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1984 articles for “AC Analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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Infrared Spectroscopic Studies on Multiwalled Carbon Nanotubes Reinforced Acrylonitrile Butadiene Styrene Composites
Abstract: AbstractFourier Transformed Infrared (FT-IR) Spectroscopic analysis is an effective technique to captures the response of the molecular motions such as stretching, bending and torsional vibrations of materials. In this study, FTIR analysis has been done on two different grades of multiwalled carbon nanotubes (MWCNT) C100 and NC7000. NC7000 grade MWCNT has a higher degree of crystalinity and shows 60% higher absorbance in the wavelength range of 600-3600 cm-1. These two …
Published in Journal of Polymer & Composites · Vol. 2, Issue 3, 2023 · pp. 15–22 Read article
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Analysis of Time and Cost Overruns in Road Project
Abstract: Management of the risk is the best approach during construction of road project, wherein numbers of unforeseen factors are involved. The project under consideration is the construction of 30 m wide road from Wadalagaon to Takligaon under the jurisdiction of Nashik Municipal Corporation. The road construction was started especially to cater the huge crowd likely to occur during Sinhastha Kumbha Mela, which comprises of laying of water supply, storm water …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 52–57 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Recent Advancements and Comprehensive Review on Hyphenated Techniques
Abstract: Hyphenated techniques represent a powerful class of analytical methods that combine two or more established techniques – typically a separation method with a spectroscopic detection technique – to achieve enhanced analytical performance. First introduced by Hirschfeld in 1980, the term “hyphenation” refers to the online coupling of such methods, enabling more precise, sensitive, and comprehensive analysis of complex samples. These techniques exploit the strengths of individual methods while overcoming their …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 37–50 Read article
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Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article
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Numerical Simulation of Air Flow Field of A Gas Turbine Engine Air blast Atomizer
Abstract: One of the most crucial process that occurs before the fuel is burned in the combustion chamber is atomization. The performance of a engine will be depend mainly on the fuel mixture. Performance of the engine depends on atomization process because it breaks the bulk fuel into small droplets and injects it into the combustion chamber, in order to make this happen consequently the dimensions of most of the fuel …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 169–180 Read article
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Analyzing the Cognitive Proficiencies of Artificial Intelligence Within the Legal Paradigm: Prospects Within the Jurisdiction of India
Abstract: The swift progress of artificial intelligence (AI) has become a pivotal factor in various industries, notably affecting the legal sector. This study extensively investigates the substantial effects of AI on legal research and case analysis, mapping out the progression of AI technology within the legal domain. The exploration goes beyond mere acknowledgment of AI‘s presence, delving into a nuanced analysis of its potential advantages and the formidable challenges it poses …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 84–112 Read article
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Effects of Live Loading on Concrete Box Girder Bridges
Abstract: Live load distribution factor is very useful to find out the live-load moments for different bridge girder design when we perform two dimensional analyses. Superstructure of bridge is considering to find out the live load factors, that factors are consider to analyze different kinds of bridge. In this research study live load distribution factors in both interior as well as exterior girders for horizontally curved concrete box girder bridges are …
Published in Journal of Structural Engineering and Management · Vol. 8, Issue 3, 2021 · pp. 28–38 Read article
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Rivaroxaban: A Comprehensive Review of an Anticoagulant Revolution
Abstract: Rivaroxaban, a prominent direct oral anticoagulant (DOAC), has garnered attention for its pivotal role in preventing and treating thromboembolic diseases. Its introduction into clinical practice has marked a significant advancement in anticoagulant therapy. The mechanism of action of rivaroxaban involves selective inhibition of factor Xa, a crucial component in the coagulation cascade. This targeted approach distinguishes it from traditional anticoagulant and contributes to its efficacy. The significance of rivaroxaban lies …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 10, Issue 3, 2023 · pp. 17–23 Read article
