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1971 articles for “time study” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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The Theoretical and Experimental Study of the Behavior of the Mercury Drop, Fixed on the Glass Bottom of Vessel with Fluid, Under the Acceleration of Gravity Change
Abstract: At present time, accumulated theoretical material of the studies of the equilibrium forms of the gas bubbles or mercury drops, fixed on the surface of solid material in the fluid or on the glass bottom of vessel with fluid, under the acceleration of gravity change, was carried out either on the basis of geometric similarity laws that greatly simplify the essence of physical processes, or on the basis of theoretical …
Published in Recent Trends in Fluid Mechanics Read article
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The Theoretical and Experimental Study of the Behavior of the Mercury Drop, Fixed on the Glass Bottom of Vessel with Fluid, Under the Acceleration of Gravity Change
Abstract: At present time, accumulated theoretical material of the studies of the equilibrium forms of the gas bubbles or mercury drops, fixed on the surface of solid material in the fluid or on the glass bottom of vessel with fluid, under the acceleration of gravity change, was carried out either on the basis of geometric similarity laws that greatly simplify the essence of physical processes, or on the basis of theoretical …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 2, 2021 · pp. 1–12 Read article
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A Method to Produce a GIS Database of Asphalt Polymer Pavement Distress of National Highway
Abstract: Bitumen, often referred to as asphalt in its solid form, is a complex mixture of organic compounds derived from the distillation of crude oil. Its chemical composition varies depending on its source, processing methods, and intended application. Pavement surface monitoring is an important part to increase the life of pavement and to minimize the cost incur in maintenance of pavement at an early stage. Traditionally pavement monitoring done using manually …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 99–108 Read article
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Clinical Spectrum and Prognosis of Patients with Septic Shock
Abstract: Septic shock is the leading cause of mortality in hospital patients. Closer observation and early treatment can influence the outcome. The present study is undertaken to study the pattern of sepsis and the factors affecting morbidity and mortality in adult patients with septic shock in the ICU. Adult patients admitted in ICU, Mamata General Hospital, Khammam, with diagnosis of sepsis during one-year period from August 2012 to September 2013 were …
Published in Research and Reviews: A Journal of Health Professions · Vol. 4, Issue 1, 2014 · pp. 1–4 Read article
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Assessment of The Impact of Online Learning Platforms on Academic Motivation
Abstract: Since the COVID-19 pandemic, online learning platforms have become an integral component of higher education systems worldwide. Digital platforms such as Google Classroom, Zoom, Moodle, and Microsoft Teams have transformed the way students access educational content and interact with instructors. While these platforms offer advantages such as flexibility, accessibility, and diverse multimedia resources, their influence on students’ academic motivation remains a critical concern. The present study aims to assess the …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 13–18 Read article
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Adsorption Study using Water Hyacinth as an Adsorbent
Abstract: Heavy metals are widely used in numerous industries such as paints and pigments, glass production, mining operation, electroplating, battery manufacturing and textile industries. The significant losses of heavy metals occur during the manufacturing processes and these lost heavy metals are discharged in the effluent. As they move from one ecological trophic level to another, metallic species start damaging the ecosystem. They also become difficult to track as they move up …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 3, 2014 · pp. 13–16 Read article
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Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration
Abstract: The “Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration” project is a cutting-edge solution for intelligent traffic monitoring, with YOLO v8 (You Only Look Once) serving as the fundamental technology for real-time vehicle detection and traffic counting on roads. In addition to these features, the system interfaces effortlessly with data pipelines and machine learning projects by storing gathered traffic data in CSV (Comma-Separated Values) format. The major goal of …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 20–24 Read article
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Time Overrun Causes in Public Construction Projects in Saudi Arabia: Contractors’ View
Abstract: The time schedule in construction projects is one of the prime measures for project success. However, the construction industry worldwide is full of projects that were completed with significant time overrun. This problem is critical and has negative effects on construction parties in terms of growth in adversarial relationships, mistrust, litigation, arbitration and cash flow problems. This study aims at identifying the time overrun causes in public construction projects in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 3, Issue 3, 2013 · pp. 67–75 Read article
