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1470 articles for “AI applications”
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Metals and Minerals in Pharmacy: Current Trends, Biomedical Applications, and Future Innovations
Abstract: Metals and minerals have played important roles in medicine for centuries, ranging from the use of simple mineral powders in traditional therapies to the development of modern metal-based drugs and nanomaterials. In recent years, advancements in material science, nanotechnology and pharmaceutical engineering have expanded the biomedical relevance of inorganic materials far beyond their conventional use as excipients. This review highlights the growing integration of metallic and mineral systems into pharmaceutical …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 12–24 Read article
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A Review on Metal Additive Manufacturing Techniques and its Applications
Abstract: Additive manufacturing is a manufacturing technique that focusses on producing the parts from the computer aided engineering drawings obtained from detailed modelling. The advances in additive manufacturing has led to the development of essential technological innovations with state of the art research prospectus which facilitates the development of parts that are complex to manufacture using other manufacturing technologies. The current paper aims to provide a review of the process characteristics …
Published in Journal of Polymer & Composites · Vol. 7, Issue 3, 2019 · pp. 24–31 Read article
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Study on the Profile and Flow Field Variation of Parachute Coating by Seven-hole Probe Method
Abstract: In general, the parachute test is a long test cycle, expensive, and difficult to measure with accuracy, which makes it a very laborious and time-consuming task. Therefore, attempts have been made to overcome this by using a parachute test stand or by simulation, but in our country, there is no numerical simulation of the parachute and there is no research on it. In this paper, the variation of the shape …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 26–37 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Examination of AI Based Virtual Doctor Robot Fabricated Using Composite Material
Abstract: The accessibility and affordability of healthcare have become significant concerns for a substantial portion of the population in the modern era. In the past two decades, there has been a growing emphasis among researchers on the utilization of natural fibers as reinforcements for structural materials that are based on polymers or cementitious materials. The current investigation offers a The Virtual Doctor Robot is a cutting-edge healthcare solution that leverages the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 71–76 Read article
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AI-Driven DevSecOps Automation: An Intelligent Framework for Continuous Cloud Security and Regulatory Compliance
Abstract: Cloud-native systems, microservices, and infrastructure-as-code (IaC)–oriented CI/CD pipelines have accelerated the pace of software delivery, yet they have also introduced new layers of operational complexity and widened the overall security exposure of modern applications. Traditional DevSecOps workflows still depend heavily on isolated scanners, manual reviews, and static governance processes that are not well-suited for the elasticity and constant change characteristic of multi-cloud environments. To address these limitations, this paper introduces …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 01–15 Read article
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Edge Computing in IoT: Challenges and Opportunities for Engineers
Abstract: The internet of things (IoT) has revolutionized how we interact with our environment, collect data, and make decisions. However, the exponential growth of IoT devices has led to significant challenges in data processing, latency, and bandwidth usage. Edge computing provides an effective solution to these issues by bringing computation and data storage nearer to the source of data generation. This paper provides a comprehensive exploration of the challenges and opportunities …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
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Real Time Hand Gesture Control Wireless System with ANN
Abstract: AbstractThis paper presents a low cost, wireless, embedded system which recognizes the hand gesture of user by decoding acceleration signal. Main aim of designing this system is to sense the movement of user hand and use it to control the electronic applications like movement of cursor on screen which is useful for gamming. In this paper, by using wireless and accelerometer technology, we developed an advanced HCI (Human computer Interface). …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 1–5 Read article
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Microstructural and Mechanical characterization of Brass and Bronze alloys
Abstract: Brass, a copper and zinc alloy, is renowned for its malleability and resistance to corrosion, which makes it perfect for musical instruments and plumbing. Aluminium bronze, containing copper and aluminium, offers superior strength and wear resistance, commonly used in marine and industrial applications for its durability and corrosion resistance. This study aimed to compare the micro and macro structural characteristics of brass and aluminium bronze alloys. The microstructures of these …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 28–37 Read article
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IoT-Based Manhole Detection and Monitoring System
Abstract: Urban drainage systems face numerous challenges, including blockages, harmful gas accumulation, and flooding, which pose risks to public safety and environmental health. This project introduces an IoT-enabled solution designed to monitor and address these issues efficiently. The system incorporates sensors to detect critical parameters such as gas levels, temperature, water presence, and nearby obstacles. A unique lifting mechanism ensures the hardware adapts to challenging conditions, maintaining uninterrupted operation. The system …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
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Advanced Security Mechanisms for AIDL Communication in High-Risk Environments
