Machine Intelligence and Smart Systems (eBook, PDF)

Third International Conference, MISS 2023, Bhopal, India, January 24-25, 2023, Revised Selected Papers, Part I
Redaktion: Gupta, Manish; Cengis, Korhan; Agrawal, Jitendra; Gupta, Kamlesh; Agrawal, Shikha

• Format: PDF

Produktbeschreibung

¿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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 353
• Erscheinungstermin: 5. März 2025
• Englisch
• ISBN-13: 9783031317231
• Artikelnr.: 73550994

Inhaltsangabe

.- 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.