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Record Nr. |
UNINA9910986145603321 |
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Autore |
Gupta Manish |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (510 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1951 |
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Altri autori (Persone) |
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AgrawalShikha |
GuptaKamlesh |
AgrawalJitendra |
CengisKorhan |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- 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 |
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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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Sommario/riassunto |
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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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