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1331 articles for “FE analysis”
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Analysis of Surface Roughness and Material Removal Rate in Engine Valve Turning Operation of Material SUH3
Abstract: The purpose of this paper is to present an experimental work attempting to optimize the influencingprocess parameters involved in dry machining of the exhaust engine valve of material martensiticstainless steel grade SUH3. Looking at available literature it is observed that a lot of work can be donein the field dry machining related to surface integrity but no work can be reported on investigationimplementation of dry machining in engine valve manufacturing …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 17–22 Read article
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Is tibial expert nailing biomechanically more stable compared to intramedullary nailing for tibial fractures?
Abstract: Background: Fractures of the tibia and fibula are relatively common and have been recognized as serious and debilitating injuries, because its surface is subcutaneous throughout most of its length, open fractures are more common in the tibia than in any other major long bones. To avoid complications of operative treatment in association with these characteristics of the tibia, intramedullary nailing has been widely introduced for the tibial diaphyseal fractures, and …
Published in Research and Reviews: A Journal of Medicine · Vol. 13, Issue 2, 2023 · pp. 27–50 Read article
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Synthesis and Characterization of a Naphthalene-Derived Schiff Base for Fe³⁺ Sensing Applications
Abstract: The development of chemosensors for metal ions has gained significant attention due to their crucial role in industrial, environmental, and biological applications. Metal ion detection is essential for monitoring environmental pollution, industrial processes, and biological systems where metal homeostasis plays a vital role. In this study, we focus on the synthesis, characterization, and application of a novel naphthalene-based Schiff base ligand, derived from the condensation reaction between 1,8-diaminonaphthalene and 3-nitrobenzaldehyde. …
Published in International Journal of Cheminformatics · Vol. 2, Issue 2, 2024 · pp. 1–8 Read article
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Comparative Analysis Between Librosa and OpenSMILE
Abstract: This research work focuses on comparative study of Librosa, a python-based library, and openSMILE, a C++ toolkit, with python bindings used in audio speech analysis. Librosa is ideal for beginners due to its simple structure and flexibility with strong integration with machine learning frameworks like TensorFlow and PyTorch. On the other hand, OpenSMILE is ideal for speech-centric tasks like speech-emotion recognition or paralinguistic studies, offering a wide range of pre-defined …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 06–10 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article
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Advancing EEG Technology for Affordable and Effective Epilepsy Detection
Abstract: For a proper diagnosis and prompt treatment, epilepsy, a neurological condition marked by recurring seizures, needs to be continuously monitored. Manual interpretation is frequently used in traditional approaches for identifying epileptic seizures from electroencephalogram (EEG) signals, which can be laborious and error-prone. In this research, a novel method for automatically detecting epilepsy from EEG data using deep learning algorithms is presented. According to centers for disease control and prevention (CDC) …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article
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AI-Driven Handwriting Identification and Verification Using Textural Features
Abstract: The last few decades have seen handwriting recognition and verification earn their mark in areas like forensics, healthcare, education, and digital security. This study delves into the role of artificial intelligence (AI), machine learning (ML), and deep learning techniques in handwriting analysis. It highlights the extraction of textural features as a precursor to identifying narrows between original handwriting and its forgery, whereby a few distinctive patterns such as stroke width, …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 35–44 Read article
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Techno-Economic Analysis of Fixed and Single Axis Tracking Systems Using NPV and IRR Methods
Abstract: A low power, low cost, high utility value photovoltaic power generating system has been designed and developed with an intention of catering to the needs of the rural population located in far flung villages or hilly regions where electricity supply is either unavailable or is erratic. The proposed solar photovoltaic system has been subjected to rigorous performance evaluation using the four widely used performance metrics namely, Energy Gain, Panel Efficiency, …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 3, 2020 · pp. 34–45 Read article
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Effect of Wind on Multistoried Structure for Irregular Plan with Optimum Shear Wall Location using E-TAB Software
Abstract: For multistory structure, the challenge is to make it feasible in terms of lateral loads due to wind and earthquake, which prominently dominate the structure. This study chronicles the stages of ongoing research initiative to study several high-rise buildings of irregular shapes under action of wind with and without shear wall and its optimum location in the structure. Multi-storey irregular buildings of irregular plans like h-shape, J-shape of RCC framed …
