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1934 articles for “processing methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Optimizing Milling Parameters in Face Milling Operation
Abstract: In statistics, response surface methodology (RSM) establish a relationship between several self or system explanatory variables and one or more response variables. Since many variables are involved to control the process, the requirement of some mathematical models to represent the process is found to be necessary. In order to extract the result by this statistical analysis, the experimental results will have to be processed using the analysis of variance (ANOVA). …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 60–76 Read article
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A Review on Bioremediation of Polluted Environments and Uses of Bacteria to Detoxify and Destroy Environmental Toxins
Abstract: Environmental biotechnology's fast evolving and developing field of bioremediation uses microbes to clean up polluted areas. Although bioremediation is a promising method for improving environmental conditions, our limited knowledge of how biological factors contribute to its effects and its effects on the ecosystem has made it difficult to develop the technology and make it safer and more dependable. These cutting-edge molecular microbiological approaches will offer fresh perspectives on bioremediation in …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 12, Issue 2, 2022 · pp. 36–40 Read article
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Enhancing Robot Autonomy: Integrating AI for Advanced Decision-making in Autonomous Robotic Systems
Abstract: The capabilities of autonomous robotic systems have been drastically changed by the rapid progress in artificial intelligence (AI) technologies. In this work, we investigate the integration of AI approaches to improve robot autonomy by presenting even more advanced mechanisms for decision-making. Almost all traditional robotic systems involve predefined algorithms, making them unable to cope with dynamic environments. They can also help with learning based on machine learning and deep learning …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 28–37 Read article
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Operational Modeling of Cutting Parameters Influence on Power Consumption and Surface Roughness in CNC Turning of AISI 304
Abstract: This paper describes the power consumption and surface roughness predictive model development in computer numerical control (CNC) turning of AISI 304 austenitic stainless steel using Taguchi method and response surface method (RSM). The experiments are designed and conducted based on Taguchi’s design of experiments (DoE) with cutting speed, feed rate, depth of cut and nose radius as the process parameters. Signal-to-noise (S/N) ratios of responses are calculated to identify the …
Published in Journal of Production Research & Management · Vol. 3, Issue 1, 2013 · pp. 8–15 Read article
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Steel Structural and Functional Characteristics Focusing on Corrosion Mechanisms
Abstract: This research article examines steel structural and functional characteristics, focusing on corrosion mechanisms and inhibitor protection strategies. Steel corrosion affects numerous industries, causing significant economic losses and safety risks. Fundamental electrochemical processes behind various corrosion forms including uniform, pitting, crevice, galvanic, intergranular, and stress-induced corrosion are explained. The chapter highlights the steel industry's importance while investigating how corrosion impacts performance and longevity. Protection methods discussed include material selection, environmental modification, …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 25–34 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 4, 2023 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Biodecolorization of Textile Dye Effluent by Biosorption on Plant Biomass and Equilibrium Modelling
Abstract: AbstractDye effluent discharge into water bodies leading to water pollution. Each textile dye process requires a different amount of dye and also it generates a different amount of effluents. Most of the physico-chemical methods are insufficient and highly expensive. Biosorption is an alternative technology for the treatment of different textile and other effluents. Aquatic plants specially water hyacinth showed a greater potential to use as biotrap for textile effluent treatment. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 1, 2019 · pp. 15–25 Read article
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PAPR Reduction for OFDM System Using Adaptive PTS Combined with Interleaving Technique
Abstract: Partial transmits sequence (PTS) is one of the methods used for reduction of the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) scheme. In this, as the number of sub-blocks and rotation factors increases PAPR is reduced. While increasing the number of subcarriers, the complexity exponentially increases and thus, there occurs the process delay. An adaptive PTS scheme collectively with localized and interleaving technique has been proposed in this …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 3, 2015 · pp. 39–46 Read article
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Securing CFA Images through the Simultaneous Hybrid Encryption-Watermarking Method Using Quaternions
Abstract: In order to protect digital data against unauthorized copying, falsification and redistribution over the internet, we proposed a new hybrid method of simultaneous encryption-watermarking of CFA (Color Filter Array) images. The CFA images are important for image analysis because these raw images have not undergone any process (interpolation, demosaicking, etc.) that might alter their reliability. This article presents a study of a new technique for the secure transfer of CFA …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 17–28 Read article
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Fluid Flow and Solidification Analysis in Gravity Die Casting (GDC)
Abstract: Gravity die casting is a process wherein the fluid metal is poured into metallic moulds without application of any external force. The fluid metal enters the cavity by gravity method. In the design of dies for GDC, usage of “cores” is an important issue. The undercuts and the hollow shapes are produced with the help of additional mould parts called “cores”. For simple shapes without any under cuts the metallic …
