International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence https://ojs.ijemd.com/index.php/ComputerScienceAI <p>International Journal of Emerging Multidisciplinaries: Computer Science &amp; Artificial Intelligence (IJEMD-CSAI) publishes research and review articles in the areas of theoretical and experimental studies in all fields of CS and AI. IJEMD-CSAI is an open access, free publication and peer-reviewed journal. Subscribed users can read, download, copy, distribute, print, search, or link to the full texts of the articles. Furthermore, there is no Article Processing Charges (APC) for publication of research articles. Authors must submit articles that have not been published elsewhere with a similarity index of less than 20%. </p> <p>The goal of IJEMD-CSAI is to publish original quality research papers that bring together the latest research and development in all areas of CS and AI. IJEMD-CSAI is published based on Continuous Article Publication (CAP) model. All research articles are indexed through unique links using the Digital Object Identifier (DOI) system by CrossRef. Estimated publication timeframe is within 2-4 months.</p> Publishing House International Enterprise en-US International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence 2791-0164 IoT-based Smart Farming System https://ojs.ijemd.com/index.php/ComputerScienceAI/article/view/270 <p>The integration of Internet of Things (IoT) technologies into agricultural operations, known as smart farming, presents a transformative opportunity to revolutionize traditional farming methodologies and bolster productivity, efficiency, and sustainability within the agricultural sector. This paper investigates the challenges inherent to conventional farming practices, such as inefficient resource utilization and inadequate access to real-time data to inform decision-making. By leveraging an array of IoT sensors and devices are utilized for the purpose of gathering up-to-date information on various aspects such as environment factors and animal natural&nbsp;behaviors, agricultural producers can gain actionable insights, facilitating data-driven decision-making to optimize resource usage and enhance crop yields. The primary objectives of this study encompass enabling automation and precision agriculture to mitigate waste and bolster productivity, while concurrently emphasizing remote monitoring and control capabilities through mobile technologies to augment overall operational efficiency and crop quality. The background underscores the critical importance of integrating IoT technologies into agricultural practices to streamline farm management processes, reduce labour requirements, and increase profitability across all scales of agricultural operations. Through the implementation of IoT-enabled smart farming solutions, this paper <em>endeavors</em> to bridge the divide between advanced technology and practical agricultural needs, offering a cost-effective and user-friendly approach to modernizing farming methodologies.</p> Yan Sen Tan Li Wei Chew Yi Xuen Tan Sean Zhuang Tan Copyright (c) 2024 International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence https://creativecommons.org/licenses/by/4.0 2024-04-30 2024-04-30 3 1 10.54938/ijemdcsai.2024.03.1.270 Telehealth Monitoring System for Chronic Disease Management https://ojs.ijemd.com/index.php/ComputerScienceAI/article/view/271 <p>This project introduces a carefully crafted remote health monitoring solution to support chronic illness management in response to the changing healthcare environment. The use of cutting-edge microcontroller technology, the foundation of this all-inclusive solution, is at the core of this breakthrough. Because of the system's ability to operate beyond regional boundaries, users can manage chronic illnesses proactively. The approach promises real-time data capture and communication by seamlessly integrating microcontrollers into the monitoring process, enabling patients and healthcare practitioners alike. This project is a paradigm shift in healthcare, utilizing technology to provide continuous, tailored, and accessible monitoring for improved health and better chronic illness management.</p> Al Amin Mohamad Fayyadh bin Abdul Aziz Dinesh A/L K. Devaendran Tan Yung Eun Alysha Yasmine Binti M Yahya Copyright (c) 2024 International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence https://creativecommons.org/licenses/by/4.0 2024-04-30 2024-04-30 3 1 10.54938/ijemdcsai.2024.03.1.271 Integrating Smart Technologies and Mobile Applications to Enhance Shopping Mall Parking Experience https://ojs.ijemd.com/index.php/ComputerScienceAI/article/view/267 <p>Several studies found that Malaysian shopping malls have reported that traffic issues happen when entering malls. We have found out that the traditional car parking system is not fully utilised with advanced technologies. Here, we come out with a smart parking system called Smart Park. Smart Park is the evolution of the car parking system by integrating traditional parking systems, IoT devices and mobile applications together. Smart Park is important as it can overcome the traffic issue happening in car parks in Malaysian shopping malls. The goal of this study is to find a solution to save customers ‘time and enhance customers’ parking experience before entering the mall. We aim to solve public issues of wasting time in finding car parking in shopping malls and using advanced technologies to overcome the issues.</p> <p> </p> Luwe Li Long Juhwan Lee Chan Shin Yee Eng Ee Shen Bryan Lok Yi-Jie Copyright (c) 2024 International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence https://creativecommons.org/licenses/by/4.0 2024-03-30 2024-03-30 3 1 10.54938/ijemdcsai.2024.03.1.267