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629 articles for “computational”
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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A Review of Combustion Modeling Techniques for IC Engines: CFD Simulations and Experimental Correlations
Abstract: For a long time, internal combustion (IC) engines have been the mainstay of power generating and transportation systems. However, a move toward cleaner and more efficient engine technologies has been spurred by stricter pollution restrictions and growing environmental concerns. In this context, combustion modeling has emerged as a critical tool for understanding in-cylinder processes and improving engine performance. This review focuses on the evolution and application of various combustion modeling …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 13–20 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Innovations and Sustainability in Structural Engineering:Advanced Materials, Seismic Retrofitting, andComputational Analysis
Abstract: Abstract This paper explores the latest advancements in structural engineering, emphasizing sustainable practices, the development of advanced materials, and innovative computational techniques for structural analysis. Structural engineering, a fundamental discipline within civil engineering, is experiencing significant growth due to increasing environmental challenges, stricter building codes, and the need for more resilient infrastructure. To meet modern demands, advanced materials like high-performance concrete, fiber-reinforced polymers (FRPs), and shape memory alloys (SMAs) have …
Published in International Journal of Structural Engineering and Analysis · Vol. 10, Issue 2, 2024 Read article
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Nanoelectronics, Nanoparticles and Nanotechnology in Treatment of Psychological Disorders
Abstract: Despite significant advancements in neuroscience, our understanding of brain functionality is far from complete, and ongoing research and testing are crucial for expanding our knowledge. With its billions of neurons and sophisticated neural networks, the brain is incredibly complicated, and scientists are always trying to find solutions for these problems. Here are a few reasons why continued research in the field of brain functionality is essential: The human brain is …
Published in International Journal of Environmental Chemistry · Vol. 10, Issue 1, 2024 · pp. 1–18 Read article
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Bullous Lung Disease – A Review
Abstract: Bullous lung disorder is a malfunction featured by the presence of bullae in one or both the lung fields, with typically normal intervening lung, but the case of bullous emphysema is the presence of bullae in a patient with chronic obstructive pulmonary disease (COPD) and is observed by the presence of centrilobular emphysema in the nonbullous lung. The major technique used to assess the bullae formed in Lungs is by …
Published in International Journal of Animal Biotechnology and Applications · Vol. 4, Issue 1, 2018 · pp. 5–9 Read article
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Image Enhancement and Lung Cancer Detection Using Anisotropic Diffusion Filter
Abstract: The leading cause of cancer-related deaths globally is lung cancer. According to the Global Cancer Statistics lung cancer is the leading cause of cancer-related fatalities with 1.8 million deaths and 2.1 million new cases. Early detection of a tiny tumor can stop cancer from spreading and greatly enhance prognosis and survival rates. Consequently, the creation of a sophisticated computer-aided diagnosis system (CADS) may be advantageous for the early therapy of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 1, 2023 · pp. 21–29 Read article
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Design and Construction of an Excavation Supported by Temporary Soldier-Pile Wall for Urban Road Corridor
Abstract: This study addresses a temporary shoring system design used in the construction of an urban road corridor in four areas, with a total length of about 93 m and excavation heights of 5.2 m and 8.5 m. A comparison was made between the original design and a present study. The first condition was calculated manually following Brazilian standards, while the last one was made through computational programs, following the recommendations …
Published in International Journal of Construction Engineering and Planning · Vol. 5, Issue 2, 2019 · pp. 36–63 Read article
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Construction of Interval-Valued Fuzzy Relations Using R-P-B Methodology: A Survey on Edge Detection of Images
Abstract: Edge detection is a very crucial part of image processing and computer vision. Edge detection of images has become a serious challenge to the research personnel. In this paper, an emerging edge detection methodology which computes edges of different images using the technique of combination of Rothwell-Prewitt-Bergholm (R-P-B) operators is presented. Here, the edge detection of images using R-P-B Methodology is compared with each operator separately. Keywords: Edge detection, image …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 1, 2015 · pp. 11–16 Read article
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A Comprehensive Study on Cloud Mining of Cryptocurrencies
Abstract: ABSTRACTThe whole world is going online. Everything is becoming fast and convenient with each passing day and we are now living in a global village, where information from around the world is available on our fingertips. The online community has also influenced the economic world with the advent of cryptocurrencies like Bitcoin. As the world is getting closer, the need for a universal, non-bureaucratic, yet trustworthy online mode of transaction …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 18–23 Read article
