Recent Advances in Computing Sciences

Proceedings of RACS 2022
1. Auflage 2023
ISBN: 978-1-032-52195-4
Verlag: CRC Press

Buch, Englisch, 344 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 617 g

The 1st International Conference on Recent Advances in Computing Sciences (RACS-2022) organized by the School of
Computer Application, Lovely Professional University, Jalandhar, Punjab from 4th to 5th November, 2022.
The conference focuses on discussing issues, exchanging ideas, and the most recent innovations towards the advancement
of research in the field of Computing Sciences and Technology. All technical sessions were predominantly
related to Data Science, Artificial Intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics,
Cyber Security, Computational Sciences, Simulation & Modelling, Business Analytics, and Machine Learning.
The main objective of this conference is to provide a common platform for academia and industry to discuss various
technological challenges and share cognitive thoughts. It provided a thought-provoking platform to discuss and
disseminate novel solutions for real-world problems in a dynamic and changing technological environment. The main
success of RACS-2022 is to give an opportunity for the participants to enhance their knowledge of recent computing
technologies.

Zielgruppe

Postgraduate and Undergraduate Advanced

Autoren/Hrsg.

Sheikh, Sophiya

Sharma, Manmohan

Singh, Amar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Technische Informatik

Inhaltsverzeichnis

1 Agile estimation: empirical study on critical factors 2 Deepfakes: benefits, threats, and combat strategies 3 Blockchain and big data as emerging solutions for fog challenges: An impeccable study 4 Analysis of CNNs built using transfer learning and data augmentation on landmark recognition datasets 5 A novel framework for the smart healthcare system using load balancing aspired cloud computing and IoT 6 Convolutional autoencoders-based model for De-novo breast anticancer drug development 7 Automation using artificial intelligence and machine learning: A study on banking and healthcare 8 Comparative study of deep learning-based clustering techniques for brain tumor segmentation 9 Leukemia detection: An overview of different artificial intelligence based approaches 10 Industry 5.0 centric curriculum and pedagogy adoption capability of educational institutions—remodeling technical education in India 11 Soil inspecting smart machine 12 Study and comparison of various substrate integrated waveguide fed antenna technology for X-band applications 13 A comparative study on access control mechanism for blockchain enabled scalable systems in health care 14 A comprehensive study on student’s academic performance prediction using artificial intelligence 15 Detection of COVID-19 in CT scan images using intelligent methods 16 Comprehensive review on digital image forgery detection methods 17 Model for home automation system through FPGA 18 K-means algorithm to cluster the internet autonomous systems into tiers 19 A comparative analysis of machine learning techniques for effective heart disease prediction 20 Sample size estimation techniques for classification – A review 21 Detection of early-stage symptoms of diabetic retinopathy prediction performance in machine learning algorithms 22 Smart contract-based access control in file sharing 23 JSON Web Token Jumble Render Technique based authentication scheme for android applications 24 A review on deep learning techniques for detecting COVID-19 from X-rays and CT scans 25 Gamification applications: A new perspective 26 In-depth analysis of key task scheduling algorithms and inception of real-time EPSO-BAT model 27 Improved BEENISH protocol using fuzzy rules to reduce energy consumption in wireless sensor networks 28 An optimized model for apple leaf disease detection and performance comparison with state-of-art techniques using indigenous dataset 29 Recent trends and challenges in malware analysis and detection-A comparative study 30 Robust cloud-based Internet of Things authenticated key agreement scheme for wireless sensor networks 31 Relevance of cloud computing in health industry- A critical study 32 Review of internet of things and its enabling technologies 33 A robust DNN-based model for diabetes mellitus
34 Role of load balancing algorithms in cloud environment 35 Software-defined network: An emerging solution for IoT-CC-edge paradigm—An impeccable study 36 Optimized prediction model using support vector machine for classification of infection in Tulsi leaf 37 Mapping landslide vulnerability in Kali Khola catchment: A frequency ratio approach with integrated machine learning ensembles 38 A review for identification and detection of plant disease using machine learning 39 Artificial intelligence’s involvement in education and student’s academic performance 40 An experimental study of text preprocessing techniques on user reviews 41 Implementation of gas and fire detection systems in home and industrial environment 42 Machine learning and artificial intelligence in the era of digital marketing 43 Comparative study of rice crop growth stages using sentinel-1 and MODIS satellite imagery 44 Sentiment analysis of IMDB movie review with machine learning 45 A novel approach for classification of different Alzheimer’s stages using pre-trained deep learning models with transfer learning and their comparative analysis 46 A detailed survey on applications of machine learning techniques for forecasting 47 Sentiment analysis on mobile reviews by using machine learning models 48 Investigating the impact of motivational techniques on the employee retention with special reference to telecom industry 49 Federated learning: A rescue in machine learning for data privacy preservation 50 Integration of deep neural network architecture for network intrusion detection system 51 A load balanced approach for smart agriculture system based on IoT- cloud framework 52 Computational intelligence methods for predicting breast cancer 53 A fault-tolerant resource reservation model in cloud computing
54 Twitter sentiment analysis for depression detection using machine learning algorithms 55 Technology in food industry: Effect of website quality, perceived risk and subjective norms on consumer trust and purchase intention 56 Artificial intelligence as a tool in the visual effects and film industry 57 A systematic review on performance enhancement methods in LTE-A downlink 58 Investigating the scope of semantic analysis in natural language processing considering accuracy and performance

