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157 articles for “Network Analysis”
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Green Computing Strategies for Reducing Energy Consumption and E-Waste in Modern IT Ecosystems
Abstract: Green computing, also referred to as sustainable computing, addresses the urgent need to reduce the environmental impact associated with the design, operation, and end-of-life management of computing systems. As global reliance on digital technologies continues to expand rapidly, the demand for energy-intensive infrastructure such as data centers, cloud platforms, and network systems has increased significantly. This growth has led to rising energy consumption, higher carbon emissions, and an alarming accumulation …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 7–16 Read article
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Developing Smart Farming Solutions: IoT-Based Techniques for Precision Agriculture
Abstract: A precision agricultural system is a smart farm management system that minimizes production costs while maximizing productivity and profitability through the identification, analysis, and management of field variability using information and technology. Because of the public's increased environmental consciousness, we must alter agricultural management practices to assure economic success while safeguarding natural resources like water, air, and soil quality. With the introduction of Internet of Things (IoT) technology, precision agriculture …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 30–36 Read article
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A Review of Modeling and Data Mining Techniques Applied for Analyzing Steel Bridges
Abstract: The vibration response data measured from the structure contains uncertainties and requires different techniques for its analysis. The present study involves the comprehensive review of the model based and data mining techniques which are frequently applied by various researchers in past to solve various multi criteria decision making and analysis problems. The selection of suitable technique for specific problem is required to obtain accurate outcomes. The literature survey is done …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 1–15 Read article
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Predicting User Engagement on Social Media: A Comparative Study of Machine Learning-based Modeling Approaches
Abstract: Abstract Even while mobile social apps are becoming more and more important in people's daily lives, little is known about the elements that motivate users to interact with these apps. The goal of this work is to analyze and define the transition patterns of individual users' in-app actions as a temporally changing action graph. According to our investigation, action graphs are a useful tool for characterizing user behaviour patterns and …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 41–62 Read article
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Facial Expression Recognition by Using Multifeatured Fusion And Deep Learning Techniques
Abstract: In our daily lives, sentiment analysis is a vital part of communication. A vital component is information regarding how the user feels when someone communicates. You will need a solution that can handle everything from recognizing a user's emotional state to personalizing the user experience. This study's objective is to look into emotions. Today, deep learning techniques are quickly advancing in a variety of fields, including computer vision. Without a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 16–22 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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Evaluation of Hydrodynamic Characteristics of Quarter Circular Breakwater by RBF Network and Regression Models
Abstract: Breakwaters are massive structures constructed to provide the required tranquility within the ports and also used for safeguarding the beaches from eroding due to severe action of waves especially during inclement weather. In the recent years, innovative structures like Semi-Circular Breakwater (SCB) and Quarter Circular Breakwater (QCB) are being evolved to fulfill the ever increasing demand from coastal sector. QCB is a modified SCB, which is similar to caisson consists …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 2, 2020 · pp. 11–22 Read article
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Effects of Introducing Slots in Rectenna
Abstract: Wireless power is turning out to be a promising technology in near future. This would not only be an alternative to batteries and wired supply, but also protect our environment from the harmful effects of batteries. In this paper analysis of introducing slots in the rectenna is studied. An experimental RF energy harvesting system to transmit wireless powers using microwaves is designed and then effects of slot loading on the …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 1, Issue 1, 2015 · pp. 32–38 Read article
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Delineate Catchment Areas of Vindhyachal Region Using Geospatial Techniques
Abstract: In this paper we used an integrated suite of raster and vector geospatial datasets to delineate and characterize watersheds. The geospatial datasets used to delineate and characterize watersheds with the help of Arc Hydro tools of Arc GIS software. We have performed drainage analysis on a terrain model for Vindhiyanchal Region. With the availability of digital elevation models (DEM) and geographic information system (GIS) tools, watershed properties can be extracted …
Published in International Journal of Water Resources Engineering · Vol. 1, Issue 1, 2015 · pp. 1–9 Read article
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CAPITAL INVESTMENT PLANNING OF DISTRIBUTED ENERGY RESOURCES
