Applied Data Science and Smart Systems

1 AI-driven global talent prediction: Anticipating international graduate admissions
Sachin Bhoite, Vikas Magar and C. H. Patil
2 English accent detection using hidden Markov model (HMM)
Babu Sallagundla, Kavya Sree Gogineni and Rishitha Chiluvuri
3 Study of exascale computing: Advancements, challenges, and future directions
Neha Sharma, Sadhana Tiwari, Mahendra Singh Thakur, Reena Disawal and Rupali Pathak
4 Production of electricity from urine
Abhijeet Saxena, Mamatha Sandhu, S. N. Panda and Kailash Panda
5 Deep learning-based finger vein recognition and security: A review
Manpreet Kaur, Amandeep Verma and Puneet Jai Kaur
6 Development of an analytical model of drain current for junctionless GAA MOSFET
including source/drain resistance
Amrita Kumari, Jhuma Saha, Ashish Saini and Amit Kumar
7 Crop recommendation using machine learning
Paramveer Kaur and Brahmaleen Kaur Sidhu
8 Environment and sustainability development: A ChatGPT perspective
Priyanka Bhaskar and Neha Seth
9 GAI in healthcare system: Transforming research in medicine and care for patients
Mahesh A., Angelin Rosy M., Vinodh Kumar M., Deepika P., Sakthidevi I. and
Sathish C.
10 Fuzzy L-R analysis of queue network with priority
Aarti Saini, Deepak Gupta, A. K. Tripathi and Vandana Saini
11 Blood bank mobile application of IoT-based android studio for COVID-19
Basetty Mallikarjuna, Sandeep Bhatia, Neha Goel, and Bharat Bhushan Naib
12 Selection of effective parameters for optimizing software testing effort estimation
Vikas Chahar and Pradeep Kumar Bhatia
13 Automated detection of conjunctivitis using convolutional neural network
Rajesh K. Bawa and Apeksha Koul
14 An overview of wireless sensor networks applications, challenges and security attacks
N. Sharmila Banu, B.Vidhya and N.Mahendran
15 Internet of health things-enabled monitoring of vital signs in hospitals of the future
Amit Sundas, Sumit Badotra, Gurpreet Singh and Amit Verma
16 Artificial intelligence-based learning techniques for accurate prediction and classification
of colorectal cancer
Yogesh Kumar, Shapali Bansal, Ankush Jariyal and Apeksha Koul
17 SLODS: Real-time smart lane detection and object detection system
Tanuja Satish Dhope, Pranav Chippalkatti, Sulakshana Patil, Vijaya Gopalrao Rajeshwarkar
and Jyoti Ramesh Gangane
18 Computational task off-loading using deep Q-learning in mobile edge computing
Tanuja Satish Dhope, Tanmay Dikshit, Unnati Gupta and Kumar Kartik
19 A comprehensive analysis of driver drowsiness detection techniques
Aaditya Chopra, Naveen Kumar and Rajesh Kumar Kaushal
20 Issues with existing solutions for grievance redressal systems and mitigation approach using
blockchain network
Harish Kumar, Rajesh Kumar Kaushal and Naveen Kumar
21 A systematic approach to implement hyperledger fabric for remote patient monitoring
Shilpi Garg, Rajesh Kumar Kaushal and Naveen Kumar
22 Developing spell check and transliteration tools for Indian regional language – Kannada
Chandrika Prasad, Jagadish S. Kallimani, Geetha Reddy and Dhanashekar K.
23 Real-time identification of traffic actors using YOLOv7
Pavan Kumar Polagani, Lakshmi Priyanka Siddi and Vani Pujitha M.
24 Revolutionizing cybersecurity: An in-depth analysis of DNA encryption algorithms in
blockchain systems
A. U. Nwosu, S. B. Goyal, Anand Singh Rajawat, Baharu Bin Kemat andWan Md Afnan
Bin Wan Mahmood
25 Exploring recession indicators: Analyzing social network platforms and newspapers textual
datasets 180
Nikita Mandlik, Kanishk Barhanpurkar, Harshad Bhandwaldar, S. B. Goyal, Anand Singh
Rajawat and Surabhi Rane
26 NIRF rankings’ effects on private engineering colleges for improving India’s educational
system looked at using computational approaches
Ankita Mitra, Subir Gupta, P. K. Dutta, S. B. Goyal, Wan Md. Afnan Bin Wan Mahmood
