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1. |
Record Nr. |
UNINA9910709783503321 |
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Autore |
Goodwin Thomas J. |
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Titolo |
Physiological and molecular genetic effects of time-varying electromagnetic fields on human neuronal cells / / Thomas J. Goodwin |
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Pubbl/distr/stampa |
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Houston, Texas : , : National Aeronautics and Space Administration, Johnson Space Center, , September 2003 |
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Descrizione fisica |
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1 online resource (iv, 29 pages) : illustrations |
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Collana |
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Soggetti |
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Electromagnetic fields |
Physiological effects |
Mammals |
Genes |
Lactates |
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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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Nota di bibliografia |
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Includes bibliographical references (pages 28-29). |
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2. |
Record Nr. |
UNINA9910139243103321 |
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Autore |
Geru Ion |
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Titolo |
Resonance Effects of Excitons and Electrons : Basics and Applications / / by Ion Geru, Dieter Suter |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (XVII, 283 p. 36 illus., 14 illus. in color.) |
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Collana |
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Lecture Notes in Physics, , 0075-8450 ; ; 869 |
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Disciplina |
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Soggetti |
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Solid state physics |
Optical materials |
Electronics - Materials |
Spectrum analysis |
Microscopy |
Lasers |
Photonics |
Semiconductors |
Materials science |
Solid State Physics |
Optical and Electronic Materials |
Spectroscopy and Microscopy |
Optics, Lasers, Photonics, Optical Devices |
Characterization and Evaluation of Materials |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references (pages 259-276) and index. |
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Nota di contenuto |
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Excitons and Biexcitons in Semiconductors -- Paramagnetic and Paraelectric Resonances of Excitons -- Exciton Acoustical Resonance -- Double Resonances -- Investigations of Excitons by Means of NMR Spectroscopy -- Interaction of Excitons with Paramagnetic Centers -- Effects of Deep Saturation. |
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Sommario/riassunto |
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This book presents the various types of resonance effects on excitons, biexcitons and the local electronic centers (LEC) in solids, such as paramagnetic and paraelectric resonances on excitons, exciton acoustic |
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resonance at intra- and interband transitions, radio-optical double resonance on excitons, hole-nuclear double resonance on localized biexcitons, ENDOR and acoustic ENDOR on LEC. The criteria for the generation of coherent photons, phonons and magnons by excitons are explained. The interactions of excitons and biexcitons with paramagnetic centers and nuclear spins, the indirect interaction between the PC through a field of excitons as well as the quasienergy spectrum of excitons and spin systems are discussed. It is proved that the interaction of paramagnetic centers with excitons increases the spin relaxation rate of paramagnetic centers in comparison with the case of their interaction with free carriers. The giant magneto-optical effects in semi-magnetic semiconductors are theoretically interpreted. In recent years, a new perspective has been added to these systems and their interactions: they can be used for storing and processing information in the form of quantum bits (qubits), the building blocks of quantum computers. The basics of this emerging technology are explained and examples of demonstration-type quantum computers based on localized spins in solids are discussed. |
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3. |
Record Nr. |
UNINA9910983033503321 |
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Autore |
Panda Sanjaya Kumar |
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Titolo |
Computing, Communication and Learning : Third International Conference, CoCoLe 2024, Warangal, India, September 13–15, 2024, Revised Selected Papers / / edited by Sanjaya Kumar Panda, Rajkumar Buyya, Rashmi Ranjan Rout, Manjubala Bisi, Sangharatna Godboley, Kuan-Ching Li, Ashish Ghosh |
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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 (576 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2317 |
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Altri autori (Persone) |
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BuyyaRajkumar |
RoutRashmi Ranjan |
BisiManjubala |
GodboleySangharatna |
LiKuan-Ching |
GhoshAshish |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer engineering |
Computer networks |
Application software |
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Computers |
Artificial Intelligence |
Computer Engineering and Networks |
Computer and Information Systems Applications |
Computing Milieux |
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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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-- Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains. -- Crude Oil Price Forecasting using Hybridization of Optimized Deep Learning and Shallow Machine Learning Models. -- Adam Lyrebird Optimization-based DLSTM for Solar Irradiance Prediction using Time Series Data. -- Code Smell Detection using Deep Learning Models to Enhance the Software Quality. -- Unveiling the Future of Agriculture: Transformative Impact of Advanced Deep Learning with Mobile App Technology for Plant Leaf Disease Detection. -- Air Quality Prediction using Ensemble Learning. -- Real-Time Highway Accident Detection and Response with Deep Learning and Edge Caching. -- Detection of Yoga Poses Using CNN and LSTM Models. -- Enhancing Rhetorical Role Identification in Legal Documents using Large Language Models and IN_place Data Augmentation. -- Persona-Driven Dialog Generation: Enhancing User Engagement Through Linguistic Proficiency and Personalization. -- Design and Development of a Working Tool for Visual Speech and Speaker Recognition for Marathi and Gujarati Languages. -- Analysis of Tracking Algorithms for Multi-Person Tracking. -- Personalized Human Activity Recognition Using Smartphone Technology. -- Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing. -- A Comprehensive Comparative Study of Breast Cancer Detection Using Machine Learning Techniques to Improve Diagnosis. -- Performance Improvement of Machine Learning Algorithms Through Information-Theoretic Class Based Feature Multicorrelation Enabled Feature Selection for Cervical Cancer Prediction. -- Towards Robust Skin Cancer Diagnosis: Deep Fusion of VGG16 and MobileNet Features. -- Deep Transfer Model Based Accurate Brain Tumor Classification in Magnetic Resonance Images. -- Pneumonia Detection from X-ray Images using Deep Transfer Learning. -- Crop Identification by using Machine Learning Classification Algorithm. -- Biotic Stress Classification of Pear Leaves Diseases using Stacking Ensemble Approaches. -- Unveiling Emotions from Audio: A Multi-Model Exploration Leveraging Diverse Datasets. -- A Contrastive Meta-Learning Approach with Isotropic Sparse Decomposition for Scalable Audio-Visual Learning. -- Audio-Based Video Segmentation for Long Duration Videos using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics. -- Video Content Moderation in Instagram. -- An Effective Deep Learning Model for Air-Scripted Alphabet Recognition System. -- Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing. -- Privacy-Preservation for Federated Learning: Survey and |
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Future Directions. -- Decentralized Health: Federated Deep Learning for Cervical Cytology Image Segmentation. -- Malicious URL Detection using Artificial Intelligence Techniques. -- Deep Forest-based Intrusion Detection System for Edge Intelligence Assisted Smart Homes. -- Statistical Modeling of Temperature Prediction Using Residual Network. -- Investigating Salient Object Detection Methods Tailored for Edge Computing Infrastructure. -- A Novel and Scalable Framework for Analyzing Building Energy Efficiency. -- Assessment on Significant SVM and MLP-Based Optimized Resource Allocation for Load Balancing. -- An Improved and More Effective FSPC-Based Cloud Consumer Legality Process for Protected Data. -- A Review on QoS Aware Approaches in Edge-Fog Computing Environment. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the Third International Conference on Computing, Communication and Learning, CoCoLe 2024, held in Warangal, India, in September 2024. The 24 full papers and 10 short papers presented here were carefully reviewed and selected from 149 submissions. These papers have been categorized under the following topical sections: Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains; Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing; Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing. |
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