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483 articles for “performance analysis”
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Deep Learning in Medical Image Classification and Object Detection: A Survey
Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 Read article
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Evaluation of RC Frames in Shifting on Seismic Zone 3 to 5 and Retrofitting Techniques using ETABS
Abstract: The finite element analysis has been carried out on six storey reinforced concrete frames using commercial finite element software ETABS. The performance of six storeys infilled frame failing due to improper design as well as inadequate reinforcements when seismic zone shifting from zone 3 to 5 was studied. The behavior of infilled frame considered in zone 5 was studied and compared with the results obtained from the analysis of frame …
Published in International Journal of Structural Engineering and Analysis · Vol. 3, Issue 2, 2017 · pp. 1–16 Read article
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Optimization of Project Progress Using 3d Laser Scanning Technique
Abstract: Industrialization and modernization play a major role in construction industry and influence the development of infrastructure in all the related sectors as well. Modern and advanced devices when calibrated with project execution processes, can prove to be a time saving & error free method and also assured quality end result. Quality control and quantity management are the ways to control and measure projects. Analysis of measures provides information that may …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 8, Issue 1, 2022 · pp. 21–43 Read article
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Evaluation of Culvert design by FRP Rebars
Abstract: Abstract The increasing need for long-lasting and sustainable infrastructure has encouraged the use of innovative materials in civil engineering applications. This study examines the design of a culvert reinforced with Fiber Reinforced Polymer (FRP) bars as a substitute for conventional steel reinforcement. FRP bars provide notable benefits such as excellent resistance to corrosion, a high strength-to-weight ratio, and improved durability. These properties make them especially appropriate for structures exposed to …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 30–35 Read article
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Advancements in Predictive Maintenance: A Review of Data-Driven Approaches, Machine Learning, and AI in Diverse Industrial Landscapes
Abstract: The Internet of Things (IoT), the use of machine learning (ML), and artificial intelligence (AI)-driven advances in predictive maintenance are the key topics of this study. With the goal of offering a thorough grasp of existing approaches and potential future developments, it analyzes applications in predictive maintenance in many sectors. Predictive maintenance approaches are the major topic of discussion, with an emphasis on their advantages, disadvantages, difficulties, and prospects. Additionally, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
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2D Interpolation technique for Channel Estimation in OFDM Systems
Abstract: The use of interpolation technique with low estimation error is imperative for estimating the channel impulse response at data subcarriers for pilot assisted channel estimation techniques in the Orthogonal Frequency Division Multiplexing (OFDM) systems. In this paper, a novel interpolation technique based on 2 d interpolation is presented. The proposed interpolation technique is based on minimizing the interpolation error and channel noise inherent in Least Square (LS) estimation. A comparative …
Published in International Journal of Digital Communication and Analog Signals · Vol. 3, Issue 1, 2017 · pp. 27–34 Read article
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New Data Analysis Method based on L2-Metric over Fuzzy Logic and Genetic Algorithm
Abstract: ABSTRACT L2-Metric is studied over Fuzzy Logic and Genetic Algorithm for analyzing the data. The characterization of L2-metric is generalised over the fuzzy logic and genetic algorithm by isomorphism. This paper presents a new technique of data analysis by Genetic Algorithm (GA), L2 metric and Fuzzy Logic. GA is the process for generating the best variable for the next operation. The data of student’s academic performance is studied as the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 13–18 Read article
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Analysis of Geological Structure for the Application of Geotechnical Engineering to Optimize Thermal Extraction in Geothermal Wells
Abstract: The characterization of the geological terrain for geothermal applications from the heat transfer point of view has been made. Horizontal, vertical and inclined geological layers have been analyzed. Uniform and homogeneous terrain are better candidates for low or high enthalpy geothermal applications while heterogeneous soil have a poorer performance from the thermal transfer point of view. The characterization process of soil structure and properties allows to take the appropriate decision …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 8, Issue 2, 2022 · pp. 26–35 Read article
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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Sugar Powder Impact on Strength of Concrete
Abstract: Abstract This experimental study examines the effect of adding sugar powder to concrete on its compressive strength. The research explores how sugar powder, when used as an additive in concrete mixtures, alters the concrete’s structural performance, particularly in terms of its ability to resist compressive forces. Through systematic testing and analysis, the study aims to determine the extent to which sugar powder can influence the strength and durability of concrete, …
Published in International Journal of Concrete Technology · Vol. 11, Issue 1, 2025 · pp. 15–21 Read article
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Synthesis and Characterization of Polymer-Based Organic–Inorganic Hybrid Materials viaSol–Gel Processing: A Review of Gelatin–Silica, Gelatin–Silica–Titania and HPMA-Based Systems
