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492 articles for “Machining”
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Excitation System, Proportional and Integral Controls of a Synchronous Generator for Reducing Adverse Impacts to Power System from Voltage Fluctuations
Abstract: The project analyzes the voltage fluctuations caused by any disturbance in a power system and minimizes the oscillations by controlling the excitement field using a feedback control loop. Adequate numbers of journal papers and literature materials were researched and reviewed to understand the principles of generator excitation and investigate various control systems which can be worked upon to keep the voltage output stabilized. It is known that Automatic Voltage Regulator …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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Nanofibers of Ultra-High Molecular Weight Polypropylene (UHMWPP) Composites: Processing, Properties and Applications
Abstract: The nanofibers of ultra-high molecular weight polypropylene (UHMWPP) composite made with polyethylene terephthalate (PET) by electrospinning process. The high-temperature setup developed by hardware modifications in electrospinning machine to perform such experiments. Bilayer composite mat of UHMWPP and PET nanofiber was fabricated by deposition of monolayer of UHMWPP over PET monolayer by electrospining process. The developed composite mat products were characterized by SEM, DSC and other physico-chemical methods. The composite mat …
Published in International Journal of Polymer Science and Engineering · Vol. 11, Issue 1, 2025 · pp. 35–48 Read article
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Innovative Approaches to Molecular Synthesis for Drug Development
Abstract: The rapidly evolving field of drug development continually seeks innovative methodologies to enhance the efficiency, specificity, and scalability of molecular synthesis. This paper explores recent advancements in synthetic chemistry, focusing on techniques that have shown significant promise in addressing the challenges faced in drug discovery and development. Automated Synthesis: The advent of machine learning and artificial intelligence (AI) in synthetic chemistry has led to the development of automated synthesis platforms. …
Published in International Journal of Chemical Engineering and Processing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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The Impact of CAM on Digital Twin Technology inManufacturing Systems
Abstract: The integration of Computer-Aided Manufacturing (CAM) and Digital Twin technology is revolutionizing the manufacturing landscape by bringing together the strengths of process automation, real-time monitoring, and predictive analytics. CAM, which has long been used to optimize machining processes, automate toolpath generation, and control production workflows, plays a vital role in improving manufacturing efficiency and precision. On the other hand, Digital Twin technology, which creates a virtual replica of physical systems, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 6–10 Read article
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Advances in Reproductive Biotechnology: Innovations in Artificial Insemination and IVF Techniques
Abstract: Reproductive biotechnology has transformed infertility management and animal breeding, with artificial insemination (AI) and in vitro fertilization (IVF) playing pivotal roles. Historically, these technologies have evolved from experimental concepts to essential tools in reproductive medicine and agriculture. AI, introduced in the early 20th century, became instrumental in optimizing breeding programs by allowing selective fertilization without physical mating, thus improving genetic diversity and disease control in livestock. Meanwhile, IVF, developed in …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 2, 2024 · pp. 11–15 Read article
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Effect of Segmentation of White matter, grey matter and CSF in the prediction of Neurological disorders
Abstract: The segmentation of white matter, grey matter, and cerebrospinal fluid (CSF) plays a crucial role in predicting and diagnosing neuro disorders. This study investigates the impact of precise segmentation techniques on identifying biomarkers and structural changes associated with various neurological conditions, including Alzheimer's disease, multiple sclerosis, and schizophrenia. By leveraging advanced imaging technologies and machine learning algorithms, we aim to enhance the accuracy of neuro disorder predictions through detailed analysis …
Published in International Journal of Neurological Nursing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
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Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Seamless Connectivity and Efficient Resource Allocation in IoT Forensics and Bio-inspired
Abstract: The convergence of cloud computing and the Internet of Things has reshaped many industries, enabling seamless device connectivity and resource allocation on a massive scale. This paper highlights the challenges bio-inspired Internet of Things networks and Internet of Things forensics pose while delving into the core components of achieving connectivity and resource provisioning within cloud-based Internet of Things environments. Different state-of-the-art technologies have been taken into account to enhance reliability …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 8–15 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Customer preferences in adopting AI in their building designs: A Perspective case study from Saudi Arabian architects
