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1330 articles for “FE analysis”
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Microalgae: Promising Sources of Biofuels
Abstract: Single-celled photosynthetic organisms known as microalgae have drawn a lot of interest as a potential source for the synthesis of biofuel. These microscopic organisms are able to effectively convert sunlight and carbon dioxide into biomass that is high in proteins, carbs, and lipids. Microalgae makes up to 19% starch concentration providing an eco-friendly and sustainable way to satisfy the growing need for renewable energy sources.Although they can be made from …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 3, 2024 · pp. 1–12 Read article
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RP-HPLC method for simultaneous determination of Drospirenone and Ethinylestradiol in Bulk and their Pharmaceutical dosage form
Abstract: Oral contraceptive is used to prevent the pregnancy which is contain hormones to block the release of eggs from the ovaries. Most of them contain estrogen and progesterone. Nowadays, usage of hormonal contraceptive is sharply enhancing; around 100 million of women worldwide are taking these drugs. With this drug fertility rate can be supressed as long as they want or plan their activity along with these drugs provide efficacy, reliability, …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 46–67 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Multifunctional and Photocatalytic Properties of DyFeO₃/Dy₃Fe₅O₁₂ Biphasic Nanoparticles
Abstract: Rare-earth orthoferrites constitute a class of compounds that exhibit remarkable magnetic, optical, and electronic properties across a wide temperature range. In the present study, a dysprosium-based orthoferrite containing dual phases of DyFeO₃ perovskite and Dy₃Fe₅O₁₂ garnet was successfully synthesized via the co-precipitation technique. X-ray diffraction (XRD) analysis was employed to investigate the structural configuration of the synthesized material. The diffraction pattern confirmed the formation of a biphasic composite comprising orthorhombic …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 41–54 Read article
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Skin Disease prediction and classification from dermoscopy images using Neural Network
Abstract: Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions. Delayed or incorrect diagnosis of skin disorders can lead to severe complications, making early and accurate detection extremely important for effective treatment and prevention. In recent years, rapid advancements in deep learning and neural network technologies have significantly contributed to the development of automated medical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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A Comprehensive Review on IoT and Edge Computing in Electronics: Trends, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) transformed the electronics industry by enabling ubiquitous connectivity between billions of devices. This has created an unprecedented amount of data, challenging traditional cloud-based architectures with latency, bandwidth, and security issues. Edge computing came as an additive architecture by distributing computation and bringing intelligence to IoT edges to provide real-time responsiveness and reduce dependence on centralized infrastructure. This study offers a thorough analysis of current developments …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 1–9 Read article
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Surface Modified Abaca Fibers: Physico-Mechanical, Morphological and Degradation Properties Evaluation
Abstract: Lignocellulosic fibers are used as cost-cutting fillers in plastics factories. Amid several factors, the ultimate performance of composite ingredients depends on the bond between the matrix resin and the filler, and hence on the quality of the interface. To acquire optimal performance of the end product, adequate interaction between the matrix and the lignocellulosic ingredient is preferred. This is often acquired through surface modification of the matrix or filler. Abaca …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 2, 2022 · pp. 34–46 Read article
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A review of the intelligent techniques for load forecasting of UHBVNL
Abstract: The primary aim of load forecasting is to know the change in power demand with the variable factors on a short-term, medium-term, and long-term basis and to evolve our power system network according to the changing variables. It ensures correct values to the operations, stability, demand management, scheduling generating capacity, efficiency, reliability, accuracy, economy, controlling, scheduling, security analysis, environmental sustainability, etc. Various forecasting techniques are there which are making it …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 3, 2023 · pp. 30–38 Read article
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Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites
Abstract: Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance. The various damage mechanisms such as matrix cracking, fiber breakage, delamination and interfacial failure, however, make the forecasting of damage particularly complex. In this work, a hybrid machine learning (ML) and finite element (FE) system is proposed for predicting the damage behavior of FRP …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Developing an Assessment Protocol in Ayurvedic Research for Hyperemesis Gravidarum with Special Reference to Garbhini Chardi
