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1977 articles for “AC Analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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E-glass Fiber Epoxy Composites: Role of Al2O3/SiC Fillers in Physical, Flammability and Mechanical Characteristics
Abstract: This study investigates the effects of varying weight percentages of Silicon Carbide and Alumina particles in epoxy-based composites, fabricated through compression molding, on their physical and mechanical properties. Comparing different studies on carbon fiber-reinforced polymer (CFRP) composites, as well as glass fiber-reinforced polymer (GFRP) composites, especially with the reinforcement of nanoparticles such as silicon carbide (SiC), alumina (Al2O3) and graphene. The investigations cover fabrication methods, like vacuum infusion and compression …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 238–250 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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The Dual Crisis: Antibiotic Resistance and the Discovery Void – A Review of Novel Therapeutic Strategies and Non-Traditional Approaches
Abstract: The global rise of antimicrobial resistance (AMR) has emerged as one of the most critical public health challenges of the 21st century, threatening to undermine decades of therapeutic success and rendering conventional antibiotic regimens increasingly ineffective. Parallel to the escalating resistance rates is a profound “discovery void,” characterised by a steep decline in the development of new antibiotic classes since the late 20th century. Together, these two interconnected crises create …
Published in International Journal of Antibiotics · Vol. 3, Issue 1, 2026 · pp. 47–65 Read article
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AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
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Study on Single-Slope Solar Still for Experimental and Data-Driven Analysis for Improving Productivity with Different Basin Materials.
Abstract: This study investigates the single-slope solar still under the diurnal variation of water temperature and distillate yield under identical operating conditions. Experimental analysis was conducted to evaluate the performance enhancement through the incorporation of natural basin materials, namely hemp and sand. The water distillation process is focused on improving potable water productivity and thermal behaviour. The inclusion of hemp and sand in the basin leads to noticeable differences in productivity …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 2, 2026 · pp. 31–46 Read article
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Therapeutic Prospects and Comparative Bioactive Evaluation of Fenugreek Seed Extracts
Abstract: A medicinal plant with substantial therapeutic potential, fenugreek (Trigonella foenum-graecum L.) is rich in bioactive phytoconstituents. The phytochemical makeup and antioxidant properties of aqueous and methanolic fenugreek seed extracts were compared in this study. Phenolics, flavonoids, terpenoids, alkaloids, tannins, and saponins were found in both extracts, with the methanolic fraction showing greater intensity, according to preliminary phytochemical screening. The methanolic extract has higher levels of phenolic, flavonoid, and terpenoid content, …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 2, 2026 · pp. 64–75 Read article
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Tensile and Flexural Strength Quantification of Basalt-Reinforced Epoxy Composites Fabricated via Vacuum-Assisted Resin Transfer Molding at Varied Fiber Volume Fractions Description
Abstract: Fiber-reinforced polymer composites have been identified to possess excellent properties that render them very suitable in the aerospace, automotive, marine and renewable energy sectors. However, for the industrially scalable vacuum-assisted resin transfer molding (VARTM) process, optimization of mechanical properties of basalt epoxy composites must be achieved systematically, which means that the effect of the fiber volume fraction (VF) on the mechanical properties of the composite needs to be quantified for …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 43–57 Read article
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Modeling of hybrid solar wind and thermal power plant for improving power system reliability
Abstract: Despite the fact that solar and wind power are two of its most promising alternatives, study on alternative energy sources has been restricted. Integration research has been reported to taking use of complementary qualities of the two. The number of solar modules, the height of the wind turbines, the number of wind turbines, and the diameter of the turbine rotor are the elements that will be improved in this study …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 18–27 Read article
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Mechanistic and Catalytic Behavior of Os(VIII) for the Chlorpheniramine Maleate and Bromamine-B Redox System: A Kinetics Based Approach
Abstract: Chlorpheniramine maleate (CPM) is an important antihistamine agent. To the best of our knowledge there is no report in the literature about the oxidation of CPM with halogen + 1 oxidant from the stand point of its kinetics and mechanistic chemistry. Hence, a systematic kinetics and mechanistic study on the oxidation of CPM with bromamine-B (BAB) in the presence of NaOH and Os(VIII) catalyst has been carried out at 303 …
Published in Journal of Catalyst & Catalysis · Vol. 2, Issue 1, 2015 · pp. 18–31 Read article