Published in Journal of Structural Engineering and Management · Vol. 4, Issue 1, 2017 · pp. 1–6 Read article
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The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis
Abstract: In today’s fast-paced world, young adults face increasing cognitive demands and heightened stress levels due to academic, professional, and social pressures. At the same time, modern lifestyles have ledto a decline in meaningful interactions with nature, which may impact both cognitive function and stressmanagement. The present study, entitled "The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis," aimed to explore the effects of nature connectedness …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 1–9 Read article
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Zoology in Forensic Science: Unraveling Mysteries through Animal Clues
Abstract: Traditionally, forensic wisdom has been grounded on mortal substantiation similar as fingerprints, DNA, and bloodstains to unravel the riddle of crimes. There's important untapped eventuality in the beast area that could unravel mystifications and bring culprits to justice. This composition explores the instigative area of crossroad of zoology and forensic wisdom by demonstrating how suggestions from creatures can be significantly contributed to felonious examinations. From beast poisons in analysis to …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 37–49 Read article
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LBP-HOG-Statistical-Wavelet Transform Feature Based MCA Classifier
Abstract: Face recognition systems use computer algorithms choose specific, recognizable features on a person’s face. With a mathematical representation, the information is compared to data on other faces acquired in a face recognition database. The distance between the eyes or the shape of the chin are two examples of these characteristics. The job of matching several facial modes, such as visible and near infrared images, is known as heterogeneous face recognition. …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 19–30 Read article
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Neuromyelitis Optica Disorders: A Retrospective Observational Study: Experience of Tertiary Hospital in Central India
Abstract: Background: NMOSD is a wide spectrum primary demyelinating syndrome of nervous system with varied clinical, serology and radiologic features. Objectives: We aim to study the vividness of clinical, serological and associated radiologic features of this disorder through retrospective analysis of the patients’ parameters presented to Neurology unit of AIIMS, Bhopal. Methods: It is a retrospective observational study from July 2020 till July 2022 in neurology. Results: 36 patients were assessed; …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 61–68 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Thermal Behavior and Insulation Strategies for Li-FeS₂ Thermal Batteries: An ANSYS Simulation Study
Abstract: Thermal batteries are special electrochemical systems in which a great amount of energy is delivered during a relatively short period of time. The holding time of the thermal battery's working temperature and cell temperature define its discharge life. Thermal batteries have their advantages comparing other type of batteries, so they are used for several purposes including military field. Thermal batteries usually operate in the internal temperature range of 400 to …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 45–52 Read article
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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Tuberculosis Treatment Outcomes among TB Patients at FenoteSelam District Hospital, West Gojjam Zone, Amhara, Northwest Ethiopia
Abstract: Introduction: Tuberculosis is a major public health problem throughout the world. One third of the world’s population is estimated to be infected with bacilli and hence at risk of developing active disease. It is the second leading cause of death from an infectious disease worldwide after HIV, which caused an estimated 1.8 million deaths. The main reason for this is the high rate of death as an unsuccessful outcome. Incomplete …
Published in Research and Reviews: A Journal of Medicine · Vol. 6, Issue 3, 2016 · pp. 1–8 Read article
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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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Buckling Assessment of Concrete Column, RCC Column and Concrete Column Strengthened by CFRP with Different Slenderness Ratio.
Abstract: Using finite element modeling, this study presents a buckling analysis and total deformation assessment of a concrete column, a column made of reinforced cement concrete (RCC), and a concrete column enhanced with Carbon Fiber-reinforced Polymer (CFRP) laminates (FEM). Utilizing the ansys18.1 software, a comprehensive analysis is carried out for columns that have a variety of slenderness ratios to arrive at a more accurate performance estimation. Because they can support the …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. S11–S22 Read article
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Fuzzy Variable Frame Analysis for Speech Recognition
Abstract: AbstractRecent works in machine learning has focused on models such as support vector machine (SVM), artificial neural network (ANN) and long short-term memory (LSTM), for automatically controlling the generalization and parameterization of the optimization process. This paper presents a fuzzy interpretation frame analysis procedure using LSTM classifier for noisy speech at word level using thresholding and local maxima procedure at framing level for the recognition process. Front end MFCC procedure …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 9–18 Read article