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1906 articles for “FE analysis”
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Bibliometric Analysis of Open Access Journals in Mathematics Indexed in DOAJ Database
Abstract: Abstract The article reports the findings of bibliometric analysis of open access journals available in the subject of ‘Mathematics’ indexed in directory of open access journals (DOAJ). The bibliometric attributes used are; journals with subject heading ‘mathematics’, country of publication, language used in journals, publisher of journals, co-relation of mathematical journals with other subject fields, peer review policy, archiving policy, security and standard features followed by journals. Total 556 journals …
Published in Journal of Advancements in Library Sciences · Vol. 3, Issue 2, 2016 · pp. 50–88 Read article
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Hybrid Feature Selection Approach for Stability Prediction for Intracerebral Hemorrhage Patients
Abstract: Intra Cerebral Hemorrhage (ICH) stability estimation is useful for enhancing diagnosis accuracy, selecting the best course of treatment, and clinically evaluating variations with healthy individuals. Due to their low predictive value, the clinical application of several ICH progression scoring systems is constrained. The dataset includes clinical parameters including age, Glasgow Coma Scale (GCS), and CT Angiography (CTA) spot that have been retrieved using geometric features from the segmented bleeding volume …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 9–17 Read article
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Lipid Profile Analysis in Type 2 Diabetes Mellitus Patients Belonging to Kota South
Abstract: Background: Diabetes mellitus is a category of metabolic disorders marked by persistently high blood sugar levels and abnormalities in the metabolism of fats, proteins, and carbohydrates as a result of deficiencies in the secretion or action of insulin, or both. Diabetic dyslipidemia is characterized by elevated low-density lipoprotein cholesterol (LDL-C), reduced high-density lipoprotein cholesterol (HDL-C), and increased triglyceride (TG) levels. The objective of this study is to assess the lipid …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 2, 2023 · pp. 38–41 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum–Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 19–35 Read article
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Potentials and Development of The Livestock Industry In Bole District
Abstract: Livestock production in the Bole District could be enhanced to supply the whole nation if the prospects and challenges are identified and addressed. It is carried out under extensive, semi-intensive and intensive systems. However, the extensive system is the most practiced, especially in the rural communities. This study tried to understand the possibility of expansion of the livestock industry in the district. The study employed location-specific assessment of the potentials …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 1, 2024 · pp. 35–48 Read article
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Current Perspectives of Prader -Willi Syndrome: A Multisystem Approach
Abstract: Prader-Willi syndrome (PWS) is a genetic disorder with multisystem involvement, caused by the lack of expression of genes on the paternally inherited chromosome 15q11.2-q13 region from paternal 15q11-q13 deletions (about 60%) or maternal uniparental disomy 15 or both. It is a complex and contiguous gene disorder which affects the multiple systems with many clinical presentations especially hypothalamic insufficiency. The clinical features are characterized by short stature position, developmental delay, cognitive …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 42–48 Read article
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An Experimental Study on Multi-Criteria Parameters Optimization of Process for Al6351/SiC/Gr Metal Matrix Composites Using AHP-TOPSIS Approach
Abstract: This research focuses on optimizing the process parameters of Wire Electrical Discharge Machining (WEDM) for a hybrid Metal Matrix Composite (MMC) comprising Al6351 aluminum alloy reinforced with 4% SiC and 6% graphite (Gr), fabricated via squeeze casting. This technique enables the formation of dense, defect-free composites with uniform reinforcement distribution, enhancing both mechanical properties and structural integrity. Microstructural characterization using Scanning Electron Microscopy (SEM) confirmed the even dispersion and bonding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 303–319 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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Adaptive Task Scheduling and Resource Optimization Using AI Middleware
Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, specialized schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that can learn, forecast, and react to the actual real-world conditions in the system. Artificial intelligence middleware is also an attractive solution to this …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 23–31 Read article
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Extraction of speech Emotion Features Using MLP Classifier
Abstract: Speech Emotion Recognition is a thriving research topic. Speech emotion recognition use MLP classifier to categorize the emotions from the speech. This Speech is also used as the medium, through which one can express their feelings and mind state in human to machine interaction. The case is very easy where two humans communicate along with their emotions as by nature, they can recognize each other’s emotions. But for computer, if …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 11–19 Read article
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Challenges & Issues in Natural Gas Distribution Industry
Abstract: Natural Gas Distribution or City Gas Distribution (CGD) in India is at a nascent stage. Before the establishment of Petroleum and Natural Gas Regulatory Board (PNGRB), the sector was unstructured and direction-less at times. With the formation of PNGRB, the safety practices of CGD business were looked into and guidelines were framed. However, the initial legal disputes within PNGRB retarded the growth. The first three bidding rounds in the sector …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 1–8 Read article
