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1035 articles for “Computational techniques”
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Inter-patient Heartbeat Classification Using Higher Order Statistics and Symbolic Dynamics of ECG Signal
Abstract: Computer assisted heartbeat classification techniques have gained significant importance in the recent years as they aid the cardiologists in identifying abnormal heartbeats in ECG recordings. These techniques are of vital importance especially for the long term ECG recordings where it is not feasible to manually analyze the numerous heartbeats. Electrocardiogram (ECG) is an electrical representation of human heart activities and change of these activities is reflected in the morphology of …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 37–45 Read article
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Simulation of A New Configuration for Tidal Power Plants: Analysis of Power Generation Increase
Abstract: A new concept in tidal energy use has been developed and modeled. The system is based on nonconventional distribution of tidal turbines in series rather than in parallel, using the stepped profile of the continental shelf. A hybrid configuration of series and parallel distribution of tidal turbines has been studied and analyzed. A third option with quincunx distribution of the tidal turbines has also been studied. The results have been …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 3, 2021 · pp. 8–22 Read article
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In Situ Determination of Surface Porosity and Pore Characterization in Refractories
Abstract: Surface pore characterization and surface porosity determination of test refractories produced to varying porosities were done using image analysis. The surface pore count, pore size and pore area distributions were presented in a surface porosity chart that is characteristic of the surface. Instant visual information from these chart were noted. The sharp beak pattern, for instance, is notable as a chart signature characteristic of a dent or rupture on the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 3, 2013 · pp. 14–22 Read article
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Modeling of Thermoelastic Hollow Cylinder by the Application of Fractional Order Theory
Abstract: The present work deals with the Mathematical Modelling of Thermoelastic Hollow Cylinder occupying the space by the Application of Fractional Order Theory. A hollow cylinder is subjected to convective boundary condition on upper and lower plane surface also zero temperature is maintained on the curved surfaces. The attempt made to analyze the temperature, displacement and thermal stresses of cylinder by using Integral transform technique. Numerical results are computed and represented …
Published in Research & Reviews : Journal of Physics · Vol. 8, Issue 1, 2019 · pp. 46–57 Read article
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Boot Sector Analysis of NTFS File System
Abstract: AbstractWith the vast growth of information technology, criminals are using new techniques to commit crimes that use computer systems. This study is based on the computer forensic analysis of NTFS file system that will be helpful for the collection of digital evidences related to crimes. In this study, we propose techniques that will be helpful to explore the data hidden by the criminals on the hard disk having NTFS file …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 1, 2019 · pp. 1–8 Read article
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Pedestrian Gait Parameter Measurement Using a Cascade of Edge and Corner Detection Technique
Abstract: ABSTRACTMost modern surveillance systems currently rely upon Closed Circuit TV feeds monitoring system. This report documents a new approach towards automating pedestrian recognition within typical video footage. The proposed work shows how the gait parameters can be measured from the video footage using the mathematical theory of Geometry and computer vision and pattern recognition technique which can be further used for recognize individuals. When people walk normal to the viewing …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 75–88 Read article
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A Study On Power Losses And Reduction of Power Losses In Power System
Abstract: Now the world's power supply system is a large unit, large grid, high voltage as the main characteristics of the centralized single system. Although the power load of the world's number is powered by such a single large power grid, the demand for quality and safety reliability of energy and power supply is increasing in today's society, and the large power grid cannot meet this requirement because of its own …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 3, 2021 · pp. 16–25 Read article
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Quantum-Inspired Neural Networks: Accelerating AI for Large-Scale Data Processing
Abstract: Recently, the world of artificial intelligence has been buzzing with exciting ideas inspired by quantum computing, especially when it comes to processing large amounts of data. Introducing the Quantum-Inspired Neural Network (QINN), a novel approach to conventional neural networks that blends concepts from quantum mechanics with machine learning techniques. Unlike typical networks that rely on neurons, QINNs utilize qubit-based representations, enabling them to perform computations in a more flexible and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 12–17 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Comparing Graphical and Algebraic Methods in Solving Linear Programming Problems
Abstract: Linear Programming (LP) is a fundamental optimization technique widely employed across engineering, manufacturing, transportation, finance, healthcare, and other industrial sectors to support effective resource allocation and informed decision- making. Among the various solution techniques, the graphical and algebraic methods remain the two most fundamental approaches, each offering distinct advantages depending on the complexity and dimensionality of the optimization problem. This paper presents a comprehensive comparative study of these methods by …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 33–43 Read article
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A Review of Techniques for Securing Big Data Integrated with Cloud
