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69 articles for “Learning Outcomes”
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Research ArticleOpen accessIn the abstractAchievement Motivation and Self-Efficacy in Relation to Adjustment among University StudentsHabibah Elias, Nooreen Noordin, Rahil Hj. MahyuddinProblem statement: University students' adjustment to the campus environment is regarded as an important factor in predicting university outcomes. Studies have shown that students who do not adjust themselves well, have left the university even before graduation. Approach: A study was conducted to examine some psychological characteristics of university students which may have bearing on students’ adjustment in university environment. … …Journal of Social Sciences, Vol. 6, Issue 3 · 30 Sep 2010 · 11,088 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Appreciative Intelligence for Positive Enactment in Times of Uncertainty: A Case Study of a Small Investment FirmSusan Schick Case, Tojo ThatchenkeryProblem statement: How do we develop a complex understanding of markets and environments? Are markets and environments concrete entities that exist “out there” or are they socially constructed by human imagination and intentional language use? Approach: Using a case study approach, the interactions in a small investment firm were analyzed to bring to surface the complex relationship among markets, enactment … …American Journal of Economics and Business Administration, Vol. 2, Issue 2 · 30 Jun 2010 · 7,555 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmbedded Systems Education for Multiple DisciplinesAli H. El-Mousa, Ashraf Al-SuyyaghProblem statement: This study described the process and experience of designing and developing an embedded systems first course that serves different disciplines at the University of Jordan together with its associated laboratory. The course serves three different departments with varying requirements and varying student initial background. The stages of the design process of the course and associated labs are explored. … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Jun 2010 · 7,095 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAssessing the Comparative Effectiveness of Ensemble CatBoost Versus XGBoost Models in Predicting Heart Disease OutcomesManivannan D., G. Gifta Jerith, G. Chandra Sekhar et al.Cardiovascular Diseases (CVDs) are a common form of heart disease that remains a significant global cause of mortality, responsible for more than 30% of all fatalities. Without intervention, the global fatality count is projected to reach 22 million by 2030. Arterial plaque buildup may impede blood flow, potentially causing heart attacks or strokes. A combination of risk causes, including lack … …Journal of Computer Science, Vol. 22, Issue 4 · 4 May 2026 · 1,544 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Innovative Method for Recognizing Face Expressions Based on Genetic Algorithm and Extreme Learning Based Hybrid ModelTushar Dhar Shukla, Md Oqail Ahmad, Puneet Sapra et al.The detection of facial action coding system Action Units (AU) and other facial expressions has been a major focus of computer science for more than 20 years categorizing discrete emotional states based on facial expressions. While several widely used face expression databases exist, standardization and comparability remain key challenges. The lack of a universally recognized assessment procedure and insufficient information … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 7,293 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEmpirical Study on Modified Pre-Trained CNN Architectures for Fitzpatrick17k Skin Diseases Prediction ModellingSteven Matthew, Nur Afny Catur Andryani, Rojali et al.Preventing missed diagnosis of skin diseases is critical for enhancing patient outcomes. Technology support empowered by AI based algorithms have been recently developed to minimize the burden. Convolutional Neural Networks (CNNs) are increasingly utilized for image classification tasks including skin's diseases prediction modelling. Its advancement architectures such as pre-trained models, VGG16 andResNet50 provide a strong foundation to up-skill the prediction … …Journal of Computer Science, Vol. 21, Issue 7 · 8 Jul 2025 · 3,934 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPrognosis of Dementia Using Early Fusion Approach with Digital Clock Drawing and Trail-Making TestsShridevi Karande, Vrushali KulkarniDementia poses a substantial global public health challenge. Emerging evidence suggests that COVID-19's neurological impact may aggravate dementia incidences. Timely recognition and management can significantly decelerate dementia progression and enhance affected individuals' quality of life. In the realm of cognitive assessment, the Clock Drawing Test (CDT) and Trail-Making Test (TMT) stand as prominent tools. Existing research predominantly focuses on the … …Journal of Computer Science, Vol. 20, Issue 8 · 10 Jun 2024 · 4,720 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordBig Data in Medical Applications and Health CareLidong Wang, Cheryl Ann AlexanderBig Data can unify all patient related data to get a 360-degree view of the patient to analyze and predict outcomes. It can improve clinical practices, new drug development and health care financing process. It offers a lot of benefits such as early disease detection, fraud detection and better healthcare quality and efficiency. This paper introduces the Big Data concept … …Current Research in Medicine, Vol. 6, Issue 1 · 15 May 2015 · 14,953 accessesView PDFCite