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1968 articles for “ztial arts” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Sensors and Artificial Intelligence based Intelligent Thermos
Abstract: For more than a century, the traditional thermos bottle—a passive container for temperature control—has essentially not altered. This offers a huge chance for innovation in a time when health and wellness technology are intertwined. In order to bridge the gap between basic fluid containment and proactive personal health management, this paper presents the design concept for an Intelligent Thermos, a smart hydration system. A low-power microprocessor with Bluetooth connectivity controls …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 37–45 Read article
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Artificial Intelligence and IoT Integration for Real-Time Violence Monitoring
Abstract: The peace and tranquility of any place can be affected greatly by the insurgence of violence and violent attacks that are perpetrated by individuals with malicious and nefarious intentions. These individuals terrorize the areas and can cause a lot of harm and damage to people and public property. The incidences of violence are undesirable and can be problematic to handle by the law enforcement agencies, as these acts are committed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 39–45 Read article
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“REVIEW ARTICLE ON TRIDAX PROCURMBENS HERBAL ANTIBACTERIAL CREAM”
Abstract: Abstract Tridax procumbens (L.), also referred to as coat buttons or tridax daisy, is a common plant in the Asteraceae family that is well-known for its exceptional pharmacological and therapeutic properties. This plant has long been utilized as an anticoagulant, antifungal, insect repellent, wound healer, and hepatoprotective agent in Indian Ayurveda. With a focus on its medicinal and formulation features, the current study offers a thorough summary of its botanical …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 21–29 Read article
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Comprehensive Review Article on Nutraceuticals and Herbal Medicines
Abstract: Ayurveda is a roughly 5000-year-old medical system that is mainly practiced in India. It emphasizes the body, mind, and spirit in illness prevention and treatment and incorporates herbal treatments and diet. Ayurveda is one of the traditional medical systems in India. Ayurveda is based on the idea of avoiding needless pain and leading a long, healthy life. Ayurveda employs natural remedies to eradicate the disease's underlying cause by reestablishing equilibrium …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 · pp. 33–41 Read article
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Modern Approaches in Lung Cancer Management from Herbal Nanomedicine to Artificial Intelligence
Abstract: Lung cancer continues to be a major global health concern and one of the leading causes of cancer-related mortality worldwide. Despite significant advancements in therapy, there is still a pressing need for safer and more effective therapeutic alternatives; problems such drug resistance, side effects, metastasis, and recurrence continue to impact patient outcomes and quality of life. Examining current advancements in the use of herbal drug-loaded nanoparticles as a novel approach …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Polymers and others Advance Materials: A State-of-the-Art Review
Abstract: Developing emerging technologies requires pushing the boundaries of material science. Right now, conventional neat polymers simply do not last long enough in the field. They suffer from sudden mechanical failure, struggle with thermal instability, and throwaway disposal methods have created a massive environmental crisis. To tackle these exact issues, this review provides a critical evaluation of two rapidly growing solutions: sustainable bio-composites and self-healing polymer systems. Rather than offering a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 108–119 Read article
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Sanskruti AI : Rediscovering Indian Culture Using Artificial Intelligence
Abstract: Away from old ways, many young people in India now find customs hard to reach, losing touch with sacred texts, local traditions, and deeper beliefs. Into this space steps Sanskruti AI - an intelligent tool using sound, text, and vision to bring culture closer, tailored to how today & users think and feel. Instead of flat translations, it unpacks verses from Sanskrit with layers: word-for-word sense, background context, inner meaning. …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 30–36 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow
Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 9–25 Read article
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A REVIEW ARTICLE ON RISK MANAGEMENT IN CONSTRUCTION PROJECTS
Abstract: Risks are very general in construction industry. The construction industry is broadly linked with a high risk and uncertainty due to the nature of its working environment. Thus, the need of risk management is required. Risk management is to identify risk, analysis risk and provided most suitable treatments. Risk analysis is done to identify these risks in the project and manage it accordingly. By using probability and impact method which …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 3, 2018 · pp. 1–4 Read article
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Improving the Forecasting Accuracy of a Project Status Using the Inputs of Earned Value Management – A Review Article
Abstract: The earned value method (EVM) is recognized as a viable method for evaluating and forecasting project cost performance. Its application to schedule performance forecasting has been limited due to poor accuracy. The index based EVM forecasting methods are deterministic approaches having large forecasting errors in the initial stages of a project. Hence this paper gives a brief overview of the advanced accurate approaches like Kalman filter, growth model and linear …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 3, 2015 · pp. 13–17 Read article
