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1320 articles for “Computer Applications”
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Enhancing Library Engagement: A Student-Centric Study at MDSD College, Ambala City
Abstract: The primary objective of this study is to examine the patterns of library usage, reading habits, motivational drivers, and the barriers that influence students’ engagement with library services at MDSD College, Ambala City. The research aims to identify both enabling and inhibiting factors to enhance the effectiveness of library resources and promote a vibrant reading culture. A quantitative research design was employed using a structured questionnaire distributed to a sample …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 15–27 Read article
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Measurement of Program Outcomes Attainment for Engineering Graduates by using Neural Networks
Abstract: AbstractThis paper aims to provide an evaluation method for the attainment of program objectives for engineering graduates as defined by NBA (National Board of Accreditation). As NBA requires specific evaluation techniques and measurement methods for measuring the attainment of course outcomes, program outcomes and program educational outcomes; this paper provides a solution of the measurement techniques using neural networks. The performance of all the students of a batch can be …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 21–24 Read article
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Wireless Biosensing Polymer Composites for Smart Healthcare Devices
Abstract: The wireless biosensing polymer composites have been found as one of the possible solutions in developing flexible, real-time and intelligent healthcare monitoring systems. Biomimic polymer matrices coupled with conductive nanomaterials can be used to design an understanding of physiological signals (strain, pressure, and temperature) that are highly sensitive and adaptable sensors. The attachment of these sensors to wireless communication systems, such as the Bluetooth Low Energy and Wi-Fi, eases the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 14, 2026 Read article
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Implementation of Floating Point Multiplier Using Dadda Algorithm
Abstract: Floating point multiplication is very useful in all the computation applications like in arithmetic operation, DSP application etc. To achieve higher speed of the mantissa, multiplication is done using Dadda multiplier which works on the basis of Dadda algorithm. Through this architecture we gain high speed with a maximum frequency and also reduce the number of gates compared to existing multipliers; and through floating point format it is possible to …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 1, 2016 · pp. 16–22 Read article
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Bangla Handwritten Digit and Basic Letter Recognition Using Machine Learning Techniques
Abstract: AbstractThe usage of computer is increasing day by day in Bangladesh, so the use of Bangla is increasing in computer. Furthermore, the use of Bangla handwritten character is also increasing in many computer applications. There exist many techniques for recognition of handwritten character. From the studies we see that machine learning techniques are better techniques for recognition of handwritten character than others. A necessary prerequisite for measuring the performance of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 1–15 Read article
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Monitoring System for Coma Patient using Variable Motion Sensors
Abstract: It is very crucial to continuously monitor the coma patient to understand their health condition rather than the normal patient. The vital reason for this project is to make life easier for the doctor or the close ones. In case when any moment occurs in the patient, the system will detect and generate the message and sent it to any family members and to the doctor. And it will continuously …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 2, 2019 · pp. 8–16 Read article
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Artificial Intelligence Powered Computer
Abstract: Gesture control along with Artificial Intelligence has been very interesting topic in image processing for a long time. This is because it is very difficult for a computer to differentiate between background and foreground data in a given image. These technologies enable a person who has zero interaction with computer to use the various computer technologies like controlling cursor and certain functions of various computer applications. In this project we …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 1–10 Read article
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A Comparative Analysis on CBIR with its Methods and Real Life Applications
Abstract: In a large database, a novel method which is called CBIR, is applied for finding images. As the multimedia and network technologies development are for additional famous, users are not fulfilled with the traditional data retrieval techniques. In present days, CBIR is a fast retrieval method and is becoming exact source technique. CBIR techniques variety have already established to CBIR performance increase. In this paper, we study about CBIR and …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 1–7 Read article
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A Review on Linux Operating System
Abstract: Among all growing operating systems (OS), Linux is widely used across the world, and more and more people started using Linux OS for various purposes. During this article, we have summarized the subjects like Linux and Unix, Linux and free software, Linux and windows, Linux and embedded system. Linux may be open source software. Open-source software (OSS) is computer software with its ASCII text file made available with a license …
Published in Journal of Advances in Shell Programming · Vol. 8, Issue 2, 2021 · pp. 10–14 Read article
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Use of Computer Optimal Interpolation for Prognosis of Metastases Appearance Timing and Estimation of the Results of Treatment of Malignant New Formations
Abstract: The prognosis of metastases appearance timing and estimation of the results of treatment of the malignant new formations is a very important and vital problem of clinical oncology. Improvement of the existing methods of estimation of metastases appearance timing and of the results of malignant new formations treatment is important for development of new methods of metastases prevention and for the effective estimation of the results of treatment. In this …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 8, Issue 3, 2019 · pp. 1–8 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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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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An Augmented Reality-based Application
Abstract: Abstract: This paper is the art of applying 3D design and to implement the computer-generated 3D environment to our real- world environment using the latest augmented reality (AR) technology for entertainment or for educational or experimental purposes. Through this project we want to design and build an application and a game which helps to augment the computer-simulated environment into our real-world and which is a very latest and fastest growing …
Published in Current Trends in Information Technology · Vol. 9, Issue 3, 2019 · pp. 14–39 Read article
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Distinguishing the aspects of Amazon web services and Microsoft Azure
Abstract: With the increase in technology.and new upcoming trends and innovations the businesses are moving from on-premises to cloud whether it be the new startups or existing enterprises the organizations find cloud to be more feasible. In this research there is a brief analysis of top Mobile cloud service providers namely AWS and Azure. In the recent year it has been seen that many business are shifting to cloud services. So …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 3, 2021 · pp. 18–24 Read article
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Air Computing: A Parallel Computing Module for Offloading Computational Workload on Neighboring Android Devices
Abstract: Developing complex applications which requires the increasing computational requirements is sophisticated and remains a daunting task. For application developers, countering the real-time computing in mobile devices has always remained a demanding job to ask for more computational power and energy usage than that offered by devices of present generation. In this paper, the author presents an out of the box air computing technology which aids the developers to run real-time …
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 3, 2014 · pp. 10–13 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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Secure Cloud Architecture for Service Oriented Applications
Abstract: Abstract: Cloud computing has changed the design of data storing and application serving infrastructures in industries. It has provided methods by which developers and architects can easily serve application to users without worrying about downtime and hardware. The need of developing infrastructure in house is becoming obsolete, mainly because of the cost of maintaining the servers and their security. The architecture proposed in the paper helps in maintaining the application …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 21–28 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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A Five-Layer Architectural Framework for Sustainable and Scalable AI Systems
Abstract: Artificial Intelligence (AI) is not only about algorithms. AI works like a full “stack” of layers, from electricity to real-world user applications. In this paper, we explain a simple and student-friendly Five- Layer Architecture of AI: (1) Energy, (2) Chips, (3) Infrastructure, (4) Models, and (5) Applications. Each layer supports the next layer, like a cake with multiple layers. If any layer is weak, AI systems become slow, costly, or …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article