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1. |
Record Nr. |
UNISA996394700603316 |
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Autore |
A. B |
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Titolo |
The Sabbath truly sanctified, or, Godly rules and directions for all sincere Christian professors, for the strict observation of the Lords Day before, at, and after the publike exercises of the church [[electronic resource] ] : With an order from the House of Commons, for the due observing the Sabbath-Day. As also, a cataloge of the fearfull judgements that have happenned to wilfull infringers, and profane and irreligious Sabbath-breakers. By A.B. Remember thou keep holy the Sabbath day |
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London, : [s.n.], Printed Ian. 31. in the yeer, MDCXLV. [1645] |
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Descrizione fisica |
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Soggetti |
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Sunday |
Sunday legislation - England |
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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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Note generali |
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Signatures: A⁴. |
Reproduction of the original in the British Library. |
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2. |
Record Nr. |
UNINA9911047805803321 |
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Autore |
Rai Jailab Kumar |
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Titolo |
Emerging Trends in Artificial Intelligence and Machine Learning : Select Proceedings of SPIN 2025, Volume 2 / / edited by J. K. Rai, Abhinav Valada, Ashwani Kumar Dubey, Ahmed Abdelgawad |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (679 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1450 |
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Disciplina |
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Soggetti |
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Machine learning |
Telecommunication |
Signal processing |
Machine Learning |
Communications Engineering, Networks |
Digital and Analog Signal Processing |
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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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Section 1: Foundations of AI and Machine Learning -- Analyzing the Performance of Classification Models and Sampling Techniques on Imbalanced Datasets -- TextPrep: Automating the Process of Text Data Pre-Processing by Leveraging Self-Supervised Learning -- Advancing Transfer Learning with GAP, Depth Constraints, and Average Depth Constraints for Diverse Datasets -- Knparaphraser: A Kannada Paraphrasing Model Based on Novel Data Augmentation Framework -- Section 2: AI for Health and Biomedical Research -- Accelerating DNA Sequence Alignment Using Optimized AI Techniques -- Drug Discovery for Mycobacterium Tuberculosis: A Synergistic Approach using QSAR and Machine Learning -- Analysis of Parkinson’s Disease Detection using Machine Learning Algorithms -- Designing a Malaria Detection Scheme Using Convolutional Neural Network (CNN) and TensorFlow-Based Deep Learning Model -- A Machine Learning Approach for Anomaly Detection in COVID-19 PCR Test Results Using Isolation Forests -- Optimizing ICU Patient Management through Predictive Analysis -- Exploring Deep Learning Approaches for Sleep Apnea |
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Sommario/riassunto |
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This volume comprises selected peer-reviewed proceedings of the 12th International Conference on Signal Processing and Integrated Networks (SPIN 2025). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry. |
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