Rising Threats in Expert Applications and Solutions: Proceedings of FICR-TEAS 2022 (Lecture Notes in Networks and Systems, 434)

ISBN 10: 9811911215 / ISBN 13: 9789811911217

Edité par Springer, 2022

In. N° de réf. du vendeur ria9789811911217_new

Synopsis :

A Novel Approach for Detecting Online Malware Detection Using Performance Metrics Using LSTMRNN and BRNN Based Recurrent Neural Network in Cloud Environment.- Analytical Study of Augmented Reality Simulation System Application on Paintings.- A New Model SATV for Sentiment Analysis of Hinglish Sentences.- Characterization of Molecular Dynamic Trajectory using K-means clustering.- Data Warehouse Modernization using Document-Oriented ETL Framework for Real Time Analytics.- Opinion Mining for Breast Cancer Disease Using Apriori and K-Modes Clustering Algorithm.- Deep learning approach based on ADASYN for detection of Web attacks in the CICIDS2017 dataset.- FUNDUS and OCT Image Classification using Deep Learning Techniques.- A Secure Framework for the Deployment of Microservices using Cloud Container Technology.- Time Series Analytics - A fuel to Data Science in forecasting Analytics for time stamped data.- Sparse Autoencoder and Deep learning based Framework for Multi-label Classification of Chronic Diseases.- A Comparative study of different machine learning based feature extraction techniques in bacterial image classification.- Cloud removal and satellite image reconstruction using Deep Learning based Image inpainting approaches.- A Novel Cipher Technique using Substitution and Transposition Methods.- Edge Computing: State of Art with Current challenges and future opportunities.- Deep Learning and Machine Learning Approaches for the Classification of Personality Traits: Review.- Two Level Priority Task Scheduling Algorithm For Real Time IoT Based Storage Condition Assessment System.- Intrusion Detection of Internet of Things Botnet Attacks using Data Mining Technique.- Code Tamper-proofing using Return Oriented Programming in IoT Devices.- Conversion of Punjabi Sign Language using Animation.- Deep Learning based Classification of Microscopic Fungal Images.- Application of Artificial Neural Network and Multiple Linear Regression in Predicting Consumer Attitude towards Use of Mobile Wallet.- Securing Unauthorized Access to Cloud Data Storage.- A Survey on Water Usage Optimization using Artificial Intelligence in Agricultural Sector.- The Role of Artificial Neural Network in Word Sense Disambiguation (WSD) - A Survey.- Covid-19 Challenges for digital education and critical analysis.- Cloud Computing: Concepts and Techniques with Service Provider Analysis.- Analyzing Frequency Rhythms in Posed and Spontaneous Emotions Using Time- Intensity of EEG Signals.- Improving Classification Performance Using The Semi-Pivoted QR approximation algorithm.- Comparative Study on Video Based Face Recognition Methods.- An Innovative Framework based Algorithmic Approach for Object Detection.- Smart Bus Concept of COVID-19 Prevention using Face-Bio Keys.- Data Integration Solutions - A Key to the Cloud Migration.- A Proposed Structure, primarily based totally on Cloud Computing for Enhancing Electronic Commerce Applications.- Deep Learning and Internet of Things (IoT) Based Irrigation System for Cultivation of Paddy Crop.- Review of Machine Learning Techniques for Analysis of Medical Data Sets.- Incorporating contextual information in prediction based word embedding models.- Distributed Cloud Data Center for Efficient Services in Logistics Management.- Plants Disease Detection using Image Processing using Tensor flow: A boon to agriculture.- Data Visualisation using Self-Organising Maps.- SQL Injection Attacks, Detection Techniques on Web Application Databases.- Deep Learning Based Brain Tumor Segmentation: Recent Updates.- Mobile Application for Smart Agriculture in India: "An Analytical Approach".- Offline handwritten character recognition of Gujarati characters using convolutional neural network.- Forecasting Solar Energy on Time Frame: A Review.- Framework for Faster Index Search.- Image Classification by Optimized Convolution Neural Networks.- Benefits of Mining Fashion Data.- Current state of Engineering Education in India: Student Teacher scena

À propos de l?auteur:

Prof. (Dr.) Vijay Singh Rathore obtained Ph.D. (Computer Science), MCA, M.Tech. (CS), MBA, ICAD-USA, ICDA-USA, and Diplomas in French & German. Presently, he is working as Professor of CS, Director - International at IIS (Deemed to be University), Jaipur (India), Secretary, ACM Jaipur Chapter, and Past Chairman, CSI Jaipur Chapter. He is having teaching experience of 20+ years, 3 patents published, Ph.D. supervised (awarded: 18, under supervision: 09), published 94 research papers, and 10 books, associated as Editor and Reviewer in some reputed journals, and received 20+ national and international awards of repute. His core research areas include Internet Security, Cloud Computing, Big Data, and IoT. He has organized and participated 25+ national and international conferences of repute. His foreign visits for various academic activities (Delegate/Invited/Keynote Speaker/Session Chair/Guest) include USA, UK, Canada, France, Netherlands, Singapore, Thailand, Vietnam, Nepal, etc. He had been Member of Indian Higher Education Delegation and visited 20+ leading universities at Canada (May, 2019), UK (July, 2017), and USA (Aug, 2018) supported by AICTE and GR foundation. Other delegation visits include University of Amsterdam (2016), Nanyang Technological University, Singapore (2018), University of Lincoln, QMUL, Brunel University, Oxford Brookes University (2020) for discussions on academic and research collaborations. He is an active academician and always welcoming and forming innovative ideas in the various dimensions of education and research for the better development of the society.

