001469476 000__ 07627cam\\2200697\i\4500 001469476 001__ 1469476 001469476 003__ OCoLC 001469476 005__ 20230803003332.0 001469476 006__ m\\\\\o\\d\\\\\\\\ 001469476 007__ cr\un\nnnunnun 001469476 008__ 230609s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001469476 019__ $$a1381709089 001469476 020__ $$a9783031151750$$q(electronic bk.) 001469476 020__ $$a3031151755$$q(electronic bk.) 001469476 020__ $$z3031151747 001469476 020__ $$z9783031151743 001469476 0247_ $$a10.1007/978-3-031-15175-0$$2doi 001469476 035__ $$aSP(OCoLC)1381442788 001469476 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP 001469476 049__ $$aISEA 001469476 050_4 $$aQ325.5 001469476 08204 $$a006.3/1$$223/eng/20230619 001469476 1112_ $$aInternational Conference on Machine Learning and Big Data Analytics$$n(2nd :$$d2022 :$$cIndian Institute of Technology, Patna, India). 001469476 24510 $$aMachine learning and big data analytics :$$b2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 /$$cRajiv Misra [and five others], editors. 001469476 24630 $$aICMLBDA 001469476 264_1 $$aCham :$$bSpringer,$$c[2023] 001469476 264_4 $$c©2023 001469476 300__ $$a1 online resource (x, 566 pages) :$$billustrations (chiefly color). 001469476 336__ $$atext$$btxt$$2rdacontent 001469476 337__ $$acomputer$$bc$$2rdamedia 001469476 338__ $$aonline resource$$bcr$$2rdacarrier 001469476 4901_ $$aSpringer proceedings in mathematics & statistics ;$$vvolume 401 001469476 500__ $$aConference proceedings. 001469476 500__ $$aIncludes index. 001469476 5050_ $$aPreface -- A Comprehensive analysis on Mobile Edge Computing: joint offloading and resource allocation perspective -- Finding Significant Project Issues with Machine Learning -- Prediction of Heart Disease using various Data Analysis and Machine learning Techniques -- Artificial Intelligence: Recent Trends, Opportunities and Challenges in Real-World Scenarios -- Bilingual documents text line extraction using Conditional GANs -- Performance Comparison of YOLO Variants for Object Detection in Drone Based Imagery -- A Microservice Architecture with Load Balancing Mechanism in Cloud Environment -- An IoT Application for Detection and Monitoring of Manhole -- Resource Allocation in 5G & Beyond Edge-Slice Networking using Deep Reinforcement Learning -- The Important Influencing Factors in Machine Translation -- Damaged units return Investigation in Printer producing Industry utilizing Big Data -- Colorization of Grayscale Images: An Overview -- Evolutionary Approaches Towards Traditional to Deep Learning Based Chatbot -- Analysis of Machine Learning Algorithms for Detection of Cyber Bullying on Social Networks -- Sentiment Analysis of Political Tweets for Israel using Machine Learning -- A Novel Approach for Real-time Vehicle Re-identification using Content-based Image Retrieval with Relevance Feedback -- Extractive and Abstractive Text Summarization Model fine-tuned based on BERTSUM and Bio-BERT on COVID-19 Open Research Articles -- RevCode for NLP in Indian Languages -- Application for Mood Detection of Students Using TensorFlow and Electron JS -- By Using CNN Technique and Webcam to Identify Face Mask Violation -- A Review on Internet of Things based Cloud Architecture and Its Application -- Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods -- HRescue: A Modern ML approach for Employee Attrition Prediction -- Using Machine Learning to Detect Botnets in Network Traffic -- Reducing Peak Electricity Demands of a Cluster of Buildings with Multi-agent Reinforcement Learning -- Virus Texture Classification using Genetic Algorithm and Pre-trained Convolutional Neural Networks -- Fog Computing enabled Internet of Things for resource optimization -- Network Media Content Model in the era of Smaft Devices -- Sentimental Analysis of Stock Market via Twitter -- Detection and Classification of Tumor Tissues in Colorectal Cancer using Pathology Images -- Challenges encountered in the implementation of machine learning in the healthcare industry -- Performance Evaluation of Deep Learning Architectures for Recognition of Moisture in Dried Coconut Copra -- Training Generative Adversarial Networks(GANs) over Parameter Server and Worker Node Architecture -- Handwritten Digit Recognition using Neural Network with Gabor Filter for Information Fusion -- FAFOC: Fog Based Energy Efficient Clustering Technique for Wireless Sensor Networks -- Evaluation of Supervised Classifiers for Fake News Detection using Twitter Dataset -- Analysis of Pest Recognition using Lightweight CNN -- Early Prediction of Alzheimer Disease Using Ensemble Learning Models -- Cattle Identification from Muzzle Print Image Pattern Using Hybrid Feature Descriptors and SVM -- Evaluate and Detection of Breast Cancer using Data Mining Models -- Lung Cancer Disease Prediction Using Machine Learning Techniques -- Video to Text Generation Using Sentence Vector and Skip Connections -- Machine Learning Techniques for COVID-19 pandemic updates for Analysis, Visualization and Prediction system -- Design and CFD Analysis of Drone Thrust with Duct -- Index. 001469476 506__ $$aAccess limited to authorized users. 001469476 520__ $$aThis edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers. 001469476 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 19, 2023). 001469476 650_0 $$aMachine learning$$vCongresses. 001469476 650_0 $$aBig data$$vCongresses. 001469476 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001469476 655_7 $$aConference papers and proceedings.$$2lcgft 001469476 655_0 $$aElectronic books. 001469476 7001_ $$aMisra, Rajiv,$$eeditor. 001469476 7102_ $$aIndian Institute of Technology (Patna, India),$$ehost institution. 001469476 77608 $$iPrint version: $$z3031151747$$z9783031151743$$w(OCoLC)1336535925 001469476 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vv.401. 001469476 852__ $$bebk 001469476 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15175-0$$zOnline Access$$91397441.1 001469476 909CO $$ooai:library.usi.edu:1469476$$pGLOBAL_SET 001469476 980__ $$aBIB 001469476 980__ $$aEBOOK 001469476 982__ $$aEbook 001469476 983__ $$aOnline 001469476 994__ $$a92$$bISE