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805 articles for “High way”
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A Study of Open-source Cloud Computing Platforms
Abstract: Cloud computing has modernized the way organizations manage, store, and process data, offering scalable and cost-effective solutions. Open-source cloud computing platforms have emerged as a key enabler in this transformation, providing flexibility, transparency, and community-driven innovation. This study discusses the most prominent open-source cloud platforms, including OpenStack, CloudStack, and Kubernetes, highlighting their architecture, features, and use cases. The study deals with their comparative strengths, limitations, and adoption challenges in various …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Optimization of Machining Parameters on End Milling of Steel Grade EN 8: A Review
Abstract: Nowadays, most of the machining industries are facing a challenge to achieve high quality of product at given time and reasonable price according to customer requirement. The optimization of machining parameters of manufacturing process leads to effective as well as efficient manufacturing. End milling is one of the operations of milling process, which is used to cut horizontal, vertical and inclined profile. So, generated key ways or profile should be …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 8–11 Read article
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The Effect of Shear Bond Strengths and the Mode of Bond Failure in Metal and Ceramic Brackets Bonded with Fluoride Releasing Composites: An in vitro Comparative Study
Abstract: One of the standard measures in the prevention of enamel demineralization is the use of Fluoride. Fixed orthodontic attachments act as a retentive area for plaque accumulation that leads to development of white spot lesions (WSLs). Incorporation of fluoride into adhesives for bracket bonding inhibitsdemineralization during fixed orthodontic treatment. However, the addition of fluoride into orthodontic adhesives may affect the mechanical properties such asshear bond strength (SBS). The present study …
Published in Research and Reviews: A Journal of Dentistry · Vol. 11, Issue 1, 2020 · pp. 1–7 Read article
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Current Tumour Immunotherapy strategies and their molecular basis
Abstract: AbstractStudying cancer and devising techniques to combat the deadly disease has witnessed a paradigm shift, from conventional toxic treatments of radiation and chemotherapy, to a more specific, and biologically significant immunotherapy and molecular targeted therapy. This can be seen in the global immunotherapy market, which is dominated by North America region valued about $45.9 billion in 2017 that is estimated to reach about $115.9 billion by 2025, and is closely …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 2, 2020 · pp. 1–18 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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User App Segmentation for Better Understanding of Reviews and Password Resets Using Regression
Abstract: In today’s digital landscape, understanding users’ needs and behaviors is key to improving app experiences. This paper focuses on how we can better understand user reviews and password resets in mobile apps through a method called user segmentation. By dividing users into groups based on their feedback and password reset patterns, we aim to uncover insights that can enhance app design and security. Using a mix of user reviews and …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 1–9 Read article
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Bridging the Gap and Unlocking Health Literacy: A Guide to Medical Report Clarity
Abstract: This research highlights the significant challenges faced by the general population in interpreting laboratory reports, medical charts, and other health-related documents. Studies show that approximately 9 out of 10 individuals struggle to understand such medical information, primarily due to low health literacy levels. This lack of understanding has become a hidden epidemic, affecting the way people engage with and respond to their own healthcare. While medical tests are essential for …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 31–36 Read article
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The Comprehensive Study of Gallium Nitride (GaN) Semiconductor Technology
Abstract: Silicon is an important material in the field of semiconductors because of its special qualities. It has good semiconductor properties, is affordable, and can be found easily. However, it is becoming clear that silicon-based devices are reaching their limits in terms of what they can do. As a result, the search of alternative materials has been initiated. Gallium Nitride (GaN) is one such material. GaN is a type of semiconductor …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 2, 2023 · pp. 1–11 Read article
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The fundamental premises of efficient linear regression and applying Regression
Abstract: Linear regression is a statistical technique for estimating the value of a dependent variable from an independent variable. Linear regression is a way to assess how two variables are related.A dependent variable is predicted using this modelling technique based on one or more independent factors. Many analyses are based on linear regression. Sometimes the data must be changed to satisfy the needs of the analysis, or extra room must be …
Published in Trends in Machine design · Vol. 9, Issue 2, 2022 · pp. 21–26 Read article
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Equipment Used in Aquaponic Farming
