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Advanced Network Technologies and Intelligent Computing: Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III de Anshul Verma

Advanced Network Technologies and Intelligent Computing: Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III: Communications in Computer and Information Science, cartea 2092

Editat de Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang
en Limba Engleză Paperback – 2 sep 2024
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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Specificații

ISBN-13: 9783031640698
ISBN-10: 3031640691
Pagini: 398
Ilustrații: XX, 419 p.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

.- Intelligent Computing.
.- Implementation and Performance Evaluation of Deep Learning Models for Disease Classification and Severity Estimation of Coffee Leaves.
.- Flow-Optimized Channel-Attentive Excitation DenseNet Algorithm for Multi-Disease Classification and Severity Estimation.
.- Image Captioning using Deep Learning.
.- Visualizing Optimal Classifiers in EEG-Based Sleepy Driver Prediction.
.- Revolutionizing Glaucoma Diagnosis with a Hybrid AI Algorithm.
.- Unravelling Crop Yield Secrets Through Identification of Significant Factors Using Machine Learning.
.- Comparative Analysis of Short-Term Load Forecasting Using K-Nearest Neighbor, Random Forest, and Gradient Boost Models.
.- Heuristics for Influence Maximization with Tiered Influence and Activation thresholds.
.- Sentiment Analysis and Offensive Language Identification In Code-Mixed Tamil-English Languages Using Transformer-based Models.
.- Performance evaluation of Deep Transfer Learning and Semantic Segmentation models for crop and weed detection in the Sesame Production System.
.- Machine Learning Analysis on Hate Speech against Asians.
.- Deep Transfer Learning for Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approach.
.- Sustainable Natural Gas Price Forecasting with DEEPAR.
.- Whale Optimized Deep Learning Technique for Accurate Skin Cancer Identification.
.- Multi-Domain Feature Extraction Methods for Classification of Human Emotions from Electroencephalography (EEG) Signals.
.- Enhancing Speech Quality using Spectral Subtraction and Time-Frequency Filtering.
.- Analyzing the performance of BERT for the sentiment classification task in Bengali text.
.- Student’s Performance Prediction using Decision Tree Regressor.
.- A Comprehensive Analysis on Features and Performance Evaluation Metrics in Audio-Visual Voice Conversion.
.- Time Series Analytic Models for Forecasting Vehicular Registration Volume in the Indian Context.
.- Impact of Clinical Features on Disease Diagnosis using Knowledge Graph Embedding and Machine Learning: a Detailed Analysis.
.- Advancements in Alzheimer's Disease Diagnosis: The MRI-CNN Synergy for Early Detection.
.- Drinking Addiction Predictive Model Using Body  Characteristics Machine Learning Approach.
.- An Ensemble of Machine Learning Models Utilizing Deep Convolutional Features for Medical Image Classification.

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