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352 articles for “log data”
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Brain Stroke Detection Using Deep Learning and Grad-CAM Explainability Framework
Abstract: Seconds matter when a brain stroke occurs; it is a race against time where rapid, precise intervention is the only way to preserve a patient’s quality of life. This research introduces a deep learning framework designed to act as a vital ally for clinicians, providing automated, high-speed stroke detection through brain MRI analysis. At the heart of our approach is EfficientNetB0, a sophisticated neural network chosen for its ability to …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 8–14 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Computer and Commerce – Relationship for The Future
Abstract: The relationship between computers and commerce has evolved dramatically over the past few decades, transforming the way businesses operate and how consumers interact with markets. This synergy continues to grow and holds significant potential for the future. Computers, through advancements in artificial intelligence (AI), machine learning, cloud computing, and big data analytics, have revolutionized commerce by enhancing efficiency, improving decision-making, and fostering innovation. In the future, we can expect even …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 42–59 Read article
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Automated Intelligence, Machine Learning, and Big Data in Education: A Practical Framework, Synthetic Demonstration, and Deployment Guidance
Abstract: Artificial intelligence (AI), machine learning (ML), and big-data methods are increasingly used to improve educational decision making through personalization, early-warning systems, scalable feedback, and operational analytics. This manuscript proposes a practical end-to-end framework for educational AI/ML projects, covering problem definition, data engineering, modeling, evaluation, intervention design, and responsible governance. To provide a complete and reproducible template without exposing sensitive student data, we present a synthetic demonstration study that mirrors typical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Advancements in Battery Storage Technology for Renewable Energy Systems: Improving Reliability and Efficiency of Sustainable Energy
Abstract: Advances in battery storage technology are critical to improved reliability and efficiency of renewable energy systems, underpinning a sustainable energy future. Innovations exist in many different kinds of battery technologies- being developed and tested, and the leading contenders include innovations such as lithium-ion and sodium-ion, and much newer entrants like the solid-state and lithium-sulfur batteries. These developments respond to growing needs for sustainable solutions towards better integration of intermittent renewable …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Magnitude and Risk Factors of Ante-partum Hemorrhage in Lemlem Karl Hospital, Tigray, Northern Ethiopia
Abstract: Antepartum Hemorrhage (APH) is a grave obstetrical emergency. APH continues to be a major cause of maternal and perinatal morbidity and mortality even in modern obstetrics. It is one of the most frequent emergencies. Vaginal bleeding in the third trimester complicates 2–5% of all pregnancies. It is considered an obstetric emergency because hemorrhage remains the most frequent cause of maternal and fetal deaths. It is a critical for the well-being …
Published in Research and Reviews : A Journal of Immunology · Vol. 5, Issue 1, 2015 · pp. 13–22 Read article
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Factors Associated with Relapse in Schizophrenia Patients Who are on Follow Up at Ayder Comprehensive Specialized Hospital and Mekelle General Hospital, Tigray, Ethiopia, 2018/19
Abstract: Schizophrenia is a chronic and disabling illness; relapse is recognized as the reemergence or the worsening of positive and/or negative psychotic symptoms, hospital admission or readmission. Factors that associated with relapse; substance use disorders, noncompliance of medicine, side effect experience of antipsychotic, poor social support, co-morbidity of other mental illness and chronic medical condition. The aim of this study was to identify factors associated with relapse in schizophrenia patients who …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 1, 2020 · pp. 9–15 Read article
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Magnitude and Factors associated with Voluntary Blood Donation Practice among Adult Mekelle Population, North Ethiopia: A Community-based Cross-sectional Study
Abstract: Globally, around 107 million blood donations are collected annually. However, only two million units are donated in sub-Saharan Africa where the need is enormous. Hence, the aim of the study was to assess the magnitude and factors affecting blood donation practice among adult Mekelle population. A community-based cross-sectional study design was conducted. Using multistage sampling technique and a pre-tested structured interview questionnaire, data were collected from 845 study participants. Collected …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 4, Issue 3, 2015 · pp. 5–13 Read article
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An Examination of Energy-Saving Techniques for UAV Communication
Abstract: Unmanned aerial vehicles (UAVs), or drones, have become essential in various industries due to their low deployment costs and exceptional versatility. As a result, they are widely used in industries like mining, agriculture, logistics, and search and rescue. The effectiveness of UAV applications is largely dependent on robust communication technology, which is crucial for control, data transmission, and coordination. However, the limited capacity of the low-power batteries used in UAVs …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 1–7 Read article
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Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems
