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311 articles for “detection limit”
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Brain Stroke Detection Using Deep Learning and Grad-CAM Explainability Framework
Abstract: Seconds matter when a brain stroke occurs; it is a race against time where rapid, precise intervention is the only way to preserve a patient’s quality of life. This research introduces a deep learning framework designed to act as a vital ally for clinicians, providing automated, high-speed stroke detection through brain MRI analysis. At the heart of our approach is EfficientNetB0, a sophisticated neural network chosen for its ability to …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 8–14 Read article
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Mass Spectrometry–Based Phosphoproteomic Markers to Predict Kinase Inhibitor Response in Solid Tumors
Abstract: Mass spectrometry-based phosphoproteomics has emerged as a powerful tool for predicting kinase inhibitor responses in solid tumors, offering direct functional insights into signaling pathways that surpass traditional genomic profiling by capturing dynamic kinase activities and adaptive resistance mechanisms. Technological breakthroughs, including data- independent acquisition (DIA), trapped ion mobility spectrometry (timsTOF), and efficient enrichment methods like TiO2 or IMAC, now enable comprehensive profiling of over 40,000 phosphorylation sites from limited clinical …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 2, 2026 Read article
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Minimization of Energy Utilization in Wireless Sensor Network using Nature-Inspired Algorithm to maximize the overall network lifespan: A Review
Abstract: Wireless Sensor Networks is the most driving innovation in the world which makes it conceivable to collect the installed frameworks which can be typically carried in the pocket with the comparative capability of a Desktop Computer. It comprises of self-supervising battery controlled gadgets referred to as hubs which go about as a transducer. The hubs are sufficiently canny to detect, figure and transfer the information. While the hubs are battery …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 2, 2021 · pp. 30–35 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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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Tactile Sensing Technologies in Robotics: A Review of Sensors, Materials, and Applications
Abstract: Tactile sensing, which closely resembles the human sense of touch, is an essential capability in modern robotics. It enables robots to detect and interpret physical interactions with objects, surfaces, and living beings, thereby allowing them to operate more intelligently and adaptively in complex environments. Unlike visual or auditory sensors, tactile sensors provide direct feedback about contact, pressure, texture, force, temperature, and even vibration. These sensory cues are vital for improving …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 17–23 Read article
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Comprehensive Strategies for the Prevention and Management of Genital Thrush in Males and Females: A Public Health Approach in Punjab (September 2024 to February 2025)
Abstract: Background: Genital thrush, a common fungal infection caused mainly by Candida albicans, affected both men and women, leading to itching, discomfort, and recurrent infections. In Punjab, high humidity, poor hygiene awareness, excessive antibiotic use, and limited access to healthcare contributed to its widespread occurrence. Without effective prevention and management strategies, the condition significantly impacted quality of life. Addressing this issue through a public health approach was essential for reducing its …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 3, 2025 Read article
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Enhanced Biodiesel Production Via Encapsulation of Yeast Cells in Biocompatible Polymers
Abstract: Yeast-based biodiesel production offers a sustainable alternative to conventional fossil fuels. However, factors like harsh environmental conditions and shear stress during processing can limit yeast cell viability and overall biodiesel yield. This study explores the potential of encapsulation technology using biocompatible polymers to improve yeast performance in biodiesel production. Encapsulation can create a protective barrier for yeast cells, shielding them from harsh environments and shear stress during processing. This protection …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 57–62 Read article
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Review on Persistent Threat of Monkeypox
Abstract: Monkeypox virus (at this instant notorious as MPXV, the virus that sources the lately rechristened infection monkeypox) was learned at Denmark’s State Serum Organization in 1958, which is closely like smallpox. For the next 50 years, monkeypox was primarily confined to tiny, sporadic epidemics in western and central Africa. These epidemics were primarily caused by spillover episodes, in which the virus sprang through a host animal to a human, followed …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 3, 2024 · pp. 37–42 Read article
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Composite Gel-Fibers and Solid-State-Processed Tapes Based on Disentangled Ultra-High Molecular Weight Polyethylene and Electrically Conductive Carbon Black: a Comparative Study
Abstract: In this study, oriented nanocomposite gel-spun fibers and solid-state-processed tapes were manufactured and analyzed. The fibers and tapes were produced using a specific type of nascent disentangled ultra-high molecular weight polyethylene (UHMWPE) reactor powder. As the filler, commercially available electrically conductive carbon black (CB) was used. The ultra-high filler content values up to 75 wt.% were achieved for the UHMWPE/CB gel-spun fibers, while the degree of filling was limited (up …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 151–165 Read article