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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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Review of Hydroxyapatite Coating: Enhances Bioactivity and Osteoconductivity in Natural Hard Tissues
Abstract: Hydroxyapatite (HA or HAP) of biologically (produced from coral, cattle, or marine algae) or synthetic origin is used to repair and regenerate bone in the form of granules, blocks, and scaffolds, either alone or in a composite with polymers or other ceramics, or as a coating on dental or orthopedics implants. From the perspective of enhancing bioactivity, numerous methods for surface alteration and its combinations have been suggested. The composite …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 2, 2022 · pp. 17–21 Read article
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Experimental Investigations on Concentric Flow Dry Ultrasonic Assisted Wire Electric Discharge Machining (CFDUAWEDM) Using Regression Analysis
Abstract: This paper presents an application of concentric flow mode of dry dielectric (compressed air) supply for ultrasonic assisted wire electric discharge machining process (CFDUAWEDM). The concentric flow mode of dielectric supply using ultrasonic assistance is expected to offers improved surface integrity, environmental and operator friendliness during wire electric discharge machining (WEDM) process. Experimental set up was developed wherein, the ultrasonic vibration was applied to the electrode wire using an ultrasonic …
Published in Trends in Machine design · Vol. 3, Issue 2, 2016 · pp. 33–43 Read article
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Performance Comparison between Back-Propagation Learning and Kohonen Self-Organizing Neural Networks Algorithm in Terms of Pattern Recognition
Abstract: Pattern recognition using back-propagation learning and Kohonen self-organizing neural network algorithms has been developed and measured various performance based on different criteria and environment of the pattern. These pattern recognition systems have taken the object image as input. In image pre-processing stage, scaling and clipping process has been applied from the background image to avoid unnecessary portion of the object image. Feature extraction has been performed after applying filtering and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Developing a Program on Nursing Information System for Computer Generated Nursing Care Plan – Doctoral Study Pilot Report
Abstract: The nursing care plans are considered to be the road map of nursing care activities and outcome of the client care but they have been neglected many years in the area of practice by nursing community especially in developing countries like India, due to multiple reasons such as time consuming, difficulty in manual updating of the information received, and reluctant to follow the nursing process. To develop a nurse friendly …
Published in Journal of Nursing Science & Practice · Vol. 3, Issue 3, 2013 · pp. 8–15 Read article
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Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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Secure Cloud Computing Using Cryptographic Algorithms
Abstract: Cloud computing has been a game changer altogether in the field of IT communications and has enabled to widen the scope and horizon of the Software Engineering and IT revolution. So, more and more studies are being conducted on cloud computing. The study conducted by us focuses on cloud computing. From a promising commercial concept, cloud computing has developed into one of the IT industry’s fastest-growing segments. IT Organizations have …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 2, 2022 · pp. 1–5 Read article
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Gypsum Addition in Moulding Sand to Manufacture Defect Free Tin Castings
Abstract: Sand molding is a versatile casting process that provides freedom of design with respect to size, shape, and product quality. Plaster casting is similar to sand molding process except that a plaster is substituted instead of sand. Plaster compound is composed of gypsum, which strengthens the mould. Parts made by this process are gears, valves, fittings, tooling, and ornaments. The finished product of plaster casting has a very high surface …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 2, 2023 · pp. 7–15 Read article
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Is Bottled Water Better than Tap Water?