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Real-Time Crack Detection in Polymer Composites Using Embedded IoT Sensor Networks
Abstract: This study developed an embedded Internet of Things sensor network for real-time crack detection, localization, and severity assessment in glass–fiber-reinforced polymer composites. Four polyvinylidene fluoride sensors were embedded near the laminate mid-plane and connected to synchronized wireless acquisition nodes. Controlled low-velocity impacts generated graded damage states. Ultrasonic C-scan and optical microscopy provided independent labels. A compact multi-channel convolutional model processed normalized waveforms, spectral entropy, signal energy, and arrival-time differences at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 866–899 Read article
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Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study
Abstract: Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 83–91 Read article
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Synthesis of Activated Carbon from Corn Cob and Factors Affecting its Adsorption and Desorption Efficiency of Cationic Brilliant Green Dye
Abstract: Extreme dye pollutants released from textile, leather, and pulp industries are becoming a major concern to the water. These pollutants are highly toxic to living things. The major objective of this study was to prepare low-cost and efficient activated carbon from corncob (CCAC) adsorbent through the H2SO4 activation method and characterize its suitability for removing brilliant green dye (BGD) from aqueous solution. The adsorption and desorption efficiency of the prepared …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 27–44 Read article
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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CPU Scheduling Algorithm Round Robin with Dynamic Time Quantum
Abstract: CPU programming in the operating system is one of the basic factors for determining the performance of the multitasking operating system which makes a computer system more productive by changing the CPU between processes. An operating system manages all operations that continuously and consistently manage the available resources provided by the system in an optimal approach. Process planning is the important operating system functionality for process management. The most popular …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 2, 2021 · pp. 31–37 Read article
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Facial Recognition System Utilizing Real-time Deep Learning Techniques
Abstract: This research introduces an openly accessible deep learning-based framework designed for facial recognition. The system encompasses five key stages: face segmentation, detection of facial features, face alignment, embedding, and classification. Deep learning methods are employed for the extraction of fiducial points and embedding within the system. For the classification task, a Support Vector Machine (SVM) is utilized due to its efficiency in both training and inference phases. Notably, the system …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 14–20 Read article
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Comparative Performance Study of Rubberized Concrete and Conventional Concrete: Strength, Sustainability, and Innovation
Abstract: The growing amount of car waste is a major problem around the world, and getting rid of old tires is especially important for the environment. Rubberized Concrete (RC) uses broken tire rubber as a substitute for natural materials in concrete, which is a smart and new way to help build in a more sustainable way. This review paper compares how well rubberized concrete works against conventional concrete (CC). The study …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–7 Read article
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Novel Technique for the Analysis of Electronic Circuits Including Zener Diodes
Abstract: This paper addresses the analysis of electronic circuits including Zener diodes. It starts with a modified Zener diode model, which is based on expressions involving step-functions, its parameters such as the resistances in both current directions as well as its breakdown (or Zener) voltage. In contrast to the earlier approaches expressing the sharp discontinuities characterizing the step-functions in terms of inverse hyperbolic tangent terms, this paper adopts more concise and …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 3, 2021 · pp. 31–41 Read article
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Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
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A study on IoT and AI for Predictive Modeling and Control of Infectious Disease Transmission
Abstract: Background: The global response to novel and recurring infectious diseases is frequently hindered by surveillance systems that are slow, siloed, and reactive. Traditional epidemiology relies on retrospective analysis of clinical reports, often missing the critical early phase of autocatalytic spread. The urgency of modern public health necessitates a shift toward real-time, predictive intelligence. Methods: This study investigates the development and deployment of a synergistic paradigm integrating the Internet of Things …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 Read article