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1898 articles for “AI applications”
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A Review on Anesthetic Drug Discovery with Computer Aided Drug Design
Abstract: In contemporary medicine, anaesthesia is essential for enabling surgical procedures, pain control, and patient comfort. Finding and creating safe and efficient anaesthetics is crucial to enhancing patient outcomes and developing the medical field. In this review, we provide a comprehensive overview of anesthetic drug discovery with a focus on the integration of computer-aided drug design (CADD) methodologies. Beginning with an exploration of anesthesia mechanisms and targets, we delve into the …
Published in International Journal of Antibiotics · Vol. 1, Issue 3, 2024 Read article
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Nanoparticle Chemistry: The Synthesis, Properties and Applications of Polymer and Macromolecule-Based Nanoparticles and Their Composites
Abstract: Nanoparticles have arisen as a transformative branch of materials in chemistry, owing to their unique physicochemical and biological properties that vary from their bulk materials. Various synthesis techniques, including physical (e.g., laser ablation), chemical (e.g., sol-gel, co-precipitation) and biological (e.g., microbial or plant-mediated) approaches, offer control over particle size, shape and surface characteristics. These methods influence the optical, electronic, catalytic and mechanical properties of nanoparticles. Nanoparticles can exhibit high surface …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1236–1247 Read article
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Advances in Analytical Chemistry Research Methodology: Trends and Applications
Abstract: Analytical chemistry is critical to scientific study because it allows for the accurate identification, measurement, and characterization of chemical compounds. Recent advances in methodology have improved accuracy, sensitivity, and efficiency, with techniques such as High-Performance Liquid Chromatography (HPLC), Gas Chromatography (GC), Mass Spectrometry (MS), and Nuclear Magnetic Resonance (NMR) spectroscopy transforming analytical procedures. The combination of Artificial Intelligence (AI) and Machine Learning (ML) has enhanced data processing, pattern recognition, and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 10–18 Read article
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Architectural and Technological Progress in Modern Mobile Computing
Abstract: Over the last decade, mobile technologies have experienced rapid and transformative growth, reshaping the way individuals interact with the world and redefining multiple sectors, including healthcare, education, communication, and commerce. Continuous improvements in mobile hardware, such as faster processors, enhanced sensors, and longer-lasting batteries, have significantly improved device performance and usability. At the same time, the widespread development of mobile applications has expanded the functional scope of smartphones, enabling personalized, …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 20–31 Read article
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Cold Atom Sensors in Space Applications: A Global Scenario
Abstract: In recent years, quantum technology has attracted attention in inertial navigation, especially due to its extreme sensitivity to inertial forces and strong immunity to drifts, which plague conventional sensors. There are multiple groups around the world working on cold atom interferometry aiming to develop high sensitive inertial sensors for very high accuracy autonomous navigation. Recent advancements in micro-fabrication technologies have helped in development of robust and miniaturized atom interferometry based …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 10, Issue 1, 2021 · pp. 1–12 Read article
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Electrospun Nanofibers for Biomedical and Pharmacological Applications
Abstract: In biological and pharmaceutical sectors, nanofibers which have unique properties including a lot of surface area, tunable porosity, and high mechanical strength are very fascinating and may be made flexibly and effectively by electrospinning. More and more in biosensors, tissue engineering, drug delivery, wound healing, and medication delivery are these electrospun nanofibers being used. They may fundamentally alter the way healthcare is administered. Advanced medical applications benefit from fibres' ability …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 375–387 Read article
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A Review of Drug Design Techniques Assisted by Computers to Combat Diabetes
Abstract: Diabetes mellitus is a global health concern characterized by chronic hyperglycemia and associated complications. The creation of innovative medicines with enhanced efficacy and safety profiles continues to be a top focus, notwithstanding improvements in treatment. A useful method in drug development, computer-aided drug design (CADD) makes it easier to identify possible therapeutic candidates and optimise lead molecules. An extensive synopsis of CADD tactics used in the fight against diabetes is …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 1–10 Read article
