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769 articles for “AI automation”
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Luxury in Sustainability: Designing Eco-Friendly Yet Opulent Interiors
Abstract: This report explores the evolving relationship between luxury and sustainability in interior design, challenging the misconception that opulence and environmental responsibility are incompatible. It examines how high-end residential, commercial, and hospitality spaces integrate sustainable materials, energy-efficient technologies, and ethical sourcing to create refined yet eco-conscious interiors. Through detailed case studies, including Bloomberg European Headquarters, Six Senses Zil Pasyon, and Passive House designs, the study highlights innovative approaches to reducing carbon …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 2, 2025 · pp. 19–45 Read article
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Noise and Vibration Reduction Using Sustainable Polymer Nanocomposite Materials: A Review
Abstract: Noise pollution and structural vibration represent critical challenges in modern engineering systems, affecting human health, operational efficiency, and equipment durability. This review examines the application of sustainable polymer nanocomposite materials for simultaneous noise and vibration reduction across diverse engineering domains. The fundamental relationship between structural vibration and noise generation is established, followed by a comprehensive analysis of sound absorption and damping mechanisms in nanoparticle-reinforced polymer systems. Multi-walled carbon nanotubes (MWCNTs), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 785–798 Read article
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Drilling Effect on Fiber Composites: A Review
Abstract: Composites laminates show immense mechanical properties like strength-to-weight ratio, damage tolerance, fatigue and corrosion resistance therefore conventional materials are replaced by composites in many areas such as automobile and aircraft structure. Machining of composites is very difficult than machining of a conventional material because composites are inhomogeneous and extremely abrasive. In production drilling is important machining process used to produce hole for riveted and bolted joint. There are many improvements …
Published in Journal of Experimental & Applied Mechanics · Vol. 6, Issue 3, 2015 · pp. 42–50 Read article
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The Effect of Compression on Sound Absorption of Multi-layered Isotropic and Transversely Isotropic Porous Materials at Oblique Incidence
Abstract: Porous materials which are effective in sound absorption in automobile and airplane industry areoften used under compression. This compression is associated with a reduction in thickness and theresulting changes in acoustical properties and non-acoustical parameters of the porous materials.Therefore, these acoustics changes should be taken into account when the behavior of these materialsis studied. So far, the studies on the effect of compression on sound absorption characteristics ofporous materials have …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 1, 2021 · pp. 43–61 Read article
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IoT in Agriculture: A Systematic Review of Smart Farming Solutions and Innovations
Abstract: This paper is based on a project titled “IoT-based smart farming. It discusses the utilization of the power of contemporary technology like sensors and cloud computing. IoT-based smart farming is revolutionizing traditional agricultural practices. This project also enables farmers to manage their farms remotely. The primary goal is to support an existing farmer and a new farmer who wants to start farming as their side income source by remote farming. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 2, 2023 · pp. 17–26 Read article
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STUDIES ON MECHANICAL AND TRIBOLOGICAL PROPERTIES OF LM25 COMPOSITES
Abstract: Aluminium LM25 alloy is widely used at automobile and aircraft industries in the form of cast component with varying section size. This study investigates how the microstructure and mechanical properties of LM25 alloy before and after addition of reinforcement material of coconut shell ash to the base material aluminium alloy as Metal Matrix Composites have wide range of applications in current industrial scenario. Conventional materials have limitations with respect to …
Published in Journal of Materials & Metallurgical Engineering · Vol. 8, Issue 2, 2018 · pp. 12–17 Read article
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Effect of Solutionizing and Ageing on Mechanical Properties of AL2024 Reinforced Alumina Particulate
Abstract: AbstractAluminium 2024 alloy is widely used at automobile and aircraft industries in the form of cast component with varying section size. This study investigates how the microstructure and mechanical properties of AL2024 alloy before and after heat treatment processes. Solution sing at 493°C-5H followed quenching in water at room temperature. Stir casting method is followed to obtain the required composite material with proper mixing of reinforcement. Further, the mechanical properties …
Published in Journal of Materials & Metallurgical Engineering · Vol. 8, Issue 3, 2018 · pp. 8–12 Read article
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Wear Characteristics of Aluminium-Graphite Composites Produced by Stir Casting Technique
Abstract: Metal matrix composites (MMCs) are finding more applications due to their significantly improved properties such as high specific strength, high specific modulus, good damping capacity and good wear resistance compared to unreinforced alloys. In recent years, there has been an increasing interest in composites containing low density and low cost reinforcements. Graphite is one of the most suitable and low density reinforcement available for making light-weight and wear resistant parts …
