Search
1926 articles for “process” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Face Recognition or Detection using Image Processing and How Image will be Process Age Wise
Abstract: Biological feature popularity is a type of identification era that uses the person’s special mindset or behavior feature. It furnished of excessive accuracy, accurate balance technique to status prizing. Face reputation is very famous wing of the organic aspect popularity. And also, is very energetic situation in the range of laptop view and pattern popularity. Face detection is technique to hit upon face from a picture which have numerous aspects …
Published in Research and Reviews : Journal of Computational Biology Read article
-
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
-
Optimization of Process Parameters for AISI 304 Using Micro-EDM Drilling Process Through Response Surface Method
Abstract: The increasing demand for micro-parts in high-tech products, such as micro-electromechanical systems (MEMS) applications and micro-electronic devices, has driven significant advancements in micromachining technologies. Among the various micromachining processes, the fabrication of accurate microholes and pins is critical for the performance and reliability of miniature components. Micro-hole drilling plays a vital role by enabling the production of deep holes with excellent straightness, roundness, and surface quality. It is widely used …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 37–47 Read article
-
Face Recognition or Detection using Image Processing and How Image will be Process Age Wise
Abstract: Biological feature popularity is a type of identification era that uses the person’s special mindset or behavior feature. It furnished of excessive accuracy, accurate balance technique to status prizing. Face reputation is very famous wing of the organic aspect popularity. And also, is very energetic situation in the range of laptop view and pattern popularity. Face detection is technique to hit upon face from a picture which have numerous aspects …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 2, 2021 · pp. 10–15 Read article
-
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
-
A Comprehensive Ahp-Topsis Approach For Non-Traditional Machining Process Selection In The Manufacturing Sector
Abstract: Non-traditional machining processes (NTMPs) are being used more widely in modern industry as a result of the increased use of advanced materials in that sector. Selecting the best Non-Traditional Machining Process (NTMP) is essential to a manufacturing company's success and competitiveness. One way to think of the process of choosing the best NTMP for a given machining processes application is as a multi-criteria decision-making (MCDM) problem with a lot of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
-
A Thorough Examination of the Chemical Engineering Process: Fundamentals, Design, and Application
Abstract: This article gives a full picture of the chemical engineering process, focusing on the basic ideas, methods, and tools that make up the profession. It looks at how chemical, physical, and biological processes change raw materials into useful goods, with a focus on how design, optimization, and control work together in industrial systems. Some of the main topics talked about are process design, thermodynamics, reaction engineering, transport phenomena, and sustainability. …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 14–25 Read article
-
Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
-
Valorization of Shrimp Processing Waste by Green Methodology and its Application in Chitosan-PEG Composite Film
Abstract: Shrimp processing waste is mostly unidentified marine by product, presents considerable environmental pollution which also offers a rich but not fully exploited sources of biopolymers. The current work presents a sustainable method to convert shrimp processing waste into chitosan a biopolymer by green methodology. Isolation of chitin to chitosan from shrimp processing waste was carried through four green methodology steps i. Demineralization using citric acid ii. Deproteinization using papain iii. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1154–1162 Read article
-
Optimization of Process Parameters for AISI 304 Using Micro-EDM Drilling Process: A Review
Abstract: Today, a variety of microparts are needed to fabricate high-tech items including MEMS applications and micro-electronic parts. The advancement of micromachining technology becomes ever more important in order to produce these micro parts. The creation of accurate holes and pins is one of themultiple processes in the micromachining process that is necessary for many small components. In order to create deeper, more straight holes, micro-hole drilling is utilized in a …
Published in Journal of Materials & Metallurgical Engineering · Vol. 13, Issue 3, 2023 · pp. 26–37 Read article
-
Optimization of Process Parameters for ABS, Nylon, Polypropylene Material in Injection Molding Using Taguchi Method
Abstract: The process of plastic injection molding (IMP) itself is a multifarious of time, temperature and pressure variables with a profusion of manufacturing defects that can occur without upright fusion of processing parameters and design components. Ascertaining the reform foremost process parameter settings commentative dominates productivity, quality, and costs of production in the plastic injection molding industry. Most plastic injection molding industries are using trial-and-error method/approximation method, based on experience of …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article
-
Effect of Electrode Extension and Width of the Plate on Distortion and Residual Stresses Using Submerged Arc Welding Process
