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Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang.
Springer Nature - Springer Computer Science eBooks 2024 English International Available online
View online- Format:
- Book
- Author/Creator:
- Verma, Anshul.
- Series:
- Communications in Computer and Information Science, 1865-0937 ; 2092
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Computer Engineering and Networks.
- Software Engineering.
- Cryptology.
- Computer Communication Networks.
- Coding and Information Theory.
- Physical Description:
- 1 online resource (417 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-64070-5
- OCLC:
- 1451804543
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