Guest Editors
Sachi Nandan Mohan...
School of Computer Science &...
Dr. Sachi Nandan Mohanty received his PhD from the Indian Institute of Technology Kharagpur in 2015 (w
Suneeta Satpathy
Center for Cyber Security, S...
Dr. Suneeta Satpathy is an associate professor at the Center for AI & ML, SOA University, Odisha,
Collection Overview
In the face of mounting environmental, economic, and societal challenges, the integration of artificial intelligence (AI) and machine learning (ML) for sustainability efforts has emerged as a transformative approach. This Methods Collection aims to spotlight the latest advancements and practical applications of AI and ML that drive sustainable development across domains such as energy efficiency, climate modeling, smart agriculture, environmental monitoring, healthcare management, waste management, and sustainable urban planning.
The importance of this topic lies in the urgent global need to achieve sustainability goals while managing limited resources and mitigating the impacts of climate change. AI and ML offer unparalleled capabilities to analyze complex data, optimize resource usage, and support predictive decision-making in real-time, enabling more adaptive and intelligent solutions to sustainability challenges.
This Methods Collection seeks to serve as a comprehensive platform for researchers, practitioners, and policymakers by presenting innovative methodologies, frameworks, tools, and case studies that leverage AI and ML for sustainability. It will also encourage interdisciplinary contributions that bridge computer science, environmental studies, engineering, and public policy. By showcasing cutting-edge approaches and highlighting reproducible methods, this collection will support the research community in advancing scalable and ethical AI solutions. Ultimately, it aims to foster collaboration and knowledge exchange, accelerating progress toward a more sustainable and resilient future.
Articles
Utilizing Transfer Learning Approach for Epidemiological Study of Region-Specific Post-Acute Sequelae of SARS-COV-2
195 Views
•
2025
•
Sabbar Rashid Lateef1, Shaymaa Ahmed Saleh2, Vikas B3, Venkateswara Rao Bolla4, Sirisha Potluri5, Yerragudipadu Subbarayudu5, P. Pavan Kumar6, G. Sucharitha7
1College of Medicine, Branch of Clinical Chemistry, Al-Iraqia University, 22Department of chemistry, College of Education for Pure Sciences, Tikrit University, 3Department of Computer Science and Engineering, Sreenidhi University, 4Department of CSE (AI & ML), St. Martin's Engineering College, 5Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, 6Department of Artificial Intelligence and Data Science, Faculty of Science and Technology, The ICFAI Foundation for Higher Education, 7Department of Computer Science and Engineering, Anurag University
Abstracts
Machine Learning Models for Soil Moisture Forecasting and Smart Irrigation in Arid Regions: Insights from Morocco’s Draa Valley
Abdessamad ELMOTAWAKKIL*1
1Department of Computer Science Faculty of Sciences, University Ibn Tofail Kenitra, Morocco
Leveraging Artificial Intelligence in HR Analytics: Transforming Talent Management and Organizational Decision-Making
Niranchana Shri Viswanathan*1
1Assistant Professor
EFFICIENT OVARIAN CANCER CLASSIFICATION USING MACHINE LEARNING MODELS
Hemalatha B1,
Karthik B1,
Vijayaragavan S P1,
Deepa Jose Jose*2
1Bharath Institute of Higher Education and Research,
2KCG College of Technology
A ROBUST EXPLAINABLE RECURRENT DEEP Q LEARNING FOR DETECTING MULTICLASS INTRUSIONS IN IOT
Padmasri Turaka1,
Saroj Panigrahy*1
1VIT-AP University
BRAIN TUMOUR DETECTION BASED ON DEEP LEARNING AND PERFORMANCE ANALYSIS WITH MULTIPLE OPTIMIZERS
Pattisapu Manikanta Manohar*1
1Dept. of Computer Science and Engineering, GITAM School of Technology, GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh, India
Human-Machine Interaction in Regional Print Newsrooms: Automation of News and its Ethical Challenges
Pulkit Sharma1,
Dr Prabhat Dixit*2
1Centre for Distance and Online Education Manipal University Jaipur Jaipur, 303007, Rajasthan, India,
2Assistant Professor, Department of Journalism and Mass Communication Manipal University Jaipur Jaipur, 303007, Rajasthan, India
Real-Time Cancer Detection: Machine Learning Approach to Multi-Cancer Classification
Dilip Kumar Gokapay*1
1VIT-AP University
IMPROVING THE PERFORMANCE OF LEAF DISEASE DETECTION AND CLASSIFICATION USING BEETLE SWARM OPTIMIZATION TECHNIQUE
Penugonda Seetha Rama Krishna*1
1Research Scholar,Department of Computer Science Engineering,Annamalai University, Chidambaram, Tamilnadu
Reducing Hallucinations in Summarization via Reinforcement Learning with Entity Hallucination Index
Praveen Katwe1,
Rakesh Chandra Balabantaray*2,
Kali Prasad Vittala3,
Muktikanta Sahu2
1IIIT Bhubaneswar and Informatica,
2IIIT Bhubaneswar,
3Informatica
Transfer Learning and UNet Segmentation for Paddy Leaf Disease Classification: A Solution with User-Friendly Interface for Non-Technical Users
Penugonda Seetha Rama Krishna*1
1Research Scholar,Department of Computer Science Engineering,Annamalai University, Chidambaram, Tamilnadu
A NOVEL HYBRID APPROACH FOR BRAIN TUMOR CLASSIFICATION IN MRI:ViT-GRU AND GNet-SVM MODELS
Sital Dash*1
1Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, Maharashtra, India. 411048
UTILIZING TRANSFER LEARNING APPROACH FOR EPIDEMIOLOGICAL STUDY OF REGION-SPECIFIC POST-ACUTE SEQUELAE OF SARS-COV-2
Sirisha Potluri*1
1Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Bowrampet, Hyderabad-500043, Telangana, India.