Abstract: Welding is a reliable and efficient joining process in which the coalescence of metals is achieved by fusion and is used extensively in the fabrications of many structures, buildings, ships, pressure vessels, etc., due to many advantages it has, over the other fabrication processes. Localized heating during welding, followed by rapid cooling, can generate residual stresses and distortion. However, distortion is a problem encountered during welding. The presence of distortion …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 23–30 Read article
-
Influence of Process Parameters of TIG Welding Process on Mechanical Properties of SS304L Welded Joint: A Review
Abstract: The purpose of this study is to study the effects of various process parameters (welding current, filler materials and groove design) of tungsten inert gas welding (TIG) on aspect ratio, hardness and impact strength of SS304L welded joint. Aspect ratios are obtained by taking the ratio of bead width and bead penetration. This bead dimensions can be measured by digital vernier calipers. Weld joint quality depends on the bead dimensions. …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 11–17 Read article
-
Revamping of Pharmaceutical Manufacturing Processes
Abstract: The pharmaceutical sector is entering a new era marked by technological advancements and an emphasis on sustainability and efficiency. A commitment to compliance can help boost consumer confidence and regulatory approval. This abstract explores the multifaceted approach to revamping pharmaceutical manufacturing processes, encompassing technological integration, regulatory compliance, and sustainability initiatives. Technological advancements, including automation, data analytics, and artificial intelligence, are playing a pivotal role in streamlining manufacturing operations. These innovations …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 38–44 Read article
-
Unravelling the Impact of AI: Insights into Pattern Recognition and Image Processing
Abstract: Apart from its academic origins, the evolution of Artificial Intelligence (AI) has emerged as a notable influence in shaping our daily experiences. Artificial intelligence, which focuses on domains such as image processing and pattern recognition, encompasses a vast array of topics, including its complex applications, obstacles, and societal repercussions. Machine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems, Knowledge Representation, and AI Ethics are among the domains in which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
-
Proposed System: Quantum Computing Processor Based on Linear Number Relation
Abstract: This paper details the design and implementation of a specialized quantum processor tailored for efficiently evaluating custom mathematical formulas. Optimized to perform a specific set of arithmetic and logical operations, this processor delivers a stable and high-performance computing platform. Unlike general-purpose quantum processors, which are designed for versatility across a wide range of algorithms, this dedicated processor aims to enhance performance and accuracy for a targeted set of tasks. The …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article
-
Optimizing Data Processing Efficiency in Big Data: Advanced MapReduce Algorithm Innovations
Abstract: The exponential growth of big data in recent years has created an urgent need for innovative and efficient processing frameworks capable of managing and analyzing massive and complex datasets. Among these, MapReduce has gained prominence as a powerful tool for distributed data processing due to its simplicity and scalability. However, traditional MapReduce frameworks often encounter significant limitations in terms of efficiency, scalability, and resource optimization, particularly when handling large-scale and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
-
Hybrid Machining Processes in Advanced Manufacturing: A Review of Mechanisms and Industrial Applications
Abstract: Hybrid machining processes (HMPs) have gained considerable attention in recent years as an effective approach to address the growing complexity and performance demands of modern manufacturing systems. These processes combine two or more machining techniques—such as mechanical, thermal, chemical, or electrical methods—into a single setup, enabling enhanced productivity, precision, and adaptability, particularly for hard-to-machine materials like ceramics, composites, and superalloys. The integration of distinct energy sources results in synergistic effects …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 19–24 Read article
-
Firefly Algorithm–Based Optimization of Processing Parameters for Enhanced Performance of Polymer Composite Materials
Abstract: Polymer composite materials are extensively used in aerospace, automotive, and oil & gas applications due to their high strength-to-weight ratio and design flexibility. However, achieving optimal mechanical and thermal performance strongly depends on precise control of processing parameters such as curing temperature, energy consumption, and material utilization. Conventional trial-and-error approaches often lead to excessive energy usage, non-uniform curing, and sub-optimal composite properties. To address these challenges, this paper proposes an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 90–107 Read article
-
A Comprehensive Study of Natural Language Processing Systems Using Modern Programming Languages: Techniques, Architectures, Experimental Evaluation and Applications
Abstract: Natural language processing is a key field of study within artificial intelligence that focuses on enabling machines to understand and work with human language. This is because there is much digital text data everywhere. Natural Language Processing is what this study is about. It looks at new ways of doing Natural Language Processing. The old ways are like machine learning, and the new ways are like learning. This study compares …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 12–23 Read article