Abstract: Garbhini Chardi (nausea and vomiting in pregnancy) is described in Ayurvedic texts as one of the Vyakta Garbha Lakshanas – early physiological signs indicating pregnancy. However, when this symptom becomes excessive, persistent, or distressing, it may transition from a normal event to a pathological condition, requiring timely intervention to safeguard maternal and fetal health. In advanced stages, it leads to day-to-day incapacitation, weight loss, dehydration, and metabolic disturbances – clinically …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 44–61 Read article
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PI and Fuzzy Logic Controller Based Analysis of Load Frequency Control for Thermal-nuclear Hybrid Energy Systems
Abstract: In this paper a two-area system: area-1, which has a thermal power plant, and area-2, which contains a nuclear power plant. By combining these domains, two area thermal-nuclear systems are developed in the MATLAB Simulink framework. To ensure the quality of power generated and to feed the load, generation should be raised in tandem with the growth in load demand, or the network should be connected. Using various controllers, LFC …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 1–9 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Novel Plant Growth Promoting Rhizobacteria from Rhizospheres of Date Palm (Phoenix dactylifera): 16S rRNA Typing and Phylogenetic Analyses Reveal their Distinct Identity
Abstract: AbstractPlant growth-promoting rhizobacteria (PGPR) comprise a large portion of soil microbiome and are essential for the growth of plants as they are capable of exhibiting a range of plant growth promoting biochemical mechanisms. Reports on rhizosphere microflora of date palm tree Phoenix dactylifera are scarce and the rhizomicrobiome of the date palm tree is expected to have microbial members that exhibit features to overcome stress due to varying conditions such …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 1, 2019 · pp. 11–25 Read article
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A Comparative Evaluation of a 13-story G+ Building with a Soft Storey, Using Pushover Analysis, with a Focus on the Impact of Different Placement of Shear Walls
Abstract: Asymmetrical structures with varying degrees of irregularity have proven to be a significant factor in causing collapses, damage to property, and injury during earthquakes. Despite extensive research on asymmetric buildings, there are currently no established guidelines for multi-story structures of this type. A soft storey, also known as a weak storey, is a level in a structure with insufficient rigidity or ductility to sustain earthquake-induced damage Pushover analysis has been …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 1–9 Read article
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Yoga Posture Detection and Correction
Abstract: Our project introduces a pioneering method for enhancing yoga practice through real-time pose correction, utilizing cutting-edge computer vision technology. Originating in India 5000 years ago, yoga offers profound benefits for both body and mind, yet with the modern lifestyle's increasing stress levels, its popularity has surged globally. While various avenues exist for learning yoga, including classes at yoga centers and self-learning through books and videos, many individuals struggle to identify …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Minimization of distortion during Gas Metal Arc welding process used for hydraulic shearing machine pressure plate square
Abstract: The Gas Metal Arc Welding process is widely used in many appliances because of its versatility. The change of shape and dimensions that occur after welding is known as distortion that leads to undesirable results. And to overcome this, it requires reducing the distortion within the limits. A large number of resources are used recently for reworking the weld. But it causes higher cost of production and delay for completing …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 33–43 Read article
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Experimental Analysis of Cutting Forces Under Different Machining Parameters and Carbide Inserts During Turning of Hardened AISI 4340 Steel
Abstract: Turning of hardened materials with an advanced coated carbide insert has numerous advantages over the grinding process, e.g., reduced process cost, high material removal rate, and less environmental concern due to the elimination of the cutting fluid. Process parameters in conventional machining operations like cutting speed, feed, and depth of cut play the most crucial role behind the generation of heat which also leads to microstructural changes, improved tool life, …
Published in Journal of Polymer & Composites Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Physicochemical Analysis of Kushtae Sadaf Prepared by Modern Furnace Method
Abstract: Traditionally in the Unani System of Medicine, Kushtajat are recommended to be prepared by using pit with cow dung cakes. This procedure of preparation is an old age method. Now in modern world, cow dung cakes are not easily available in the market, especially in the metro cities. Moreover this procedure is tedious. Therefore, it feels that modern procedure may be adopted in the preparation of Kushtajat. Hence instead of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 6, Issue 2, 2017 · pp. 30–36 Read article