Published in Journal of Materials & Metallurgical Engineering · Vol. 4, Issue 3, 2014 · pp. 13–20 Read article
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Synthesis and formability of Al/(Fe-Mn) particulate compositeusing stir casting
Abstract: Demand for lightweight and fuel economy by automotive and aircraft industries focuses to explore different materials. Alloys and composites developed with same objective to obtain superior desired mechanical properties compatible for such intended applications. However, alloy consider as solid solutions with metallic properties and cannot mix with primary major element in random proportions. This forced researcher community to develop composites, which are heterogeneous solid solutions or multi-phase materials comprising matrix …
Published in Journal of Polymer & Composites · Vol. 10, Issue 1, 2022 · pp. 80–88 Read article
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An Introduction to Proteome Bioinformatics
Abstract: For basic and translational research, high-throughput approaches are essential. Recent improvements in proteomics techniques, for example, have allowed biomedical researchers to characterise the proteome of a variety of creatures. Proteome bioinformatics approaches and technologies have greatly aided this extraordinary progress. The study and use of informatics in the realm of proteomics is known as proteome bioinformatics. This chapter presents an overview of the computational strategies, methodologies, and techniques for bioinformatics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 7–9 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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AI-Powered Fire Detection System for Accurate and Timely Emergency Response
Abstract: AI-based fire detection system leverages deep learning and Open CV. Issues with conventional fire detection techniques include false alarms and expense. The proposed system uses deep learning for real-time fire detection in videos, enhancing accuracy and adaptability. OpenCV aids in crowd counting, improving situational awareness during emergencies. This innovation promises to revolutionize fire safety by offering timely and precise detection, potentially saving lives and property. Additionally, by counting crowds, the …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 30–36 Read article
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Vehicle Black Box Systems: Evolution, Implementation, and Impact on Road Safety
Abstract: The main goal is to create a Black Box System for Vehicle that can be used to enhance road safety. To record accident data, as well as the location of the accident, an SOS message, the temperature of the car, and an automatically administered breathalyzer test for the driver, we are developing a black box in this project. The Black Box for Vehicle can aid in making automobiles safer, gather …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 38–46 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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Next-Gen Parking Technology: Automatic Hand Brake Systems Unveiled
Abstract: Hand brakes are one of the most important safety systems in a motor vehicle. When parked, the hand brake mechanism's primary function is to maintain the car's secure motionlessness. The primary purposes of the brake system are to slow down the car, maintain speed when driving downhill, and, in the end, park the car in a stationary position on a level or sloping road. Human intervention is involved in the …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 31–43 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Deploying Optimal Number of Sensors and Damage Detection in Structural Health Monitoring Using SEM-GA Method
Abstract: Detecting damages is the most important criterion in any engineering creation—be it a machine or a building. Among the engineering creation, civil engineering structures need a continuous monitoring to check their operations, performance and the health status of the structures. Damage detection cannot be done manually every time. Automated systems have to be developed in order to monitor the health of the structure periodically. Hence, structural health monitoring (SHM) aims …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 28–35 Read article
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Artificial Intelligence in Medical Fields
Abstract: Artificial intelligence (AI) is a branch of computer science capable of analyzing complex medical data. This can be used in diagnosis, treatment and predicting outcome in many clinical scenarios. Medicine and internet searches were carried out using the keywords ‘artificial intelligence’ and ‘neural networks’. An overview of different AI techniques is presented in this paper along with the review of importance in clinical applications. The proficiency of AI techniques has …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 1, 2019 · pp. 1–3 Read article
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Embedded System for Rain Sensing Car Wiper
Abstract: The automatic rain wiper system aims to detect rainfall and activate windshield wipers automatically, eliminating the need for manual intervention by the driver. For over a century, the driver has been the one operating the windshield wiper. The wiper should be turned on when the driver feels that driving the vehicle is difficult and that better vision is necessary. On the other hand, since the driver must concentrate solely on …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 Read article