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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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Metropolitan Solid Waste Arrangement Best Application
Abstract: Solid waste management is a systematic process minimizing solid waste in an area. By this method to control of solid waste as well as alternative useful for solid waste as resources utilization. Municipal solid waste management (MSWM) is one of the major environmental problems of Indian cities. Improper management of municipal solid waste (MSW) causes hazards to inhabitants. Various studies reveal that about 80% of MSW is disposed of unsafely …
Published in Journal of Water Pollution & Purification Research · Vol. 5, Issue 2, 2018 · pp. 11–21 Read article
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Ocean Surface Target Feature Extraction from Fused Multi-Polarized Bands of Sentinel-1 Data
Abstract: The introduction of new generation high-resolution SAR imagery helps in the effective monitoring of land and ocean surfaces. The SAR imagery acquired are often degraded by speckle noise which makes it difficult for quality interpretation mainly in ocean domain. Speckle reduction techniques are applied to these images to reduce the noise prior to other image processing tasks. In this paper, three different speckle reduction methods are applied both in VV …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 2, 2018 · pp. 10–16 Read article
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Exploring the Mechanical Characterization and Microstructural Properties of the Varying Weight % of Nano Boron Carbide (nB4C) Reinforced Al2024 composites using the Vacuum-Assisted Stir Casting Method
Abstract: In this investigation the stir casting technique is utilized to fabricate Al2024-B4C nano composites. The nanoB4C particles used in the reinforcement material have a particle size of 50 nm and variable weight percentages. In Al2024 composites, boron carbide reinforcement is included at weight percentages ranging from 0% to 3%, with a 1% interval between each percentage addition. Following the casting process, the samples were prepared for microstructural and mechanical evaluation …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 394–404 Read article
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Leaning Pizza to Value production for Competence
Abstract: The ultimate purpose of business activity of making money (Goldrat) is disposed to the customer, in exchange of thevalue served to him, which is essentially tangible. It requires that the organization sustainably invests resources andinitiatives to delight the customer. The objectives are admix of improvement of product and processes, bothtechnically and by improving the softer component including what woo the customer for delight. Towardsimprovement of process and product Quality, it …
Published in Journal of Production Research & Management · Vol. 1, Issue 1-2-3, 2011 · pp. 1–20 Read article
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Development of 3D Printing Filaments from Industrial Waste Plastics
Abstract: The global plastic waste crisis has prompted innovative approaches to sustainable material reuse, particularly in additive manufacturing. Simultaneously, the accumulation of plastic waste presents significant environmental concerns. Recycling plastic into filament supports eco-friendly innovation and brings us closer to a circular economy where materials are reused instead of thrown away. This study investigates the development of 3D printing filaments from industrial waste plastics, including polypropylene (PP), acrylonitrile butadiene styrene (ABS), …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 12–17 Read article
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Effective CBIR System Using Color Histogram and Distance Measures
Abstract: AbstractInterests to precisely retrieve desired images from databases of medical images are developing every day. Certain features define the images; on the basis of those, the retrieval of images is facilitated. These components incorporate texture, color, shape and region. A lot of work has been done in this direction to discover the new ways to use these features in image retrieval process. In this study, we exhibit an overview of …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 11–14 Read article
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Plant Disease Detection Using SVM
Abstract: AbstractDiseases in plants are responsible for major production and economic losses and also reduction in yield. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself, it detects the symptoms of diseases. Detection on plant is very critical for defensible agriculture. It is very challenging to monitor the plant diseases physically. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 8–12 Read article
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Analysis of Machining Parameters in Wire EDM with Aluminum Alloy Using PCA and TOPSIS Approach
Abstract: Although the efficiency of traditional cutting processes is inadequate by the mechanical properties of the processed material and the intricacy of the work piece geometry, electrical discharge machining (EDM) being a thermal erosion process, is subject to no such limitations. This paper summaries the suitable use of Taguchi’s L27 orthogonal array which takes 27 experimental runs to develop a mathematical model for correlating the interactive and higher order impacts of …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 2, 2017 · pp. 1–11 Read article
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Optimization of Biohybrid Polymer Synthesis Using Fuzzy Inference Systems
Abstract: This investigation proposes a methodology to optimize biohybrid polymer synthesis using fuzzy inference systems (FIS). The study combines fuzzy logic principles with mathematical calculations for finding the best synthesis parameters to enhance the synthesis quality. This study consists on a sample about the use of FIS on optimisation of polymer synthesis, where they show the process of fuzzification, rule base creation, inference mechanism and defuzzification using the centroid method through …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 36–47 Read article
