Daily Archives: November 6, 2025

Authors: Keerti Pal, Prof. Jayshree Boaddh, Prof. Rahul Patidar

Abstract: Product Sales Dataset is a comprehensive collection of sales data for a wide range of products available on the E-commerce e-commerce platform. This kind of dataset provides invaluable insights into customer behavior, product performance, and market trends, making it an essential resource for data analysis, market research, and business strategy development. This dataset is indispensable for market research, allowing businesses to discern market trends, consumer preferences, and competitive landscapes. This paper presents a comprehensive approach to customer behavior analysis and predictive modelling within the context of supermarket retail. This paper finds techniques that extract patterns in shopping data for the learning and prediction of user preference. This work list different proposed models with techniques. Paper has list various evaluation parameters of user purchase prediction models.

DOI: http://doi.org/10.5281/zenodo.17542512

Published by: vikaspatanker

Authors: Nweke James, Emenike Wami, Awajiogak Anthony Ujile, T.O. Goodhead

Abstract: This study evaluates biodiesel production from water hyacinth (WH) via transesterification, highlighting its potential as a sustainable renewable energy source. Lipids were extracted from WH using Soxhlet and maceration methods, yielding modest oil content. Five methanol-to-oil molar ratios (4:1, 5:1, 6:1, 7:1, 8:1) were tested, with the 6:1 ratio in combination with a NaOH catalyst producing the highest biodiesel yield of 88.21%. The biodiesel obtained exhibited a cetane number of 57.66, meeting ASTM D6751 standards and indicating excellent ignition quality suitable for high-efficiency diesel engines. Kinetic modelling. of the transesterification reaction was conducted to determine rate constants and conversion efficiencies, providing critical data for process optimization and scale-up. Using Python 3.11 with the Levenberg–Marquardt algorithm, the kinetic model closely fitted the experimental data, enabling accurate prediction of reaction progress and substrate conversion. These results demonstrate that water hyacinth is a viable feedstock for biodiesel production, offering both energy recovery and environmental management benefits. The study provides validated operational parameters and kinetic insights for the development of cost-effective, scalable biofuel production from aquatic biomass.

DOI: https://doi.org/10.5281/zenodo.17542202

 

Published by: vikaspatanker

Authors: Pradeep Kumar Jaiswal, Rakesh Kumar Yadav, Manish Kumar Tiwari

Abstract: The study is based on the analysis of drinking water parameters in an Educational institute situated in BHOHAPARA area, jajngir champa C.G. In this paper, different authors’ papers are summarized on water analysis and their treatment processes in different region, which is helpful to know the different treatment processes and parameters used in the study.

 

Published by: vikaspatanker

Authors: Ms. Dhivya, Dhanushya S, Akash S, Bharath Raj P, Mathan Kumar J

Abstract: The shortage and inefficient management of blood resources often lead to life-threatening delays in critical situations. To address this challenge, the Smart Blood Bank and Donor Locator Website has been developed as an integrated, intelligent web-based system that connects donors, hospitals, and recipients under one unified digital platform. The system uses SQLite databases for storing donor, hospital, stock, and request information efficiently. By integrating Google Maps API, it enables real-time location tracking and the display of nearby donors and hospitals based on blood group compatibility. Email notifications powered by Brevo are automatically triggered for key events such as donor registration, request confirmation, stock updates, and periodic reminders after three months for eligible donors. The multilingual support feature powered by Google Translate API ensures accessibility to users across various linguistic backgrounds. The system aims to create a digital ecosystem for managing blood donation, enhancing communication between hospitals and donors, and promoting awareness about blood donation in an efficient, transparent, and user-friendly manner. Future integration of IoT-based sensors for blood storage monitoring can further enhance the intelligence and automation of the system

DOI: http://doi.org/10.5281/zenodo.17538993

Published by: vikaspatanker