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A Practical Iterative Side Channel Cube Attack on AES-128/256
Abstract: AbstractThe Side Channel Cube Attack (SCCA) is a kind of Algebraic Side Channel Attack(ASCA) consisting of theoretical and practical aspects. This paper presents a general framework for the SCCA (called an Iterative SCCA (ISCCA)) on block ciphers in which theoretical and practical aspects are explained and the requirements are listed. On the theoretical side, we use extraction of quadratic equations, recognition of iterated chosen plaintexts, and cube iteration to improve …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 31–45 Read article
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Impact of Sol–Gel Processing on Dielectric and Energy Storage Properties of BaTiO3 Nanoceramics
Abstract: Barium titanate (BaTiO3) is a widely studied ferroelectric material because of its high dielectric permittivity and strong potential for electrostatic energy storage applications. In this study, BaTiO3 nanoceramics were synthesized using a controlled sol–gel processing route to investigate the influence of synthesis conditions on their dielectric relaxation and energy storage performance. The synthesized powders were calcined and subsequently sintered at temperatures ranging from 1100°C to 1300°C. Structural analysis using X-ray …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 11–25 Read article
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Performance Analysis of Induction Motor using DTC Technique
Abstract: AbstractDirect Torque Control is a control method used for high-performance torque control in AC drive systems. The standard DTC drive includes a couple of hysteresis comparators, a flux and torque estimator and a selection table for voltage vectors. Torque and flux are governed simultaneously by implementing appropriate voltage vectors, and de-coupling control of torque and flux can be accomplished by restricting these amounts within their hysteresis bands. The DTC requires …
Published in Journal of Instrumentation Technology & Innovations · Vol. 9, Issue 2, 2019 · pp. 11–18 Read article
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A Novel WPFM-Transformer Framework for DNA Sequence Classification using FASTA Data
Abstract: The identification of genetic variants, tracing of disease-associated mutations, and the reconstruction of evolutionary relationships from raw sequence data are all achieved by the analysis of DNA sequence. The FASTA format is plain text and is an easy-to-read format, which is why it has endured four decades of the field's growth into bioinformatics. Classical alignment programs like BLAST and Smith-Waterman work well with small data sets, but are limited by …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Human Skin Abnormality Detection with Process Similarity Criteria Fit Machine Learning Method
Abstract: This method presents a machine learning method that satisfies the defined conditions for healthy waterside beach activities. The boundary conditions of the normal and abnormal radiation spaces were formulated. The objectives of using a Regression Polynomial with Process Similarity Criteria Fit for skin temperature prediction are justified by the analysis of the existing analytical and machine learning approaches. An algorithm for skin temperature prediction using the theories of similarity criteria …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article
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A New Design and CFD Analysis of UAV for Military and Other Applications
Abstract: The new era of unmanned aerial vehicles (UAV) started long back. The purpose of this project was to make a new innovative approach to the designing of UAVs for better use in the field of surveillance and commercial photography and videography. The UAV was designed in such a way that holds the camera connected to a wireless transmission system, this feeds the live information to the ground station. This UAV …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 181–187 Read article
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Enhancing Workplace Safety through Behaviour-Based Safety (BBS): A Case Study and Experimental Analysis
Abstract: Behavior-Based Safety (BBS) is a method designed to enhance workplace safety by concentrating on the actions and behaviors of workers. It works by encouraging a proactive safety culture where everyone is actively engaged in preventing accidents. This article explores the principles of BBS, describes an experimental case study conducted at a manufacturing facility, and presents the outcomes and implications. The case study used Behavioural observation, feedback, and training as interventions …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 25–28 Read article
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Toxicological Optimization and Assessment of Buccal Films Containing Felodipine Co-crystals to Enhance Bioavailability
Abstract: The preformulation study of felodipine was carried out and it was found that the drug is poorly water soluble. The co-crystals were prepared using three different co-formers sorbitol, ascorbic acid and oxalic acid. The solublity enhancement was observed in combination with sorbitol compared to other co-formers used. The characterization of co crystals was performed like PXRD, FTIR, SEM Analysis. XRD results indicates the amorphous form of the drug. The co-crystals …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 2, 2024 · pp. 10–29 Read article
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Arduino Empowered: Smart Glove Review and Analysis
Abstract: In recent years, there has been a growing interest in wearable technology, particularly in the realm of human-computer interaction (HCI). Smart gloves, equipped with various sensors and actuators, have emerged as a promising interface for facilitating seamless interaction between humans and digital devices. This paper presents the development of Arduino-based smart gloves designed to augment conventional HCI methods by incorporating gesture recognition and tactile feedback capabilities. The smart gloves feature …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 1, 2024 Read article