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269 articles for “ANN”
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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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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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Efficient Energy Management using Artificial Intelligence (AI) and Machine Learning (ML) in Chemical Industry
Abstract: The globe is moving toward higher usage of renewable energy sources, particularly solar and wind energy, as a result of depleting fossil fuel supplies and growing environmental concerns. There are several forecasting methods available for effective wind energy utilization. This review uses algorithms for predicting solar and wind energy as well as artificial intelligence (AI) techniques. A wind-coal coupling energy system planning scheme was designed to lower the high energy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 33–50 Read article
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Bibliometric Analysis of TNAI’s The Nursing Journal of India, 2014-2023
Abstract: Since 1910, the Nursing Journal of India of TNAI has been playing a vital role in scattering of information and knowledge in various aspects of nursing and allied health care. This bibliometric (statistical) analysis is based on only 443 citing articles in English languages which are published in this Journal in 10 volumes (2014-2023). Out of total, 442 papers are under personal and one under corporate authorship. This study shows …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 1–17 Read article
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Polymer-Based Transparent Conductive Composites for Flexible Solar Panel Coatings
Abstract: This study investigates the fabrication and characterization of polymer-based transparent conductive composites (PTCCs) tailored for flexible solar panel coatings using poly(methyl methacrylate) (PMMA) and poly(ethylene terephthalate) (PET) matrices reinforced with silver nanowires (AgNWs), multi-walled carbon nanotubes (MWCNTs), and PEDOT:PSS. The composites were synthesized through a solution blending and doctor-blade casting method followed by post-treatments to enhance interfacial bonding and conductivity. Optical transmittance values above 85% were achieved across all composite …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 99–110 Read article
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Self-Starting Diesel Generator
Abstract: Power outages can happen to anyone, and they are a lot more frequent than the major outages that make the evening news on TV. Being prepared for a blackout goes beyond beans, batteries and bullets. Having a source of alternative energy to power your devices, both small and medium, can make all the difference. Larger devices can be powered, but you would need some serious generators to make sure you …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 1, 2025 · pp. 17–21 Read article
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Designing and Modeling of Giant Magnetoresistance (GMR) Materials based Devices in Electrical Power and Biomedical Systems
Abstract: This paper presents Designing and Modeling of Giant Magnetoresistance (GMR) Devices in Electrical Power and Biomedical Systems and the related materials. The GMR, inverse GMR, and Spin valve using exchange bias have been analytically derived and discussed from the designing point of view for optimizing the performance of the GMR based Devices in Electrical systems. More recently, GMR has been used in sensors, magnetic memory chips, and hard-disk read-heads. The …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 22–32 Read article
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Prevention of Water Overflows and Leakages at MPCOE Campus
Abstract: Water is one of the fundamental necessities of human life, essential for a wide range of daily activities. People rely on water for drinking, cleaning, cooking, irrigation, and industrial processes. To meet these needs, water is often pumped from ground storage to overhead tanks. However, the use of non-automated switches to operate pumping machines can lead to significant issues, such as water overflow and unnecessary electricity consumption. The proposed system …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 43–51 Read article
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Gas Sensors Fabricated using Carbon Powder Derived from Dried Banana Peels Waste to detect Methanol, Ethanol, Acetone Vapors and Carbon Dioxide Gas
Abstract: Low cost and environmentally friendly activated carbon powder was synthesized using waste banana peels. Phosphoric acid was utilized as activation agent. Doctor blade method was employed to fabricate films of activated carbon on conductive or nonconductive glass substrates. Films were subsequently annealed at 70 0C for 30 minutes in air. According to XRD patterns, single phase of activated carbon was crystallized in thin film form. Carbon prepared from banana peels …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 14–25 Read article
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Transforming Waste into Value: The Role of Discarded Waste in Sustainable Paver Block Production
Abstract: Concrete is the primary material used in building construction, but significant waste is generated during the demolition of structures. The increasing activities in the construction sector and manufacturing industries have led to a rise in waste production. This review paper explores the potential of utilizing Construction and Demolition (C&D) waste in the production of sustainable paver blocks, addressing the pressing environmental challenge of the estimated 12-14 million tonnes of construction …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–15 Read article
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The Silent Mineral: Structural Complexity and Industrial Utility of Natural Kaolin
Abstract: Kaolin, a naturally occurring aluminosilicate clay predominantly comprising the mineral kaolinite (Al₂Si₂O₅(OH)₄), exhibits a 1:1 layered silicate structure that imparts distinctive physicochemical properties suitable for extensive industrial utilization. Deposits of kaolin are broadly classified into primary (residual) and secondary (sedimentary) categories, each defined by their geological origin and mineralogical features. The industrial processing of kaolin encompasses stages such as raw material extraction, beneficiation, and purification, aiming to optimize parameters including …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 52–61 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Corrosion and Corrosion Protection of Cast iron due to Bio-organism
Abstract: Cast iron is a high tensile strength metal. It is generally used for making tools, pipe fitting, electrical fitting equipment and rail track. It interacts with corrosive substances to develop electrochemical cell on their interface. Corrosive substances are acids, bases, salts, bio-wastes, particulates and pollutants. These substances produce hostile medium for materials. These harmful wastes discharge by industries, households, agricultural, urbanization, development of infrastructure, construction works, thermal power stations, hydropower, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 105–114 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Bedaquiline: An In-Depth Exploration into Its Antitubercular Significance
Abstract: Tuberculosis is still a leading infectious disease and a major threat to public health. Although there has been a slow decrease in the incidence over years, its “hard to kill nature” is responsible of about 2 million deaths in HIV infected individuals annually. Bedaquiline, a Diaryl-Quinoline drug was fast-track approved as an orphan drug to combat drug resistance. It shows potent activity against Mycobacterium tuberculosis by interfering with the production …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 06–14 Read article
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Quasi-Static Thermal Stress Analysis in a Thin Circular Cylinder Due To Internal Heat Generation Under Transient Temperature Conditions
Abstract: This paper is concerned with inverse quasi-static thermal stress analysis in a thin circular cylinder due to internal heat generation under transient temperature conditions. The internal heat generation is modeled as a cylindrical surface heat source located in the annular region along the axial length of the cylinder. This source is placed concentrically inside the cylinder and begins releasing heat spontaneously at a specific point in time. The thin circular …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 17–28 Read article
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English Literature in the Digital Era: Transformations and Trends
Abstract: English literature context has been changed significantly with modernisation of the digital age that is creating a massive impact on creation, dissemination, and interpretation of literature. When one considers the relationship between literature and digital innovation, one may summarize these disruptive forces as both a challenge to and opportunity for literature — a hybridization of past forms. It explores how digital technologies have transformed reading practices, textual analysis, and the …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 27–32 Read article
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Advancements in Machine Learning: A Comprehensive Review of Algorithms, Applications, and Future Directions
Abstract: Gaining knowledge of Machine learning (ML)-guided format algorithms leverage predictive models to generate novel devices with optimized properties across several domains, which include drug discovery, fabric synthesis, and biomolecular engineering. Selecting an effective format set of policies consists of identifying appropriate hyperparameters, predictive models, and generative mechanisms to maximize format fulfilment. This study introduces an established method for set of policies requirements, ensuring that generated designs meet predefined fulfilment criteria, …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 17–33 Read article