東華大學圖書館 |

Advanced network technologies and intelligent computing = third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023 : proceedings.. Part III /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced network technologies and intelligent computing/ edited by Anshul Verma ...[et al.].
其他題名:	third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023 : proceedings.
其他作者:	Verma, Anshul.
團體作者:	ANTIC (Conference)
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xxi, 398 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Computer networks - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-64070-4
ISBN:	9783031640704

Advanced network technologies and intelligent computing = third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023 : proceedings.. Part III /
Advanced network technologies and intelligent computingthird International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023 : proceedings.Part III /[electronic resource] :edited by Anshul Verma ...[et al.]. - Cham :Springer Nature Switzerland :2024. - xxi, 398 p. :ill., digital ;24 cm. - Communications in computer and information science,20921865-0937 ;. - Communications in computer and information science ;2092..

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.

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.

ISBN: 9783031640704

Standard No.: 10.1007/978-3-031-64070-4doiSubjects--Topical Terms:

569849
Computer networks
--Congresses.

LC Class. No.: TK5105.5 / .A58 2023

Dewey Class. No.: 004.6

Advanced network technologies and intelligent computing = third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023 : proceedings.. Part III /
LDR:04187nmm a22003495a 4500 001 2387912
003 DE-He213
005 20240808130231.0
006 m d
007 cr nn 008maaau
008 250916s2024 sz s 0 eng d
020 $a 9783031640704 $q (electronic bk.)
020 $a 9783031640698 $q (paper)
024 7 $a 10.1007/978-3-031-64070-4 $2 doi
035 $a 978-3-031-64070-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.5 $b .A58 2023
072 7 $a UK $2 bicssc
072 7 $a COM067000 $2 bisacsh
072 7 $a UK $2 thema
082 0 4 $a 004.6 $2 23
090 $a TK5105.5 $b .A629 2023
111 2 $a ANTIC (Conference) $n (3rd : $d 2023 : $c Varanasi, India ; Online) $3 3752647
245 1 0 $a Advanced network technologies and intelligent computing $h [electronic resource] : $b third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023 : proceedings. $n Part III / $c edited by Anshul Verma ...[et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xxi, 398 p. : $b ill., digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2092
505 0 $a 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.
520 $a 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.
650 0 $a Computer networks $v Congresses. $3 569849
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 1 4 $a Computer Engineering and Networks. $3 3538504
650 2 4 $a Software Engineering. $3 890874
650 2 4 $a Cryptology. $3 3382308
650 2 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Coding and Information Theory. $3 891252
700 1 $a Verma, Anshul. $3 3752648
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 2092. $3 3752651
856 4 0 $u https://doi.org/10.1007/978-3-031-64070-4
950 $a Computer Science (SpringerNature-11645)