediction and interpretation using Explainable AI.

.- Systematic review and analysis of Artificial intelligence based breast cancer classification and detection.

.- War of Tweets: Sentiment Analysis on Ukraine Russia Conflict.

.- Implementing HRRN for evaluating Cloud performance using Reinforcement Learning.

.- Using Machine Learning for Prediction of Obstructions for Indoor Location Systems.

.- Privacy Threats and Protection in Artificial Intelligence and Machine Learning.

.- Combining linguistic information with BERT for Span based End-to-End Aspect Based Sentiment Analysis.

.- A Dimensionality Reduction Model: A Retrospective Approach on Dementia Triggering Parameters and Feature Ranking.

.- Effective Identification of Lung Diseases using Few-Shot Learning.

.- Comparative Study on Classification based- Data Mining Techniques in Early Diabetes Prediction.

.- Optimize Machine Learning Model for Sentiment Analysis of Online Education during Covid-19 Pandemic.

.- Review on the Challenges and Future Directions of Deep Learning-based Techniques for Advance Prediction of Cardiac Attack.

.- Different Techniques For Detecting  Plant Leaf Disease Using Machine  Learning.

.- Proposed Framework of Extensive Humanoid Design Cycle and Recent Developments in Bipedal Walk.

.- Natural Language Processing for Waste Management Using Public Opinions in Smart Cities.

.- Prediction of Diabetes during Pregnancy through Fog Environment.

.- Empirical Wavelet Transform grounded poignant ground target recognition and classification by Seismic Signal Processing.

.- A Powered-Up Classification of Disabling Distributed Network Cloud-Based Attacks Using MLPNN-BP and MLPNN-LM.

.- Stroke Prediction Framework Based on Missing Value Information and Outlier Detection by Using Machine Learning Techniques in E-Healthcare.

.- An Artificial Bee Colony Improved Deep Neural Network Prototypical for Controlling Unprovoked Stroke Data in Iot Environment.

.- Magnetic Resonance Imaging Digitization for Brain Abnormality Recognition.

.- Comparative investigation of ELM and No-Prop processes for Clustering and Classification: An Empirical Study.

.- Application of Theory of Nonlinear Dynamics to Study Automated Detection of Epileptic EEG Signals.

.- Writer-autonomous Offline Autograph Detection founded upon Histogram of oriented gradients (HOGs) feature.

.- Analysis & evaluation for segmentation of cancer in multi-parametric.