Abstract: Organic–inorganic hybrid materials have emerged as a versatile class of advanced materials that integrate the flexibility and functionality of organic polymers with the thermal, mechanical, and chemical stability of inorganic networks. Among the available fabrication routes, the sol–gel process has gained considerable attention because of its simplicity, low processing temperature, compositional flexibility, and ability to tailor material properties at the molecular level. The present review discusses the synthesis and characterization …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 2, 2026 Read article
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Underwater Image Enhancement and Edge Detection
Abstract: A hybrid image enhancement and edge detection algorithm for underwater images is proposed in this paper. The proposed enhancement algorithm augments the image quality and suppresses noise in underwater images. The novel edge detection process is centered on the pixel phase information present in images, thereby leading to edge pixels that are illumination invariant. Since, illumination influences a major portion of information in underwater images, subjective analysis of the proposed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 11–21 Read article
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Comprehensive Review on Bamboo-Based CompositeMaterials for Sustainable Engineering Applications
Abstract: Among various natural resources, bamboo has emerged as a promising reinforcement material due to its rapid growth rate, wide availability, low cost, and excellent specific mechanical properties. Bamboobased composite materials combine high strength-to-weight ratio with renewability, making them attractive for diverse engineering applications. The increasing concerns related to resource depletion, carbon emissions, and end-of-life disposal of synthetic composites further highlight the need for biobased and sustainable material solutions. This review …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Synthesis of Biodegradable Nano Composite of PMMA vinyl Polymer with Corn Cob
Abstract: Vinyl polymers are the largest category of polymers which have wide applications. PMMA is important vinyl polymer which when modified with with Corn Cob(agricultural waste) for nanocomposite formation, then it may result biodegradable modified polymer. Corn cobs (focal piece of maize) are either treated as waste or consumed as fuel causing ecological concern. So as to accomplish its worth option in new research regions, corn cob can be prepared synthetically …
Published in International Journal of Polymer Science and Engineering · Vol. 6, Issue 1, 2020 · pp. 20–24 Read article
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An Optimum Stringer for Straight and Curved Stiffened Panels Using X-FEM Techniques
Abstract: In this study, crack growth, modeling and simulation of various stiffened stringers, unstiffened straight and curved cracked panels are presented using commercially available finite element software package. Computation of stresses and convergence of stress intensity factor for single-edge notch specimens computed using finite element method (FEM) and extended finite element method (X-FEM) and compared with analytical solution. X-FEM techniques like cohesive segment method and linear elastic fracture mechanics, using virtual …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 4, Issue 2, 2018 · pp. 1–11 Read article
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Analysis of Key Factors Affecting Labour Productivity in Building Rehabilitation Projects
Abstract: Productivity is a very challenging aspect and momentous concern in construction industry because it controls the overall project performance. Complications are typically related to the labour performance. In the construction sector, there are several internal and external aspects that are variables and are terribly troublesome to predict. Also, this results to never-ending deviation in productivity of labours we tend to come through at sites, so it’s momentous to assure decrease …
Published in International Journal of Sustainable Building Technology · Vol. 5, Issue 1, 2022 · pp. 13–34 Read article
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A Review on Cognitive Radio Sensor Networks for Internet of Things
Abstract: Cognitive radio sensor networks (CRSNs) can effectively manage communication through clustering. This paper examines Internet of Things Cognitive Radio Sensor Networks. An important step towards a world of smart technology is the Internet of Things (IoT) system based on Cognitive Radio (CR). Many frameworks for creating CR-based IoT systems have been put forth. IoT frameworks based on CR are the main topic of the survey. One possible approach to improving …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–33 Read article
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A Review on Cognitive Radio Sensor Networks for Internet of Things
Abstract: Cognitive radio sensor networks (CRSNs) can effectively manage communication through clustering. This paper examines Internet of Things Cognitive Radio Sensor Networks. An important step towards a world of smart technology is the Internet of Things (IoT) system based on Cognitive Radio (CR). Many frameworks for creating CR-based IoT systems have been put forth. IoT frameworks based on CR are the main topic of the survey. One possible approach to improving …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 30–34 Read article
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Design of a Continuous Stirred Tank Reactor for Acetic Acid Production Using Homogeneous Catalyzed Reaction
Abstract: The carbonylation of methanol to give acetic acid is one of the most important homogeneously catalyzed industrial processes. Detailed work has been carried out by researchers on its kinetic study and attempt to increase the activity of the catalyst. In this work attention is focused on the design of a continuous stirred tank reactor (CSTR) for the production of 210, 000 tons per year of acetic acid. At a maximum …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 7, Issue 1, 2021 · pp. 17–38 Read article
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Evaluating and Optimizing Intersection Performance in Indian Context-A Case Study
Abstract: Traffic Jams in a network of intersections and roads is an omnipresent issue that is caused by several parameters. The Panchkula City of India based on sectoral planning has lots of intersections that are a mix of both signalized and unsignalized sets. These intersections at the edge of the major land use have several traffic transition issues causing congestion. Therefore, it is essential to resort to advanced software packages to …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 7, Issue 2, 2021 · pp. 1–14 Read article