and Baharu Bin Kemat
27 Analysis of soil moisture using Raspberry Pi based on IoT
Basetty Mallikarjuna, Sandeep Bhatia, Amit Kumar Goel, Devraj Gautam, Bharat Bhushan
Naib and Surender Kumar
28 Drowsiness detection in drivers: A machine learning approach using hough circle
classification algorithm for eye retina images
J. Viji Gripsy, N. A. Sheela Selvakumari, S. Sahul Hameed and M. Jamila Begam
29 Optimizing congestion collision using effective rate control with data aggregation algorithm
in wireless sensor network
K. Deepa, C. Arunpriya and M. Sasikala
30 DDoS attack detection methods, challenges and opportunities: A survey
Jaspreet Kaur and Gurjit Singh Bhathal
31 A review of privacy-preserving machine learning algorithms and systems
Utsav Mehta, Jay Vekariya, Meet Mehta, Hargeet Kaur and Yogesh Kumar
32 Optimization techniques for wireless body area network routing protocols: Analysis and
comparison
Swati Goel, Kalpna Guleria and Surya Narayan Panda
33 Securing the boundless network: A comprehensive analysis of threats and exploits in
software defined network
Shruti Keshari, Sunil Kumar, Pankaj Kumar Sharma and Sarvesh Tanwar
34 A bibliometric analyses on emerging trends in communication disorder
Muskan Chawla, Surya Narayan Panda and Vikas Khullar
35 Enhancing latency performance in fog computing through intelligent resource allocation
and Cuckoo search optimization
Meena Rani, Kalpna Guleria and Surya Narayan Panda
36 Pediatric thyroid ultrasound image classification using deep learning: A review
Jatinder Kumar, Surya Narayan Panda and Devi Dayal
37 Hybrid security of EMI using edge-based steganography and three-layered cryptography
Divya Sharma and Chander Prabha
38 Efficient lung cancer detection in CT scans through GLCM analysis and hybrid classification
Shazia Shamas, Surya Narayan Panda and Ishu Sharma
39 Newton Raphson method for root convergence of higher degree polynomials using big
number libraries
Taniya Hasija, K. R. Ramkumar, Bhupendra Singh, Amanpreet Kaur and Sudesh Kumar
Mittal
40 The influence of compact modalities on complexity theory
Lalit Sharma, Surbhi Bhati, Mudita Uppal and Deepali Gupta
41 Designing a hyperledger fabric-based workflow management system: A prototype solution
to enhance organizational efficiency
Arjun Senthil K. S., Thiruvaazhi Uloli and Sanjay V. M.
42 Exploring Image Segmentation Approaches for Medical Image Analysis
Rupali Pathak, Hemant Makwana and Neha Sharma
43 Design and performance analysis of electric shock absorbers
Jenish R. P. and Surbhi Gupta
44 Integrating metaverse and blockchain for transparent and secure logistics management
A.U. Nwosu, S.B. Goyal, Anand Singh Rajawat, Baharu Bin Kemat and Wan Md Afnan
Bin Wan Mahmood
45 A systematic study of multiple cardiac diseases by using algorithms of machine learning
Prachi Pundhir and Dhowmya Bhatt
46 Forecasting mobile prices: Harnessing the power of machine learning algorithms
Parveen Badoni, Rahul Kumar, Parvez Rahi, Ajay Pal Singh Yadav and Siroj Kumar Singh
47 Deep learning-based chronic kidney disease (CKD) prediction
J. Angel Ida Chellam, M. Preethi, R. Rajalakshmi and E. Bharathraj
48 Cattle identification using muzzle images
J. Anitha, R. Avanthika, B. Kavipriya and S. Vishnupriya
49 Simulation-based evaluating AODV routing protocol using wireless networks
Bhupal Arya, Dr. Jogendra Kumar, Dr. Parag Jain, Preeti Saroj, Mrinalinee Singh and Yogesh
Kumar
50 Smart agriculture using machine learning algorithms
Tript Mann and Jashandeep Kaur
51 Cloud computing empowering e-commerce innovation
Zinatullah Akrami and Gurjit Singh Bhathal
52 Navigating blockchain-based clinical data sharing: An interoperability review
Virinder Kumar Singla, Amardeep Singh and Gurjit Singh Bhathal
53 Analysis of data backup and recovery strategies in the cloud