Published in Recent Trends in Fluid Mechanics · Vol. 1, Issue 3, 2014 · pp. 38–48 Read article
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Numerical Simulation of Transient Free Convection in a Rectangular Cavity Filled with Porous Material Using Finite Element Formulations
Abstract: In this study, the finite element method is used to quantitatively explore transient free convection in porous cavities in order to understand the flow characteristics and heat conduction processes in the square cavities. In comparison to an uniform temperature gradient, the left wall is swiftly heated and the right wall is allowed to cool to a specific temperature. The horizontal walls are insulated on both sides. Dimensionless representations of the …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 1–10 Read article
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Challenges and Opportunities in the Catalytic Conversion of CO₂ to Value-Added Chemicals
Abstract: The catalytic conversion of CO2 into value-added chemicals presents a promising strategy for tackling the dual challenges of greenhouse gas emissions and the sustainable production of chemicals. This process transforms CO2, a major contributor to climate change, into useful products such as methanol, formic acid, and hydrocarbons. Such an approach not only helps mitigate CO2 levels in the atmosphere but also generates economically valuable products, thereby supporting both environmental and …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 30–35 Read article
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A Comprehensive Review on the Miniaturized Analytical Techniques for Sustainable Pharmaceutical Testing
Abstract: Miniaturized analytical techniques are revolutionizing pharmaceutical testing by offering sustainable and efficient alternatives to traditional methods. These techniques are designed to reduce sample and reagent consumption, minimize waste generation, and accelerate analysis, aligning perfectly with the principles of green analytical chemistry. This comprehensive review aims to thoroughly explore the landscape of miniaturized analytical techniques, specifically highlighting their profound impact on fostering sustainable practices within the pharmaceutical sector. The review systematically …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 18–39 Read article
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Parallel Algorithms for Mean, Variance, and Standard Deviation over a 2D-Mesh Network
Abstract: Abstract: Due to advanced technology and usage of internet at worldwide scale, there has always been a challenge to handle and manage the huge amount of data in an efficient way. There are so many statistical and non-statistical methods applied to data to find result and conclusions that can later be used to solve many other complex problems in an easy and fast way, which also reduces the cost. In …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 3, 2019 · pp. 17–22 Read article
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Methodology for Estimation of Direct and Indirect Carbon Footprint of Cement Industry
Abstract: The present study describes the methodology to estimate direct and indirect carbon footprint of cement industry using Intergovernmental Panel on Climate Change (IPCC) Guidelines for National Greenhouse Gas Inventories. Major construction element produced in almost all countries is cement and cement manufacturing process is an energy and carbon intensive process. Cement industry contributes about five percent of global anthropogenic carbon dioxide emissions. Upto till date, indirect carbon footprint and fewer …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 4, Issue 1, 2014 · pp. 13–21 Read article
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Springback of High Strength Steel Sheet and Preventive Measures
Abstract: The purpose of this paper is to improve the accuracy output of cold stamping product by accommodating springback. This is an experimental study to improve the accuracy of springback analysis and die compensation process during CAE of part. The springback shape and the target part are used to optimize the die surfaces compensating springback. This paper describes the springback behavior of HSS steel based on phenomenon and preventive measures based …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 24–31 Read article
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Role of Crispr-Cas9 in Plants
Abstract: The innovative CRISPR Cas9 system has emerged as a game changing genetic engineering tool in years offering levels of precision, efficiency and flexibility in editing the genomes of various organisms, including plants. This summary aims to provide an examination of the role of CRISPR Cas9, in modifying plant genomes highlighting its benefits, drawbacks and possible uses. Thanks to its versatility and user-friendly nature CRISPR Cas9 technology has expedited studies in …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Green Analytical Chemistry in Pharmaceuticals: Pathways to Sustainability and Compliance
Abstract: This review paper explores the integration of green analytical chemistry (GAC) in the pharmaceutical industry as a pathway to EU compliance and environmental sustainability. The review highlights a range of studies that focus on the application of green solvents, green extraction methods, biocatalysts, and energy-efficient techniques. Key findings suggest that employ eco-friendly solvents, such as ethanol and water and methods, like ultrasound-assisted extraction (UAE) and supercritical fluid extraction (SFE), significantly …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 7–12 Read article
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Sustainable Innovations in Green Nanotechnology for Nanoparticle Synthesis
Abstract: Green nanotechnology is an emerging field that focuses on the environmentally friendly production of nanoparticles through biological and sustainable processes. This approach has diverse applications across industries such as pharmaceuticals, energy, electronics, and bioengineering. Compared to conventional methods, biologically driven nanoparticle synthesis, particularly utilizing green chemistry principles, offers a safer, eco- friendly, non-toxic, and cost-effective alternative. Metal nanoparticles are commonly synthesized through top-down and bottom-up strategies using physical, chemical, and …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article