International Journal of Applied Sciences: Current and Future Research Trends https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal <p style="text-align: justify;">The International Journal of Social Sciences: Current and Future Research Trends (IJSSCFRT) is an open access International Journal for scientists and researchers to publish their scientific papers in Social Sciences related fields. IJSSCFRT plays its role as a refereed international journal to publish research results conducted by researchers.</p> <p>This journal accepts scientific papers for publication after passing the journal's double peer review process within 4 weeks. For detailed information about the journal kindly check <a title="About the Journal" href="https://ijsscfrtjournal.isrra.org/index.php/Social_Science_Journal/about">About the Journal</a> page. </p> <p style="text-align: justify;">All IJSSCFRT published papers in Social Sciences will be available for scientific readers for free; no fees are required to download published papers in this international journal.</p> <p style="text-align: justify;"> </p> Mohammad Nassar for Researches (MNFR) en-US International Journal of Applied Sciences: Current and Future Research Trends 2790-3990 <p style="text-align: justify;">Authors who submit papers with this journal agree to the <a title="Copyright_Notice" href="https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/Copyright_Notice" target="_blank" rel="noopener">following terms.</a></p> A Paradigm for Object Detection to Recognize and Classify Vehicles Using Computer Vision https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1482 <p>Computer vision has emerged as a game-changing technology in the mining industry, revolutionizing operations and unlocking various use case scenarios. With increased trade facilities, ports are recognized as one of the most diligent work environments globally. The applications of machine learning and computer vision in ports offer improved security, efficient container management, intelligent traffic management, predictive maintenance, automated operations, and environmental monitoring. These advancements contribute to streamlined processes, cost reduction, enhanced safety, and overall optimization in port environments. This study proposes an approach to detect and classify vehicles in a port during the wintertime in Finland using computer vision and machine learning methods. Due to the high variability between seasons, particularly winter and summer in Finland, there might be a need to categorize images by time of year. The study is developed as a model to detect and classify vehicles in the port area, and the port used in the study acts as an international hub for various trades and industries, including but not limited to chemistry and mining.</p> Ville Pitkäkangas Heikki Kaakinen Tom Tuunainen Olli Isohanni Mitha Jose Copyright (c) 2025 2025 https://creativecommons.org/licenses/by-nc-nd/4.0 2025-04-08 2025-04-08 23 1 1 20 Impact of Biochare and Mycorrhizal Fungus Glomus sp. as Biofertilizer on Phaseolus vulgaris Plant Growth https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1506 <p>The study aimed to determine the effect of different concentrations of biochare and there interaction with the mycorrhizal fungus <em>Glomus mosseae</em> growth of <em>Phaseolus vulgaris</em> plant cultivated in plastic pots. The results showed a significant increase in the vegetative growth parameters of green bean plants ,The interaction treatment between mycorrhizal fungi and the addition of 3% of biochare achieved the highest average plant height which was 39.13 cm compared control treatment which was 30.90 cm . The highest average number of leaves was in the treatment of mycorrhizal fungus interaction with 1% biochare, which was 17.33 leaves.plant-1, The treatment of mycorrhizal fungi interacting with 3% biochare significantly outperformed the rest of the treatments and recorded 14.94 gm in fresh shoot weight ,The interaction treatment of mycorrhizal fungus with 3% biochare significantly outperformed the rest of the treatments, as it recorded a dry weight of 2.540 gm ,as for the control treatment, it recorded the lowest dry weight of the green mass, which was 1.487 gm.Treatment of mycorrhizal fungus and 1% biochare interaction achieved the highest increase in root length, which was 63.8 cm. The treatment of mycorrhizal fungus interaction with 3% Biochare significantly outperformed the rest of the treatments, as it recorded a root fresh weight of 28.36 gm, treatments of mycorrhizal fungus with 3% biochare recorded a significant increase in the average dry weight of the root compared to the rest of the treatment and was 2.257 gm compared to the control treatment which recorded the lowest average dry weight of the root and was 0.897 gm.</p> Rabab Majead Abed Salam Rahim Yosif Copyright (c) 2025 International Journal of Applied Sciences: Current and Future Research Trends https://creativecommons.org/licenses/by-nc-nd/4.0 2025-05-20 2025-05-20 23 1 51 62 MXenes in Gas Sensing https://ijascfrtjournal.isrra.org/index.php/Applied_Sciences_Journal/article/view/1508 <p>An extensive review of the history and current status of MXene-based gas sensors is presented here. The unusual electrical, optical, and mechanical features of MXenes, a novel family of two-dimensional transition metal carbides and nitrides, have garnered a lot of attention in recent years. These properties make MXenes highly promising materials for various applications, including gas sensing. This review examines various strategies used to enhance the performance of MXene-based gas sensors, including surface modification, hybridization with other materials, and device design. A detailed analysis of the sensing mechanism and the factors that influence the sensing performance is also presented. The authors also address the challenges and limitations MXene-based gas sensors face, including low stability and sensitivity, poor selectivity, and limited applicability to different gas types. They highlight the need for further research to overcome these limitations and enhance the sensing performance. The review provides valuable insights into the potential and limitations of MXene-based gas sensors and serves as a useful reference for researchers and engineers working in the field. This study is concluded by highlighting the future directions and opportunities for further development of MXene-based gas sensors. </p> Vir Gogia Aarav Doshi Aamir Akbar Khan Sananjay Biswas Copyright (c) 2025 International Journal of Applied Sciences: Current and Future Research Trends https://creativecommons.org/licenses/by-nc-nd/4.0 2025-05-09 2025-05-09 23 1 21 50