Sumeet Kaur Sehra and Amanpreet Singh
54 Landslide identification using convolutional neural network
Suvarna Vani Koneru, Harshitha Badavathula, Prasanna Vadttitya and Sujana Sri Kosaraju
55 Retinal vessel segmentation using morphological operations
Vishali Shapar and Jyoti Rani
56 Liver segmentation using shape prior features with Chan-Vese model
Veerpal and Jyoti Rani
57 Online video conference analytics: A systematic review
Vishruth Raj V. V. and Mohan S. G.
58 Sales analysis: Coca-Cola sales analysis using data mining techniques for predictions and
efficient growth in sales
Siddique Ibrahim S. P., Pothuri Naga Sai Saketh, Gamidi Sanjay, Bhimavarapu Charan
Tej Reddy, Mesa Ravi Kanth and Selva Kumar S.
59 Statistical analysis of consumer attitudes towards virtual influencers in the metaverse
Sheetal Soni and Usha Yadav
60 Quantum dynamics-aided learning for secure integration of body area networks within the
metaverse cybersecurity framework
Anand Singh Rajawat, S. B. Goyal, Jaiteg Singh and Celestine Iwendi
61 An optimized approach for development of location-aware-based energy-efficient routing
for FANETs
Gaurav Jindal and Navdeep Kaur
62 Quantum cloud computing: Integrating quantum algorithms for enhanced scalability and
performance in cloud architectures
Anand Singh Rajawat, S. B. Goyal, Sandeep Kautish and Ruchi Mittal
63 Integrating AI-enabled post-quantum models in quantum cyber-physical systems
opportunities and challenges
S. B. Goyal, Anand Singh Rajawat, Ruchi Mittal and Divya Prakash Shrivastava
64 Adaptive resource allocation and optimization in cloud environments: Leveraging machine
learning for efficient computing
Anand Singh Rajawat, S. B. Goyal, Manoj Kumar and Varun Malik
65 Quantum deep learning on driven trust-based routing framework for IoT in the metaverse
context
S. B. Goyal, Anand Singh Rajawat, Jaiteg Singh and Chawki Djeddi
66 Advancing network security paradigms integrating quantum computing models for
enhanced protections
Anand Singh Rajawat, S. B. Goyal, Chaman Verma and Jaiteg Singh
67 Optimizing 5G and beyond networks: A comprehensive study of fog, grid, soft, and
scalable computing models
S. B. Goyal, Anand Singh Rajawat, Jaiteg Singh and Tony Jan
68 Smart protocol design: Integrating quantum computing models for enhanced efficiency and
security
S. B. Goyal, Sugam Sharma, Anand Singh Rajawat and Jaiteg Singh
69 Efficient IIoT framework for mitigating Ethereum attacks in industrial applications using
supervised learning with quantum classifiers
S. B. Goyal, Anand Singh Rajawat, Ritu Shandilya and Varun Malik
70 Quantum computing in the era of IoT: Revolutionizing data processing and security in
connected devices 552
S. B. Goyal, Sardar M. N. Islam, Anand Singh Rajawat and Jaiteg Singh
71 A federated learning approach to classify depression using audio dataset
Chetna Gupta and Vikas Khullar
72 Securing IOT CCTV: Advanced video encryption algorithm for enhanced data protection
Kawalpreet Kaur, Amanpreet Kaur, Vidhyotma Gandhi and Bhupendra Singh
73 A comprehensive review of federated learning: Methods, applications, and challenges in
privacy-preserving collaborative model training
Meenakshi Aggarwal, Vikas Khullar and Nitin Goyal
74 Review of techniques for diagnosis of Meibomian gland dysfunction using IR images
Deepika Sood, Anshu Singla and Sushil Narang
75 The impact of unstable symmetries on software engineering
Lalit Sharma, Surbhi Bhati, Mudita Uppal and Deepali Gupta
76 Integrating quantum computing models for enhanced efficiency in 5G networking systems
Anand Singh Rajawat, S. B. Goyal, Jaiteg Singh and Xiao Shixiao
77 Micro-expressions spotting: Unveiling hidden emotions and thoughts
Parul Malik and Jaiteg Singh
78 Artificial intelligence and machine vision-based assessment of rice seed quality
Ridhi Jindal and S. K. Mittal