Abstract: Recent AI advances have improved Saudi building design inventiveness, efficiency, and cultural sensitivity. Automating tedious activities like image resizing and layout optimization with AI helps designers focus on novel concepts. AI may assess client preferences and society conventions to assist designers adapt their ideas to local cultural values, making architectural development projects more appealing. Even though it has many advantages, artificial intelligence in architecture is confronted with several challenges. The …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 10, Issue 2, 2024 · pp. 25–40 Read article
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Design and Optimization of Heterogeneous Catalysts for Green Chemistry Processes
Abstract: The design and optimization of heterogeneous catalysts are critical for advancing green chemistry processes, aiming to minimize environmental impact while maximizing efficiency. This study explores innovative strategies for the development of heterogeneous catalysts that facilitate environmentally benign reactions. By integrating principles of catalyst design, surface science, and reaction engineering, we aim to enhance catalytic performance, selectivity, and stability. Catalyst composition and structure, investigating novel materials, including metal-organic frameworks (MOFs), zeolites, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 10, Issue 1, 2025 · pp. 42–48 Read article
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Optimizing Aircraft Navigation Control: An ExtensiveReview
Abstract: In the earlier world, the number of airplane uses and transportation through airlines were limited butnow the people are upgraded, and they choose the easiest way for transportation then naturally the airtraffic is also increased. Optimizing aircraft navigation control has become an important field ofresearch because of the quick advances in aviation technology and the growing desire for economicalair travel. A detailed overview of contemporary aircraft navigation optimization techniques,technologies, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 32–36 Read article
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Multi Label Sentiment Analysis of Covid Handling of Government through Tweets
Abstract: Determining someone's emotional state from a written text might be challenging, but it's crucial because textual expressions often transcend the use of emotion terminology. They emerge from the way concepts are seen and relate to one another inside the text. Text sentiment recognition is a critical skill for human-computer interaction. Text-based emotion recognition still requires further research, despite significant progress in speech and facial expression emotion detection. expressions and movements. …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 26–31 Read article
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Eye Blink Gesture-based Home Automation Control System
Abstract: The "Eye Squint Gesture-Based Home Automation Control System" is an innovative approach to home automation that utilizes forward thinking gestures to control various household appliances and devices. The system enables users to control devices without the need for physical interaction through the use of a camera to capture and interpret the gestures made by users. This home automation system offers numerous benefits compared to traditional methods. One of the main …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 13–20 Read article
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Plotting Precision: Exploring the Capabilities of XY Plotters in Modern Research
Abstract: An XY Plotter machine is proposed in this paper to produce precise and consistent graphical output for customers. It consists of two axis which are perpendicular to each other, each axis has a motorized carriage that moves independently. The precision and accuracy of the axis arm movement allow it to produce detailed drawings, graphs, and diagrams. XY Plotter fulfills the industry’s demand for accuracy and precision. The XY plotter is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 17–26 Read article
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A Review on Nanotechnology for Catalysis and Solar Energy Conversion
Abstract: Abstract This roadmap on Nanotechnology for Catalysis and Solar Energy Conversion focuses on the application of nanotechnology in addressing the current challenges of energy conversion: ‘high efficiency, stability, safety, and the potential for low-cost/scalable manufacturing. Solar-to-fuel conversion involves using nanotechnology to improve the efficiency and effectiveness of converting solar energy into chemical fuels. Solar Water Splitting Nanotechnology is applied to enhance the process of splitting water into hydrogen and oxygen …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 · pp. 1–9 Read article
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Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Eco-Friendly Agriculture
Abstract: The green revolution brought a huge increase in rice and wheat yields in Asia, but it relied heavily on chemicals and machines that harm the environment. This approach isn’t sustainable and puts our lands, forests, and water at risk. To secure our food and economic future, especially in developing countries, we need to find ways to grow more food without hurting the planet. One solution is to use sustainable farming …
Published in International Journal of Analytical and Applied Chemistry · Vol. 10, Issue 1, 2024 · pp. 21–25 Read article
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A Review on Nanotechnology for Catalysis and Solar Energy Conversion
Abstract: This roadmap on Nanotechnology for Catalysis and Solar Energy Conversion focuses on theapplication of nanotechnology in addressing the current challenges of energy conversion: ‘highefficiency, stability, safety, and the potential for low-cost/scalable manufacturing.Solar-to-fuel conversion involves using nanotechnology to improve the efficiency and effectivenessof converting solar energy into chemical fuels. Solar Water Splitting Nanotechnology is applied toenhance the process of splitting water into hydrogen and oxygen using solar energy. SolarPhotovoltaics The roadmap …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 Read article