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127 articles for “problem-based learning”
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Pseudo Random Encoders Simulation and Implementation
Abstract: This article discusses pseudo-random position encoders and their basic built-in parts, but pays special attention to a new approach in their development. A new, more flexible method for improving and testing proposed pseudo-random encoders, based on virtual instrumentation. In particular, the problems of generating pseudo-random strings and converting pseudo-random code to natural code are discussed, implemented, and tested using the LabVIEW software package. The goal of this study is to …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 35–40 Read article
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Crime Prediction and Criminal Identification System Using Machine Learning
Abstract: Advanced machine learning and data analytics-driven crime prediction and criminal identification systems have become game-changing instruments for contemporary law enforcement. Utilizing past crime statistics, surveillance footage, and additional resources, these systems forecast criminal activity, manage resources efficiently, and improve investigation capacities. With an emphasis on their importance in enhancing public safety and lowering crime rates, this paper presents an overview of criminal identification and prediction systems. Examining the technologies and …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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DRIVER ANTI-SLEEP ALARMING AND PROTECTION
Abstract: Road accidents due to driver drowsiness is one of the biggest problems worldwide, which kills thousands of people every year. Fatigue slows the reaction time, reduces the concentration, and, most importantly, impairs the judgment, thus making drowsy driving as dangerous as drunk driving. To reduce such accidents, various technologies have been employed to develop driver anti-sleep devices. These include sensor-based detection, camera-based eye monitoring, EEG analysis, and real-time alert systems. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection
Abstract: Due to the rapid growth in urban vehicle density, there have been major problems in the effective management of parking space, which has caused congestion, more traveling time, wastage of fuel, and environmental pollution. Conventional parking systems are very ineffective, as they are based on manual surveillance and cannot provide drivers with much real-time information. To overcome these challenges, the present paper explores the design, development, and operation of a …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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Determinants of Teenage Pregnancy and Motherhood in Ethiopia: Analysis of the Ethiopian Demographic Health Survey 2016
Abstract: Background: Teenage pregnancy, a global public health problem, especially in developing countries, refers to a pregnancy when teenage girls, aged 13–19 and considered not to have reached legal adulthood, become pregnant and is said to have wide range of subsequent adverse health, economic and social outcomes. In Ethiopia, where marriage is a universal occurrence, the Federal Democratic Republic of Ethiopia ministry of health is working to alleviate the problem, though …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 3, 2018 · pp. 47–53 Read article