Biography

Dr. Jaiteg Singh

is an accomplished academician with 19 years of experience in research, development, and teaching in computer science and engineering. Possesses expertise in diverse fields like Neuromarketing, Navigation systems, Software Engineering, Business Intelligence, and Data Mining. He has supervised thirteen Ph.D. thesis and eighteen M.Tech thesis. He has generated significant consultancy revenue, organized international conferences, published extensively in renowned journals indexed at reputed databases like Scopus and Web of Science. He has authored/ edited six books, secured four US copyrights, and even filed for over 50 patents. He is serving as reviewer for numerous journals from reputed publishers like Elsevier, Springer, Wiley, MDPI and IEEE. Email: [email protected]

Dr. S B Goyal

a distinguished personality in the realm of Computer Science & Engineering, earned his Ph.D. from Banasthali University, Rajasthan, India, in 2012. With over two decades of rich experience spanning both national and international levels, he has made significant contributions to the academic and administrative sec□tors of numerous institutions. Dr. Goyal’s unparalleled curiosity and dedication to staying abreast of the latest IT developments have established him as an authority in Industry 4.0 technologies. His expertise encompasses a wide range of cutting-edge fields, including Big Data, Data Science, Artificial Intelligence, Blockchain, and Cloud Computing. Dr. Goyal actively participates in panel discussions, sharing his knowledge on Industry 4.0 technologies in both academic and industry platforms. His edito□rial prowess is recognized through his contributions as a reviewer, guest editor, and co-editor for numerous International Journals and Scopus books published by prestigious organizations like IEEE, Inderscience, IGI Global, and Springer. An esteemed IEEE Senior member since 2013, Dr. Goyal has an impressive record of contributions to Scopus/ SCI journals and conferences as an editor. His innovative spirit is further evidenced by his possession of over 10 international patents and copyrights from countries including Australia, Germany, Japan, and India. Throughout his illustrious career, Dr. Goyal has been the recipient of numerous academic excellence awards at both national and international levels. Currently, he holds the esteemed position of Director at the Faculty of Information Technology, City University, Malaysia. His commitment to emerging technologies continues to inspire and pave the way for future innovations and technological advancements. Email: [email protected]

