https://hmjournals.com/ijaap/index.php/JIPIRS/issue/feed 2025-12-16T09:02:50+00:00 Editor in Chief editor.jipirs@gmail.com Open Journal Systems <p>The<strong> Journal of Image Processing and Intelligent Remote Sensing (JIPIRS) havining</strong> <strong>ISSN 2815-0953</strong> is a Double Blind, Peer-reviewed, open access journal that provides publication of articles in all areas of Image Processing, Pattern Recognition, Remore Sensing and related disciplines. The objective of this journal is to provide a veritable platform for scientists and researchers all over the world to promote, share, and discuss a variety of innovative ideas and developments in all areas of Image Processing,Pattern Recognition, and Remore Sensing<strong>.</strong></p> https://hmjournals.com/ijaap/index.php/JIPIRS/article/view/5863 2025-11-06T10:44:12+00:00 Awaz Ahmed Shaban Saman.Almofty@gmail.com Saman M. Almufti Saman.Almofty@gmail.com Renas Rajab Asaad Saman.Almofty@gmail.com Rasan Ismael Ali Saman.Almofty@gmail.com

<p>The Firefly Algorithm (FA) is a nature-inspired, population-based metaheuristic developed by Xin-She Yang in 2007 that mimics the flashing behavior of fireflies. This paper presents an in-depth investigation of the Firefly Algorithm, beginning with its biological inspiration and mathematical formulation, and proceeding to a comprehensive discussion of its diverse applications across engineering, image segmentation, scheduling, and other domains. In addition, various modifications of the original FA including Gaussian variants, chaotic variants, and opposition- and dimensional-based improvements are reviewed and compared. Two detailed tables summarize the primary applications and modifications, respectively, while discussions highlight the trade-offs between exploration and exploitation inherent in the algorithm. The paper concludes with an analysis of current achievements and future research directions in firefly-based optimization techniques.</p>

2025-11-06T00:00:00+00:00 Copyright (c) 2025 Awaz Ahmed Shaban, Saman M. Almufti, Renas Rajab Asaad, Rasan Ismael Ali https://hmjournals.com/ijaap/index.php/JIPIRS/article/view/5939 2025-12-16T09:02:50+00:00 Jeff Dacosta Osei jeffdacosta.osei@subr.edu Yaw A. Twumasi yaw_twumasi@subr.edu Zhu. H. Ning zhu_ning@subr.edu Desmond Karikari Osei oseidesmond285@gmail.com Kingsford Kobina Annan kingsford.annan@subr.edu

<table width="885"> <tbody> <tr> <td width="581"> <p>&nbsp;</p> <p>Water scarcity and efficient water resource management are growing concerns in the face of climate change and increasing demands for freshwater. This study focuses on assessing ecosystem water-use efficiency by investigating the ratio of Gross Primary Productivity (GPP) to evapotranspiration within Ghana. The study sought to explain the interactions of vegetation productivity and water use, shedding new light on the efficient use of this precious resource. The current research provides an extensive analysis of the Ecosystem Water-Use Efficiency (WUE) in Ghana, using satellite remote sensing images to map water-stressed regions throughout the country. A spatial analysis by us found that a large area of Ghana, spanning 4090750Ha, had low WUE levels in evidence, typical of water-stressed ecosystems. Of notable interest, the Upper West and Savannah regions had the greatest cover of water-stressed vegetation of 605650Ha and 1263150Ha, respectively, in the grasslands, and the Bono region had a dominance of water stress in the Savana land use category. The OTI region had a special case, wherein both Savannas and riverine vegetation were prone to water stress. These observations highlighted the importance of region-specific, target-led interventions to boost water-use efficiency, conserve ecosystems, and adopt water resource management practices in Ghana.</p> </td> </tr> </tbody> </table>

2025-11-07T00:00:00+00:00 Copyright (c) 2025 Jeff Dacosta Osei, Yaw A. Twumasi, Zhu. H. Ning, Desmond Karikari Osei, Kingsford Kobina Annan