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1035 articles for “Computational techniques”
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Enhancing Computer Science Education through Visualization and Engagement
Abstract: The topic of visualization and engagement in computer science. This research paper attracts attention to computer science education. Computer science education is considered a very difficult course by many computer science students. But given that computer education is such an important science, this paper explores the significance of visualization techniques and engagement strategies in computer science education. Computer science education helps us understand dynamic processes such as the working of …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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Crystal Engineering Strategies for Tailoring Mechanical Properties of Structural Materials
Abstract: Crystal engineering has emerged as a promising approach for designing materials with tailored mechanical properties, enabling advancements in various fields such as aerospace, automotive, and construction. This review examines the diverse strategies employed in crystal engineering to manipulate the mechanical behavior of structural materials. One key strategy involves controlling the crystal structure at the atomic level through techniques such as alloying, doping, and phase transformations. Alloying introduces foreign atoms into …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 01–06 Read article
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Revolutionizing Plant Disease Detection: A Comprehensive Review
Abstract: Rise in population demands more food production but the diseases in plants contribute to loss. The advancement in agricultural field has a remarkable effect in detecting plant diseases. These diseases will have a major impact on the quality of plant and yield and hence can destroy the entire plant if they are not controlled on time. To reduce disease-related losses, it is necessary to identify different types of diseases and …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 44–55 Read article
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Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Hadoop Based Cloud Data Security on Cloud Using Encryption Algorithm
Abstract: Cloud-computing is the typical creative pattern of computing technique for people to apply the Information-Technology its related works along with the cheaper capabilities of computing. The services offered on the web are extending from applying the cloud provider’s hardware and software to controlling the security and other issues. Securing the data from the malignant customers, a process of client-authentication have becomes a significant task. Several securities and the privacy problems …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 40–48 Read article
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Improving DBSCAN using Parallel Computing Approaches
Abstract: AbstractData mining has become the buzz word of computational research due to its enormous economical and social significance. Clustering is subset of data mining operations and is a type of learning using observation techniques. Clustering uses on unsupervised learning model and does not require any training data to generate the clustering model. Clustering enables grouping of similar and dissimilar type of data in separate groups. DBSCAN is on emerging and …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 20–26 Read article
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Design of Triple Band Microstrip Yagi Uda Antenna
Abstract: Abstract A microstrip yagi uda antenna with triple band is proposed in this paper. The design antenna consists of CPW feeding in which the ground plane and the yagi antenna are on the same plane. The resonating frequency of design antenna is 6.29, 7.97 and 9.26 GHz. The antenna had achieved the directivity of 5.232, 5.704 and 6.062 dBi. The impedance of antenna is completely matched at all the three …
Published in Current Trends in Information Technology · Vol. 3, Issue 2, 2013 · pp. 7–10 Read article
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Application of AI Techniques in Three-phase Shunt Active Power Filter in Unbalanced and Distorted Supply Conditions
Abstract: This paper deals with a new improved model of the shunt active power filter having the control scheme using Artificial Neural Networks (ANN) technique in unbalanced and distorted supply system. In this paper, three soft computing techniques viz; Genetic algorithm, Fuzz logic, neural network are used. The simulation results using MATLAB model confirm that combination of these algorithms together create an optimum system, which clearly proves the effectiveness of the …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 3, 2013 · pp. 15–26 Read article
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Numerical Investigation of Slip Conditions in Nanofluid Flow Induced by a Nonlinearly Stretching Sheet: A bvp4c Approach
Abstract: The present work describes a numerical analysis of the steady, laminar flow over a nonlinear stretching sheet in a nanofluid medium. Slip conditions in terms of velocity, temperature, and concentration have been introduced into the mathematical model to capture the impact of interfacial mass transfer on the stretching surface. The problem is modeled to include nanoparticle transportation in terms of Brownian diffusion and thermophoresis, thereby affecting the temperature and concentration …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 34–51 Read article
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CMOS-Based Process-Scalable Analog Circuits for Machine Learning: A Comprehensive Review and Future Directions.
Abstract: Analog computing techniques are gaining attention for machine learning (ML) applications due to their ability to reduce computational complexity. Continuous operations such as addition and subtraction offer a simpler and more efficient approach compared to probabilistic product decoding, which can be sensitive to noise and inconsistent measurements. This paper presents a simulated VLSI implementation of a broadcast edge connection, independent of the MOS component model, along with experimental results. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 8–17 Read article
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Survey on Analysis and Simulation of Permanent Magnet Synchronous Motor (PMSM) under Vibration Effect using Analytical Magnetic Field Calculations
Abstract: In several application domains, induction motor drives have been steadily being replaced in recent years by permanent magnet synchronous motor (PMSM) drives. Due to the compactness, efficiency, resilience, reliability, and shape adaption to the working environment of PM motors, this is starting to become a trend. In high performance applications demanding quieter operation, permanent magnet synchronous motors are widely used. Instead of torque ripples and cogging torque, electromagnetic forces are …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 2, 2022 · pp. 26–33 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Computational Fluid Dynamics Simulations of Horizontal Wellbore Cleaning and Cement Placement Processes in Drilling and Completions Engineering Applications
Abstract: Mathematical modeling and simulations of complex coupled processes require both robust and accurate physics-based techniques. Computational fluid dynamics (CFD) have been used extensively in a wide range of fields such as aerospace, automotive, and chemical processing industries to name a few. Typically, processes during drilling and completion of wells involve modeling of complex rheology fluids, turbulence modeling, multiphase phenomena, and heat transfer. Each individual process could possibly result in a …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 26–39 Read article
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Algebraic Cloud Computing and its Applications
Abstract: An algebraic cloud computing technique is proposed in this paper. From plane to space is the key transformation studied under the context of computational applications. This paper presents a new idea of cloud computing based on relative concept of group theory. Its algebraic properties are applied to design an e-diagnosis system. This e-administration system performs efficiently and securely than classical cloud computing system. The algebraic analysis is presented in this …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 24–30 Read article
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Automated Recognition of Mechanical Parts with Machine Vision System
Abstract: The field of machine vision, or computer vision, has been growing at fast pace. The growth in this field, unlike most established fields, has been both in breadth and depth of concepts and techniques. Computer vision recognition has attracted the attention of researchers in many application areas and has been used to solve many ranges of problems. In this work, recognition of objects manufactured in mechanical industry is considered. Mechanically …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 1–6 Read article
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A Review on FPGA Parallel Architecture for Object Detection
Abstract: The main purpose in the case of present paper is to summarize the different parallel architecture techniques implemented on FPGA by which we can fulfil our requirement of object detection in image processing system. In image processing, it is difficult to find high precision and real time performance even in most powerful CPU. The various parallel architecture techniques can help in to give better performance and achieve high precision. This …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 42–48 Read article