Machine Intelligence and Smart Systems: Third International Conference, MISS 2023, Bhopal, India, January 2425, 2023, Revised Selected Papers, Part I 2024 ed. [Minkštas viršelis]

.- 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.