The proceedings of the first International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2024) present a rich repository of cutting-edge research on smart computing, artificial intelligence and machine learning.
The proceedings of the first International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2024) present a rich repository of cutting-edge research on smart computing, artificial intelligence and machine learning.
It highlights technological breakthroughs and practical challenges in the field of edge learning, data mining, image processing, smart communications, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems and imaging. It also explores a wide range of communication paradigms, especially those pertaining to smart cities by delving deeper into smart healthcare, smart transportation and intelligent data processing. The findings are instrumental in combating critical global issues and foster a deeper understanding of the role of AI in shaping the world we live in.
This will be a highly valuable guide to researchers, data scientists, practicing professionals and students in the fields of artificial intelligence, machine learning and data processing.
Session 1: Smart computing
Non-invasive PCOS prediction using SVM: A data-driven machine learning
approach
Comparative evaluation of machine learning models for enhanced mental health
prediction
Optimized gradient boosting models for effective obesity risk assessment
A comparative analysis of optimization algorithms for non-contact heart rate
measurement using DNN
Assessing classification algorithms in Fog computing for diabetes diagnosis:
A TOPSIS analysis of kNN, Naļve Bayes, and SVM (Cubic)
A hybrid approach to enhancing heart disease prediction using machine
learning techniques
Over The Top (OTT) media services: Market trends, viewer preferences and
strategic implications
An improved approach of robust and scalable WSN routing policy with adaptable
loads using ranking mechanism by ML
Adapting to the adversaries: A thorough examination of machine learning
methods in the persistent fight against spam
Securing networks with transfer learning neural networks: Identifying
malicious traffic
A comprehensive review of sentiment analysis methods for social media data
Transforming customer insights: Sentiment analysis of Amazon reviews with
Naive Bayes
Session 2: Sustainable communication
A machine learning based approach for detection of fake news using real time
data
Design and development of a facial recognition-based system for extraction of
missing person leads using deep learning algorithms
Assessing the security risks of cryptocurrency mining pools: Strategies for
mitigating centralization threats
Strategies to mitigate neurocognitive decline in brain metastasis and
treatment interventions
Utilizing big data analytics and data mining techniques to improve
operational efficiency for predictive maintenance in the automotive sector
GastosBuddy: A smart personal finance manager with optical character
recognition integration (OCR) and financial visualization forecast
Recent advancements in the diagnosis of gastric cancer using AI-based MRI and
CT imaging
Machine learning for smarter supply chains: A playbook for next-generation
inventory optimization
Deep learning-based IoT solutions for real-time health monitoring
Transforming smart education: RPA-driven scheduling for enhanced learning
efficiency
Session 3: Technological convergence and applications
Clinical relevance of AI-powered drug discovery
Explainable AI for healthcare: Enhancing transparency and interpretability
Examining the impact of academic pressure and workload in NEP system on
student well-being and performance: A multi-dimensional analysis
Energy-efficient Moore FSM implementation on Xilinx Genesys and Kintex FPGA
families
Optimizing data memory MIPS for addressing energy shortfalls with Kintex FPGA
Protecting networks: A machine learning-based approach to prevent DDoS attack
in SDNs
Evaluating the accuracy and computational load of Booths Algorithm and Vedic
multiplication in digital systems
Enhancing IoT with AI: A systematic literature review and comparative study
of applications and performance
Enhancing deepfake detection with CNNs and vision transformers: Navigating
ethical and legal challenges
Comparative analysis and evaluation of standard PSO with modified PSO
R3 garage car rental: Leveraging real-time GPS tracking and web-based
technology
Automatic water tank level monitoring and controlling system using PLC and
sensors
Innovative approaches in designing an AutoPilot surveillance drone system
XAI: Interpretability and explainability
Session 4: Inspiring technology solutions for sustainable technologies
Quality management system for automated product sorting using PLC
Deep learning approaches for image classification: Performance analysis and
optimization
Deep learning-based wild animal recognition for real-time intrusion detection
and wildlife conservation
Artificial intelligence influence on the function and consequences of human
resource management with the locus of control and innovative work behaviour
The overview and introduction of artificial intelligence and emotional
intelligence to advertising
AI-surveillance system for examination cheating prevention
An automated prest-O-lite valve gripper switch for LPG tanks with SMS alert
notification
Kinetic energy conversion in human-powered exercise equipment: Advancing
sustainable energy harvesting technologies
Efficient printing solutions through the automated kiosk system
Pest eliminator rover: Light-induced attracting catcher and computer
vision-guided sprayer
PigSmartHealth: A monitoring device for potential health risk
Seismic monitoring device with wearable technology for enhanced search and
