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1854 articles for “AC Analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Investigation of Mechanical Properties in Ductile Iron with Alloyed and Unalloyed at Time and Temperature on Austempering
Abstract: Due to the combination of its numerous excellent mechanical qualities, the flexible iron has been used more and more since its invention in 1948. To develop significantly improved characteristics, the unnecessary investigation is being done. The most recent development in the field of flexible iron, or SG iron, is Austempererd malleable iron. At four different temperatures, two different types of spheroidal graphite (SG) cast iron samples with varying copper weight …
Published in Journal of Polymer & Composites · Vol. 11, Issue 9, 2023 · pp. 1–9 Read article
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Design of Secure Biometric-Based Access Mechanism for Cloud Services
Abstract: In our data-driven society, the demand for remote information storage and computation services is increasing exponentially, as is the need for secure access to such information and services. during this project, we have a tendency to style a replacement biometric-based authentication protocol to produce secure access to an overseas (cloud) server. Within the planned approach, we have a tendency to think about biometric information of a user as a secret …
Published in Journal of Experimental & Applied Mechanics · Vol. 13, Issue 1, 2022 · pp. 28–34 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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2D QSAR Studies on Some Novel 17a-aza-D-Homo Steroids as 5α-Reductase Inhibitors
Abstract: The major circulating hormone dihydrotestosterone (DHT) is responsible for the development and progression of benign prostate hyperplasia (BPH). Dihydrotestosterone (DHT) is by produced by NADPH dependent reduction of testosterone (T) under the catalytic effect of the enzyme 5α-reductase (5 alpha R). Inhibition of 5α-reductase enzyme is the novel approach for treatment of BPH. Present work describes relationship between the 5α-reductase inhibitory activity for structurally related amides and esters of 17a-Aza-D-Homo-17-one …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 3, Issue 2, 2016 · pp. 1–14 Read article
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Exploring Adaptive Acoustics for Educational Spaces
Abstract: Acoustics play a major role in educational buildings as these have high density, occupying classrooms, lecture halls, conference rooms, auditoriums, etc., engaged by students for several activities. Due to their multi-functional nature, architectural studios in particular require larger spaces and these often accommodate furnishing such as drafting board/table, screens and podium. The considerable volume of these studios can lead to compromised acoustical comfort, which may result in issues like echoes …
Published in International Journal of Architectural Design and Planning · Vol. 2, Issue 2, 2024 · pp. 18–37 Read article
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Vulnerability Assessment for Identification of Vulnerable Reaches for Flood, Riverbank Erosion, and Landslide in Himachal Pradesh, India
Abstract: Himachal Pradesh state is very vulnerable to flash floods, landslides, and riverbank erosion. Efforts have been made to develop a tool that can predict these disasters before the event, so that the authorities can take the protection measures. A web-enable vulnerability assessment tool has been developed for identification of vulnerable reaches for flood, riverbank erosion, and landslide in Himachal Pradesh. Historical excessive rainfall events, flash floods events and its causes, …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 1, 2023 · pp. 46–61 Read article
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Root cause ananlysis of cost overrun in interior projects
Abstract: The construction industry is a path through which development of urban and rural India happens. The development of the project happens. The construction industry and its parties are associated with high degree of risk due to the nature of construction business activities, processes, environment and organization: Cost overrun is one of the most important problems in the construction one of the major problems faced by the construction industry is the …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 1, 2024 · pp. 11–21 Read article
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Preparation and Characterisation of Activated Carbon from Rice Husk and its Polyvinylpyrrolidone (PVP) Composite for Heavy Metal Removal from Simulated Wastewater
Abstract: AbstractRemoval of heavy metals from industrial wastewater is of importance due to rapid increase in global industrial activities. This investigation deals with the preparation of adsorbentactivated carbon from agricultural waste material such as coconut shell, orange peel, ricehusk, peanut husk and sawdust to remove heavy metals from wastewater. The abundance and availability of rice husk, an agricultural waste, make them as a good source for precursor of activated carbon. Hence, …
Published in Journal of Water Pollution & Purification Research · Vol. 4, Issue 3, 2017 · pp. 10–15 Read article
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ECO Report Analys Achieving SDG 15
Abstract: This project creates automated data processing tool Eco Data Analyser for ecological data analysis for SDG 15: Life on Land conservation and biodiversity. File_picker, Excel, and CSV are used in the Flutter and Dart based cross-platform solution to assist environmental organizations in handling ecological data. Uploading ecological datasets, verifying data, classifying biodiversity indicators, and producing summary reports helps Eco Data Analyser to make conservation data accessible and valuable. User-defined parameters …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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Finite Element Analysis (FEA) Based Design of a Brake Master Cylinder with Varied Materials
