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| Autore: |
Gupta Manish
|
| 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
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (510 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Artificial intelligence |
| Artificial Intelligence | |
| Altri autori: |
AgrawalShikha
GuptaKamlesh
AgrawalJitendra
CengisKorhan
|
| Nota di contenuto: | -- 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. |
| 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. |
| Titolo autorizzato: | Machine Intelligence and Smart Systems ![]() |
| ISBN: | 9783031317231 |
| 3031317238 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910986145603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |