ASRIC Journal of Engineering Sciences 2025 v5-i2
ISSN: 2795-3548
EISSN: 2795-3548
ASRIC Journal of Engineering Sciences 2025 v5-i2
ASRIC Journal of Engineering Sciences 2025 v5-i2
Published: 2025-12-31
Articles
Remote Sensing of Chlorophyll-A Concentrations in a Water Hyacinth-Infested Tropical Headwaters Lake: A Study of Lake Tana, Ethiopia
Bekalu W. Asres, Mebrahtom G. Kebedew, Meareg D. Neraec, Seneshaw Tsegaye*, Fasikaw A. Zimale
Intensified agriculture practices contribute to nutrient enrichment in freshwater lakes, causing eutrophication, algal blooms, and water hyacinth infestations. Eutrophication in Lake Tana, the source of the Blue Nile in Ethiopia, necessitates effective monitoring due to rapid infestation of water hyacinths. While traditional monitoring is costly and limited in spatial and temporal coverage, remote
Engineering and Analysis of Ai-Driven Systems Utilizing Deep Learning and Natural Language Processing Models for Biomedical Data Handling
Emmanuel, Victoria Nkemjika
This paper explores the role of AI-driven systems utilizing deep learning and natural language processing (NLP) models in biomedical data handling. The aim is to enhance the efficiency, accuracy, and scope of data analysis in biomedical research and healthcare delivery. Despite their transformative potential, the deployment of these AI systems faces several challenges, including data integration,
Multi-Compartment PFAS Contamination and Risk Profiling in Kampala’s Urban Hydroscape: A Pre-Collapse Study of Kitezi, Lubigi, and Murchison Bay
Michael Ahimbisibwe, Patrick Ssebugere*, Christine Betty Nagawa, Henry Matovu, Godfrey Muhwezi, Prossie Nakawuka, Isa Kabenge, Ahamada Zziwa
Per- and polyfluoroalkyl substances (PFAS) have emerged as persistent pollutants of growing concern in urban hydrological systems. This study quantified PFAS concentrations across three environmental matrices open surface water bodies, landfill leachate from Kitezi, and Lubigi wetland treatment zones in central Uganda. Using liquid chromatography tandem mass spectrometry (LC-MS/MS), concentrations
Exploring the Fiscal of Wood-Based Renewable Biomass as an Energy Source
Nnadikwe Johnson, Onyewudiala Julius Ibeawuchi, Nwosi Hezekiah Andrew, Mbadikwe Columbus Asodike, Onwukwe Cajetan Ndubuisi
In Nigeria, the adoption of sustainable biomass for energy generation is rising. Moisture content significantly impacts biomass utilization efficiency. This study investigates the economic impact of moisture at different stages of the wood biomass distribution chain. The methodology includes a literature review, interviews, and economic calculations. The costs associated with moisture content in N
Issues