Dr. Rajesh Kumar Kaushal

is a highly accomplished and dedicated researcher and educator, boasting a robust background in Computer Science and Engineering, and accumulating an extensive 19 years of experience in academia since 2004. Holding a Ph.D. in Computer Science and Engineering from Chitkara University, Punjab, India, he currently serves as a professor in the Department of Computer Applications and actively contributing to research endeavors. Dr. Kaushal’s prolific research output is evident through his involvement in more than 60 patent filings, with one of them being published in the World Intellectual Property Organization (WIPO) and 15 being granted. Additionally, he has taken on the role of Project Manager in a DST-funded project titled “Smart and Portable Intensive Care Unit,” supported by the Millennium Alliance (FICCI, USAID, UKAID, Facebook, World Bank, and TDB DST). Furthermore, he served as a Co-Principal Investigator in another DST-funded project named “Remote Vital Information and Surveillance System for Elderly and Disabled Persons,” under the Technology Intervention of Disabled and Elderly (TIDE) scheme of the Ministry of Science & Technology, Government of India. Presently he is working on another DST funded project named “Smart Ergonomic Portable Commode Chair” under the DST TIDE scheme. He is also actively contributing the research community in the area of Blockchain and Internet of Things and have published more than 55 research papers and all of them are either indexed in SCOPUS or SCI. Additionally, he serves as a visiting professor at Kasetsart University in Sakon Nakhon, Thailand, and actively participates as a reviewer for the peer-reviewed journal “Technology, Knowledge & Learning.” Recognizing his exceptional contributions to education, Dr. Kaushal has been honoured with the Teacher Excellence Award twice, receiving the accolade in both 2017 and 2019 from Chitkara University, Punjab, India. In 2017, he earned the Teacher Excellence Award in the category of “Most Enterprising,” and in 2019, the recognition was bestowed upon him in the category of “Most Enterprising & Emerging Leader.” Email: [email protected]

Dr Naveen Kumar

is a distinguished academician and researcher with a Ph.D. in Computer Science and Engineering, boasting over 25 years of rich experience in both teaching and research domains. His journey includes notable contributions as a research fellow at PGIMER, Chandigarh, where he actively contributed to a Department of Science & Technology (DST) funded project titled “Closed Loop Anaesthesia Delivery System.” Currently serving as an Associate Professor at Chitkara University Research and Innovation Network (CURIN) within the Research Department of Chitkara University, Punjab, Dr Naveen Kumar continues to be at the forefront of cutting-edge research initiatives. His dedication to academic excel□lence is evident through his extensive engagement in research activities, reflected in his impressive track record. Dr. Naveen Kumar’s expertise extends to intellectual property rights, with a remarkable portfolio comprising over 70 filed patents, of which more than 30 have been granted. Furthermore, his contributions to scholarly literature are substantial, with over 50 research articles published across various prestigious journals and conferences. His commitment to knowledge dissemination is highlighted by his author□ship of the book “Workshop Practice,” published by Abhishek Publication. He is actively engaged in many Govt. funded research projects and presently he is working on a research project as a Principal Investigator “Smart Ergonomic Portable Commode chair”. This initiative, supported by the Technology Intervention for Disabled and Elderly (TIDE) scheme under the Ministry of Science & Technology, Government of India, underscores his dedication to innovation for societal welfare. Recognizing his exceptional contributions, Dr. Naveen Kumar has been honoured with prestigious awards, including the Teacher Excellence Award for “Most Collaborative” in 2019 and the Extra Mural Funding Award in 2021, both conferred by Chitkara University, Punjab, India. Email: [email protected]

Dr. Sukhjit Singh Sehra

is currently working as an Assistant Professor at Wilfrid Laurier University, Waterloo, Canada. A proactive academician with extensive expe□rience teaching undergraduate and graduate courses in Machine Learning, Artificial Intelligence, Natural Language Processing, Spatial Data Science, and Big Data. He possesses strong analytical skills and proven expertise in large-scale spatial and unstructured textual datasets. He has supervised 19 master’s theses and published over 80+ peer-reviewed articles in journals and conferences. He possesses 18 + years of experience in research, academia, and industry. He worked at prestigious organi□zations in India and Canada, like Guru Nanak Dev Engineering College, Ludhiana, Punjab and Elocity Technologies, Canada He is actively involved in the usability and application of technology to solve social problems. He is a Co-Founder and Director at Sabudh Foundation, India. A data science organization for social initiatives (http://sabudh.org) to develop an incubation center of artificial intelligence and machine learning for the youth of India. Email: [email protected]