https://www.ijecer.org/ijecer/issue/feed 2025-03-15T22:17:48+03:00 Yunus Uzun yunusuzun38@hotmail.com Open Journal Systems <p>International Journal of Electrical and Computer Engineering Research (IJECER) is an academic journal that publishes research articles and review articles emerging from theoretical and experimental studies in all fields of electrical and computer engineering. IJECER is an open access, free publication and peer-reviewed journal. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. In addition, there is no APC fee. In order for the articles submitted to the journal to be evaluated, they should not have been published elsewhere before and the similarity rate should be less than 20%. <br />The main aim of IJECER is to publish quality original scientific papers and bring together the latest research and development in various fields of science and technology related electrical and computer enginerring. IJECER is published quarterly a year, in March, June, September and December. Permanent links to published papers are maintained by using the Digital Object Identifier (DOI) system by CrossRef.</p> <p>The topics related to this journal include but are not limited to:</p> <table border="0" width="100%"> <tbody> <tr> <td>Electrical engineering<br />Computer engineering<br />Electronics engineering<br />Biomedical engineering<br />Mechatronics engineering<br />Electrical energy and power<br />Internet of things emerging technologies<br />Internet technologies, and smart devices<br />Computer science and information technology<br />Artificial intelligence and soft computing<br />Computational science and engineering<br />Big data and cloud computing<br />Signal, image and speech processing<br />Networking and the internet</td> <td>Pattern recognition<br />Renewable energy<br />Algorithms and applications<br />Green technologies in information<br />Circuits and electronics<br />Power electronics and drives<br />Wireless sensor network<br />Computer software engineering<br />Communications and wireless networks<br />Sensors and actuators<br />Computer vision and robotics<br />Embedded systems<br />Radar and sonar systems<br />Robotics</td> </tr> </tbody> </table> https://www.ijecer.org/ijecer/article/view/433 2025-02-16T12:03:19+03:00 Protyush Aditya Singha singhaprotyusha@gmail.com Mohammad Kamruzzaman Khan Prince kamruzzaman-eee@sust.edu

<p>In Bangladesh, agricultural yields heavily depend on groundwater and traditional irrigation methods, creating dire water scarcity problems and energy inefficiency. The Photovoltaic Integrated Control System (PICS) has been developed as part of this research work to address this issue. As a sustainable irrigation model, the PICS optimizes resource consumption via renewable energy integration and intelligent automation using a quantitative and qualitative approach. The design of PICS is based on photovoltaic panels, Maximum Power Point Tracking (MPPT) technology, and fuzzy logic controllers, which means adjusting directly to weather conditions, soil moisture, temperature, and reservoir levels. Experimental results presented in the paper show that the PICS system saves up to 28.4 percent of water during operation and 53.56 percent in motor power consumption compared with the existing alternatives. These results underscore the potential for the model to aid in resolving groundwater depletion and enhancing energy efficiency. Additionally, integrating solar energy into the PICS enhances sustainability by reducing greenhouse gas emissions. By combining renewable energy with automation, PICS offers farmers an innovative and transformative approach to irrigation, enabling more efficient and environmentally friendly agricultural practices. Its scalability and adaptability across diverse environments, along with its ability to mitigate climate-related challenges and optimize resource utilization, position it as a highly promising solution for advancing agricultural sustainability on a global scale.</p>

2025-03-15T00:00:00+03:00 Copyright (c) 2025 International Journal of Electrical and Computer Engineering Research https://www.ijecer.org/ijecer/article/view/437 2025-03-12T17:10:58+03:00 Asifiqbal Saiyed a.saiyeds@gmail.com

<p>Integrating Artificial Intelligence (AI) and Machine Learning (ML) in fintech has revolutionized trading, risk management, fraud detection, and regulatory compliance. AI-driven automation enhances efficiency, while predictive analytics improves market forecasting and decision-making. Case studies demonstrate significant transformations in financial institutions, reducing operational costs and increasing accuracy. However, challenges such as data security, model interpretability, and bias remain critical concerns. This paper explores the impact of AI and ML in fintech, analyzing their benefits, limitations, and future implications for practitioners and regulators. Recommendations for improving AI transparency and regulatory adaptability are also discussed.</p>

2025-03-15T00:00:00+03:00 Copyright (c) 2025 International Journal of Electrical and Computer Engineering Research