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913 articles for “Practices”
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Cost and Schedule Performance in Construction Projects: Assessing the Usage and Challenges of Planning Techniques in Port Harcourt
Abstract: Abstract Planning is useful for establishing performance metrics during the execution of construction projects and for streamlining cost and schedule outcomes. A well-developed contract plan thus helps to ensure that the project is completed on time, within budget, and to the required standards and quality. Various planning techniques are available for use in enhancing cost and schedule performance on construction projects, each with its applicability, cons, and pros. This study …
Published in International Journal of Construction Engineering and Planning · Vol. 11, Issue 1, 2025 · pp. 15–27 Read article
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Treatment of Leachate by Using Solid Waste
Abstract: Abstract Leachate, a hazardous liquid from landfill decomposition, is a significant environmental challenge worldwide. Traditional collection of solid waste: Gather the solid waste material you want to generate leachate from. This waste could include organic matter, plastics, paper, and other materials commonly found in municipal solid waste. Sorting and compressing: Depending on the initial state of the waste, you may need to shred or crush it to increase the surface …
Published in International Journal of Prevention and Control of Industrial Pollution · Vol. 11, Issue 1, 2025 · pp. 43–49 Read article
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Nonlinear Finite Element Approaches for Structural Failure Prediction: A Comparative Assessment with Case Studies
Abstract: Abstract Nonlinear finite element methods (NLFEM) have become indispensable for predicting structural failure in complex engineering systems, particularly where linear models fail to capture critical behaviors, such as large deformations, crack propagation, and post-buckling responses. This study investigates and compares several state-of-the-art NLFEM techniques – namely cohesive zone modeling (CZM), extended finite element method (XFEM), and phase-field fracture modelling – in the context of structural failure prediction. Three representative case …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
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Seismic Behavior of Composite Steel-Concrete Beams in High-Risk Earthquake Zones: An Analytical and Experimental Approach
Abstract: Abstract This study investigates the seismic performance of composite steel-concrete beams in high-risk earthquake zones through a combination of analytical modeling and experimental testing. Composite beams, which combine the strengths of steel and concrete, are increasingly utilized in structural designs due to their superior load-bearing capacity and ductility. The research emphasizes the behavior of these beams under seismic loading, focusing on critical parameters such as energy dissipation, load transfer mechanisms, …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 2, 2025 · pp. 43–64 Read article
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Effect of Soil pH on the Germination and Growth of Triticum aestivum (Wheat) and Zea mays (Maize)
Abstract: Because of its effects on nutrient availability, microbial activity, and the solubility of hazardous elements, all of which can have a substantial impact on crop productivity, soil pH is a crucial factor determining plant growth and development. Understanding how different pH levels affect the vegetative growth of crops is crucial for optimizing agricultural practices. This study examines the impact of soil pH – acidic, neutral, and alkaline – on the …
Published in International Journal of Agrochemistry · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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A Comparative Study of Solar, Wind, and Biomass Energy for Decentralized Power Generation
Abstract: The need for clean, renewable energy sources is growing as decentralized power generation gains popularity due to its ability to provide reliable power to remote areas and reduce transmission losses. This paper compares three popular renewable energy sources—solar, wind, and biomass—evaluating their feasibility, efficiency, costs, environmental impact, and sustainability in the context of decentralized power generation. Findings indicate that while each energy source has distinct advantages and challenges, a hybrid …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 11, Issue 2, 2025 Read article
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The Effect of Sugar Powder on Strength of Concrete
Abstract: Abstract This study presents a comprehensive experimental investigation into the influence of sugar powder on the compressive strength of concrete. The research aims to systematically evaluate the effects of incorporating sugar powder in varying proportions on the mechanical and structural performance of concrete, particularly when combined with different brands of cement. Concrete cube specimens with standard dimensions of 150 mm × 150 mm × 150 mm were meticulously prepared by …
Published in International Journal of Concrete Technology · Vol. 11, Issue 1, 2025 · pp. 22–28 Read article
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Legal Ease: An End-to-End Automated Legal Document Processing System Using LLMs and OCR
Abstract: This paper describes an automated legal document processing system that uses modern technologies, such as Large Language Models (LLMs) and Optical Character Recognition (OCR). Designed to streamline legal procedures, the system allows users to submit legal documents in PDF format and uses Tesseract-powered OCR to extract and digitize text while keeping the document’s layout and structure. The digitized text is processed by an LLM that has been fine-tuned using legal …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 29–32 Read article