Abstract: The United Nations predicts the global population to increase from 7.2 million in 2013 to 9 billion by 2050. There are various ways to increase the production of a single food that combines the combination of aquaponics with the farm itself. Food production and its impact on the environment are a major concern in the current human and global climate change. Promoting food production by combining aquaponics with traditional vertical …
Published in Trends in Mechanical Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 11–13 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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The Fundamental Premises of Efficient Linear Regression and Applying Regression
Abstract: Linear regression is a statistical technique for estimating the value of a dependent variable from an independent variable. Linear regression is a way to assess how two variables are related. A dependent variable is predicted using this modelling technique based on one or more independent factors. Many analyses are based on linear regression. Sometimes the data must be changed to satisfy the needs of the analysis, or extra room must …
Published in Trends in Machine design · Vol. 9, Issue 4, 2022 Read article
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Numerical Simulation of Crack Growth in Dynamic Loading Conditions
Abstract: Because it is crucial for forecasting structural failures in engineering applications, crack formation in materials under dynamic loading circumstances has become a crucial study topic. In this work, finite element methods (FEM) are used to numerically simulate fracture propagation in dynamic stress situations. The impact of loading rates, material characteristics, and crack geometries on crack growth patterns are assessed in a thorough parametric research. The work uses sophisticated computational methods …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 30–34 Read article
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RFID-Enabled Smart Shelves and Cart System
Abstract: With the fast-paced development of Radio Frequency Identification (RFID) technology, the retail sector is seeing a revolutionary change to improve stock management, cut operational costs, and improve consumer satisfaction. The comparative advantages of RFID-smart shelves and carts over conventional stock management practices, such as barcode scanning and manual stock management, are investigated in this work. Compared to the other methods, in terms of accuracy, efficiency, cost-effectiveness, and scalability, RFID smart …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 31–37 Read article
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The Role of Simulation and Digital Twins in Enhancing Mechanical Production Efficiency: A Systematic Review
Abstract: In the evolving landscape of smart manufacturing, simulation technologies and digital twin (DT) systems have emerged as pivotal tools for enhancing the efficiency, agility, and sustainability of mechanical production processes. This systematic review investigates how the integration of simulations and DTs contributes to performance improvements across various stages of mechanical manufacturing—ranging from design and process optimization to predictive maintenance and real-time monitoring. While simulations provide the ability to model, test, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 31–36 Read article
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The Future of Farming with IoT-Operated Drones
Abstract: The integration of Internet of Things (IoT) technology with drone systems has revolutionized precision agriculture, offering innovative solutions to address the inefficiencies and environmental concerns linked to conventional pesticide application. This study explores the design, implementation, and impact of IoT-operated drones tailored for automated pesticide spraying. By leveraging real-time sensor data, AI-driven analytics, and cloud-based connectivity, these drones enable dynamic, data-informed decisions to optimize chemical application. Results indicate that IoT-enabled …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 20–26 Read article
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Squat Angle Detection Instrument for Powerlifting Sport
Abstract: Squat exercise in powerlifting is prominent for building lower limb muscles of the body which issupported on the feet and the knee is bent so that the buttocks rest on the heel. Powerlifting Squatrequires the lifter to squat down until “the top surface of the legs at the hip joint is lower than the topof the knees”. In powerlifting, the qualifying weight for a squat must be 90 kg or …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 1, 2023 · pp. 40–51 Read article
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IoT Enabled Production Scheduling
Abstract: In the world of high competition between various firms; it is important that firms plan their production in advance. This will help them maximize the use of available resource and facilities. Production scheduling discusses the process of assigning an order to machines considering the total time available, required time, type of order and to arrange these orders in such way that machine idle time is minimized. By legitimate planning, firms …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 16–23 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Effect of Various Parameters on the Performance of Single Slope Solar Still: A Review
Abstract: Concern for environment and ever increasing demand for energy, combined with relentless advancement in renewable energy innovations, are interested in the new opportunities to accomplish in the field of use of renewable energy resources. Till date, solar energy is the most clean, cheap and inexhaustible among all renewable resources. The power from the sun is many times larger than the present rate of energy consumption on the earth. Solar still …
Published in Journal of Thermal Engineering and Applications · Vol. 4, Issue 1, 2017 · pp. 13–19 Read article