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Focus Areas of Corporate Social Responsibility Initiatives in Two Leading Companies in Ethiopia: Towards Unveiling the Status of CSR from this Part of the Developing World
Abstract: CSR literature clearly asserts that there is a dearth of CSR studies from the part of the developing world; and thus far very little is known about CSR initiatives from the developing world. On top of that while CSR studies from developing countries in general is dominated by studies from Asian continent, CSR studies from Africa are profoundly dominated by South Africa, and CSR scholars and practitioners know virtually so …
Published in Journal of Production Research & Management · Vol. 8, Issue 1, 2018 · pp. 18–24 Read article
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Study of Wear Behaviour of GFRP Composites filled with Nanofiller using Taguchi Technique
Abstract: AbstractThe GFRP laminates are fabricated by hand lay-up process followed by vacuum bag curing and post cured in a heating oven. The laminates are fabricated with addition of 1%, 1.5% and 2.0% graphene filler and prepared laminates are cut into ASTM standards by using water jet cutting. The density and volume fraction of the void fabricated composite is determined. The three-body abrasive wear test is carried out on abrasion tester …
Published in Recent Trends in Fluid Mechanics · Vol. 5, Issue 3, 2018 · pp. 33–38 Read article
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Measles Eradication by Vaccination: Opportunities and Challenges
Abstract: Measles is one of the vaccine preventable viral diseases that mainly occur in children. The disease was targeted for elimination by a vaccination program that was initiated three decades back. The measles death rate decreased by 74% from the year 2000 to 2010. This was short of targeted 90% mainly because of low vaccine coverage in some countries. Although, there is marked reduction in measles morbidity and mortality, still it …
Published in Research and Reviews : A Journal of Immunology · Vol. 2, Issue 3, 2012 · pp. 1–7 Read article
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Prevalence of Protein Energy Malnutrition Among Under-Five Children Belonging to Rural Areas of Ambala, Haryana, India
Abstract: Objective: A study to assess the prevalence of protein energy malnutrition (PEM) among under-five children with various sociodemographic variables which affect the nutritional status among under-five children in selected rural areas of Ambala, Haryana, India. Study Design and Setting: House to house visits by cross-sectional study covering 300 under-five children in rural areas of Ambala, Haryana, India. Data analysis consisted of descriptive statistics and inferential analysis of nonprobability consecutive sampling.Result: …
Published in Research and Reviews: A Journal of Medicine · Vol. 7, Issue 3, 2017 · pp. 14–20 Read article
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Study of Energy Efficiency in IoT Devices
Abstract: The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, yet its growth presents significant energy efficiency challenges. This paper explores strategies to address these challenges by investigating energy harvesting techniques and low-power communication protocols. Energy harvesting methods, including solar, kinetic, and thermal energy, offer sustainable alternatives to traditional battery-powered IoT devices, reducing dependency on non-renewable resources and enabling longer operational lifetimes. Simultaneously, low-power …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 34–40 Read article
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Design and Analysis of MAC Unit Using Single Precision Floating Point Vedic Multiplier
Abstract: Multiplication and accumulation are the basic operations which are important in several microprocessors and digital signal processing (DSP) applications to execute dedicated algorithms. Developing high speed MAC is essential for real time DSP application. The MAC unit determines the speed of the overall system and it lies in the critical path. As the demand for high speed design is continuously increasing, the studies related to the field of multipliers and …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 3, 2018 · pp. 28–35 Read article
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A Review Study on Analysis & Design of Electrical Transmission Towers
Abstract: Due to the increasing demand of electrical energy, the analysis & design of transmission line towers is very important. Out of total cost of transmission lines the transmission line towers constitute about 28 to 42 percent. This research paper presents an overview of research work done regarding the analysis & design of transmission line towers. Study focuses on types, member section types, geometry, capacity, base condition, important parameters of analysis …
Published in Journal of Structural Engineering and Management · Vol. 6, Issue 1, 2019 · pp. 1–7 Read article
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Polyherbal Cookies For Diabetic Patients: Formulation and Evaluation
Abstract: In order to control their hunger and obtain some energy, most people eat cookies for breakfast, snacks, and at leisure. Refined flour, sugar, and butter are the major ingredients of the various types of cookies that are sold in stores. Because they raise blood sugar levels, obese and diabetic individuals typically avoid them. As a result, we have created Polyherbal cookies in this latest study utilizing oats, wheat flour, and …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 2, 2025 · pp. 22–40 Read article