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Improvement of Power Quality & Voltage Profile Through the Optimal Placement of Artificial Intelligence based UPFC Controller
Abstract: Amidst the array of FACTS controllers, the Unified Power Flow Controller (UPFC) stands out as a distinguished member, renowned for its array of beneficial features. Recognized as among the most advanced FACTS devices, the UPFC excels in facilitating simultaneous control overactive and reactive power flow as well as voltage magnitude. FACTS devices are instrumental in managing power flow, enhancing transmission capacity, and optimizing power system stability. Increasing the capacity of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 18–26 Read article
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Artificial Neural Network Based Defect Prediction in Casting
Abstract: The main problems which are facing by most of the casting industries is loss of productivity which is due to casting defects occurred during the production time. The main casting defects are cracks, misruns, blowholes scabs and airlocks. Most of the investigations made in this area is only discussing the defects occurred after a cast is made and no method has yet been developed to prevent the defects before casting. …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 2, 2015 · pp. 33–38 Read article
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Performance of Smes Unit on Artificial Neural Network Based Multi-Area Agc Scheme
Abstract: The main objective of this paper is to develop Fuzzy controller to analyse the performance ofinstantaneous real active and reactive power (p–q) control strategy for extracting reference currents ofshunt active filters under balanced, un-balanced and balanced non-sinusoidal conditions. When the supplyvoltages are balanced and sinusoidal, the all control strategies are converge to the same compensationcharacteristics; However, the supply voltages are distorted and/or un-balanced sinusoidal, these controlstrategies result in different degrees …
Published in Journal of Power Electronics and Power Systems · Vol. 1, Issue 1-2-3, 2011 · pp. 47–58 Read article
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Comparative Analysis of Artificial Intelligence-based MPPT Algorithms for Wind Energy System
Abstract: By extracting maximum possible power from a wind generator system, the efficiency of the system can be increased. Radial basis function (RBF), feed forward back propagation (FFBP) and adaptive neuro-fuzzy inference system (ANFIS) are recognized as the universal estimators. This paper presents a single network based maximum power point tracking (MPPT) of a wind turbine system using these algorithms. The single network based maximum power extraction method is simple and …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 3, 2020 · pp. 7–18 Read article
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A State-of-the-Art Strategy for Guesstimate of Reliability of Cumbersome Radial Distribution Structure
Abstract: Reliability assessment of an engineering system or systems or component or element is very important in order to forecast its availability or unavailability and other important indices related to the component or system as a whole. Reliability is the floating which tells about the availability or unavailability of the component under proper working conditions for a given period of time. A lot many research papers have been reported for reliability …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 3, 2021 · pp. 9–16 Read article
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Latest Research Trend of Optimization Techniques and Considerable Parameters in Wire Electrical Discharge Machining (WEDM): Review Article
Abstract: Wire electrical discharge machining (WEDM) is a non-conventional machining method with unique capabilities. WEDM offers a better alternative or sometimes the only alternative to produce complex shaped features and components of difficult-to-machine materials. In today’s highly competitive manufacturing industries, manufacturer’s ultimate goal is to produce high quality product with less time and cost constraint. To achieve these goals, one of the considerations is by optimizing the machining process parameters such …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 30–53 Read article
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Effect of Fiber Addition in Geopolymer Concrete: A Study on Comparison betweenNatural and Artificial Fibers
Abstract: Geopolymer concrete is an inorganic polymer concrete, containing no ordinary Portland cement (OPC). It is produced by reacting alumino-silicate source material with alkaline solution. Geopolymer concrete has highly desirable structural engineering properties, which can lead to significant environmental and economic benefits. Fibers in general and polypropylene (PP) fibers in particular have gained popularity in recent years for use in concrete, mainly owing to their low price and excellent characteristics. Alkalineliquids …
Published in Journal of Structural Engineering and Management · Vol. 2, Issue 1, 2015 · pp. 18–24 Read article
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History and Development of Design of Regime Channels: A State of the Art Review
Abstract: Channels carrying sediment laden water and constructed in erodible alluvial materials must be designed to be silt stable or in regime such canals by definition neither scour nor silt. The design of channel involves the selection of channel alignment, shape, size and bottom slope. In general, a channel changesincessantly in its position, shape and slope, as a consequence of hydraulic forces acting on its bed and banks. The design of …
Published in Journal of Structural Engineering and Management · Vol. 1, Issue 1, 2014 · pp. 7–15 Read article