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1. |
Record Nr. |
UNINA990009925480403321 |
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Titolo |
Ancient Near Eastern texts : relating to the Old Testament / edited by James B. Pritchard |
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Pubbl/distr/stampa |
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Princeton (N.J.) : Princeton University Press, 1969 |
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Edizione |
[3. ed with supplement] |
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Descrizione fisica |
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Collocazione |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910896184903321 |
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Titolo |
Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 6 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (761 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1043 |
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Disciplina |
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Telecommunication |
Cooperating objects (Computer systems) |
Internet of things |
Artificial intelligence |
Communications Engineering, Networks |
Cyber-Physical Systems |
Internet of Things |
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 bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cybersecurity Threats and Countermeasures for IoT Devices -- Relationship between Website Atmospherics and Online Consumer Behavior -- MIMO and Chaotic Communication: Systematic Literature Review -- Crop-recommendation in Spatial Clusters Using Meta-heuristics and Machine Learning Techniques -- Black Gram Leaf Disease Detection Model using Combination of Hybrid-CNN Network and Transformer-Based Classification Model -- Multimodal Posture Monitoring and Eye Health Surveillance -- Efficient Feature Selection for IoT Security: A Comparative Analysis of Swarm Optimization Algorithms in Attack Detection -- Analysis of Feature Extraction Technique LBP and Classification Model SVM for CECT images -- ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children -- Enhancing Solutions by Implementing Nash Equilibrium Strategies Using Python -- Target Specific Stance Detection from Social Media with Multilayer Perceptron -- Web Based Application For Medicinal Plant Identification Using Transfer Learning Approach -- Navigating Challenges in India's Milk Industry: An In-Depth Review on Cattle Healthcare, Technology, and Market Dynamics. |
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Sommario/riassunto |
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This book includes high-quality research papers presented at the Seventh International Conference on Innovative Computing and Communication (ICICC 2024), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 16–17 February 2024. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and commun promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications. |
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3. |
Record Nr. |
UNINA9910557521503321 |
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Autore |
Millo Federico |
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Titolo |
Internal Combustion Engines Improving Performance, Fuel Economy and Emissions |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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Descrizione fisica |
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1 online resource (324 p.) |
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Soggetti |
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History of engineering and technology |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This Special Issue, consisting of 14 papers, presents the latest findings concerning both numerical and experimental investigations. Their aim is to achieve a reduction in pollutant emissions, as well as an improvement in fuel economy and performance, for internal combustion engines. This will provide readers with a comprehensive, unbiased, and scientifically sound overview of the most recent research and technological developments in this field. More specific topics include: 3D CFD detailed analysis of the fuel injection, combustion and exhaust aftertreatments processes, 1D and 0D, semi-empirical, neural network-based control-oriented models, experimental analysis and the optimization of both conventional and innovative combustion processes. |
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