Computational Intelligence for Clinical Diagnosis

1. A Novel Approach for Multi class Brain Tumor Classification in MRI Images.- 2. Chicken Swarm-based Feature Selection with Optimal Deep Belief Network for Thyroid Cancer Detection and Classification.- 3. Efficient Method for Predicting Thyroid Disease Classification Using Support Vector Machine Compared Over Logistic Regression.- 4. Optimization of Management Response Towards Airborne Infections.- 5. Adaptive Sailfish Optimization- Contrast Limited Adaptive Histogram Equalization (ASFO-CLAHE) For Hyperparameter Tuning in Image Enhancement.- 6. Efficient Method for Predicting Thyroid Disease Classification Using Convolutional Neural Network Compared Over Support Vector Machine.- 7. Deep Learning in Healthcare Informatics.- 8. Detection of Breast Cancer Diagnosis Algorithm Based On TWCNN Technique.- 9. Internet of Things (IoT) and Artificial Intelligence (AI) to detect Urinary Tract Infections.- 10. Early Detection and Analysis of Diabetics and Non-Diabetics Using Machine Learning.- 11. An Intelligent Air Quality Prediction System Using Neuro-Fuzzy Temporal Classifier with Spatial Constraints .- 12. An Analysis of the Use of Machine Learning in the Diagnosis of Autism Spectrum Disorder .- 13. A Cost-Effective, Agar-Based Phantom for Thermogram Guided Malignancy Analysis.- 14. Multimodality Brain Tumor Image Fusion Using Wavelet and Contourlet Transformation.- 15. Performance based analysis of K-Medoids and K-Means Algorithms for the Diagnosis and Prediction of Oral Cancer.- 16. Comparative Correlation of Markers of Inflammatory Metamorphism in The Peripheral Blood of Patients with Dorsopathies of Different Genesis.- 17. AIOps Observability and Performance Impact of AI and ML Applications for Central Nervous System Drug Discoveries.- 18. Prediction and Classification of Aerosol Deposition in Lung Using CT Scan Images.- 19. Fusing Medical Images Using Pyramid Decomposition by DLCNN Method.- 20. 3D Cyst Sonomammogram Projection Using Reflection Coefficient and Mass Density in Python.- 21. Contrast Enhancement of Digital Mammograms Based on High Contrast-Limited Adaptive Histogram Equalization.- 22. A Pipelined Framework for the Prediction of Cardiac Disease with Dimensionality Reduction.- 23. Dispensable Microsystem Technology for Cancer Diagnosis.- 24. Segmentation of Attributes of The Skin Lesion Using Deep Ensemble Models.- 25. The Role of Emotional Intelligence During A Pandemic Crisis.- 26. Efficient Maintenance of Hospital Records by Entrusted Proof of Work (PoW) Algorithm in Block Chain Technology.- 27. Promethean Utilization of Resources Using Honeybee Optimization Techniques in Cloud Computing with Reference to Pandemic Healthcare .- 28. Healthcare Operational Intellectual Ability in Analysing the Factors Affecting Employee Churn.- 29. Impact on Social Work Practise and Research of Technology, Religion, and HIV/AIDS in India.- 30. Detection of Anomalies in Internet of Things (IoT) Network Using Artificial Neural Intelligence for Healthcare.- 31. Evaluation of Antiulcer Potentiality of D-Alpha-Tocopheryl Succinate by Inhibition of Oxidative Stress and Proinflammatory Cytokines .- 32. An Intelligent Air Quality During COVID-19 Prediction and Monitoring System Using Temporal CNN-LSTM.- 33. Implementation of a 'Useful' Information Measure for Healthcare Decision Making.- 34. Indian Sign Language Recognition Using Surf Feature Extraction and MDAE for Patient Disability Discussion .- 35. The Security Constructions and Enhancements of Smart Wearable Devices in Modern Technologies and Health Monitoring System.- 36. Hinokitiol attenuates LPS-induced arthritic  inflammation – A Preclinical perspective

.- 37. Development of Release Modulated Oxaceprol Topical Niosomal Gel: Assessment of Formulation Parameters and Performance Aspects.- 38. Using ICT Technologies, Open-Source Software Affects DHH Healthcare Issues.- 39. Clinical Intelligence for Cloud Services Resource Scheduling using RNN.- 40. The Capability ofObserving Performance in Healthcare Systems .- 41. Prediction of Lung Cancer from Electronic Health Records Using CNN Supported NLP.- 42. Challenges and Opportunities for IoT Deployment in India’s Healthcare Sector.- 43. WADET: A Novel Approach to Chronic Kidney Disease Detection and Analysis.

Dr. Ferdin Joe John Joseph is currently an Assistant Professor with Thai-Nichi International College, Thai-Nichi Institute of Technology, Bangkok, Thailand. He graduated with his Ph.D. in Computer Science and Information Systems in 2015 from the National Institute of Development Administration, Bangkok, Thailand. He got his bachelor's and master's degrees in Computer Science and Engineering from Anna University, Chennai, India. His research interests include Deep Learning, cloud AI, Blockchain Technology, and Computer Vision. He is an active YouTuber with tech content related to his areas of research in a channel named Ferdin Speaks. He is a keynote speaker for many international conferences and faculty development programs related to cloud computing and AI. He has published papers in reputed peer-reviewed journals and conferences. He is indexed in AD Scientific Index with the top 2000 ranking in Thailand. He is certified as "Most Valuable Professional" (MVP) by AlibabaCloud. He writes blogs for Alibaba Cloud on their official platform.

Dr. Valentina E. Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 270 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling, and Simulation. She is the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), a member of the Editorial Board member of several national and international journals, and is an evaluator expert for national, international projects and Ph.D. Thesis. Dr. Balas is the director of the Intelligent Systems Research Centre in the Aurel Vlaicu University of Arad and the Director of the Department of International Relations, Programs, and Projects at the same university. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in eight editions 2005-2018 held in Romania and Hungary. Dr. Balas participated in many international conferences as an Organizer, Honorary Chair, Session Chair, and member of Steering, Advisory, or International Program Committees. She is a member of EUSFLAT, SIAM and a Senior Member IEEE, member in TC – Fuzzy Systems (IEEE CIS), member in TC – Emergent Technologies (IEEE CIS), member in TC – Soft Computing (IEEE SMCS). Dr. Balas was past Vice-president (Awards) of IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India.

Dr. S. Suman Rajestis currently working as a Professor at Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India. He is an Editor in Chief of the International Journal of Human Computing Studies and The International Journal of Social Sciences World, He is the Chief Executive Editor of the International Journal of Advanced Engineering Research and Science, International Journal of Advanced Engineering, Management and Science, The International Journal of Health and Medicines, The International Journal of Management Economy and Accounting Fields and The International Journal of Technology Information and Computer and also he is an Editorial Board Member in International Journal of Management in Education, Scopus, Inderscience, EAI Endorsed Transactions on e-Learning, and Bulletin of the Karaganda university Pedagogy series. He is also a Book Series Editor in IGI Global Publisher, Springer, etc. All of his writing, including his research, involves elements of creative nonfictionin the Human Computing learning system. He is also interested in creative writing and digital media, Learning, AI, student health learning, etc. He has published 111 papers in peer-reviewed international journals. He has authored and co-authored several scientific book publications in journals and conferences and is a frequent reviewer of international journals and international conferences and also, he is also a reviewer in Inderscience, EAI Journals, IGI Global, Science Publications, etc.…