Machine Intelligence and Smart Systems

Third International Conference, MISS 2023, Bhopal, India, January 24–25, 2023, Revised Selected Papers, Part I

AvManish Gupta,Shikha Agrawal

Häftad, Engelska, 2025

Del 1951 i serien Communications in Computer and Information Science

682 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-03-06
Mått:155 x 235 x 21 mm
Vikt:575 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:353
Förlag:Springer International Publishing AG
ISBN:9783031317224

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

.- 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.