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Voting Based Classification Method for COVID-19 Prediction
Abstract: COVID-19 dataset comprises date, country, confirmed cases, recovered cases and total deaths. The data is integrated with climate data consisting of humidity, dew, ozone, perception, maximum temperature, minimum temperature, and UV. The artificial intelligence based COVID-19 diagnosis strategies can generate more accurate results, save radiologist time, and make the diagnosis process cheaper and faster than the usual laboratory techniques. The COVID-19 detection has various phases which include pre-processing, feature extraction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 34–41 Read article
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Various Methods For Plastic Waste Pyrolysis To Fuels: A Review
Abstract: The world's decreasing oil reserves and increasing energy demands are pushing experts to explore alternative ways of producing premium oils that can replace fossil fuels. Waste-to-energy recovery, which involves converting waste materials into energy, shows great potential for managing waste. Waste plastics, abundant and with a high combustion heat, are attractive for energy conversion. However, the vast use of plastic products, both industrially and domestically, leads to a surge in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 79–93 Read article
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Evaluation of Process Parameters of Arc Welding for Eliminating Defects in Stainless Steel
Abstract: Arc welding is a popular metal joining process that uses a power supply to create an electric arc between an electrode and the base material to melt the metals at the welding point. Arc welding is used in construction, automobile industry, household and domestic appliances manufacturing industry. We will do experimental investigation on the welded product of manufacturing industry and for this investigation we will choose some process parameters which …
Published in Journal of Materials & Metallurgical Engineering · Vol. 7, Issue 3, 2017 · pp. 16–19 Read article
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Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article
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A Study on Selection Issues of An Integrated Service Provider 4PL Using FAHP
Abstract: AbstractThe modified Fuzzy Analytical Hierarchy Process (FAHP) which is proposed after the concepts like fuzziness, uncertainty and vagueness was broadly posed in expert's decision-making. In the Fuzzy Extent Analysis method and α-cut based method, FAHP is described to obtain a crisp priority vector from a triangular fuzzy comparison matrix. Analytical Hierarchy Process (AHP) which especially is based on pair-wise comparisons on a ratio scale. In this present research, initially, the …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 1, 2015 · pp. 1–4 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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The New Technology of Phytoplankton’s Concentration from Lake “Green Water” for Production of the High-quality Biofuel Having Positive Impact on the Environment
Abstract: The “green water” formation in the stagnant zones of fresh lakes occurs due to the generation and enhanced reproduction of phytoplankton under the sun influence. Due to non-influx of fresh water, phytoplankton dies, releasing hydrogen sulfide, and water becomes unusable and threatens the ecological situation of the lake. In this regard, the development of the concentration of phytoplankton from “green water” purification is an urgent task associated with positive impact …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 27–34 Read article
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Bland-Altman Analysis for Evaluating AHP-based Wildlife Habitat Suitability Models
Abstract: The paper targets in establishing the potential of Bland-Altman analysis integrated with geospatial approach in habitat suitability ecological studies for species conservation. Assessing agreement between two measurement methods can be done by using Bland-Altman plots and calculating limits of agreement and hence compares two assay methods. This method is tried in this study for evaluating suitable habitats for tiger. The study incorporates Geographic Information System – Multi-Criteria Decision Analysis (GIS-MCDA) …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 4, Issue 2, 2015 · pp. 11–18 Read article
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A Comparative Machine Learning Framework for Early Prediction of Liver Cancer Using Clinical Attributes
Abstract: One of the main causes of cancer-related death globally is liver cancer, and improving patient outcomes depends heavily on early detection. However, low contrast, noise, organ similarity, and tumor shape and size variability make it difficult to accurately identify and segment liver tumors from medical imaging. Automated liver cancer diagnosis, segmentation, and prognosis have been greatly improved by recent developments in artificial intelligence (AI), especially deep learning. This work presents …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 39–47 Read article
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A Laboratory Methodological Proposal for “Geotechnical Lime Stabilization of A-4 Soils”
Abstract: This paper establish the beginning of a research process regarding the behavior of soils stabilized with lime. Generally, the geotechnical practice of soils stabilized with lime requires a first step conducted in the laboratory, to attest the features of “natural soils” in order to improve their behavior in term of geotechnical performance and, a second step, carried out onsite with experimental test fields, in order to verify the benefit obtained …
Published in Journal of Geotechnical Engineering · Vol. 8, Issue 1, 2021 · pp. 1–11 Read article