Volume 3, Issue 9 (September 2024)
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # i-i, 2024
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # i-i, 2024
by ABCÂ and DEF
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # i-i, 2024
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # i-i, 2024
by Usman Asghar, Syed Zulqadar Hassan, Muhammad Ahmed, Arsalan Masood, Muhammad Naqi Raza and Tariq Kamal
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 1-15, 2024; DOI:Â 10.55708/js0309001
Abstract: The current scenario of Pakistan’s power sector stipulates the financial and technical viability of the utility companies to meet the escalating demands for electricity. Financial resources are required for the generation of electricity; which Pakistan cannot afford in the present situation. Pakistan have a huge potential for renewable energy resources; different areas across the country have a good irradiation value of solar energy. Through distributed generation arrangement, electricity can be generated near the consumer, e.g., a solar panel array or a small wind turbine, so that line losses of the distribution system decrease and voltage drop can be improved, and customers can also benefit through investing in DGs. … Read More
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Biochemical Research Methods (BRM))
by Muhammad Yaqub and Lan He
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 16-25, 2024; DOI:Â 10.55708/js0309002
Abstract: The use of artificial intelligence in clinical trials opens the way for a period of transformation in which the potential to enhance efficiency, precision, and scope in clinical investigation is enormous. In this perspective, the promise and perils of AI regarding clinical trials are critically reviewed. On one hand, it’s where AI can really make some revolutionary changes to the most critical aspects of trial design and execution—like patient recruitment, data management, and predictive analytics—which are now adaptive and more driven by data; on the other hand, AI applied in clinical trials also brings considerable problems related to data integrity, ethical considerations, and regulatory compliance…. Read More
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Biochemical Research Methods (BRM))
by Diptadip Maiti, Madhuchhanda Basak and Debashis Das
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 26-60, 2024; DOI:Â 10.55708/js0309003
Abstract: As documented in recent research, this reviewoffers a thorough examination of the intricate subject of fingerprint authentication, including a wide range of issues and applications. Addressing problems like non-linear deformations and enhancing picture quality, which are frequently reduced by sophisticated improvement and alignment techniques are important components of fingerprint image authentication. Countering security concerns such as spoofing is a major focus of Automated Fingerprint Identification Systems and necessitates the use of sophisticated cryptographic techniques and liveness detection. In order to accomplish speedier identification processes, the paper emphasizes the advancements made in fingerprint indexing and retrieval, with a focus on deep learning technologies and minutiae-based methodologies….. Read More
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Biochemical Research Methods (BRM))
by Tinghao Feng, Sophie Columbia, Christopher Campell and Rahman Tashakkori
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 61-74, 2024; DOI:Â 10.55708/js0309004
Abstract: Honey bee health is crucial for global ecosystems, but traditional data analysis methods often struggle to capture the complex interplay between bee behavior and environmental factors. To bridge this gap, we developed HivePool, a novel data visualization and analysis tool designed to empower beekeepers and researchers with deeper insights into these interactions. This paper explores HivePool’s functionalities, focusing on its interactive visualizations and innovative time-oriented pattern recognition for event prediction. ….. Read More
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Biochemical Research Methods (BRM))
