A heauenly voyce [[electronic resource] ] : A sermon tending to call the people of God from among the Romish Babylonians: preached at Paules Crosse the 12 of Ianuarie. 1606. By William Symonds

• Record Nr.: UNISA996392602903316
• Autore: Symonds William <1556-1616?>
• Pubbl/distr/stampa: At London, : Printed by I[ames] R[oberts] for Edmund VVeauer, and are to be solde at his shoppe, at the great north-doore of Paules Church, 1606
• Descrizione fisica: [36] p
• Soggetti: Sermons, English - 17th century
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Printer's name from STC.; Signatures: A² B-E⁴.; The last leaf is blank.; Identified as STC 23591a on UMI microfilm.; Reproduction of the original in the Union Theological Seminary (New York, N.Y.). Library.; Leaf C2 stained; some print show-through.
• Sommario/riassunto: eebo-0160

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

• Record Nr.: UNINA9910986145603321
• Autore: Gupta Manish
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• ISBN: 9783031317231; 3031317238
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (510 pages)
• Collana: Communications in Computer and Information Science, , 1865-0937 ; ; 1951
• Altri autori (Persone): AgrawalShikha; GuptaKamlesh; AgrawalJitendra; CengisKorhan
• Disciplina: 006.3
• Soggetti: Artificial intelligence; Artificial Intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• 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.