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151 articles for “diagnostic applications”
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Detection of Brain Tumors from MRI Images based On Development of Thinking Computer systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 28–34 Read article
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Multisensor Data Fusion based Intelligent Temperature Measurement Technique
Abstract: Design and validation of a temperature measurement technique using fusion of temperature sensor like resistance temperature detector (RTD), and thermistor is proposed in this work. The objective of proposed work is to design a technique using fuzzy logic algorithms to fuse two different sensors having dissimilar characteristics. A fuzzy logic system is trained to produce an output for a temperature measurement system which is (a) more linear input-output characteristics as …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 2, 2014 · pp. 1–13 Read article
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Dielectric Breakdown and Electrical Aging of Insulating Polymer Materials in High Voltage Systems
Abstract: In this paper, a detailed analysis of dielectric breakdown and electrical aging behavior of high-voltage insulating polymer material has been proposed through sophisticated MATLAB simulation. The research involves electric field modeling, aging life prediction, partial discharge (PD) behavior and uncertainty modeling using Monte Carlo analysis. Electric field hotspots causing critical behavior, sensitivity of the lifespan to electric stress, and the stochastic PD build-up allow predictive diagnostics of the health of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 173–187 Read article
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Advances in Nanotechnology-based Biosensors: Enhancing Sensitivity and Specificity in Biomedical Diagnostics
Abstract: This study provides an in-depth exploration of the rapidly evolving field of nanotechnology-based biosensors, emphasizing their significant impact on biomedical diagnostics. The integration of cutting-edge nanomaterials, including nanoparticles, nanowires, and quantum dots, has catapulted biosensing technology to new heights, yielding unprecedented gains in sensitivity and specificity, and revolutionizing the detection of biomolecules. The study highlights various types of nanobiosensors, including optical, electrochemical, and magnetic, each offering unique advantages for detecting …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 26–32 Read article
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Remote Monitoring and Control of the Elevator Simulator Module using Internet of Things
Abstract: The concept Internet of Things is developing in exponential manner. With the new technologies available and hardware compatibility, IoT solutions promise extraordinary potential. PLC is having several advantages such as simple structure, high reliability and ease of maintenance; hence it has been widely used for elevator applications. The objective of implementing IoT system to elevator simulator module is to improve predictive maintenance, remote diagnostics and troubleshooting. This work aims to …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 8–15 Read article
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Efficient and High Power InGaN Based MQW Blue Laser
Abstract: AbstractThis research work deals with the design of a 450 nm MQW blue laser to get the optimized output power and efficiency. The maximum output power is found for an injection current of 120 mA. This laser is designed to improve the performance of a MQW blue laser to get an efficient and high power output. For this purpose the structure is designed using In0.235Ga0.765N/Al0.07Ga0.93. A high performance of the …
Published in Trends in Opto-electro & Optical Communication · Vol. 4, Issue 3, 2014 · pp. 14–22 Read article
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Unraveling Metagenomics: A Comprehensive Diagnostic Approach for COVID-19
Abstract: The COVID-19 pandemic has brought attention to the need for rapid, accurate, and scalable diagnostic techniques. Metagenomics, a powerful technique that enables the comprehensive analysis of genetic material from complex microbial communities, has emerged as a promising diagnostic approach for COVID-19. This article elucidates the principles of metagenomic sequencing, highlighting its ability to detect viral RNA directly from clinical samples without prior knowledge of the pathogen. Furthermore, we discuss the …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 2, 2024 · pp. 19–28 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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A Review on Applications of Artificial Intelligence (AI) in Parkinsons’s Disease Diagnosis and Treatment and Its Future Challenges
Abstract: Parkinson’s disease (PD) is a long-term, progressive neurodegenerative disorder that mainly occurs in people older than 60 years, affecting nearly 1% of this population. It is chiefly marked by the loss of dopaminergic neurons in the substantia nigra, a crucial brain region responsible for controlling motor functions. The resultant dopamine deficiency significantly disrupts motor control, manifesting in clinical symptoms such as tremors, bradykinesia, muscle rigidity, and postural instability. While PD …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 1–15 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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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Application of Cholesteric Liquid Crystals in Oncology, Music Color Device and for Indication of Sorption Process