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Advanced Modeling Approaches for Assessing Human Health Impacts of Environmental Changes
Abstract: This study sheds light on the far-reaching and complex effects of environmental changes on human health and livelihood. It identifies significant associations between pollutants, such as PM2.5 and NO2 with chronic respiratory and cardiovascular diseases and mental health disorders like anxiety and depression. Such findings underscore the urgent need for efforts to rectify socio-economic repercussions of changes in the environment, including workforce displacement, migration, and fragmentation of social structures. It …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 1, 2025 · pp. 95–103 Read article
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Therapeutic Potential of Medicinal Pteridophytes in the Doon Valley
Abstract: The Doon Valley, nestled at the foothills of the Himalayas in Uttarakhand, is ecologically rich and biologically diverse. This region, encompassing Dehradun, Mussoorie, and Chakrata, harbors a significant variety of medicinal pteridophytes used in ethnomedicine. These plants, thriving in the region’s subtropical to temperate climate, are integral to traditional healing practices and modern pharmacological applications. A total of 28 medicinal pteridophyte species were identified in this study, each with unique …
Published in International Journal of Plant Biotechnology · Vol. 11, Issue 1, 2025 · pp. 1–19 Read article
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Smart Agro-Advisory Systems: AI-Based Platforms for Real-Time Farmer Decision Support
Abstract: Agriculture is a vital sector for food security and economic growth, particularly in the developing world. Farmers, however, often face unpredictability of weather conditions, insect attacks, wasteful use of resources, and uncertainties of the market. Farmers' practices are mostly based on experience and intuition, which might not always be the best to apply. Smart Agro-Advisory Systems (SAAS) based on Artificial Intelligence (AI) offer real-time decision support to farmers, enabling them …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 8–14 Read article
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Ethical Issues and Implementation Challenges of Artificial Intelligence in ICU Care: A Critical Nursing Perspective
Abstract: Background: The integration of Artificial Intelligence (AI) in Intensive Care Units (ICUs) is rapidly advancing, with AI showing potential to improve patient outcomes by enhancing monitoring, predicting deterioration, and optimizing clinical decision-making. Despite its promise, the implementation of AI in critical care environments raises ethical and practical concerns. This study aims to evaluate the impact of AI on ICU outcomes and explore the associated ethical and implementation challenges. Objective:To assess …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Design and Optimization of Gas Turbine Blades for High-Temperature Operations
Abstract: Abstract The design and optimization of gas turbine blades for high-temperature operations are critical to enhancing the efficiency and reliability of power generation and propulsion systems. These components operate under extreme conditions of heat, pressure, and mechanical stress, making their performance pivotal to the overall effectiveness of turbines. This study explores the key factors influencing blade performance, emphasizing the importance of material selection, thermal barrier coatings, aerodynamic design, cooling mechanisms, …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 22–27 Read article
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Smart Agriculture Using IoT: A Paradigm Shift in Modern Farming
Abstract: The rapid advancements on the Internet of Things (IoT) have revolutionized agriculture by integrating sensors, automation, and data analytics to enhance productivity, resource efficiency, and sustainability. With growing challenges such as climate change, population growth, and the need for efficient resource management, IoT-driven smart agriculture presents a transformative approach to modern farming. By leveraging IoT-enabled devices, farmers can gain real-time insights into soil conditions, weather patterns, crop health, and resource …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 33–37 Read article
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, "Real Time Language Translation Application Using Tkinter," was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google's Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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Evaluation of Machine Learning and Deep Learning Models for Classification Tasks on Crime Data: A Comparative Study
Abstract: The classification of crime data has grown more and more important for public safety and law enforcement due to the increasing demand for precise and effective predictive models. To classify crime data, this study assesses and contrasts the effectiveness of several machine learning (ML) and deep learning (DL) models, such as decision trees, support vector machines, neural networks, and convolutional neural networks. The study evaluates the models' accuracy, efficiency, and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
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Exploring Next-Generation NetworkingArchitectures for IOT innovation
Abstract: Industrial evolution has been brought by the Internet of Things (IoT) which is connectivity of trillions of devices which makes smart systems and how humans and machines communicate easy. But as IoT expands even more the era of wired and wireless networking has been overtaken with issues such as latency, energy and security risk. This paper examines the emerging Internet technologies such as edge computing, 5G, SDN, and block chain …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article