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Record Nr. |
UNINA9910879592203321 |
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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 III / / 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 (417 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2092 |
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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. -- Implementation and Performance Evaluation of Deep Learning Models for Disease Classification and Severity Estimation of Coffee Leaves. -- Flow-Optimized Channel- |
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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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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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