001461833 000__ 07600cam\a22006977i\4500
001461833 001__ 1461833
001461833 003__ OCoLC
001461833 005__ 20230503003413.0
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001461833 019__ $$a1373932004$$a1373987668
001461833 020__ $$a9783031281839$$qelectronic book
001461833 020__ $$a3031281837$$qelectronic book
001461833 020__ $$z9783031281822
001461833 020__ $$z3031281829
001461833 0247_ $$a10.1007/978-3-031-28183-9$$2doi
001461833 035__ $$aSP(OCoLC)1374214578
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001461833 049__ $$aISEA
001461833 050_4 $$aTK5105.5$$b.A58 2022
001461833 08204 $$a004.6$$223/eng/20230329
001461833 1112_ $$aANTIC (Conference)$$n(2nd :$$d2022 :$$cVaranasi, India ; Online)
001461833 24510 $$aAdvanced network technologies and intelligent computing :$$bsecond International Conference, ANTIC 2022, Varanasi, India, December 22-24, 2022, Proceedings.$$nPart II /$$cIsaac Woungang, Sanjay Kumar Dhurandher, Kiran Kumar Pattanaik, Anshul Verma, Pradeepika Verma, editors.
001461833 2463_ $$aANTIC 2022
001461833 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2023]
001461833 300__ $$a1 online resource (xxvi, 670 pages) :$$billustrations (some color).
001461833 336__ $$atext$$btxt$$2rdacontent
001461833 337__ $$acomputer$$bc$$2rdamedia
001461833 338__ $$aonline resource$$bcr$$2rdacarrier
001461833 4901_ $$aCommunications in computer and information science,$$x1865-0937 ;$$v1798
001461833 504__ $$aIncludes bibliographical references and index.
001461833 5050_ $$aIntelligent Computing -- ADASEML: Hospitalization Period Prediction of COVID-19 Patients Using ADASYN and Stacking Based Ensemble Learning -- A Novel Weighted Visibility Graph Approach for Alcoholism Detection through the Analysis of EEG Signals -- A Dehusked Areca nut classification algorithm based on 10-fold cross-validation of Convolutional Neural Network -- CUSTOMER SEGMENTATION BASED ON RFM ANALYSIS AND UNSUPERVISED MACHINE LEARNING TECHNIQUE -- Manifold D-CNN Architecture for Contrastive Disease Classification Based on Respiratory Sounds -- A Pipelined Framework for the Prediction of Cardiac Disease with Dimensionality Reduction -- Prediction of Air Quality Index of Delhi using Higher Order Regression Modelling -- Deep learning for the classification of cassava leaf diseases in unbalanced field data set -- IMAGE CLASSIFICATION WITH INFORMATION EXTRACTION BY EVALUATING THE TEXT PATTERNS IN BILINGUAL DOCUMENTS -- Probabilistic Forecasting of the Winning IPL Team using Supervised Machine Learning -- Diversified licence plate character recognition using fuzzy image enhancement and LPRNet : an experimental approach -- High Blood Pressure Classification using Meta-Heuristic based Data-Centric Hybrid Machine Learning Model -- Implementing Machine Vision Process to Analyze Echocardiography for Heart Health Monitoring -- Social Media Bot Detection Using Machine Learning Approach -- Detection of Homophobia & Transphobia in Malayalam and Tamil: Exploring Deep Learning Methods -- Coffee Leaf Disease Detection using Transfer Learning -- Airline price prediction using XGBoost hyper-parameter tuning -- Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers -- Structure for the implementation and control of Robotic Process Automation projects -- Shrinkable Cryptographic Technique using Involutory Function for Image Encryption -- Implementation of Deep Learning models for real-time Face Mask Detection System using Raspberry Pi -- Depression Detection on Twitter using RNN and LSTM models -- Performance Assessment of Machine Learning Techniques for Corn Yield Prediction -- DETECTION OF BIRD AND FROG SPECIES FROM AUDIO DATASET USING DEEP LEARNING -- Lifestyle Disease Influencing Attribute Prediction using Novel Majority Voting Feature Selection -- Sample size estimation for effective modelling of classification problems in machine learning -- A Generative Model based Chatbot using Recurrent Neural Networks -- Pixel Attention Based Deep Neural Network for Chest CT Image Super Resolution -- Evaluation of Various Machine Learning based Existing Stress Prediction Support Systems (SPSSs) for COVID-19 Pandemic -- Machine Learning Approaches for the Detection of Schizophrenia using Structural MRI -- A Hybrid Model for Fake News Detection Using Clickbait: An Incremental Approach -- Building a Multi-class Prediction App for Malicious URLs -- Comparative Performance of Maximum Likelihood and Minimum Distance Classifiers on Land Use and Land Cover Analysis of Varanasi District (India) -- Recent Trends and Open Challenges in Blind Quantum Computation -- Driving Style Prediction using Clustering Algorithms -- Analyzing Fine-tune Pre-trained Models for Detecting Cucumber Plant Growth -- A Prediction Model with Multi-Pattern Missing Data Imputation for Medical Dataset -- Impact Analysis of Hello Flood attack on RPL -- Classification of Quora insincere questionnaire using soft computing paradigm -- Conventional Feature Engineering and Deep Learning approaches to Facial Expression Recognition: A Brief Overview -- Forecasting of rainfall using neural network and traditional almanac model -- Retinal Blood Vessel Segmentation Based On Modified CNN and Analyze the Perceptional Quality of Segmented Images -- Heuristics for K-Independent Total Traveling Salesperson Problem -- A Comparative Study and Analysis of Time Series Forecasting Techniques for Indian Summer Monsoon Rainfall (ISMR) -- YOLOv4 Vs YOLOv5: Object Detection on Surveillance Videos. .
001461833 506__ $$aAccess limited to authorized users.
001461833 520__ $$aThis book constitutes the refereed proceedings of the Second International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2022, held in Varanasi, India, during December 22-24, 2022. The 68 full papers and 11 short papers included in this book were carefully reviewed and selected from 443 submissions. They were organized in two topical sections as follows: Advanced Network Technologies and Intelligent Computing.
001461833 588__ $$aDescription based on online resource; title from digital title page (viewed on April 26, 2023).
001461833 650_0 $$aComputer networks$$vCongresses.
001461833 650_0 $$aArtificial intelligence$$vCongresses.
001461833 655_0 $$aElectronic books.
001461833 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001461833 7001_ $$aWoungang, Isaac,$$eeditor.
001461833 7001_ $$aDhurandher, Sanjay Kumar,$$eeditor.
001461833 7001_ $$aPattanaik, Kiran Kumar,$$eeditor.
001461833 7001_ $$aVerma, Anshul$$c(Computer scientist),$$eeditor.
001461833 7001_ $$aVerma, Pradeepika,$$eeditor.
001461833 77608 $$iPrint version:$$aWoungang, Isaac$$tAdvanced Network Technologies and Intelligent Computing$$dCham : Springer,c2023$$z9783031281822
001461833 830_0 $$aCommunications in computer and information science ;$$v1798.$$x1865-0937
001461833 852__ $$bebk
001461833 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28183-9$$zOnline Access$$91397441.1
001461833 909CO $$ooai:library.usi.edu:1461833$$pGLOBAL_SET
001461833 980__ $$aBIB
001461833 980__ $$aEBOOK
001461833 982__ $$aEbook
001461833 983__ $$aOnline
001461833 994__ $$a92$$bISE