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Sustainable Production of Halal Butter from Mango Kernel Oil: Extraction, Characterization and Functional Evaluation
Abstract: Mango kernel oil (MKO) is a mango processing by-product and is increasingly of interest in food use because of its appropriate fat content. The growing demand of the halal and plant-based alternatives of butter points to the necessity of the sustainable non-dairy sources of fat. Mango kernel oil butter has good physicochemical properties such as a good balance of fatty acids, good oxidative stability, and the right level of moisture, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 12–21 Read article
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3D-QSAR Studies on Protein Phosphatase 2A Inhibitors as Anti-cancer Agents
Abstract: The tremendous efforts by researcher indicates that cantharidin, nor cantharidin and their analogues shows anti-cancer activity due to their inhibition of cancer cell lines such as HT29, SW480, MCF-7, A2780, H460, A431, DU145 and L1210. The anti-cancer activities of cantharidin, nor cantharidin and their analogues involve the inhibition of serine/threonine protein phosphatises (PPs) activity. In this study, three-dimensional quantitative structure activity relationship (3D-QSAR) like comparative molecular field analysis (CoMFA), and …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 3, 2018 · pp. 1–19 Read article
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Muscle Computer Interface for Recovering People
Abstract: The muscle-computer interface (MCI) has emerged as a promising technology for enhancing the recovery process of individuals with paralyzed limbs or disabilities. This paper explores the application of MCI in the context of recovering people and addresses the challenges faced by such individuals. Traditional rehabilitation methods often have limitations in terms of engagement, feedback, and real-time interaction, which hinder the recovery progress. In response to these challenges, the proposed MCI …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 8–15 Read article
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Does an Association Exist Between Maternal Serum Lipid Parameters and Birth Weight of Newborn? A Cross-Sectional Analysis
Abstract: Pregnant woman undergoes profound hormonal, metabolic changes and adaptions to achieve success in terms of healthy baby as outcome. Lipids are more significantly involved as a source of energy, fat-soluble vitamins, and precursors for various hormones. We decided to study pattern of lipid profile parameters at puerperium phase, as an indicative of lipid status of woman in late pregnancy and its influence on birth weight of newborn.Cross-sectional analysis was carried …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 46–51 Read article
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Analysis and Simulation of VLAN Using Cisco Packet Tracer
Abstract: The acronym for Virtual Local Area Network, or Virtual LAN, is VLAN. We build this unique network from one or more pre-existing LANs. In order to provide scalable, dependable, and secure services regardless of location, today's networks must always be accessible from anyplace. Reducing users and workgroups that are separated is the main objective of a network. Each system must have the ability to interact with other systems and transmit …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 2, 2023 · pp. 28–33 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article
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Thermo-Hydraulic Enhancement of Annular Finned Shell-and-Tube Heat Exchangers Using Epoxy-Based Polymer Composites: A Material–Geometry Coupled CFD Investigation
Abstract: Shell-and-tube heat exchangers remain a backbone of industrial thermal systems, yet their performance is often limited by relatively low shell-side heat transfer and the weight and cost associated with conventional metallic components. In this context, the integration of polymer composite materials offers a promising pathway toward lightweight, corrosion-resistant, and performance-tunable heat exchanger designs. The present study investigates the thermo-hydraulic performance of a straight-tube shell-and-tube heat exchanger equipped with annular fins, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 669–684 Read article
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Study of Morbidity Pattern among the Workers of Jute Mill in Eastern Nepal
Abstract: The occupational disease burden is growing exceptionally. In developing and newly industrialized countries, exposure to high levels of chemicals and dusts, hard physical work, heat stress is common. The workers of jute mill are susceptible to various morbid conditions. The concept of Occupational Safety and Health (OSH) in Nepal is in its initial stage. This study was conducted to find out morbidity pattern among workers in the industrial corridor of …
Published in Research and Reviews: A Journal of Medicine · Vol. 1, Issue 1, 2011 Read article