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Fluid-Structure Interaction Simulation of Parachute by Eulerian-Lagrangian penalty method
Abstract: In general, modeling and simulation of a model consisting of fluid and solid combinations has been considered difficult, and it has become impossible in terms of computer dependencies and accuracy to be analyzed by Fluent or other programs. The parachute evaluation process, which is historically based on a large amount of experimental data, necessitates many falling experiments. These tests can be costly and time-consuming, and they don't always allow for …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Enhancing Concrete Durability and Mechanical Properties for Pavement Quality Concrete (PQC) Roads Using Basalt Fiber Reinforcement
Abstract: Concrete, by nature, is brittle and has a very low tensile capacity, which is a double whammy in transportation infrastructure, such as pavement quality concrete (PQC), for roadways, where we need durability and strength. One such method is the use of basalt fibre, as it is a much better way of enhancing the road runway way performance of concrete. This research studies the impact of the addition of basalt fibres …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 266–280 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Experimental and CFD Analysis on a Hybrid Cooler
Abstract: AbstractSince the invention of air conditioners, it has been used widely all over the world. The harmful effects of ACs cannot be ignored as far as the environment is concern. AC being widely used, needs a suitable alternative for sustainable goals to be achieved. Air conditioning with the help of forced ventilation system is studied in this research work. Its implementation and effects on the room temperature is studied in …
Published in Journal of Thermal Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 1–8 Read article
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UWB Band Pass Filter Using Dielectric Resonator
Abstract: A novel ultra-wideband (UWB) bandpass filter is proposed and implemented using a dielectric resonator, with aim of transmitting the signals in the whole UWB passband of 3.1–10.6 GHz. Ultra-wideband (UWB) is a promising innovation for some remote applications because of its expansive transfer speed, great proportion of transmission information and low power cost. The filter is compact in size with a great simplicity in assembly and integration. The developed UWB …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 3, 2016 · pp. 25–29 Read article
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Research paper on Bluetooth based Home Automation using Arduino
Abstract: Abstract: - The world is moving fastly towards automation. People have less time to handle any work so automation is simple way to handle any device or machine will work to our desire. This paper aim is to develop and design a Home automation using Arduino with Bluetooth module. Home automation system gives a simple and reliable technology with Android application. Home appliances like fan, Bulb, AC, automatic door lock …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 2, 2019 · pp. 9–14 Read article
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Anatomization of Haptic Technology in Virtual Sphere
Abstract: Abstract- In the course of modern technology and virtual world haptic technology has grown fastly. The work done in this field is continuously entertaining the need of today’s society. The objective of this review paper was to speculate and identify the current scenario of the virtual reality work. The amount of work which has been driven out is enhancing the application-based study in many field such as medical and military. …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 2, 2019 · pp. 1–3 Read article
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Reliable Data Transport in Platform-Based WSN
Abstract: Wireless Sensor networks (WSNs) are being used widely in the data to day life of human. Sensor network is a collection of tiny sensors connected through different Wireless medium. The main aim of sensor networks is to monitor and control of physical environments from remote locations with better accuracy. WSNs are having a wide range of applications areas such as military battle fields, environmental monitoring, health monitoring sensors in network …
Published in Recent Trends in Sensor Research & Technology · Vol. 1, Issue 1, 2014 · pp. 16–21 Read article
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Trend Analysis of Research on Arsenic Pollution in West Bengal, India
Abstract: West Bengal is one of the worst affected states in India in terms of arsenic pollution. Nine out of its nineteen administrative units are severely affected, five moderately affected and a population of over 28 million suffers from the maladies of arsenic pollution. The problem, reported initially in 1978, was clinically detected for the first time in 1983. It gained importance as an issue of concern in the late 80s …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 4, Issue 3, 2014 · pp. 25–42 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article