Advanced Network Technologies and Intelligent Computing

Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III

AvAnshul Verma,Pradeepika Verma

Häftad, Engelska, 2024

Del 2092 i serien Communications in Computer and Information Science

868 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-07-26
Mått:155 x 235 x 23 mm
Vikt:633 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:398
Förlag:Springer International Publishing AG
ISBN:9783031640698

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- 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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