Abstract: This research article deals with the Finite Element Analysis (FEA) based design of the brake master cylinder of different materials. The brake master cylinder is considered as the most significant component in almost all passenger cars equipped with a hydraulic braking system. The brake master cylinder came under the control and safety category components and is popularly considered to be the heart of the braking system. It must be designed …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 2, 2023 · pp. 1–16 Read article
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Quality Appraisal for the Ornamental Bird, Fish, Dog, and Cat Foods Available in Bangladesh
Abstract: The study aimed to assess if the chemical composition of different avian, aquatic, dog, and cat foods commonly available in Chattogram, Bangladesh adheres to the recommended standards. Food samples were collected and subjected to proximate analysis for the dry matter (DM), crude protein (CP), crude fibre (CF), ether extract (EE), nitrogen free extract (NFE), and total ash (TA). The plant seeds used for ornamental birds exhibited substantial variability in terms …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 10, Issue 4, 2021 · pp. 23–34 Read article
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Controlling Media Player Through Hand Gesture Recognition System Using CNN and RNN Models
Abstract: Artificial intelligence markup language (AIML) project represents a pioneering endeavor in the realm of media player control through hand gesture recognition, merging advanced technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN). By harnessing the image analysis capabilities of CNN, our system ensures accurate, real-time detection, and interpretation of intricate hand gestures, enabling users to interact with their media content naturally and seamlessly. What sets our project apart …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 29–34 Read article
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Facial Biometrics for Attendance System
Abstract: This paper discusses the necessity for effective student attendance management systems by proposing a smart attendance management system utilizing biometric technology. It is well recognised that manually recording attendance is time-consuming and error prone. In this study, we propose a Facial Biometrics attendance system that automates attendance process without requiring human intervention. The system consists of a camera placed in the classroom to take pictures of the pupils. Subsequently, the …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 36–44 Read article
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Clinical study of ERAS programs for chronic anal diseases
Abstract: Background: ERAS protocols were implemented for the management of chronic anal diseases in our clinical setting.Patients and Methods: The clinical outcomes of these ERAS programs were systematically analyzed.Results: Our study revealed significant improvements with the implemented ERAS protocols. Specifically, the average time for healing with these protocols was 7.9±0.76 days, notably shorter compared to the previous standard protocols which averaged 14.3±0.4 days. Moreover, there was a marked reduction in postoperative …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 39–43 Read article
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Optimisation of Biodiesel synthesis process from various edible oils using KOH and NaOH as homogeneous catalysts
Abstract: In the present experimental study, an optimization of biodiesel production from different kinds of edible oils (Palm oil, Cotton-seed oil and Sunflower oil) using KOH & NaOH as homogenous catalyst has been investigated by one step transesterification method. The research study was conducted into two parts. In the first experimental study, different types of edible oils (Sunflower oil, Cottonseed oil and Palm oil) have been optimised using KOH and NaOH …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 69–77 Read article
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Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
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Sustainable Oral Care: Analyzing the Environmental Impact of Replaceable Toothbrush Bristles
Abstract: The global rise in plastic waste has highlighted the urgent need for sustainable practices in everyday consumer products, including oral care. This study investigates the environmental impact of replaceable toothbrush bristles as an alternative to fully disposable toothbrushes. By adopting a life cycle assessment (LCA) approach, we compare the material usage, production energy, and waste generation of traditional toothbrushes with modular designs featuring reusable handles and replaceable bristle heads. The …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 2, 2024 · pp. 45–56 Read article
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article
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Phase – Field Modeling of Brittle and Ductile Fracture Under Complex Loading Conditions
Abstract: Phase-field modeling has emerged as a powerful computational framework for predicting fracture behavior in engineering materials, offering a unified description of crack initiation, propagation, branching, and coalescence without the need for explicit crack tracking. This study presents an in-depth examination of phase-field modeling applied to both brittle and ductile fracture under complex loading conditions, including multiaxial stress states, cyclic loading, thermal gradients, and dynamic impact. The phase-field approach regularizes the …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 13–18 Read article