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329 articles for “discipline”
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Integrated engineering on design, development and operation of a Table Top Tokamak for Plasma experiments
Abstract: Making of a Table Top Tokamak is having the acute need for conducting various plasma experimental studies. As pulsed devices, small tokamaks come as handy solutions for plasma experimentalists to study the characteristic behavior of plasma at various operating conditions. In addition, it is a challenge to build a Tokamak from its conceptual design. In this paper, details are brought out for a single mode approach that is required to …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 54–62 Read article
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Neuro-fuzzy Control Systems: A Cross-domain Review
Abstract: This paper presents a comprehensive review of the application of neuro-fuzzy control systems in various industries. Using the combined strengths of neural networks and fuzzy logic, neural-fuzzy control systems emerge as versatile tools to solve challenging control challenges It begins with clarifying the theoretical basis of neural fuzzy systems, and emphasizing their scalability, definition, and robustness. Specific examples in each domain highlight the effectiveness of neuro-fuzzy control in solving real …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 28–37 Read article
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Architectural Evolution of RISC Processors: From Early Research Prototypes to Modern Industrial Implementations
Abstract: This paper surveys the architectural evolution of Reduced Instruction Set Computer (RISC) architectures from early research prototypes to modern industrial processors, tracing four decades of design refinement across academic, embedded, server, mobile, and open- hardware ecosystems. Core ISA principles, pipeline evolution, compiler–hardware co-design, and quantitative performance modeling are analyzed through four representative industrial implementations: MIPS 74K, SPARC T4, ARM Cortex-A72, and SiFive U74 (RISC-V). Each processor is examined in terms …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 29–39 Read article
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Performance enhancementof Discrete Event Simulation in Project Management for Optimal Project Results
Abstract: The key to project success is having clear objectives. A lot of projects fail because their outcomes are not clear and the processes required to achieve them are not clear. Conventional methods of project management often operate on fixed schemes and simplifying assumptions which do not convey what actually happens in production or operation management. Ways of working of similar systems use caution in their assessment; the claim is that …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 20–25 Read article
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Multiscale Catalytic Strategies for Sustainable Chemical Production: Integrating Computational Catalysis, Process Technology and Biocatalytic Transformations
Abstract: The transition toward sustainable chemical manufacturing requires catalytic technologies capable of maximizing resource efficiency, minimizing greenhouse gas emissions, and enabling the utilization of renewable feedstocks. Recent advances in computational catalysis, process technology, and biocatalytic transformations have created opportunities for the development of integrated catalytic platforms spanning molecular, reactor, and process scales. Density functional theory (DFT), machine learning-assisted catalyst discovery, and multiscale modeling have accelerated the rational design of heterogeneous, homogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Box Plots: An Introduction to the Visual EDA Wonder
Abstract: A box plot, also known as a box-and-whisker plot, is a widely used statistical graphic that provides a concise summary of the distribution of numerical data. By displaying key descriptive measures such as the median, quartiles, interquartile range (IQR), minimum and maximum values, and potential outliers, box plots allow researchers to quickly understand the spread and central tendency of a dataset. They are especially useful when comparing distributions across multiple …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 20–30 Read article
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Artificial Intelligence in Trigonometry: Innovations, Applications, and Future Prospects
Abstract: Artificial Intelligence (AI) has transformed numerous scientific fields, yet its integration with classical mathematics such as trigonometry is still emerging. This paper explores how AI enhances trigonometric problem solving, learning, and real-world applications. We analyse AI-driven tools for teaching trigonometry, AI in geometric and spatial reasoning, usage in robotics and computer vision, and future directions for research. Key challenges, methodologies, and case studies are discussed to provide a comprehensive overview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Performance enhancement of Discrete Event Simulation in Project Management for Optimal Project Results
Abstract: The key to project success is having clear objectives. A lot of projects fail because their outcomes are not clear and the processes required to achieve them are not clear. Conventional methods of project management often operate on fixed schemes and simplifying assumptions which do not convey what actually happens in production or operation management. Ways of working of similar systems use caution in their assessment; the claim is that …
Published in Journal of Automobile Engineering and Applications · Vol. 16, Issue 2, 2026 · pp. 20–25 Read article
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An Improved SentiWordNet for Opinion Mining and Sentiment Analysis
Abstract: Opinion Mining and Sentiment Analysis is an emergent research area, spanning over multiple disciplines such as data mining, text mining, etc. Opinion mining is an art of extracting the opinions from the huge set of opinion set or reviews. Sentiment analysis is a type of natural language processing for tracking the mood of the public about a particular product or topic. The existing works of opinion mining used Sentiwordnet as …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 1–7 Read article
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Review Paper for Different Techniques Using Image Enhancement