Abstract: The cholesteric liquid crystal films were used on the basis of the property of cholesteric liquid crystals under the change of the temperature to change their color, and the developed device for diagnostics of breast cancer that easy and productively permits to conduct the diagnostics with the high accuracy of colored image of benign or malignant tumor; the developed music color device, which permits to “revive” by the different colors …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 3, 2018 · pp. 1–11 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Advanced Polymer Nanocomposite EEG Electrodes for Enhanced Epileptic Seizure Detection: A Comparative Analysis
Abstract: Electroencephalography (EEG) has been very important in the detection of epileptic seizures so as to enable successful diagnosis, surveillance and therapy of epilepsy. Nevertheless, EEG electrodes based on traditional metals may be limited due to high or high contact impedance, lack of biocompatibility, discomfort to patients and prone to motion artifacts, which interfere with signal quality and diagnostic adequacy. The recent progress in material science has resulted in coming up …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 Read article
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Concept of Upashaya—A Multifactorial Diagnostic Tool in Ayurveda
Abstract: Ayurvedic approach of diagnosing any disease is a complex process in which various factors are to be understood. Treatment and diagnosis begins with RogaPareeksha (ailment examination) and Rogi Pareeksha (patient examination). Once these two concepts are clear, Vyadhi Vinishchaya and vyavaccheda (Differential diagnosis) will be perfect. This facilitates the Vaidya to make a wise choice of drugs and appropriate Chikitsa (treatment). Out of numerous ways of diagnosis in Ayurveda, one …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 8, Issue 2, 2019 · pp. 13–18 Read article
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Review on Azo-Compounds and Their Applications
Abstract: Azo-colored compounds that form the basic structure of many synthesized compounds in many fieldsof chemistry, especially coordination chemistry, as they contain a group (-N=N-). These dyes arewidely used as colorants, as they contribute to nearly 50% of artificial colors. Also in manyapplications such as ink-jet printing, optical imaging, and biomedical diagnostics , azo dye containsone or more D-π-A systems that can produce various colors by changing the electron donation (D) …
Published in Journal of Catalyst & Catalysis · Vol. 8, Issue 2, 2021 · pp. 8–16 Read article
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Evaluation of Small Vessel Disease by Advanced Brain Imaging
Abstract: Studying and comprehending brain small vessel disease requires extensive imaging. Recent applications of cutting-edge brain imaging techniques have led to the discovery of several significant results. Diffusion-weighted MRI studies have demonstrated the diagnostic accuracy of using clinical features alone or in combination with CT scan results to identify small vessel disease as the underlying cause is suboptimal in patients with acute lacunar syndromes. Acute infarcts caused by small vessel disease …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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Gold Nanoparticle Size, Biodistribution, and Toxicity: Insights from DualEnergy CT
Abstract: Dual-energy and spectral computed tomography (CT) have emerged as powerful platforms for noninvasive, quantitative mapping of nanoparticle biodistribution in vivo. By exploiting the energy-dependent attenuation profiles of high-atomic-number (high-Z) materials, these systems enable material decomposition and element-specific imaging, thereby distinguishing nanoparticle signals from those of soft tissues and conventional iodinated contrast agents. Photon-counting spectral CT further enhances this capability by binning individual photons into multiple energy channels, improving spatial resolution, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 · pp. 22–34 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Synthesis, Characterization, Antibacterial Evaluation and Study of Organic Separation Behavior for Five Membered Ring for Pyridine Derivatives
Abstract: Imidazoles can be prepared by condensation between amines and various aldehydes and ketones. Imidazole derivatives are important compounds due to their broad biological activity and pharmacological properties, such as antifungal, antioxidant, cytotoxic, anti-inflammatory, analgesic, anti-YFV (yellow fever virus), anti-tuberculosis, and antimicrobial activity. In recent years, many studies have been conducted on the preparation of biological imidazole derivatives, especially derivatives linked to heterogeneous rings containing nitrogen or any other donor atom. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 106–121 Read article