Abstract: Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently. Current algorithms such as LRU (Least Recently Used), Clock algorithms as well as FIFO (First-In-First-Out), often struggle with the increasing demands of contemporary applications and larger memory hierarchies. This research work proposes a novel approach utilizing B-tree data structures to design an optimal page replacement technique. The proposed …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 23–30 Read article
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Nutritional Recovery Status and its Determinants of Targeted Supplementary Feeding Program among Pregnant and Lactating Women in Werie-Leke District, North Ethiopia, 2015
Abstract: In Ethiopia, around 1.5 million pregnant and lactating women (PLW) screened for acute malnutrition and those with moderate acute malnutrition (MAM) admitted to the targeted supplementary feeding program (TSFP). As the health system accepted, the TSFP is recognized as critical for the reduction of maternal morbidity and mortality in case of community emergency nutrition, but the recovery outcome was not measured yet. The study was undertaken to assess the nutritional …
Published in Research and Reviews: A Journal of Health Professions · Vol. 6, Issue 2, 2016 · pp. 21–30 Read article
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Determinants of Caesarean Delivery in Ayder Referral Hospital, Mekelle, Tigray, Ethiopia 2015: A Case Control Study
Abstract: Caesarean delivery rates have been increasing around the world from time to time, with current rates in developing countries comparable to other industrialized nations. International concern over such increases has prompted the World Health Organization to suggest that caesarean section rates should not exceed 15%. A study conducted in Ayder Referral Hospital indicated that the rate of caesarean section was 21.90%. The aim of the study was to assess the …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 5, Issue 1, 2016 · pp. 52–59 Read article
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A Novel 4:1 Multiplexer Design using Power Minimization Technique based Domino Logic
Abstract: Domino circuits are widely used these days in the design of modern-day microprocessors because of their high speed and less area overhead compared to static logic style. In this paper, a new domino-based 4:1 multiplexer circuit has been designed which finds extensive use in register files and execution units where large amounts of data have to be broken into smaller chunks so that the processor can manipulate it more easily …
Published in Journal of VLSI Design Tools and Technology · Vol. 3, Issue 3, 2013 Read article
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Productivity Estimation of any Manufacturing Industry Using Fuzzy Logic in MATLAB Software
Abstract: In every industry/organization Labor Productivity plays a major part in the overall growth and production. Many time it is observed that industries do not attain their desired goals due to poor labor productivity. Labor Productivity is dependent on many different factors like Delay in Payment, management supervision over workers, proper work planning and scheduling, poor site safety program, lack of financial motivation system, etc. In this study, we estimated labor …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 1–14 Read article
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Prevalence and Factors Associated with Overweight/Obesity in Public Servants, Tigray, Ethiopia: The Case of Mekelle City
Abstract: Introduction: Noncommunicable diseases (NCDs) remain the major causes of mortality. In Africa and sub-Saharan countries prevalence of NCDs is rising due to many reasons. About 80% of deaths due to NCDs are common in low and middle-income countries including Ethiopia. Overweight and obesity are leading risk factors for a number of chronic NCDs. Objective: The aim of this research was to estimate the magnitude and factors associated with overweight/obesity among …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 3, 2018 · pp. 39–46 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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Simulation of Adder Circuit Using Reversible Gates in Verilog HDL
Abstract: The emerging field of quantum computing uses quantum logic gates. The reversibility of logic gates is an important aspect of quantum logic gates used in VLSI and quantum computing. Reversibility ensures that power consumption is minimized. This study explores the field of reversible logic and utilizes Peres gate to develop a full adder circuit that shows a significant reduction in power consumption in simulations performed in Xilinx Vivado. We have …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 32–38 Read article
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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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Automation and Robotics for Quality Control in Manufacturing: A Review of Technologies and Applications
Abstract: Automation and robotics technologies have rapidly evolved, transforming modern manufacturing processes by improving productivity, quality, and operational efficiency. This review examines key advancements such as cloud robotics, machine vision, Industry 4.0 robotics, Building Information Modeling (BIM) combined with Computer Numerical Control (CNC), joystick-controlled automation, and intelligent manufacturing systems. These technologies utilize artificial intelligence (AI), machine learning (ML), digital twins, collaborative robots, programmable logic controllers (PLCs), and cyber-physical systems (CPS) to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 36–48 Read article
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Determinants of the Adoption of chemical Fertilizer in Kaffa, Bench Sheko and Sheka zones of Southwest Ethiopia
Abstract: Agriculture is the backbone of the Ethiopian economy, but the production system was backward, and the adoption of agricultural technology was low. This study aims to identify and determine factors affecting smallholder farmers' adoption of chemical fertilizer. Bita, Chena, Andiracha, and Sheyi Bench district of the southwest Ethiopia region was selected for this study. Household individual survey interview, key informant interview, and focus group discussion were the primary data collection …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–12 Read article