Über Autor(innen)

Dr. Sophiya Sheikh is an Associate Professor at Lovely Professional University, Phagwara, Punjab. She has completed her Ph.D. from the Department of Computer Science, Central University of Rajasthan, India. She did her MCA in Computer Science and Applications from Rajasthan Technical University, Kota, and her B.Sc. in Information Technology from Maharshi Dayanand Saraswati University, Ajmer, India. She is a potential reviewer in various reputed journals like IEEE System Journal, Cluster Computing, Scientific Reports, Journal of Supercomputing, etc. Her research interests are Grid/Distributed Computing and Cloud Computing. She regularly writes articles and research papers in reputed National and International magazines and Journals. You can contact her at the School of Computer Applications, Lovely Professional University, Phagwara, Punjab (India) - 144411.

Dr. Manmohan Sharma presently serving as Professor in School of Computer Applications, Lovely Professional University, Punjab, INDIA has a vast experience of more than 24 years in the field of academics, research and administration with different Universities and Institutions of repute such as Dr. B.R. Ambedkar University, Mangalayatan University etc. Dr. Sharma has been awarded with his Doctorate degree from Dr. B.R. Ambedkar University, Agra in 2014 in the field of Wireless Mobile Networks. His areas of interest include Wireless Mobile Networks, Adhoc Networks, Mobile Cloud Computing, Recommender Systems, Data Science and Machine Learning etc. More than 50 research papers authored and co-authored, published in International or National journals of repute and conference proceedings comes under his credits. He is currently supervising six doctoral theses. Three Ph.D. and three M.Phil. degrees has already awarded under his supervision. He has guided more than 600 PG and UG projects during his service period under the aegis of various Universities and Institutions. He worked as reviewer of many conference papers and member of the technical program committees for several technical conferences. He is also actively serving several journals related to the field of wireless, mobile communication and cloud computing as editorial board member. He is also member of various professional/technical Societies including Computer Society of India (CSI), Association of Computing Machines (ACM), Cloud Computing Community of IEEE, Network Professional Association (NPA), International Association of Computer Science and Information Technology (IACSIT), and Computer Science Teachers Association (CSTA).

Dr. Amar Singh is working as a Professor in the School of Computer Applications, Lovely Professional University, Punjab, India. He did his Ph.D. (Computer Science & Engineering) from IKG Punjab Technical University, Jalandhar, Punjab, India. He has completed his M. Tech. (Information Technology) M.M. University, Mullana, Ambala, Haryana, India. He is a lifetime member of ISCA (Indian Science Congress Association). He has more than 13 years of experience in Teaching and Research. He has published around 80 research articles in various Journals and Conferences. His current research interests are Soft Computing, Machine Learning, and Image Processing. He has successfully guided 02 Ph.D. research scholars and, 08 Ph.D. research scholars are conducting research under his guidance.