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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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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Optimization of Multiple Performance Characteristics Using Desirability Function Analysis (DFA)
Abstract: In present days the manufacturers are facing many challenges in setting of optimal process parameters while machining in order to achieve multiple performance characteristics. The present work is to investigate the effect of the drilling process parameters on the multiple responses of Volume of material removal rate (VMRR) and surface roughness (Ra). The experiments were carried out on AA6082 material using taguchi’s L16 Orthogonal array with carbide twisted drills. The …
Published in Journal of Production Research & Management · Vol. 8, Issue 2, 2018 · pp. 23–29 Read article
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Scheduling Parameters and Scheduling Criteria for Thermal Aware Process Scheduler
Abstract: In recent years, as the technology escalated to meet consumer demands for computing, communication and entertainment, the issue of power consumption and heat generation has become a primary concern for the system designers. Today, it is the time to rethink and renovate the technology with the consideration of power consumption and heat generation. This study discusses the cause and adverse effects of heat generation and rise in temperature of processors. …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 1, 2019 · pp. 16–26 Read article
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Automatic Seed Planting Using a Controller
Abstract: Agriculture is a critical sector that requires continuous innovation to meet the increasing global demand for food. Traditional seed planting methods often involve labor-intensive processes that are time-consuming and prone to inefficiencies. This project presents an automatic seed planting machine that integrates ESP32 microcontroller technology with various sensors and actuators to enhance the precision, speed, and efficiency of seed planting. The system is designed to automate seed dispensing, soil digging, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 1–8 Read article
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Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
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Structural Optimization of FDM-Processed ASA Polymer Frames through Acetone Solvent Welding, Variable Infill Strategy, and Layer Orientation: Experimental Validation via Quadcopter Flight Testing
Abstract: Acrylonitrile styrene acrylate (ASA) is an amorphous terpolymer with superior UV resistance compared to acrylonitrile butadiene styrene (ABS), as its acrylate rubber phase lacks photodegradation-prone carbon–carbon double bonds. This study proposes acetone solvent welding as a polymer joining method to produce monolithic structures from FDM-processed ASA components, addressing three processing challenges: achieving structural continuity through polymer chain interdiffusion at solvent-wetted interfaces, correcting thermal warping via post-print geometric correction during welding, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 689–703 Read article
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Data-Driven Material Design and Performance Improvement: Constructing Sustainable Polymer Nanocomposites Using Deep Learning
Abstract: In the formation of sustainable polymer nanocomposites, the effective material techniques are required to balance the mechanical qualities, environmental compatibility and processing efficiency. The optimization of polymer matrix, nanofiller loading, processing conditions and material properties is typically time consuming, resource intensive and highly dependent on trial-error methodology using standard experimental techniques. The present work provides a data-driven approach that combines deep learning with sustainable polymer nanocomposite design for predicting and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Optimized Structural Design and Prototyping Techniques for Polymer-Matrix Composites in Manufacturing
Abstract: Material called polymer-matrix composites (PMCs) have become very important in modern industry because it is strong and light. To get the most out of them, structure construction must be optimized and advanced testing methods must be used. In this brief, the strategies and methods for improving the performance, lowering prices, and speeding up the production process of PMCs through structural design and prototyping are explained. Optimizing structural design starts with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 145–161 Read article
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Selection of R14-tyres using Analytic Hierarchical Process on the Basis of Uniformity and Strength
Abstract: Tyres play a commanding role in an automobile industry. Balancing and safety of the vehicle are the primary issues for automobile industry. These two parameters are highly dependent on the uniformity and strength of the tyres. There are various criteria that affect tyres uniformity and strength. Consequently, selection of tyres is a Multi-criteria Decision Making (MCDM) problem. In that respect are many methods available for selection of tyres; however, this …
Published in Journal of Automobile Engineering and Applications · Vol. 1, Issue 3, 2014 · pp. 7–17 Read article
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Generation of Facial Expressions through Manipulating Facial Parameters
Abstract: Extracting discriminative features from salient facial patches plays an important role in effective facial expression recognition. The accurate detection of facial landmark needed to improve the localization of the salient patches on face images. This paper proposes framework for expression recognition by using appearance features of facial patches. By synthesize of emotional facial expressions through manipulating facial parameters, we aim to introduce facial emotion to a neutral facial image. For …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 33–38 Read article
