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1872 articles for “FE analysis”
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CHARACTERIZATION, VIRULENCE TESTING AND ANTIFUNGAL SUSCEPTIBILITY PATTERN OF VARIOUS CANDIDA SPECIES AT TERTIARY CARE CENTRE, AMRITSAR
Abstract: IntroductionSerious fungal infections particularly Candida infection have increased in recent years as a consequence of increased immunosuppression associated with HIV infection, organ and tissue transplant and aggressive treatment for malignancies and autoimmune diseases. Present study was conducted to Characterize various Candida species isolated from various clinical samples, their virulence testing by biofilm production and antifungal susceptibility pattern.Settings and Design:A prospective observational study was conducted from September 2014 to June 2016 …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 2, 2019 · pp. 1–5 Read article
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A Multimodal AI-Based System for Real-Time Harassment and Violence Detection Using Surveillance Cameras
Abstract: Public safety in urban settings, as these areas are crowded and experience increasing incidents of harassment, verbal abuse, and physical violence. Traditional CCTV surveillance systems heavily rely on human operators who have to continuously monitor the video feeds, which is inefficient and prone to human error. AI-based harassment and violence detection systems automatically monitor public environments in real-time using video and audio analysis. The system is based on a multilayer …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 8–21 Read article
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Dental Fluorosis – An Underestimated Public Health Challenge; Evidence from Rural Delhi
Abstract: Oral health problems being the most prevalent chronic morbidities, contribute to heavy burden on health care delivery system universally. Although, fluoride has been recognized for the observed decline of caries among children as well as adults, its excessive consumption has put global population at risk of fluorosis. India is among the 23 nations around the globe with reported oral health problems due to excessive fluoride in drinking water. Since there …
Published in Research and Reviews: A Journal of Medicine · Vol. 1, Issue 1, 2011 · pp. 54–62 Read article
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Web Presence of Library Websites/Webpages of NIRF Ranked Central Zone Pharm Institutes of India: An Analysis of Content
Abstract: The current study focused on the Web Presence of library websites that were listed under NIRF-ranked pharm institutes in the Central Zone of India. The checklist was prepared based on previously published literature. Data was collected using content analysis method of respective websites and webpages using online survey and observation techniques. The analysis revealed that the majority of websites are using webpages has library websites, and still nearly fifty percent …
Published in Journal of Advancements in Library Sciences · Vol. 10, Issue 1, 2023 · pp. 7–14 Read article
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Generation of Business Intelligence by Sentimental Analysis through Big Data and Hadoop
Abstract: AbstractOnline networking gives clients a platform to discuss successfully with companions, family, and partners, and gives them a stage to discuss their top pick (and minimum most loved brands). This "unstructured" discussion can provide organizations crucial understanding into how buyers see their image, and enable them to effectively settle on business choices to keep up their horizons. Fast in the volume of conclusion, rich online networking on the web has …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 20–25 Read article
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Design and Analysis of Dual Band Triangular Slotted Microstrip Patch Antenna for GPS and WLAN Application
Abstract: AbstractIn this paper, design of a dual operated microstrip patch antenna is presents. The dual-operation frequencies are chosen for UMTS/GPS and WLAN bands. A microstrip square patch antenna is designed which is excited by a microstrip line feed from the bottom of the antenna. An epoxy glass FR4 material is used as a substrate in the designing of antenna. The antenna is first modified in inverted U-shaped design to operate …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 2, 2019 · pp. 1–5 Read article
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Analysis of C45 Steel Machining with Differentiated Tool Bits
Abstract: The tool material may be coated or uncoated, and cutting inserts are typically situated along the covered contact region. Work piece remains fixed while tool revolves for cutting and machining. Objective: A NABL-accredited metallurgical evaluation laboratory (machining) assessed two specimens. Machining profile and materials determine insert selection. Analytical results show material composition. The surface qualities of samples 1 and 2 were examined. As DOC, cutting speed and tool tip temperature …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 244–252 Read article
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Computational Investigation of nsSNPs of PRSS1 Gene
Abstract: This research is done for the prioritizing of SNPs of a gene PRSS1 causing hereditary pancreatitis. In this analysis, the authors found out some nsSNPs as less stable, deleterious, probably damaging retain high risk score. It was also predicted that SIFT is fast SNPs server with comparison of PolyPhen2. By Doing its energy calculation and stability prediction, we can also determine the stability of mutant protein, that is ok whether …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 1, Issue 1, 2014 · pp. 15–22 Read article