Prof. Subhash Chander Sharma (https: //www.iitr.ac.in/ DPT/scs60fpt) received M.Sc. (Electronics, IITR), M. Tech. (Electronics & Communication Engg., IITR), and Ph.D. (Electronics & Computer Engg., IITR) in 1981, 1983, and 1992, respectively, from IIT Roorkee (erstwhile University of Roorkee). He started his career as R & D Engineer in 1983 and then joined the teaching profession in January 1984 at IIT Roorkee and continuing till date. He has more than 35 years of teaching and research experience at IIT Roorkee. He has published over three hundred fifty research papers in national and international journals (152)/conferences (150) and supervised more than 30 projects/dissertations of PG students. He has supervised 20 Ph.D. in the area of computer networking, wireless network, computer communication, cloud & its security, mobile computing and continuing supervising Ph.D. in the same area. He has successfully completed several major research projects funded by various government agencies like AICTE, CSIR, UGC, MHRD, DST, DRDO, and many minor research projects related to communication and SAW filter design sponsored by the Government of India. IIT Roorkee has awarded him the Khosla annual research prize with the best research paper. His many research papers have been awarded by National and International Committees and Journals. He has worked as Research Scientist at FMH, Munchen, Germany, and visited many countries (UK, France, Germany, Italy, Switzerland, Canada, UAE, Thailand, Netherlands, etc.) related to research work. He has chaired sessions of international conferences and delivered invited talks at various forums. He is Active Reviewer of the IEEE Journals and Editor of various reputed international and national journals. He is Honorary Member of NSBE, ISOC, and IAENG, USA. He has also worked as group leader of Electronics & Instrumentation Engg. Department of BITS Pilani, Dubai Campus, from August 2003 to August 2005. Presently, he is continuing as Professor at IIT Roorkee, Saharanpur Campus.

Joao Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal, in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015. He is Senior Researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Associate Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). He is Co-editor of more than 60 books and Co-author of more than 50 chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been Committee Member of several international and national journals and conferences, is Co-founder and Co-editor of the book series "Lecture Notes in Computational Vision and Biomechanics" published by Springer, Founder and Editor-in-Chief of the journal "Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization" published by Taylor & Francis, Editor-in-Chief of the journal "Computer Methods in Biomechanics and Biomedical Engineering" published by Taylor& Francis, and Co-founder and Co-chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS, and BioDental. Additionally, he has been (Co-)supervisor of several M.Sc. and Ph.D. thesis and Supervisor of several post-doc projects, and has participated in many scientific projects both as researcher and as scientific coordinator. His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human-computer interaction, and new product development.

Catarina Moreira is Computer Scientist and passionate about decision-making technologies that can empower human decisions. She is Lecturer in Information Systems at the Faculty of Science, Queensland University of Technology, where she holds the role of Deputy High Degree Research Academic Lead. Currently, she is Associate Editor for the Springer Nature journal BMC Bioinformatics, section "Machine learning and artificial intelligence." She is a pioneer in the development of quantum-like probabilistic graphical models for decision making to empower human decision making. Her work also comprises machine learning / deep learning models, and innovative human interactive probabilistic models for explainable AI with the goal of understanding how and why machines make decisions. One of her aspirations is to support women in research and in STEM (Science, Technology, Engineering, and Mathematics) with the aim of contributing to a society that promotes equal opportunities across all genders to engage in STEM-related areas.

Dr. B. Surendiran is working as Assistant Professor, Department of CSE, NIT Puducherry, Karaikal. He has more than 15 years of teaching and research experience. He had completed his Ph.D. in the year 2012 from NIT Trichy. His research interests are medical image processing, machine learning, dimensionality reduction, etc. He had 40 internationaljournal and conference publications to his credit. He has delivered 75+ invited lectures, reviewed 350+ research papers, and guided 10 PG/Ph.D. scholars. He has received Best Reviewer Award in 2019 by publons.com, Web of Science, and also Outstanding Reviewer Award by Biomedical and Pharmacology Journal in the year 2020. He is Active Reviewer for IEEE sensors, IET image processing, and various SCI/Scopus Journals.

Détails bibliographiques

Titre : Rising Threats in Expert Applications and ...
Éditeur : Springer
Date d'édition : 2022
Reliure : Couverture souple
Etat : New