rescue operations
Sleep haven: A sleep-enhancing lamp with sleep state detection
Analysis of congestion mitigation approaches in wireless sensor networks:
Performance parameters and evaluation
Analysis of cybercrime cases in India: Harnessing text mining for detecting
crime against women
Enhancing early learning experiences: Integrating Augmented Reality in early
childhood education
Security solution for industrial IoT: An Edge-Cloud based approach
A scrutiny of resources within Wireless Mesh Networks aimed at improving
network performance
Patient perception and feasibility of telerehabilitation in patients with
knee osteoarthritis
Session 5: Healthcare computing and sustainability
Nanotechnology in healthcare: Green synthesis of silver nanoparticles for
antifungal activity of essential oils
Adopting telerehabilitation: Insights into physical therapists viewpoints
and readiness for implementing telerehabilitation during COVID-19
AI-driven early detection of cataract, its type and grading: A review
Blended in-service education model on attitude and satisfaction among nursing
professionals
Perception of nursing graduates towards their preparedness to practice in
clinical setting during outbreak of COVID-19 in selected nursing colleges of
Delhi & NCR
Nurse-led interventions in hypertension: Enhancing adherence and
self-efficacy
An effectiveness of a dementia sensitization programme on awareness and
attitude of middle-aged adults
Antecedents of green healthcare activities for sustainable healthcare: An
empirical investigation
Impact of preterm infant oral motor intervention (PIOMI) in improving oral
motor skills among preterm infants: A pilot study
Respectful Maternity Care (RMC): Right of every women in labor
Effectiveness of six sigma methodology on family planning methods
The association between age-gender dynamics and dry eye syndrome in young
adults: Study contributing to sustainable eye health
Bioactive-based nanocarriers for sustainable ocular applications: A review
Fast Hug Bids: A quantitative approach
Factors contributing to the prevalence of diarrhea among under-5 year
children: A cross-sectional survey
Oral health in under five children: Assessing mothers knowledge and attitude
Lamaze breathing technique during labor: Effect on maternal, fetal & neonatal
parameters
A novel virtual reality device for objective assessment of size of
intraocular suppression for sustainable eyecare
Visual comfort for a sustainable digital future: Investigating the link
between letter contrast, accommodation, and pupillary responses
Evidence-based resources from web-based information in optometry
Evaluation of static and dynamic visual acuity of professional bus drivers: A
cross sectional study
Glaucoma detection in the age of AI: A solution for sustainable future
A sustainable artificial intelligence solution for detection of early
cataract: A comprehensive review
Impact of various tinted shades on colour perception and contrast sensitivity
Shalli Rani is currently Director, Research & Senior Member of IEEE. She completed her post-doc from Manchester Metropolitan University, UK in 2023. She also serves as a professor at the Institute of Engineering and Technology, Chitkara University, Punjab, India. She has 18+ years of teaching experience. She holds an MCA degree from Maharishi Dyanand University, Rohtak, an M.Tech. degree in Computer Science from Janardan Rai Nagar Vidyapeeth University, Udaipur, and a Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar. Her research focusses on Wireless Sensor Networks, Underwater Sensor networks, Machine Learning and Internet of Things. She has published and presented more than 100 papers in international journals and conferences (SCI+Scopus) and edited/authored five books with international publishers. She presently serves as Associate Editor with IEEE Future Directions Letters and Guest Editor with IEEE Transaction on Industrial Informatics and Hindawi WCMC. She received the prestigious Young Scientist Award in 2014 from the Punjab Science Congress, along with the Lifetime Achievement Award and the Supervisor of the Year Award from Global Innovation and Excellence, 2021.
Ayush Dogra is presently an Allied Member of the European Society of Oncological Imaging and serves as Assistant Director Research, CURIN, Chitkara University, Punjab, India. He holds a bachelors degree in Engineering and Technology from Guru Nanak Dev University, Amritsar, a masters degree in Electronics & Communication Engineering from Punjabi University, Patiala, and a masters degree in Business Management (MBA) from IGNOU, Delhi. He was awarded a doctorate degree by the Department of Electronics and Communications Engineering, Panjab University. His research focuses on devising a novel and innovative, market-oriented mechanism for medical image fusion. He has previously worked as CSIR-Nehru Post-Doctoral Researcher with CSIR, Chandigarh; Junior and Senior Research Fellow with the Department of Electronics and Communication Engineering, Punjab University, Chandigarh; and Post-doctoral Fellow with the Center of Biomedical Engineering, IIT Ropar.
Ashu Taneja is currently Associate Professor at Chitkara University, Punjab, India. She has more than 13 years of experience in academia and industrial research. She received her M.E. from Thapar University, Punjab. She has published more than 30 research papers in various International Journals (SCI & Scopus indexed) and chaired many sessions in international conferences across India. She has also published some edited books and chapters. She has served as a reviewer for many reputed journals, such as IEEE, IET, Hindawi and MDPI. She is a lifetime member of ISTE. Her research areas include IoT, 5G, 6G, wireless networks, energy harvesting.