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Smart Building using IOT
Abstract: Exemplary brilliant home, web of things, distributed computing and rule-based occasion favorable to cessing, are the structure squares of our proposed progressed savvy home coordinated compound. Every part assumes a significant part in the structure of a brilliant organization. IOT contributes the web association and far off administration of portable machines joined with an assortment of sensors. Sensors can likewise be appended to home related apparatuses, for example, cooling, lights …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 1–7 Read article
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Analysis of Cloud-based System for best Performance by Data Centre
Abstract: Cloud Computing renders us a means by which one can access or lend the applications as utilities, over the Internet. It allows to construct, develop, configure, and personalize applications online. Cloud Computing is basically a lending system in which the investor or technically the service providers purchase the costly and expensive hardware which people couldn’t afford from the hardware creators and lends them and charges for hourly, monthly or you …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 14–23 Read article
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Combination of Sobel-Rothwell-Bergholm Edge Detectors: An Experimental Measure for Edge Detection of Images
Abstract: Edges of an image can be considered as a type of important information which can be extracted by applying several edge detectors with different techniques. Edge detection is a fundamental and crucial subject in computer vision and image processing. In this paper, a novel edge detection technique which computes edges of different images using the combination of Sobel-Rothwell-Bergholm edge detectors is presented. This method can be considered as template for …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 22–27 Read article
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A Survey on Edge Detection of Images Using MPL Approach
Abstract: Abstract Edges of an image can be represented by implementing several edge detectors with different techniques. Edge detection is a fundamental and very crucial part in image processing. In this paper, an improved edge detection technique which computes edges of several images using the quantitative combination of Mathematical Morphology-Prewitt-LOG (MPL) edge detectors is presented. This methodology can be used as template for multi-scale edge detectors for a very wide range …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 14–20 Read article
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Edge Detection of Image: A Programmatic Combination of M-B-P Operators
Abstract: Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Morphological-Bergholm-Prewitt (M-B-P) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range of …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 13–20 Read article
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Anomaly Detection Network for Surveillance Video
Abstract: Anomaly Activity is the prediction of a suspicious activity from a picture or video. This project would include using neural networks to detect suspicious human activity from real-time CCTV video. Human Anomaly Activity is a central issue in computer vision that has been researched for over 15 years. It is significant due to the large number of applications that can benefit from Activity detection. Human pose estimation, for example, is …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 13–20 Read article
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Sign Language Alphabet Detection System
Abstract: Currently, gesture recognition for hands and sign language detection for human-computer interaction isthe main emphasis of computer vision and machine learning. The creation of systems that can identifygestures and use them to transmit data or control devices is one of the main goals. Specifically, handgestures entail dynamic hand movements that require explanations in both the spatial and temporaldomains, whereas hand postures reflect the static structure of the hand. The goal …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 29–35 Read article
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A Comparative Study Of RCNN, YOLO V3-Tiny and YOLO V5 Object Classification Architectures for Accurate Object Classification in Military Domain
Abstract: Late advances in object distinguishing proof computations consolidate speedy and faster RCNN whichmade the ID times also low with high accuracy. In this paper, we demonstrate the reliability of asuggested computation that employs RPN (Region Suggestion Associations) and Fast RCNN (RegionbasedConvolutional Neural Networks) for the distinguishing proof. The RPN gives region suggestionsfrom that we give the ROI (Regions of Interest) as commitment to the RCNN association, it will ingeneral be …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 19–37 Read article
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Beyond Words: Exploring the Boundaries of Text-to-Speech Technology
Abstract: This work presents a novel, effective, and economical method for turning text graphics into audio information in real-time. This method enables visually challenged individuals to efficiently interact with computers through a voice interface. Text extraction from color photographs is a tough computer vision task. Text-to-speech conversion uses OCR technology to convert English alphabets and numbers in images into voices. Of course! The main goal of real-time speech-to-text translation is the …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 2, 2023 · pp. 1–5 Read article