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652 articles for “TE domain”
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Time Series Forecasting Based on PyAF and fbProphet
Abstract: Time series forecasting is the technique of predicting future events using previous data. Time series data includes information that is collected and recorded at regular intervals, such as daily stock prices, monthly sales figures, or hourly temperature readings. The purpose of time series forecasting is to use previous data to create accurate forecasts about the future values of a given variable. This can be beneficial for a range of applications, …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 32–36 Read article
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The Role of AI in Modern Circuit Design and Simulation
Abstract: The integration of artificial intelligence (AI) in circuit design and simulation is revolutionizing the electronics industry by enabling faster, more efficient, and innovative design processes. This article explores the transformative role of AI in automating tasks traditionally reliant on manual expertise, such as schematic generation, component optimization, and fault detection. It highlights how machine learning algorithms and generative AI tools are improving design accuracy, reducing time-to-market, and enabling cost-effective prototyping. …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 9–14 Read article
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Variable Mass of a Test Particle in Copenhagen Problem with Manev-Type Potential
Abstract: AbstractThis study deals the behavior of the motion of a test particle (third body) in the special case of the circular restricted three-body problem when the mass of the test particle varies according to Jeans law and also considered that the equal mass of the primaries generates the Manev-type potentials. This special case of a restricted problem is known as the Copenhagen problem. We derive the equations of motion of …
Published in Research & Reviews : Journal of Physics · Vol. 9, Issue 1, 2020 · pp. 17–27 Read article
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Examining Research Patterns and Concepts in Relation to Frameworks for Sustainable Supply Chain Management (SSCM)
Abstract: Structures abound in writing about Sustainable Supply Chain Management (SSCM). Nevertheless, no effort has been made to date to identify the anomalies in the systems that are in place now and the associated research trends. This research is motivated primarily by a survey of SSCM structures and feature abnormalities. The analysis also promotes new applications and aids in the analysis of SSCM structure constructions and exploration patterns. Using the Scopus …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 26–41 Read article
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Why Sheep Matter? A Holistic Perspective on Productive, Social, and Economic Benefits
Abstract: The comparative advantages of raising sheep over goats have significant implications for productive, social, cultural, and economic perspectives in livestock farming systems. Sheep farming offers unique benefits, including superior wool production, higher carcass yields, and greater adaptability to diverse climates and grazing systems. Sheep are more efficient in utilizing low-quality forages, exhibit better reproductive performance with higher lambing percentages, and demonstrate reduced susceptibility to diseases, resulting in lower veterinary costs. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 2, 2025 · pp. 9–25 Read article
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3D Finite Element Analysis of Marine Risers under Random Loads
Abstract: The dynamic response of marine risers under long crested random sea is obtained in time domain using finite element solver ABAQUS/AQUA. The response analysis is based on a simulation technique which duly considers various nonlinear effects such as relative velocity squared drag force, variable added mass due to variable submergence and nonlinearity due to large excursions. It also accounts for variable tension in the riser due to variable submergence, variable …
Published in Journal of Offshore Structure and Technology · Vol. 1, Issue 1, 2014 · pp. 46–52 Read article
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Driver’s Safety Technology Using Machine Learning
Abstract: Nowadays, machine learning is mostly used in personalized recommendation systems. The use of machine learning to model the complex user-item interaction function is a trend in the current recommendation domain. This study outlines research carried out in the realm of computer science and engineering to develop a system for detecting driver drowsiness. The main aim is to prevent majority of traffic accidents caused by driver fatigue and drowsiness, fire and …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 30–37 Read article
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Rare Earth Elements Analysis in Nigeria Bauxite Deposits: Evaluation Concentration, Distribution and Recovery Prospects
Abstract: This study aims to assess the concentration, distribution and recovery prospects of rare earth elements (REEs) in Nigerian bauxite deposits (Plateau and Nassarawa states) using x-ray diffractometer (XRD) and Atomic Absorption Spectroscope (AAS). The significance of rare earth elements in various industries, such as electronics and renewable energy necessitates their thorough analysis in potential sources like bauxite. The realm of rare earth elements is undergoing rapid transformations fueled by technological …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 2, 2023 Read article
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Competitive Foundry Through Integration of TIPS (Technology, Innovation, Product Design, and Process Systems)
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Development of a sound product, which satisfies given criteria with least pain, is a common challenge, most unusually, haunting the foundryman. The domain of competition is quite large because Foundries compete at inter-manufacturing and intra-firm levels, producing near perfect shapes. The customer desires a component which promises functions most reliably, while addressing socio-techno-environmental attributes. This work is designed to bring out …
Published in Trends in Mechanical Engineering & Technology · Vol. 1, Issue 2-3, 2011 · pp. 9–17 Read article
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Aureobasidium pullulans- The Versatile Microcolonial Fungus for Industrial Production of Natural Products
Abstract: Aureobasidium pullulans, a yeast-like fungus, exhibits a remarkable capacity for synthesizing an extensive array of bioproducts with diverse industrial applications. This fungus is known to survive in several environmental conditions, making it a robust organism for biotechnological processes. The organism is characterized by its adaptability to various environmental conditions and habitats. It produces an array of extracellular enzymes such as amylases, lipases, proteases, and pectinases, contributing to its role as …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 1, 2024 · pp. 19–31 Read article
