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1330 articles for “FE analysis”
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Introducing New Operating Systems for Computer
Abstract: This study introduces new operating systems (OS) designed to meet the evolving demands of modern computing environments. As technology progresses, the limitations of traditional operating systems in terms of efficiency, security, and scalability have become evident. The proposed new OS models aim to address these challenges by incorporating advanced features such as optimized resource management, enhanced security protocols, and improved user interfaces. Additionally, these systems leverage emerging technologies like artificial …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 37–47 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Designing an Educational Mentoring Model in Line with the Professional Development of Female Primary School Teachers with a Fuzzy Logic Approach
Abstract: The teacher is one of the most important elements known to have a close relationship with students and develop their various talents. If a teacher steps into the education scene with a new, creative and well-equipped attitude, he will naturally deliver capable, creative and new-thinking students to face life wisely and solve the problems of the human world. Therefore, the main goal of this research is to design an educational …
Published in International Journal of Education Sciences · Vol. 1, Issue 1, 2024 · pp. 35–50 Read article
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Investigating the Occurrence and Damage of Wild Pig (Sus scrofa) in Cassava Ecosystems of Kerala
Abstract: The study investigates the occurrence and impact of wild pigs on cassava crops in selected locations of Thrissur and Palakkad districts of Kerala, spanning from July 2022 to May 2023. Data were collected from 10 sites, where each 1-acre field was divided into 5 quadrants for monitoring. The presence of wild pigs was tracked weekly through pug marks, infrared cameras, and farmer reports, while the extent of cassava plant damage …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 16–20 Read article
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Image Enhancement Techniques for Digital Images
Abstract: In image processing, image enhancement is a challenging problem. Image enhancement aims to process an image in a way that makes the final product better suited for a particular application than the original. There are numerous ways to improve the quality of images using digital image enhancement techniques. It is crucial to use these techniques correctly. Image enhancement is a critical aspect of image processing, focusing on improving the visual …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 14–18 Read article
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Selection of Ionic Liquids for the Design of Separation Processes of CO₂ + H₂S Mixed Waste Gases with Different Compositions
Abstract: The waste gas from chemical plants contains H 2 S gas and a large amount of CO 2 gas. These flue gases can be treated in various ways, and in this paper, the mixed flue gas CO 2 +H 2 S was treated by using ionic liquids (IL) as an absorbent. Ionic liquids are considered green solvents with remarkable good properties. In particular, it is known as a very effective …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 3, 2025 · pp. 44–58 Read article
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Analysis of Infilled Wall Frame for Evaluation of Multiplication Factor
Abstract: Masonry infilled reinforced concrete (RC) frames are the most common type of structures which is used for multi-storeyed constructions in the developing countries like India, even those theseare located in seismically active regions. Masonry infill walls are frequently used as interior and exterior wall in reinforced concrete (RC)buildings. Infill wall protects the internal of the buildings from the environment hazards. Masonry infills are normally considered as non-structural elements and their …
Published in Journal of Structural Engineering and Management · Vol. 3, Issue 3, 2016 · pp. 31–36 Read article
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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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Investigating the Dietary Flexibility and Feeding Behavior of Clarias anguillaris and Auchenoglanis biscutatus in a Tropical River Ecosystem
Abstract: Studies on food and feeding habits of fishes are required to guide the selection of fish species for culture. The current study determined the food and feeding habits of Clarias anguillaris and Auchenoglanis biscutatus in the Lower River Benue at Makurdi, Nigeria. Fish samples were collected biweekly from local fishermen at the Wadata landing site who fished with different gears like gillnets, cast nets, hook and line, traps and lift …
Published in International Journal of Marine Life · Vol. 2, Issue 1, 2025 · pp. 1–9 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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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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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Growth of Individual House Builders (IHB) in Raigad Districts
Abstract: The study delves into the dynamic landscape of individual house builders (IHBs) in Raigad district, exploring the substantial growth within the real estate industry and its related sectors. The emphasis is on residential structures, ranging from bungalows to row houses and small individual buildings, designed to accommodate diverse family structures. This surge in construction activities is attributed to factors such as the abundant availability of land, improved connectivity, burgeoning employment …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 2, 2023 · pp. 15–23 Read article
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Deep Analysis of the Banknote Identification and Counterfeit Detection
Abstract: The production of counterfeit paper currencies has become cheaper due to advancements in printing technologies and graphic design. The circulation of fake currencies negatively impacts a country’s economy. This paper aims to develop an intelligent system for detecting and categorizing counterfeit currencies, which also plays a significant role in the field of human–computer interaction (HCI). The paper delves into the history of counterfeit currencies and the development of techniques used …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 13–17 Read article