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[null,"1.","Record Nr.",null,"UNINA9910986145603321"]
[null,null,"Autore",null,"Gupta Manish"]
[null,null,"Titolo",null,"Machine Intelligence and Smart Systems : Third International Conference, MISS 2023, Bhopal, India, January 24–25, 2023, Revised Selected Papers, Part I / / edited by Manish Gupta, Shikha Agrawal, Kamlesh Gupta, Jitendra Agrawal, Korhan Cengis"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9783031317231"]
[{"$nulls":4},"3031317238"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (510 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science, , 1865-0937 ; ; 1951"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- 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 "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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."]