journals

Abstract This paper India delves into the dynamic field of object detection in computer vision and image processing, specifically focusing on recognizing individuals in photographs. Employing the OpenCV library, the study employs two distinct approaches: the first utilizes Haar Cascade Classifiers, a straightforward yet effective method for object detection, particularly well-suited for person recognition. The […]

Abstract This research aims to analyze the requirements of a Learning Object Repository model for scientific writing instruction in higher education from the student’s perspective. The employed method is a descriptive survey research design, with a sample of 136 students from a Buddhist Higher Education institution. The research instrument utilizes a questionnaire, and data analysis

Abstract In the pursuit of advancing precision therapy for lung cancer, this study explores the repositioning potential of a FDA approved methotrexate derivative, with a specific focus on its interaction with the Dihydrofolate Reductase (DHFR) enzyme. Leveraging transcriptomic insights and structural integration, our research employs a multifaceted approach, encompassing drug-drug similarity analysis and cavity-guided blind

Abstract The purpose of this study was to develop an indigenous brief scale of Machiavellianism among working population. Initially, a pool of 70 items was generated which was formed through focused discussion with a group of some randomly working people. Furthermore, their verbatim was compiled and phrases and with that three domains were formed. Again,

Abstract Knowledge sharing is one of the contemporary and emerging HRM topics that has attracted much research; it is one of the stages of competence management, which is considered a valuable working tool in the company and strategy. The main objective of this study is to examine the relationships between human resource management (HRM) practices

Abstract The present study employs the VOS Viewer software to conduct a bibliometric analysis on lane departure research. 1424 articles from the Scopus core database spanning 1968 to 2023 were analyzed. This study aims to comprehensively examine the progression, trends, and key contributors in lane departure research. The methodology employed in this study encompasses a

Abstract As the global energy market is growing rapidly, global warming and concern towards the energy crisis is an issue to address in the modern energy market. Addressing these issues by balancing the peak power shifting on real time in micro grids. This paper discusses about an intelligent multi-agent-based system, which allows the user to

Abstract A properly planned design will minimize travel distance, handling of materials diligence, and operating costs, as well as saving time and ease site congestion. The majority of mathematical optimization approaches discovered thus far are effective for modest problems and frequently fall within global or local optimum solutions, which does not ensure continued convergence. As

Abstract With the enhancement of artificial intelligence and machine learning, nowadays it is in trend that mobile clients acquiesce their sign for diagnosing medical illnesses. Edge computing methodology is frequently used for medical diagnosis as it reduces the transmission latency and allows users and devices even at remote locations to analyze the data at the

Abstract The purpose of this article is to examine the need for Emotional Intelligence (EI) in conflict resolution and the workplace. Based on the review of emotional intelligence models, we aimed to comprehend the ability to resolve the effect of conflict and the process of regulation and processing of conflicts. Data was collected from 280