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1163 articles for “time management”
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Typhoid Fever: Etiology, Clinical Manifestations, Diagnosis, and Management
Abstract: Typhoid fever is a systemic and potentially life-threatening infectious disease caused by Salmonella enterica serotype Typhi, which primarily spreads through the fecal-oral route via ingestion of contaminated food and water. It continues to be a major global public health concern, particularly in developing and low-resource countries where poor sanitation, inadequate personal hygiene, and unsafe water supplies prevail. The disease is characterized by prolonged high-grade fever, abdominal discomfort, headache, loss of …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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A Novel PWM Based STATCOM Controller for Power Quality Enhancement in Distributed System
Abstract: Static Synchronous Compensator has the capability for the improvement in damping factor and stability by managing the reactive power output. As the STATCOM will itself absorb the reactive power which comes from the distribution line when we apply the capacitive load. To get the higher performance of STATCOM we are mainly depend over control algorithms. As the real power factor has been absorb by the STATCOM at the time when …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 2, 2021 · pp. 24–32 Read article
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AI Enabled Pharma Supply Chain Market
Abstract: Pharmaceutical supply chains are changing because of artificial intelligence (AI). The pharmaceutical industry has always had to deal with uncertainty. From the start of research to the final delivery of medicines to patients, it faces scientific risks, government rules, and supply chain problems. In recent years, these challenges have gotten worse because there is more drug shortage, political issues are messing up transportation, and regulators are asking for more openness …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 2, 2026 Read article
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Evaluation of Indigenous Chicken Rearing Practices in Selected Districts of the Silt’e Zone, Central Ethiopia
Abstract: Indigenous chickens are important for rural life in Ethiopia because they provide income, animal protein, and social and cultural benefits. But village chickens still don't produce much because of old-fashioned management systems and other problems with production. This study examined traditional methods of raising chickens and found major problems with production in some districts of the Silt'e Zone in Central Ethiopia. A cross-sectional survey was executed employing a multistage sampling …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 2, 2026 · pp. 27–37 Read article
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Integrating Sensor Technologies and Machine Learning for Detection and Mitigation of Structural Deformity and Slope Failure in Opencast Mines
Abstract: With furtherance in the mining industry, accidents due to slope failure are frequent in mining sites. Slope instability, a complex process, seriously threatens the miner’s life and properties. The damage inflicted by slope failures in the recent past has pulled the attention of authorities toward implementing disaster risk reduction measures. This research aims to develop an innovative approach that combines sensor technologies and machine learning techniques to detect and mitigate …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 38–45 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Health and Wellness in the Age of Digital Landscapes: Fostering Quality of Life
Abstract: Digital technologies have been transforming the world of health and wellness, bringing unique ways to enhance people's life quality around grand scale. These developments are completely changing the way we think about social health, mental health, and physical fitness. People can better monitor, manage, and optimize their health by utilizing technologies like wearables, telemedicine, and smartphone health apps in conjunction with artificial intelligence. This study examines the various ways that …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 1, 2025 · pp. 1–4 Read article
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TensorFlow-Based Big Data Analytics for IoT Networks: A Study
Abstract: Internet of Things (IoT) has exploded in recent years, connecting billions of devices generating massive amounts of data. This deluge presents both a significant opportunity and a considerable challenge. While the potential insights hidden within this data are transformative, customary data processing techniques frequently fall short when handled with the velocity, volume, and variety of IoT-generated data. This is where Big Data technologies step in, offering the tools and infrastructure …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 31–38 Read article
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Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach
Abstract: The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids. A significant challenge is the dynamic optimization of the energy storage systems (ESS) and the distribution of the energy among DERs in conditions of uncertainty of loads and generation. The conventional control and optimization methods generally find it …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Identification of the Potentialities of Ecotourism
Abstract: Khalkhal town's climate, geography, topography, ecological conditions, vegetation, and green spaces make it an exceptional tourism destination. Located in the Talesh foothills, Khalkhal enjoys a favorable climate and abundant water resources, attracting nature lovers. To unlock the town's tourism potential, it is crucial to assess its diverse attributes. Information layers such as slope, geographical direction, vegetation, and climate are individually analyzed. The best zones for the development of ecotourism in …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 1–8 Read article
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Pothole Detection utilising Machine Learning: A Review
Abstract: Potholes must be found and fixed quickly in order to maintain infrastructure, maximize transportation systems, and guarantee road safety. Using the Sequential API and the Keras library, this study presents a neural network model for pothole detection. Convolutional layers with ReLU activation, global average pooling, dense layers with dropout, and softmax activation for binary classification make up the model architecture. Image loading, resizing, array conversion, labeling, shuffling, normalization, and one-hot …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 35–43 Read article
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Optimizing Silage Quality: Best Practices for Maximum Nutrient Retention and Sustainable Dairy Development
Abstract: Silage is a critical component in dairy production systems, offering a consistent and high-quality feed source throughout the year. Optimizing silage quality begins in the field, requiring strategic practices to maximize nutrient retention and support sustainable dairy development. This study reviews best practices across silage production stages, including crop selection, timely harvesting, precise chopping, controlled fermentation, and efficient storage techniques. Emphasis is placed on achieving the ideal moisture content, reducing …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Labor Productivity in Construction Worksite: Impacting Factors and Measures for Improvement
Abstract: The study aims to identify the influencing factors affecting labor productivity, measure its impact level and ranking of these factors using Relative Important Index. Also, certain measures are suggested for enhancing labor productivity at worksite. Five categories and twenty-eight factors affecting labor productivity were identified through literature survey. Questionnaire survey was also conducted to assess the factors influencing labor productivity at worksite and the same was evaluated through five point …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 1, 2021 · pp. 1–9 Read article
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Pavement Maintenance Management System: A Review
Abstract: Maintenance plays an essential and integral part in the life of a pavement. The pavement maintenance management system (PMMS) is a systematic method for inspection and rating the pavement condition in a given area. The system also performs a cost effectiveness analysis of various maintenance and rehabilitation strategies. Finally the system prioritize and recommend pavement rehabilitation and maintenance to maximize results within a given budget amount. During execution of maintenance …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 19–30 Read article
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Machine Learning Based Smart Aquaponics Farming System
Abstract: For many years, researchers have been studying nutrient management in aquaponic systems. Most have concentrated on adequate nutrition control in an aquaponic setup, but there has been relatively little study on commercial scale applications. For plant growth, it is necessary to measure the level of nutrients present in the soil mixture. In our model, the input data was sourced on some interval of time basis from three commercial aquaponic farms. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 30–37 Read article
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Smart Water Harvester
Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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A Polymer-Based Recommender System for Precision Agriculture: Enhancing Crop Yield Analysis Using IoT Technology
Abstract: This study introduces an innovative recommender system that employs polymer-based sensors combined with advanced data analytics to deliver personalized recommendations for crop management optimization. The use of polymer-based materials in sensor design allows for the creation of durable, cost-effective, and efficient sensors, well-suited for the challenging conditions typical in agricultural environments. These sensors are designed to withstand variations in numerous factors like temperature of the surrounding, humidity level, and at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–95 Read article
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Implementation and Impact of Lean Manufacturing: A Critical Review and Framework for Adoption
Abstract: Lean manufacturing has become a vital approach for organizations seeking to enhance efficiency, reduce waste, and strengthen competitiveness in dynamic industrial environments. Although lean principles are well established, industries continue to experience inconsistencies in implementation outcomes due to differences in organizational readiness, employee involvement, and managerial commitment. This study critically reviews existing research on lean manufacturing to examine its practical impact, the factors influencing its success, and the challenges that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article