Abstract: Android Interface Definition Language (AIDL) serves as a critical component for inter-process communication (IPC) in Android systems, facilitating seamless interaction between different application components. However, in high-risk environments, such as military, healthcare, and financial systems, AIDL communication faces significant security challenges, including unauthorized access, data tampering, and privilege escalation. This paper presents a detailed review of the advanced security mechanisms designed to safeguard AIDL communication in such environments. We propose …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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A Systematic Review of Advanced Composite Materials for High-Performance Spur Gear Applications
Abstract: This is a review which provides specific and detailed information regarding the fiber-reinforced polymer (FRP) composite to replace traditional steel in high-performance spur gears with emphasis on mechanical performance, computational modeling, and experimental validation. Methods: The current literature was thoroughly investigated that includes material properties, material simulation (e.g., finite element analysis, FEA), and experimental gear testing procedures (e.g., DIN 51354, ASTM G99). Certain case studies in the aerospace and automotive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 209–220 Read article
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Bridging the Theory-Practice Gap in Nursing Education in India: Exploring the Role of Simulation-Based Learning and AI-Driven Education
Abstract: The theory-practice gap in nursing education is a persistent issue that hinders the effective application of theoretical knowledge in clinical practice, ultimately affecting the clinical competence and decision-making skills of nursing graduates. This study explores the factors contributing to the theory-practice gap in nursing education in India and evaluates the potential of simulation-based learning (SBL) and artificial intelligence (AI)-driven education in bridging this gap. A mixed-methods approach was employed, involving …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 Read article
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Blockchain Technologies and Edge Computing in Organic Farming: From Farm-to-Market
Abstract: In today's world of growing internet-based applications and usage, blockchain technology holds the potential to significantly transform our economic, social, and environmental landscape. We are currently on the cusp of a significant transformation, witnessing a substantial shift towards recognizing the credibility and relevance of blockchain technology. This presents us with a prime moment to envision new possibilities for our lifestyles, our economic systems, and the global dynamics of human interaction. …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 10–16 Read article
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Applications of Carbon Dioxide Emissions Calculations in the Operation of Public Passenger Transport Systems
Abstract: This paper aims to analyze emissions from public passenger transport systems, metros and buses, compared with private cars, establishing calculating these emissions. The calculations were applied in the city of Rio de Janeiro, Brazil. The results obtained indicate that the electric trains of the system had an average emission of 4.5 g of carbon dioxide (CO2) per passenger-kilometer, a result 10 times lower than the emission of buses, which in …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 12–20 Read article
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Enhanced Oil Recovery through the Application of Nanoparticles with Irvingia Gabonensis in Flooding Process in the Reservoir
Abstract: This experimental investigation is aimed at establishing the ability of nanofluids formula from a mixture of nanoparticles and oil extracted from Irvingia gabonensis (bush mango) in enhancing recovery from oil reservoir. The laboratory study involved the use of core flooding unit, crude oil, brine, nano-particles and Irvingia gabonensis. In this study, nanofluids formulated from nanoparticles of aluminum oxide (Al 2 O 3 ) and zinc oxide (ZnO) respectively were used …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 2, 2022 · pp. 1–9 Read article
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Review on Basics of Computer Vision and Its Applications
Abstract: A wide range of processes that include the representation of visual perception are studied and analyzed in the domain of computer vision. The domain also comprises of various techniques such as image processing, geometric modelling, pattern classification, etc. The applications of computer vision have a range from hospital room to manufacturing industries and up to the surface of Mars. In this paper we aim to provide an overview of the …
Published in Research and Reviews : Journal of Computational Biology · Vol. 6, Issue 2, 2017 · pp. 33–40 Read article
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TensorFlow: Architecture, Applications, and Future Challenges
Abstract: TensorFlow, an open-source machine learning platform created by Google, has revolutionized how artificial intelligence (AI) systems are built and implemented. Designed to support scalable and flexible model training across CPUs, GPUs, and TPUs, TensorFlow enables researchers and developers to construct advanced deep learning models with efficiency and precision. This study provides an in-depth examination of TensorFlow's architecture, including its use of dataflow graphs and tensor-based computation. We explore its adaptability …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 41–50 Read article
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Effect of Initial Temperature and Diameter of Ethanol Droplet on Evaporation Dynamics in Convective Air Medium
Abstract: Ethanol is a suitable biofuel as it has fewer toxic emissions and higher-octane numbers. For spray combustion applications, the gas phase motion must be considered while numerically investigating the fundamental aspects of droplet evaporation and combustion processes. Hence, we have numerically simulated the evaporation dynamics of an isolated spherically shaped ethanol droplet under a forced convective air environment in the absence of gravity. The momentum transfer between two phases is …
Published in Journal of Polymer & Composites Read article
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Artificial Intelligence in Drug Repurposing: A Short Impact Assessment
Abstract: Artificial intelligence (AI) in pharmaceutical repurposing has become a game-changing tool that opens new avenues for the application of new drugs that have already been approved. Traditional drug discovery is a lengthy and expensive process, whereas AI can rapidly analyze vast datasets of biological, chemical, and clinical information to predict drug-disease interactions. AI-driven techniques, such as machine learning, natural language processing, and deep learning, enable the identification of potential repurposing …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 42–45 Read article