Abstract: Objective: There has been a persistent rise in bottled water consumption over the last two decades. Little is known about the health benefits of bottled water. The purpose of this study was to improve understanding of the public's health believes concerning bottled mineral water, and to know whether these believes influence water consumption habits. Method: Extensive review of literature was done to compare bottled water and tap water and also …
Published in Research and Reviews: A Journal of Toxicology · Vol. 10, Issue 1, 2020 · pp. 30–33 Read article
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Single Sensor Camera Image Denoising Using PCA and Demosaicking with LMMSE
Abstract: Single sensor cameras are used mostly for image acquisition in digital cameras with a colour filter array (CFA). These cameras save image in an unrefined format, since the complete process of image acquisition get lengthy and complex, so it introduces noise in the image and hence requires some efficient technique for denoising. Different techniques have been used to denoise the captured image but efficiency of the algorithms has not been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 1–10 Read article
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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Attendance System Based on Facial Recognition
Abstract: Attendance management is a fundamental aspect of educational institutions and workplaces, ensuring accountability, discipline, and operational efficiency. Traditional methods, such as manual roll calls, RFID cards, and fingerprint scanners, are often time-consuming, error-prone, and susceptible to fraud. This research presents an automated attendance management system utilizing face recognition technology to address these challenges effectively. The proposed system employs OpenCV for real-time image processing, the face recognition library for accurate facial …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
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Transcript Summarizer of YouTube Videos Using Deep Learning
Abstract: Transcriber Sum is a deep learning-based YouTube transcript summarization tool. It employs advanced machine learning techniques to automatically generate concise summaries of YouTube video transcripts, enabling users to quickly grasp the key content and insights of videos without the need to watch or read the entire transcript. This Transcriber Sum addresses the challenge of providing users with concise and informative summaries of video content by harnessing the power of deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 119–126 Read article
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Review on to Design High Speed and Area Three Oprend Binary Adder Using MDCLCG Architecture
Abstract: The three operands binary adder is a basic function used in the creation of modular arithmetic in various algorithms, such as the pseudorandom bit generator and cryptography. The CS3A carry save adder is commonly used to perform this operation. Nevertheless, the operation's outcome delayed the transmission of O(n) because of the ripple carry step. A dual-optoic adder for parallel prefix computation, such as the Han-Carlson method, can be used to …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 14–22 Read article
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Enhancing Cybercrime Detection Through Big Data Analytics: A Conceptual Framework
Abstract: The growing complexity of cybercrime reduction and prevention difficulties necessitates a different approach to dealing with the massive amounts of data involved. The issues of reducing and preventing cybercrime are becoming more complex as cybercrime becomes ingrained in our daily lives. When it comes to showcasing the original division of criminal activities, traditional police operations typically fall short, which means they contribute less to the right deployment of police resources. …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 1–11 Read article
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Speaker Segmentation Using Non Linear Energy Operator Based Variance Spectral Flux
Abstract: AbstractSpeaker segmentation is considered to be a process that attempts to find speaker segment boundaries in a given audio stream. It can be used in various applications of speaker diarization, speaker indexing, word count etc. Classification of speech and non-speech can be obtained by traditional method of variance spectral flux (VSF). In this paper, we investigate the new techniques to perform the speaker segmentation task for multiple speakers in one …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 1–6 Read article
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Evaluating Fiber Volume Fraction and Defects in Fiber Reinforced Polymer Composites for T Joint applications
Abstract: Fiber-reinforced polymer (FRP) composites have been integral to industries such as aviation, aerospace, shipbuilding, and automotive due to their strength, durability, lightweight, and corrosion resistance. This study examines the production and microstructural analysis of polymer composites using FRP and manual lamination methods. While manual lamination is quick and economical, it relies on operator skill, resulting in low mechanical properties. Microstructure analysis via 3D optical and scanning electron microscopes revealed that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1222–1235 Read article
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Corrosion Characterisation of Low Alloy CrMoV Steel Before and After Cryogenic Heat Therapy
Abstract: Low alloy CrMoV steel is used in Turbine wheels, Distance pieces, Compressor aft shafts etc of Gas Turbines. Cryogenic heat treatment was used to examine the effects on the corrosion resistance of low alloy CrMoV steel. In order to eliminate residual stresses and boost wear resistance in steels and other metal alloys, cryogenic heat treatment (CHT) employs cryogenic temperatures (i.e., below - 190°C) to treat work parts. Cryogenic treatment is …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 63–73 Read article
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Land Degradation Mapping Using Integration of Remote Sensing and Geographic Information Systems in Maricá, Rio de Janeiro, Brazil
Abstract: The purpose of this paper is to study the growing problem of soil erosion in the municipality of Maricá, Rio de Janeiro, Brazil. The study area has an excellent agricultural condition. However, due to human and natural factors, water erosion is becoming a major problem. Therefore, new approaches are needed to determine soil degradation not only for the identification of hotspots, but also to identify areas prone to degradation to …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 45–56 Read article
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Improvement of Convergence Speed of Q-learning based Path Planning Algorithm
Abstract: Path planning is fundamental and important task of mobile robot. There are many attempts to adopt reinforcement learning (RL) in mobile robot path planning. RL based path planning is effective in path planning of intelligent mobile robot, especially in unknown environment because it doesn’t require environmental information and finds optimal path through trial-and-error process. Q-learning is one of RL algorithm widely used in path planning of mobile robots. The main …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article