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Towards the Development of Low Cost Calibration Apparatus for 3D Reconstruction of Spine
Abstract: Three-dimensional reconstruction of the human spine is very much essential in diagnosis, planning of surgery and treatment of several spinal deformities. This can be achieved using stereo-radiographic methods. Calibration of a stereo-radiographic setup is a necessary step in this process. It provides metric information from 2D images. Many calibration methods that are available in literature result in cumbersome calibration objects. Hence difficult to use in the clinical valuation of spinal …
Published in Journal of Advances in Shell Programming · Vol. 1, Issue 3, 2014 · pp. 7–14 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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THE EFFECTS OF ENERGY CONSUMPTION ON THE TURNING PROCESS FOR VARIOUS WORK-PIECE MATERIALS
Abstract: The study modified its goal to energy-intensive titanium alloys, contrasting traditional and high-speed machining processes. According to the study, a solution is needed to reduce or optimize energy use. So, a machined component energy footprint model was created. Several cutting speeds were used to calculate (k). Material removal rates were compared to cutting speeds for a range of materials and levels of detail. A strategy for selecting optimal cutting conditions …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 54–65 Read article
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SIMULATION OF COLD DIE COMPACTION ALUMINA POWDER
Abstract: Compaction process was analyzed mathematically by predicting a steady-state mathematical model in order to give more description and understanding for the mechanism of this process. Numerical investigation has been carried out on axisymmetric cylindrical parts using the finite difference method with relaxation technique to examine the physical significance of constitutive model to produce the pressure gradients during compaction. The pressure distribution model is then typically coupled with empirical functions relating …
Published in Trends in Mechanical Engineering & Technology · Vol. 1, Issue 1, 2011 · pp. 1–21 Read article
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Effects of Oil Extraction Methods on Bio-diesel Production from Wild Grape Seeds: A Case Study of Soxhlet Extraction and Mechanical Press Engine Driven Expeller Methods
Abstract: In this research, two samples of wild grape seeds (Lannea Microcarpa) were used to produce biodiesel. The first sample was washed; dried and powdered, oil was extracted from the sample using soxhlet extraction method with n-hexane as solvent. The second sample was washed and dried, oil was extracted from the sample using mechanical press engine driven expeller. The oil yield from the first method was 33.3% while the oil yield …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 6, Issue 1, 2015 · pp. 35–40 Read article
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Use of the Computer Statistics in Oncology
Abstract: Currently, the use of computer statistics and computer statistical modeling in oncology for obtaining an accurate diagnosis, determination of the choice of treatment method and its correction in the process of ongoing treatment, prediction of the outcome of the disease, and evaluation of the effectiveness of the chosen treatment tactics is a decisive factor. The use of computer statistics, based on an adapted scientific and statistical package of the SSP …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 4, 2023 · pp. 1–21 Read article
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Hybrid Battery Swapping Station for EV Using Robotic Arms
Abstract: The Robotic Arm-Based Battery Swapping System indeed marks a significant stride in merging technology and sustainability. Its integration of robotics, computer vision, and renewable energy positions it as a ground breaking solution, reshaping the landscape of electric vehicle charging. This automated approach not only tackles inefficiencies in current methods but also serves as a blueprint for future advancements in the domain. The inefficiencies inherent in conventional electric vehicle battery replacement …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
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Vibrational Wind Turbine Design
Abstract: This work focuses on the study and analysis of bladeless wind turbines (BWT) as an alternative to operating vertical-axis wind turbines (VAWT) and horizontal-axis wind turbines (HAWT). A mathematical analysis of the BWT oscillation under wind force allows the development of specific mathematical expressions for the oscillation speed and BWT mast displacement at any height. The oscillation movement is submitted to a Strouhal constant number condition, resulting in an algorithm …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 32–45 Read article
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Numerical Investigation of AA5053 Through Equal Channel Angular Pressing Technique: An Overview
Abstract: Equal channel angular pressing is recognized as the predominant method for bulk severe plastic deformation processing and has been employed for refining the grain structure in numerous metals and alloys. This study utilized finite element analysis to examine the processing of metallic billets through simple shear deformation. For the study, the die channel angle was chosen based on achieving the minimum energy consumption to induce maximum uniform strain. Among the …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 40–47 Read article
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DESIGN OF SCRAP COLLECTION AND REWARD MACHINE USING VERILOG HDL
Abstract: The growing amount of waste produced in urban environments has led to a demand for effective and automated recycling solutions. In this paper, a scrap collection and reward machine is designed and implemented using the Verilog Hardware Description Language (HDL). The proposed system is developed to provide a reliable and automated approach for managing recyclable materials while motivating users through a reward-based mechanism. The design includes scrap input interfaces, a …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 37–45 Read article