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Corpus Scientific Journal of Multidisciplinary and Innovation

Explore key publication details, scope, and the latest published articles.

  • Abbreviated Key Title CS J Mul Inno
  • ISSN xxxx-xxxx
  • Frequency Bio-Monthly
  • Subject Emergency medicine, Critical care medicine, Dermatology, Family medicine, General Practice, Hematology, Infectious disease, Kinesiology, Laboratory medicine, Medical physics, Medicine and Dentistry, Neurology, Nursing and Health Professions, Nutrition and Metabolism, Oncology, Ophthalmology, Otolaryngology Pathology, Pharmaceutical Science, Pharmacology and Toxicology, Pharmacology, Psychiatry, Public health and preventive medicine, Radiology, Siddha and Ayurveda, Splanchnology, Surgery, Urology, Veterinary Medicine, Veterinary Science, Chemical Sciences, Arts and Humanities, Business Management, Chemical Engineering, Computer Science, Decision Science, Earth and Planetary Science, Economics, Education, Energy, Engineering, Engineering & Technology, Engineering Sciences, English Literature, Finance, Hindi Literature, History, Hotel Management, Information Technology, Law, Linguistics and Languages, Management, Material Science, Mathematical and Statistical Sciences, Mathematics, Physical Education, Physical Sciences, Physics and Astronomy, Political Science, Psychology, Religion Studies, Sanakrit Literature Tourism, Accounting, Banking, Business and Marketing, E-Commerce, Economics, Enterprise Resource Planning, Financial Development Human Resources, Income Tax, Insurance Marketing, IT in Business, Managemen, Agricultural, Sciences, Archeology, Astrobiology, Biochemistry, Biodiversity and Conservation, Bioinformatics, Biological Sciences, Biology, Biotechnology, Developmental Biology, Ecology, Entomology, Environmental Science, Evolutionary Biology, Genetics, Histology, Ichthyology, Immunology, Life Sciences, Limnology, Malacology, Marine Sciences, Microbiology, Molecular Biology, Neuroscience, Paleontology, Physiology, Quantum Biology, Structural Biology, System biology, Theoretical Biology, Toxicology, Virology, Zoology, Health Sciences, Bariatrics, Modern Banking, Anesthesiology etc.
  • Language English
  • Format Online
  • Starting Year 2026
  • Publisher CS Publisher
  • Origin India

Aim and Scope

''Corpus Scientific Journal of Multidisciplinary and Innovation" is a peer-reviewed academic journal dedicated to the dissemination of innovative and high-quality research across a wide range of disciplines. With a focus on fostering interdisciplinary collaboration, the journal serves as a platform for original research, reviews, case studies, and theoretical contributions from fields such as science, engineering, social sciences, humanities, technology, business, and more. The journal aims to bridge the gap between academic disciplines, providing a comprehensive understanding of complex issues through diverse perspectives and methodologies. By promoting rigorous analysis and evidence-based findings, the Corpus Scientific Journal of Multidisciplinary and Innovation strives to contribute to the advancement of knowledge and offer solutions to real-world challenges.

Subject Areas / Domain / Departments:

🔹 Life Sciences & Biological Sciences

Agricultural Sciences, Biology, Biochemistry, Biotechnology, Bioinformatics, Astrobiology, Biodiversity and Conservation, Developmental Biology, Ecology, Environmental Sciences, Evolutionary Biology, Genetics, Histology, Immunology, Limnology, Marine Sciences, Microbiology, Molecular Biology, Neuroscience, Paleontology, Physiology, Structural Biology, Systems Biology, Toxicology, Virology, Zoology, Entomology, Malacology.

 

🔹 Medical & Health Sciences

Health Sciences, Public Health, Preventive Medicine, Nursing, Pharmacy, Pharmacology, Pathology, Radiology, Anesthesiology, Dermatology, Emergency Medicine, Family Medicine, General Practice, Hematology, Infectious Diseases, Kinesiology, Laboratory Medicine, Medical Physics, Dentistry, Nutrition and Metabolism, Oncology, Ophthalmology, Otolaryngology, Psychiatry, Surgery, Urology, Veterinary Medicine, Veterinary Sciences, Siddha & Ayurveda.

 

🔹 Physical Sciences & Mathematical Sciences

Physics, Chemistry, Mathematical Sciences, Statistical Sciences, Applied Mathematics, Astronomy, Earth and Planetary Sciences, Quantum Biology, Theoretical and Physical Sciences.

 

🔹 Engineering & Technology

Civil Engineering, Mechanical Engineering, Electrical Engineering, Electronics Engineering, Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, Robotics, IoT, Engineering and Technology, Chemical Engineering, Environmental Engineering, Materials Science, Renewable Energy and Computational Sciences.

 

🔹 Social Sciences & Humanities

Arts and Humanities, English Literature, Hindi Literature, Sanskrit Literature, History, Philosophy, Linguistics, Languages, Political Science, Sociology, Psychology, Geography, Religion Studies, Cultural Studies, Law, Education and  Physical Education.

 

🔹 Business, Management & Economics

Business Administration, Business Management, Economics, Finance, Accounting, Banking, Marketing, Human Resource Management, Entrepreneurship, Tourism Management, Hotel Management, E-Commerce, Business Analytics, Strategic Management, Operations Management, Insurance, Income Tax, Business Law and International Business.

 

🔹 Interdisciplinary & Emerging Areas

Decision Science, Earth and Planetary Sciences, Sustainable Development, Climate Change Studies, Urban Studies, Public Policy, Innovation Studies, Development Studies, Disaster Management, Behavioral Sciences, Management Information Systems, Digital Transformation, Smart Technologies and other interdisciplinary fields.

Recent Articles

Research Article

Explainable AI-Based Financial Fraud Detection Using Big Data Analytics: A Transparent and Adaptive Machine Learning Framework

Corpus Scientific Journal of Multidisciplinary and Innovation

Authors Ritu Akter1, Atia Anika Tisha2, Md. Najim Hossen3, Mehedi Hasan*4, Tasrif Ahamed Sabid5

Financial fraud is costly, causes significant economic losses and undermines confidence in the digital payment systems, while the best machine learning models for detection tend to be opaque and fail when fraudster activity shifts. In this study, we canvass a...

DOI https://doi.org/10.5281/zenodo.24221256 Pages 1-11
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