A Healthcare system based on Deep Learning Techniques for the Identification of Gastric Cancer
Jyoti Garg*1
1Maharishi Markandeshwar(Deemed to be University) Mullana, Ambala
Enhancing Medical Image Quality: An Efficient Deep Learning-Based Denoising Approach
Shwetha Dareshwar1,
Manjula Gururaj Rao*2,
Piyush Parek3
1NITTE (Deemed to be University), NM Institute of Technology Bengaluru,
2NITTE (Deemed to be University), NMAM Institute of Technology Nitte, Karkala,
3 NITTE (Deemed to be University), NMAM Institute of Technology Nitte, Karkala
Neurocognitive Analysis of Problem-Solving Stages: Investigating Cognitive Representations Using Electroencephalography
Kishore Kanna R*1
1Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science & Technology, Chennai, India
Revolutionizing Brain Tumor Diagnosis with Adaptive CNN Models
Kishore Kanna R*1
1Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science & Technology, Chennai, India
Innovative Hybrid Bio-Inspired Deep Learning Models for the Automated Diagnosis of Monkey Pox from Medical Images
Bhawani Sankar Panigrahi 1,
Kishore Kanna R*2
1GITAM School of Technology, GITAM University, Vishakhapatnam, India,
2Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology
TCHSHAP: Ensemble of Temporal Weighting, Causal Inference and Hierarchical Attribution for SHAP Optimization
Monika Mangla*1
1Dwarkadas J. Sanghvi College of Engineering
A SMART APPROACH FOR SANSKRIT SLOKA CLASSIFICATION USING TRANSFORMER-BASED MURIL MODEL
Nagendra Panini Challa*1,
Basaraboina Yohoshiva1
1VIT-AP University, Andhra Pradesh, India
Fine-tuning Language Models using Entity Hallucination Index (EHI) for Text Summarization
Praveen Katwe1,
Rakesh Chandra Balabantaray*2,
Kali Prasad Vittala3
1IIIT Bhubaneswar and Informatica,
2IIIT Bhubaneswar,
3Informatica
Multi-Modal Accelerated Deep Learning Techniques for Brain Tumor Diagnosis
Dilip Kumar Gokapay*1
1VIT-AP University
Machine Learning-Based Multimodal Molecular Biomarkers for Predictive Health Analytics
Merlin Linda G*1
1Associate Professor, Department of Computer Science and Engineering, Vidya Jyothi Institute of Technology, Hyderabad, 500075
Innovative Framework for Detection of Damaged Road Surface and Probable Mosquito Breeding Sites
Sonali Bhutad*1
1Shah and Anchor Kutchhi Engineering College, Chembur
Ensemble Deep Learning Models for Robust and Interpretable Prediction of Healthcare Fraud.
MJ D Ebineze*1
1 Depament Of CSE, Koneru Lakshmaiah Educationrt Foundation, Vaddeswaram, India.
TCHSHAP: Ensemble of Temporal Weighting, Causal Inference and Hierarchical Attribution for SHAP Optimization
Archana Salaria1,
Manik Rakhra1,
Nonita Sharma2,
Monika Mangla3,
Fernando Moreira*4
1Lovely Professional University, Phagwara, Punjab, India,
2Indira Gandhi Delhi Technical University for Women, Delhi, India,
3Dwarkadas J. Sanghvi College of Engineering, India,
4REMIT, IJP, Universidade Portucalense, Porto & IEETA, Universidade de Aveiro, Aveiro, Portugal