Privacy-Preserving Computing Protocols that Protect the Inputs of All Participants M.D.Kulkarni Shweta Anagunde Varsha Sri Volume 2, Issue 1, Pages 1-8, January 2025 This paper focuses on the analysis of cryptographic protocols that allow two or more parties to compute functions of their shared inputs without exposing those inputs in their original form. This is a fundamental element of SMPC. Thanks to the security achieved by protecting data during computations, SMPC allows participants to perform computations while protecting the data. It is used in are... Read More Article DOI: doi.org/10.47001/CJESR/2025.201001
An Automated Comprehensive Machine Learning Pipeline for Predicting Wine Quality Dewa Rudy Jatayu Volume 2, Issue 1, Pages 9-14, January 2025 Deploying machine learning (ML) models in production environments can be fraught with challenges, primarily due to the complexity of workflows, the necessity for seamless integration, and the requirement for scalability. This research introduces a thorough approach to overcoming these obstacles by merging Machine Learning Operations (MLOps) principles with the computational capabilities and f... Read More Article DOI: doi.org/10.47001/CJESR/2025.201002
Advancing the Quality of Chest X-Ray Images to Support Better Classification Outcomes Utilizing Convolutional Neural Networks Maiyanga K.A. O.J.Oluwale Oluguwasen M.O. Volume 2, Issue 1, Pages 15-18, January 2025 The role of medical imaging is pivotal in the diagnosis of numerous diseases, particularly respiratory conditions. However, noise artifacts, including salt-and-pepper noise and Gaussian noise, can significantly impair the quality of chest X-ray (CXR) images, potentially resulting in misdiagnoses. This research aims to improve CXR images by employing noise removal techniques followed by histog... Read More Article DOI: doi.org/10.47001/CJESR/2025.201003
The Latest Developments and the Rise of Emerging Technologies in the Banking Sector in India Binnu John Mathew George David M Varghese Anu Joseph Volume 2, Issue 1, Pages 19-22, January 2025 The Indian banking sector has achieved remarkable technological progress in the past twenty years and has been an important taxpayer for the nation's economic growth. In this document, the current development and the panorama technological innovations within the Indian banks examine and emphasizes the digital transformation, emerging technologies and obstacles that have been determined during... Read More Article DOI: doi.org/10.47001/CJESR/2025.201004
Utilizing Deep Learning Techniques for the Automated Diagnosis and Management of Diseases Affecting Wheat Plants Caroline Nyambura Stephen Lawrence Everlyne Nzisa Volume 2, Issue 1, Pages 23-28, January 2025 The need for automated diagnosis and management of wheat plant diseases is increasingly recognized by agricultural professionals. Accurate identification of foliar diseases in wheat is essential for effective crop management strategies. This research introduces the Wheat Leaf Convolutional (WLC) model, an enhancement of the VGG16 architecture, aimed at detecting and classifying six distinct t... Read More Article DOI: doi.org/10.47001/CJESR/2025.201005