Abstract: The benefits of DER are site specific. So in order to potentially utilize the advantages of dispersed generation it holds compulsively to reform management and to re-validate the operations of distribution network. It then follows picking up the optimal network topology and blending it with the best use of dispersed generation and retail market including real and reactive power. The minimization of related costs and satisfactory technical and physical constraints …
Published in International Journal of Electrical Power System and Technology · Vol. 2, Issue 2, 2016 · pp. 9–19 Read article
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Investigating Pipeline Integrity Failure as a Result of Corrosion
Abstract: The study reviewed different failure factors and data of onshore crude oil pipelines covering corrosion, external interference, structural defects, and operators’ errors. The focus of this research is to identify factors affecting failure of crude oil pipelines in Nigeria due to corrosion with analysis of failure data from 2008–2017. Corrosion (internal and external) over total length of available pipelines for each year was analysed to determine the current mean time …
Published in International Journal of Composite Materials and Matrices · Vol. 7, Issue 2, 2021 · pp. 1–8 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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A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite Materials
Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Prediction of Adsorption Energies using Machine Learning
Abstract: In this article, we have a much more comprehensive method that promotes the exploration of automated descriptors. Primary component analysis (PCA) with varimax rotation is used to find the strongest minimum range of adsorption energies that can be used as metal descriptors for a given data set. Our findings demonstrate that the mixture of descriptors produced by this method outperforms conventional descriptors such as nuclear carbon, hydrogen and oxygen adsorption …
Published in International Journal of Electrical Power System and Technology · Vol. 6, Issue 2, 2020 · pp. 38–46 Read article
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Power Quality Enhancement in a Distribution Network using allocation of D-STATCOM
Abstract: Modern power clients are getting truly caring with respect to the norm of the power, that will be conveyed to it. Speedy enhancements in current time are upgrading the office quality concerns. As we realize that with time not just the interest of amount of force has expanded yet in addition the nature of the force is worried by customers and the utilities, and the explanation being the rising necessity …
Published in International Journal of Electrical Power System and Technology · Vol. 7, Issue 1, 2021 · pp. 34–42 Read article
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Analyzing Atmospheric Particulate Matter in PortHarcourt and Omoku, Nigeria, Using Artificial NeuralNetworks and Fuzzy Logic
Abstract: Port Harcourt and Omoku, two densely populated towns in Rivers State, Nigeria, are hubs of industrial, commercial, and residential activities, characterized by the presence of oil and gas industries, educational institutions, large markets, and, in the case of Omoku, access to free electric power supply. These activities contribute to environmental degradation through industrial effluents, domestic waste, automobile emissions, gas flaring, and biomass burning, which release aerosols that form harmful particulates …
Published in International Journal of Chemical Engineering and Processing · Vol. 10, Issue 2, 2024 · pp. 16–52 Read article
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Impact of Development of Rural Road Infrastructure in India: A Review
Abstract: As per analysis, rural areas account for 70 percent of India's total population. Hence, improved connectivity and easy accessibility to rural areas will provide a vital motivation to the country's economic growth. Development of rural infrastructure and rural transport infrastructure is very crucial in India. Rural road connectivity ensures access to critical services and opportunities, and fosters sustainable poverty reduction programs as well as employment generation through industrialization in rural …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 3, Issue 2, 2017 · pp. 33–37 Read article
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Techno-Economic Analysis of Packed Bed Type Thermal Batteries for Surplus Renewable Energy Storage
Abstract: Low carbon electricity from renewables will form the bed rock of the energy transition necessary for climate change mitigation. However, variable renewable generators suffer from intermittency and variability – there can be large surplus power available at times which cannot be dispatched to the grid. At many times, the practice is to curtail surplus renewable output, which is wasteful and not economic. There are also phases when generation is not …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 9, Issue 2, 2023 · pp. 14–21 Read article
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Application of Hybrid Wavelet Packet-ANN in Drought Forecasting
Abstract: Drought is the most catastrophic natural disaster that has disastrous effect on human beings, environment and ecology. It is the most frequent of all the natural hazards. In this study, an attempt has been made to forecast the drought using Artificial Neural Network (ANN) for a lead time of 1-month and 6-month. Further, the pre-processing of data has been carried out using Wavelet Packet transform (WPT) and then the pre-processed …
Published in International Journal of Water Resources Engineering · Vol. 3, Issue 2, 2017 · pp. 70–80 Read article