Abstract: AbstractImage enhancement (IE) performs a basic position in vision purposes. Lately, plenty of work has been carried out in the discipline of IE. Many tactics have already been proposed until now for reinforcing the digital pictures. This paper has presented a comparative analysis of quite several IE methods. This paper has proven that the fuzzy logic (FL) and histogram founded tactics have fairly amazing outcome more than the obtainable systems. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 1, 2017 · pp. 27–32 Read article
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Exploring the Training Potential of Recent Virtual Robotic Platforms: A Comprehensive Review
Abstract: AbstractIn recent years, deployment of robotic manipulators in industries and other fields has increased significantly. This growing trend highlights the need of trained engineers and technicians. Virtual robotic platforms facilitate engineers to acquire knowledge and hands-on exposure of cross-disciplinary field of robotics without requiring expensive and sophisticated equipment in laboratories. In this paper, a systematic review of academic and vocational frameworks is presented with a focus on training and teaching …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 9–25 Read article
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New Leap in Quantum: Prosthetic Brain
Abstract: AbstractThe world is facing a new era of technological influence today. It is our creativity that has done wonders. Knowledge today has given us some great theories while invention gives us some best tools for anticipating the creativity out of our minds. Fields like Artificial Intelligence and theories like quantum mechanics are incredible on their part; they prove to be the best invention of the mankind. The science of creating …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 30–34 Read article
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Methods for Identifying Regions of Brain Establishment Using Functional Magnetic Resonance Imaging
Abstract: AbstractPurposeful neuro imaging could be a comparatively young discipline inside the neurosciences that has led to important advances in our understanding of the human brain and progress in neuro research project associated with public health. Accurately distinctive activated regions within the brain showing a powerful association with associate in nursing outcome of interest is crucial in terms of sickness prediction and interference. Purposeful resonance imaging (fMRI) is the most generally …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 12–15 Read article
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Mobile Agent Based Communication using AES and RSA
Abstract: AbstractMobile agents have got large amount of attention of researchers. Because of mobile agents, the distributed computing over the internet has been more safe and secure. Mobile agents are software modules, contain data itself and able to move autonomously from one host to other to perform tasks and automatically come back to the host where they were initialized. Although they have so many qualities such as dynamism, autonomy, flexibility etc. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 2, 2017 · pp. 6–16 Read article
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Developing Operating System Simulation Software for Windows Based System by C# .NET Framework and an Android Application by JAVA and XML
Abstract: AbstractThe academic course named operating system (OS) is very important for undergraduate students in computer science and engineering (CSE) related discipline. In this course, the teachers mainly deliver lectures on the fundamentals issues of OS, process scheduling, paging, deadlocks handling etc. In this paper, windows OS based desktop simulation software has been developed with a view to coordinating the teachers and students to conduct the OS course interactively. Also, the …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 1, 2017 · pp. 9–18 Read article
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Financial Forecast: Systematic Analysis Using Principal Component Analysis
Abstract: The most popular technique for data exploration and analysis across all scientific disciplines that can influence the classification model's accuracy is principal component analysis (PCA). In this study, the high dimensionality of the stock market is examined in order to forecast market movements using PCA in conjunction with linear regression. While reducing data redundancy, PCA can aid in enhancing the predictive performance of machine learning techniques. The New York Stock …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 2, 2022 · pp. 18–24 Read article
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Natural Frequency of Plate by Using Rayleigh Ritz Method with Varying Thickness and Thermal Effect
Abstract: Plate systems had been intensively used in a diffusion of engineering disciplines concerning civil engineering, aerospace, construction zone, nuclear flowers, electricity flora, marine engineering. It may additionally use for production of wings and tails of the plane, rockets and missiles etc. A through expertise of their vibrational characteristics in conjunction with specific thermal conditions is of extremely good significance to engineers and architects ensuring reliability in layout procedure. In this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 1, 2020 · pp. 28–33 Read article
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Machine Learning Techniques for Diabetes Prognosis
Abstract: Diabetes is a long-term illness that has the potential to devastate the global health-care system. Diabetes will affect 522 million people worldwide by 2033. Diabetes develops in eagerness, hunger, and the process of excreting due to high blood sugar levels.. Among other problems, diabetes is a primary cause of blindness, renal failure, amputations, heart failure, and stroke. Our bodies convert food into sugars, or glucose, when we consume it. At …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 25–32 Read article
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Artificial Intelligence’s Foundation for Neural Correlates of Consciousness
Abstract: Consciousness is an aggregation and multidimensional phenomenon that has been the subject of intense research across various disciplines. In recent years, the field of computational neuroscience has made significant strides towards understanding the underlying mechanisms of consciousness and its potential implementation in machines. The neural network correlates of consciousness are important elements of neuronal aggregates that are involved in conscious awareness but are not uniformly distributed throughout the central nervous …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 14–20 Read article