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Autore: | Verma Anshul |
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 |
Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Edizione: | 1st ed. 2024. |
Descrizione fisica: | 1 online resource (400 pages) |
Disciplina: | 621.39 |
004.6 | |
Soggetto topico: | 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 | |
Altri autori: | VermaPradeepika PattanaikKiran Kumar DhurandherSanjay Kumar WoungangIsaac |
Nota di contenuto: | -- Intelligent Computing. -- Neural Network Approach for Early detection of Sugarcane Diseases. -- Enhanced Residual Network Framework for Robust Classification of Noisy Lung Cancer CT Images. -- 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. |
Sommario/riassunto: | 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. . |
Titolo autorizzato: | Advanced Network Technologies and Intelligent Computing |
ISBN: | 3-031-64067-5 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910879596203321 |
Lo trovi qui: | Univ. Federico II |
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