Abstract: AbstractIn the era of big data and cloud computing, which are the most sophisticated technologies individually with enormous potential; these technologies when integrated can extend themselves seamlessly to solve complicated problems of day-today life. We generate enormous amount of precious data every second related to personal, business to professional field through our digital lives. Big data perfectly fits in this scenario to help us to store, process and manage this …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 34–40 Read article
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A Deep Survey on Techniques Used to Recognize Locust Based on CNN
Abstract: The major threat in agriculture is insect pests and crop disease. Outbreaks and upsurges of insects can cause huge loss to crop production. Locusts are crop devouring pests found in many parts of the world. Recognition of locusts in early stage helps to prevent the spread of locusts by taking appropriate counter-measures and biological control methods. Initially, locusts were classified and recognized manually which is time consuming and requires taxonomic …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 1–8 Read article
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On The Time-Domain Analysis of the Electromagnetic Transients in High-Voltage Line Towers
Abstract: This paper presents an efficient and direct method for the time-domain transient analysis of high voltage power line towers. A Mathematica-based numerical solution of the governing set of simultaneous partial differential and algebraic equations is proposed. The results of a corresponding computer code are presented and discussed. A comparison with other more sophisticated analytical time-and Laplace-domain approaches is presented. In addition to the possible use of the EMTP transients’ program, …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 2, 2023 · pp. 12–20 Read article
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Smart Grid Energy Saving Technique Using Machine Learning
Abstract: The energy authorities provided the computation at reasonable rates for straightforward congestion management. By giving the specific information needed for energy use that is aimed towards client demands, the microgrid enables significant energy cost reductions & better power cash reserves. Processing data and producing predictions for a developing electrical system would be difficult, nevertheless, given the analysis that has been done and the population's characteristics. A Deep Learning (DL) Electricity …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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A Comparative Study on Different Edge Detection Techniques after Applying Noise Removal Techniques to An Image
Abstract: In digital image processing and computer vision, image segmentation plays an important part. image segmentation refers to the sub division of image into different parts on the basis of different factors like edges, region, etc. edge detection is the most important factor of object recognition in an image. but unwanted signals like noise in an image can affect and degrade the edge detection process in image segmentation. this paper aims …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 33–40 Read article
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AI-Based Indian Sign Language Translator
Abstract: Indian sign language (ISL) is the primary form of communication for a large number of deaf and hard-of-hearing people within the Indian subcontinent. However, their interactions with non-signers remain limited, mainly due to the absence of tools that could translate sign language in real time. The present study aims to develop an ISL translation system powered by AI that can automatically convert sign gestures into readable text or spoken output. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 · pp. 23–31 Read article
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Advancements in Molecular Engineering: Innovations at the Nexus of Chemistry and Technology
Abstract: Molecular engineering, a frontier of chemistry, merges precision and innovation to design and assemble molecular structures with unprecedented control. This abstract explores recent advances, highlighting key breakthroughs and their transformative impacts. Starting with its roots in chemical synthesis and materials science, it traces the evolution towards rational design driven by computational tools and advanced characterization techniques, enabling tailored molecular architectures. A focal point is programmable molecules, where DNA nanotechnology principles …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 37–43 Read article
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Computational Biology with Deep Learning
Abstract: Technological advances in genomics and imaging have resulted in an explosion of molecular and cellular profiling data from large numbers of samples. Conventional analytic methodologies are being tested by the increasing expansion of biological data dimension and acquisition rate. Modern machine learning technologies, such as deep learning, promise to make accurate predictions and identify underlying structure in very huge data sets. In this study, we look at how regulatory genomics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 5–8 Read article
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Effect of Welding Factors on Nugget Size of Polymer-Metal Composite Sheets Using Computational Methods
Abstract: Resistance spot welding (RSW) is a vital technique for joining materials in industries like automotive and aerospace. This study extends the application of RSW to polymer-metal composite sheets by developing 2D axisymmetric, thermo-electro-mechanical coupled model in ANSYS. The focus is on analyzing the temperature distribution, nugget formation, and parameter optimization in hybrid composite sheets, emphasizing the unique challenges posed by polymers' thermal and electrical properties. These properties differ significantly from …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 612–623 Read article
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Comparison of the Accuracy of the Computer-guided Surgery with Different Templates
Abstract: The advent of computed tomography and the development of new pre-surgical programming software has completely revolutionized the surgical approach in dentistry. Through virtual study, it is possible to program the surgery with the aim of obtaining a surgical guide that allows for the insertion of an implant in the ideal position. The purpose of this study is to evaluate the different accuracies obtained using different surgical guides. 16 implants were …
Published in Research and Reviews: A Journal of Dentistry · Vol. 14, Issue 1, 2023 · pp. 18–27 Read article