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Record Nr. |
UNINA9910879596203321 |
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Autore |
Verma Anshul |
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Titolo |
Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part IV / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : 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 (400 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2093 |
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Altri autori (Persone) |
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VermaPradeepika |
PattanaikKiran Kumar |
DhurandherSanjay Kumar |
WoungangIsaac |
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Disciplina |
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Soggetti |
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Computer engineering |
Computer networks |
Software engineering |
Cryptography |
Data encryption (Computer science) |
Coding theory |
Information theory |
Computer Engineering and Networks |
Software Engineering |
Cryptology |
Computer Communication Networks |
Coding and Information Theory |
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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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-- Intelligent Computing. -- Neural Network Approach for Early detection of Sugarcane Diseases. -- Enhanced Residual Network Framework for Robust Classification of Noisy Lung Cancer CT Images. |
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-- Single-Cell Drug Perturbation Prediction Using Machine Learning. -- Underwater Image Enhancement using Convolutional Neural Network and the MultiUnet Model. -- A hybrid time series model for the spatio-temporal analysis of air pollution prediction based on PM2.5. -- Detection of Lung Diseases Using Deep Transfer Learning-Based Convolution Neural Networks. -- DG-GAN: A Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos. -- Auto-LVEF: A novel method to determine Ejection Fraction from 2D echocardiograms. -- Phishing Detection in Browser-In-The-Middle: A Novel Empirical Approach Incorporating Machine Learning Algorithms. -- Feature Engineering for Predicting Consumer Purchase Behavior: A Comprehensive Analysis. -- Enhanced Simulation of Collision Events Using Quantum GANs for Jet Images Generation. -- Class imbalance learning using Fuzzy SVM with Fuzzy Weighted Gaussian Kernel. -- Material Handling Cost (MHC) Minimization through Facility Layout Design (FLD) Using Genetic Algorithm (GA) combined with the Particle Swarm Optimization (PSO) Method. -- Detecting ADHD among children using EEG signals. -- Enhancing Skin Cancer Classification with Ensemble Models. -- Efficient real-time Sign Detection for Autonomous Vehical in Hazy environment using Deep Learning Models. -- Kannada Continuous Speech Recognition using Deep Learning. -- A new type of classification algorithm inspired by the chromatographic separation mechanism. -- Comparative Analysis of ELM and Sparse Bayesian ELM for Healthcare Diagnosis. -- Integration of Generative AI and Deep Tabular Data Learning Architecture for Heart Attack Prediction. -- Navigating the Domain Shift: Object Detection in Indian Road Datasets with Limited Data. -- An Efficient Hybrid Algorithm with Novel Inver-over Operator and Ant Colony Optimization for Traveling Salesman Problem. -- Sparsity Analysis of New Biased Pearson Similarity Measure for Memory Based Collaborative Filtering. -- Advancing Medical Predictive Models with Integrated Approaches. |
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Sommario/riassunto |
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The 4-volume proceedings set CCIS 2090, 2091,2092 and 2093 constitute the refereed post-conference proceedings of the Third International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2023, held in Varanasi, India, during December 20-22, 2023. The 87 full papers and 11 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sections on: Part I - Advanced Network Technologies. Part II - Advanced Network Technologies; Intelligent Computing. Part III - IV - Intelligent Computing. . |
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