Machine Intelligence and Smart Systems: Third International Conference, MISS 2023, Bhopal, India, January 24–25, 2023, Revised Selected Papers, Part I(1951 Communications in Computer and Information Science)

​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.

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.