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Arduino-based Colour Detector with TCS 230
Abstract: In today's world, technology has advanced to a level where almost anything is possible. One such example is the usage of color detectors in a variety of applications. Color detectors are devices that can detect and measure the color of an object or surface. Technology has numerous applications in industries such as textiles, automation, automotive, food, printing, pharmaceutical, and many more. The color detector using Arduino and TCS 230 color …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 3, 2023 · pp. 18–22 Read article
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Experimental Investigation on Tensile Characteristics of Hybrid Nanocomposite Joints by FSW with Optimized Welding Parameters
Abstract: Aluminium based nanometal matrix composites have emerged as highly promising class of materials in the field of materials domain, gaining importance mainly due to their low cost, isotopic properties and easy secondary processing. Cast aluminium matrix particle-reinforced composites have higher specific strength, specific modulus and good wear resistance when compared to unreinforced alloys. Continuous metal matrix phase facilitates controlled distribution of one or more nano-reinforcement materials. There are several conventional …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 9, Issue 2, 2019 · pp. 71–82 Read article
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Molecular Docking Analysis of Phytocompounds from Ficus hispida Aagainst Epidermal Growth Factor Receptor Kinase Domain
Abstract: The Epidermal Growth Factor Receptor (EGFR) kinase domain plays a key role in cancer, as it promotes tumour growth and helps cancer cells survive, making it an important focus for developing treatments. Through comprehensive computational analysis, this study investigates the anticancer potential of phytocompounds from Ficus hispida, a medicinal plant renowned for its diverse bioactive compounds, as novel EGFR inhibitors. Molecular docking techniques using Py Rx software were employed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 Read article
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Molecular Docking Analysis of Phytocompounds from Ficus hispida Against Epidermal Growth Factor Receptor Kinase Domain
Abstract: The Epidermal Growth Factor Receptor (EGFR) kinase domain plays a key role in cancer, as it promotes tumour growth and helps cancer cells survive, making it an important focus for developing treatments. Through comprehensive computational analysis, this study investigates the anticancer potential of phytocompounds from Ficus hispida, a medicinal plant renowned for its diverse bioactive compounds, as novel EGFR inhibitors. Molecular docking techniques using Py Rx software were employed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 48–62 Read article
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Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
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Comprehensive Review of the Fundamental and Functional Properties of Crystalline Materials
Abstract: Crystalline materials, characterized by their highly ordered atomic arrangements, serve as the backbone of modern engineering and technology. This review provides a detailed examination of their diverse properties, categorized into mechanical, thermal, electrical, and optical domains. We analyze fundamental mechanical parameters such as the elastic modulus, yield strength, and fracture toughness, alongside functional behaviors like fatigue and creep. The discussion extends to thermal transport and expansion, electrical conductivity and resistivity, …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 20–24 Read article
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Emotionally Intelligent AI: The Future of Mental Health Care and Emotional Well-being
Abstract: With the potential to improve emotional well-being through sophisticated AI systems, emotionally intelligent AI (EI-AI) represents a revolutionary frontier in mental health treatment. EI-AI can recognize, understand, and react to human emotions in real- time by utilizing recent advancements in machine learning, natural language processing, and emotion detection. These features are being used more and more in mental health settings, where chatbots and other AI-driven interventions help with emotional regulation, …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 17–21 Read article
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The Silent Mineral: Structural Complexity and Industrial Utility of Natural Kaolin
Abstract: Kaolin, a naturally occurring aluminosilicate clay predominantly comprising the mineral kaolinite (Al₂Si₂O₅(OH)₄), exhibits a 1:1 layered silicate structure that imparts distinctive physicochemical properties suitable for extensive industrial utilization. Deposits of kaolin are broadly classified into primary (residual) and secondary (sedimentary) categories, each defined by their geological origin and mineralogical features. The industrial processing of kaolin encompasses stages such as raw material extraction, beneficiation, and purification, aiming to optimize parameters including …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 52–61 Read article
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Domain Specific Parallel Crawler Architecture
Abstract: The World Wide Web is an interlinked gathering of billions of reports organized utilizing HTML. Because of the developing and dynamic nature of the web, it has turned into a test to cross all URLs in the web archives and handle these URLs, so it has ended up basic to parallelize a creeping prepare. The crawler process is further being parallelized in the shape nature of crawler specialists that parallel …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 1, 2016 · pp. 17–21 Read article
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Analyzing The Electromagnetic Transients and Corona Performance of Long Overhead Lines with Multiple Tower Spans
Abstract: This paper addresses the simulation of the electromagnetic transients developed in an important class of non-uniform high voltage power lines. The resulting information is of paramount importance for the proper planning, design, operation and protection of electric power networks. It deals particularly with long overhead high voltage transmission lines composed of several tower spans which are connected in cascade. The presented approach considers eventually existing localized corona discharges at some …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 35–44 Read article