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1320 articles for “Computer Applications”
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Mitigation of Mobile Radio Parasitic Radiation Effects: A Review
Abstract: ABSTRACT In this paper, mitigation techniques useful for improving mobile radio systems power efficiency and decreasing electro-smog and specific absorption rate (SAR) induction, affecting human head and body, are presented. An analysis of main radiation effects from far field base stations and review of mitigation techniques for enhancing the efficiency of power transmission for mobile radio systems is shown, followed by an investigation of the complex radiation field components from …
Published in Journal of Communication Engineering & Systems · Vol. 2, Issue 1, 2012 · pp. 1–12 Read article
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Requirement of the Dynamic Metrics to Measure the Behaviour of Component-based Software
Abstract: Software component has been developed lively. Component-based Software Development (CBSD) is becoming more generalized, representing a considerable market for the software industry. However, the measurements of software components have become an integral part of software development and are used during every phase of the software development life cycle. With the help of conventional static metrics we are not able to analyse various facts of software. It is very important to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 2, 2014 · pp. 10–13 Read article
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A Review on Use of CFD in Combustion Modelling
Abstract: The study of the CFD in various sectors is becoming very efficient day by day. In The study of the CFD in various sectors is becoming very efficient day by day. In this paper, a review on combustion modelling is presented in detail and the future scope is also discussed. Combustion modelling has become popular because of its advanced technology and easy computational work in a wide area of application. …
Published in Recent Trends in Fluid Mechanics · Vol. 2, Issue 2, 2015 · pp. 26–32 Read article
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Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle
Abstract: Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 21–27 Read article
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TensorFlow: Architecture, Applications, and Future Challenges
Abstract: TensorFlow, an open-source machine learning platform created by Google, has revolutionized how artificial intelligence (AI) systems are built and implemented. Designed to support scalable and flexible model training across CPUs, GPUs, and TPUs, TensorFlow enables researchers and developers to construct advanced deep learning models with efficiency and precision. This study provides an in-depth examination of TensorFlow's architecture, including its use of dataflow graphs and tensor-based computation. We explore its adaptability …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 41–50 Read article
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Supporting Search as You Type using Incremental Computation and Neighborhood Technique
Abstract: AbstractThe objective of the project is to develop the application Search-as -you-type system, used to show the results based on user query. If user enter any misspelled queries in search engine, automatically it corrects the misspelled query in search box. In the proposed system, concentrate on high performance to attain a speed of searching and showing the results very quickly and corrects the incorrect word. The performance of search is …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 26–29 Read article
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Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges
Abstract: The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots' capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 31–43 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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A High Frequency and Power Efficient Memristor Emulator and Its Application
Abstract: This study presents a small, energy-efficient memristor emulator made for use at high frequencies. The proposed circuit has a simple design that only includes three n-type MOSFETs and a grounded capacitor. This means that there is no need for active components or DC biasing. This streamlined architecture not only makes things easier, but it also uses very little power, with dynamic and static power measured at 15.82 μW and 65.6 …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 45–52 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Fault Investigation of Rolling Element Bearing using Soft Computing
Abstract: AbstractRolling element bearing is the most significant mechanical component of any rotating machinery and used in vast applications from the surgical machine tool to aircraft etc. In the present research, an experimental investigation has been done using vibration analysis, continuous wavelet transform (CWT), and soft computing, i.e., support vector machine (SVM) and k-nearest neighbor (k-NN) for fault detection and diagnosis of rolling element bearing. Vibration signatures in the time domain …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 8–22 Read article
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Recent Trends and Techniques in the Advanced Microcontroller Bus Architecture (AMBA) Protocol: A Comprehensive Review
Abstract: ARM has created the Advanced Microcontroller Bus Architecture (AMBA) that is used as the main method for communication on chips in today’s embedded systems. Since AMBA is built to scale and combine with other components, it allows data transfer to high-performance and low-power components easily. The paper discusses how AMBA protocols have evolved and presents new trends of producing higher data rates, conserving energy, and lowering latency. This study offers …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 9–15 Read article
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Human Skin Abnormality Detection with Process Similarity Criteria Fit Machine Learning Method
Abstract: This method presents a machine learning method that satisfies the defined conditions for healthy waterside beach activities. The boundary conditions of the normal and abnormal radiation spaces were formulated. The objectives of using a Regression Polynomial with Process Similarity Criteria Fit for skin temperature prediction are justified by the analysis of the existing analytical and machine learning approaches. An algorithm for skin temperature prediction using the theories of similarity criteria …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article
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The Future of Cloud Computing and Its Potential Impact on Business
Abstract: Cloud computing continues to evolve as a pivotal technology shaping the modern business landscape. This article delves into the anticipated trends and potential implications of cloud computing for businesses. It outlines a comprehensive journal structure, including key topics such as the current state of cloud computing, emerging trends, impact on business operations, implications for business growth, challenges, future projections, case studies, and concluding recommendations. Furthermore, it offers a list of …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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A Survey of Edge Detection and Object Segmentation from Contour based Soft Computing Approaches
Abstract: Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging field with the wide applications in edge detection and image segmentation. Such a process of partitioning the pixels regions of the digital images with boundary between two homogenous regions refers to the detection of edges. There was various approaches that have been implemented to achieve the same but their performance and its scope of …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 16–20 Read article
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Architectural and Technological Progress in Modern Mobile Computing
Abstract: Over the last decade, mobile technologies have experienced rapid and transformative growth, reshaping the way individuals interact with the world and redefining multiple sectors, including healthcare, education, communication, and commerce. Continuous improvements in mobile hardware, such as faster processors, enhanced sensors, and longer-lasting batteries, have significantly improved device performance and usability. At the same time, the widespread development of mobile applications has expanded the functional scope of smartphones, enabling personalized, …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 20–31 Read article
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Significance of Digital Libraries
Abstract: Data innovation has influenced the productivity of exploration exercises in numerous perspectives. There is an emotional addition in the quantities of scholarly computerized libraries nowadays; yet it is seen that a large portion of them is not taken advantage of to their full use. We propose a Web application in type of examination library where one can redo research assets to meet their requirements. Examination library is a specific scholarly …
Published in Journal of Advancements in Library Sciences · Vol. 8, Issue 3, 2021 · pp. 22–27 Read article
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Multi-Criteria Decision Making: A Complete Review on Selection, different problems and Adoption of Cloud Service
Abstract: Abstract- With the tremendous growth and use of raw and factual data in the modern world, it’s required to use an efficient approach in the selection of cloud services. With the complex and inter-dependent necessities of different users over different platforms along with the service models of cloud, hybrid approaches are preferred widely by the users for their scalability and availability features. This article offers a comparison between the available …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 2, 2019 · pp. 11–15 Read article
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Learning-based Edge Detection for Video Sequences
Abstract: The advancing fields in video technology like that of 3D TV and Free Viewpoint Video essentially requires more information to transmit in addition with the 2D color maps. This information is the depth maps of the accompanying scenes from the videos sequences in order to facilitate rendering of arbitrary viewpoints within it. Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging fields with …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 1–19 Read article
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Distributed Data Mining Cloud Based System
Abstract: When traditional data mining systems are used for cloud computing, there are performance bottlenecks and scalability difficulties. In this study, it states that a data mining platform is directly based on the cloud computing. As compared with the traditional data mining systems, the platform is highly scalable, with massive data processing capabilities, service-oriented and low hardware costs. The platform can support the design and application of various distributed data mining …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 3, 2018 · pp. 10–14 Read article