About the Journal

Stallion Journal for Multidisciplinary Associated Research Studies (SJMARS) is an Online, Double-Blind, Peer-Reviewed and Bi-Monthly Journal, focusing on theories, methods and applications in all the fields like: Biology, Biology (Comparative Antomy), Engineering, Management, Social Science, Arts and Humanities, Soport Science, Psychology, Philosophy, Library Science, English Literature, English Language Study, Applied Sciences, Human Biology, Cell Biology and Biological Systems, Chemistry, Structural Biochemistry, Biological Chemistry, Plant Science, Animal Science, Veterinary Medicine, Zoonotic Diseases, Comparative Anatomy, Microbiology, Protein Science, Molecular Genetics, Metabolism, Immunology, Physical Chemistry, Organic Chemistry, Environmental Microbiology, Genomics and Bioinformatics, Food Microbiology, Physics, Mathematics, Biology, Botany, Micro-Biology, Zoology, Food Technology, Science, Pharmaceutical Sciences, Physiology, General Medicine, Industrial Engineering, Astrophysics, Computer Science, Business Informatics, Forensics, Chemistry, Computer Technology, Mathematics, Economics, Workplace Safety, Dentistry, Ultrasound, Radiations, Biotechnology, Nursing, Ophthalmology, Gynecology and Obstetrics, Optics, Laser Physics and Pediatric.

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Current Issue

Vol. 3 No. 6 (2024): December Issue
View Vol. 3 No. 6 (2024): December Issue
Published: 2024-12-01

Articles

  • Enhancing Business Process Efficiency through SAP BW4HANA in Order-to-Cash Cycles

    Abhijeet Bhardwaj, Narender Yadav, Jay Bhatt, Om Goel, Prof. (Dr) Punit Goel, Prof. (Dr.) Arpit Jain
    1-20
    DOI: https://doi.org/10.55544/sjmars.3.6.1

  • Role of SAP Order Management in Managing Backorders in High-Tech Industries

    Nagender Yadav, Rohan Viswanatha Prasad, Rajkumar Kyadasu, Om Goel, Prof. (Dr.) Arpit Jain, Prof. (Dr.) Sangeet Vashishtha
    21-41
    DOI: https://doi.org/10.55544/sjmars.3.6.2

  • Machine Learning Applications in Life Science Image Analysis: Case Studies and Future Directions

    Jay Bhatt, Smita Raghavendra Bhat, Hrishikesh Rajesh Mane, Dr. Priya Pandey, Dr S P Singh, Prof. (Dr) Punit Goel
    42-64
    DOI: https://doi.org/10.55544/sjmars.3.6.3

  • Automated Chargeback Management: Increasing Win Rates with Machine Learning

    Pradeep Jeyachandran, Rafa Abdul, Sanyasi Sarat Satya, Niharika Singh, Om Goel, Kshun Chhapola
    65-91
    DOI: https://doi.org/10.55544/sjmars.3.6.4
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