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

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 selec...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Gupta, Manish (Editor), Agrawal, Shikha (Editor), Gupta, Kamlesh (Editor), Agrawal, Jitendra (Editor), Cengis, Korhan (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Communications in Computer and Information Science, 1951
Témata:
Artificial intelligence.
Artificial Intelligence.
On-line přístup:https://doi.org/10.1007/978-3-031-31723-1
Tagy: Přidat tag
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Obsah:
  • -- 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.

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