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Mechanical Characterization and Machinability Optimization of Stir-Cast Al6061–SiC Metal Matrix Composites
Abstract: This study presents the fabrication, mechanical characterization, metallurgical analysis, and machinability optimization of Aluminum 6061 reinforced with Silicon Carbide (SiC) metal matrix composites (MMCs) at three weight fractions: 5%, 7.5%, and 10%. Composites were manufactured using the stir casting technique, followed by comprehensive mechanical testing (tensile, hardness, and impact), optical microscopy, and scanning electron microscopy (SEM). Machinability was assessed through turning experiments on a lathe using an L9 Taguchi orthogonal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 833–848 Read article
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Structural Performance Evaluation of Circular Perforated Plates under Mechanical Loading
Abstract: Circular perforated plates are structurally critical components in aerospace, automotive, and marine sectors, where perforation-induced stress concentrations govern failure under mechanical loading. This study conducts a systematic finite element analysis of stress distribution, deformation, and interlaminar behavior in aluminum and glass-epoxy laminates ([−45/45/90/0]S and [−45/45/90/0]AS) under uniform transverse pressure with clamped-free boundary conditions. Four perforation configurations—no hole, central hole, single-series, and 25-hole grid—were evaluated using ANSYS Shell-181, verified against Kirchhoff–Love, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 1–20 Read article
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Evaluation of Different Movement Models and Routing Protocols in VANET
Abstract: Understanding the mobility characteristics is important for designing and analyzing of routing schemes for VANET (Vehicular ad hoc Network). It’s also important for the VANET, where node movement is used for message transmission. Movement is an important task in VANET due to the uncertain mobility and intermittent behavior of the nodes. Most of the research work in VANETs has been done in the area of routing and forwarding. In this …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 1, 2016 · pp. 37–40 Read article
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Detection of Breast Cancer with Python
Abstract: Global cancer data confirms more than 2 million women diagnosed with breast cancer each year reflecting majority of new cancer cases and related deaths, making it significant public health concern. But fortunately, it is also the curable cancer in its early stage. Early diagnosis of breast cancer with timely and effective treatment services improves the prognosis and survival of patients. During classifying tumors, there are significant chances of error and …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 3, 2020 · pp. 5–22 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Smart Attendance Management System: Design and Implementation
Abstract: The Smart Attendance Management System (SAMS) is an all-in-one, role-specific digital platform created to transform how educational institutions manage both attendance and academic content. Designed with modern technological standards, SAMS simplifies and streamlines the tracking of student attendance while also facilitating effective course administration. The system supports a wide range of features such as automatic attendance recording, detailed reports for individual subjects, and consolidated overviews of overall class attendance. In …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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Enhanced Sunlight Intensity Measurement with Solar Tracking System
Abstract: Sunlight intensity measurement plays a crucial role in various applications, particularly in the context of solar energy utilization. However, traditional static acquisition devices often fail to provide precise measurements throughout the entire daylight period. This limitation necessitates the development of more advanced methodologies for accurate sunlight intensity assessment. In this studynn, we propose a novel approach utilizing a solar tracking system integrated with a measurement device to achieve precise sunlight …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 1, 2024 · pp. 8–15 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Analysis of DIBL Effect in MOSFET Working
Abstract: AbstractOne of the most widely used electronic devices, particularly in digital integrated circuits, is the metal insulator semiconductor (MIS) transistor. Most of the existing transistors used in fabrication of integrated chips are with junctions. The device scaling is growing the channel length between junctions in devices are scaling gone down to 10 nm. Drain Induced Barrier Lowering (DIBL) effect is prominent as the feature size of MOS device keep diminishing. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 3, 2018 · pp. 33–40 Read article
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Strategic Integration of Machine Learning in Polymer Composite Development: A Framework for R&D Portfolio Management and Technological Adoption
Abstract: The progress of advanced polymer composites is slow, costly and unpredictable due to traditional methods of trial-and-error research. As materials informatics and data-driven modeling speed up the process of discovering technology, there exists a huge disconnect between computational predictions on one hand and strategic decision-making on the other in research and development (R&D). To solve this issue, this paper presents the Agile Materials-Intelligence (AMI) Framework, a systematic combined methodology that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1272–2286 Read article