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502 articles for “Ear Identification”
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Cathodoluminescence method to scheme optical remains
Abstract: Cathodoluminescence (CL) microscopy replaces light generation by a focused electron-beam so as to visualize optical information at resolution of electron microscope. High-resolution imaging has pursued on strongly cathodoluminescent substrates, such as glass. Method has been applicable for bio- and nano-sciences, said as CL identification of bio-markers within cells as well as ceramic character interpret to describe plasmon components from glass supported devices, given by, sensors, waveguides, plasmonic tweezers, and thin-film …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 2, 2021 · pp. 7–14 Read article
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Breast Cancer Detection Using Deep Learning
Abstract: Breast cancer, according to the Breast Cancer Institute, is one of the most difficult kinds of cancer that is extremely threatfulfor women all over the world. Early cancer discovery, followed by appropriate treatment, can help minimize the risk of deaths in the first stage of respective cancer only and increase the likelihood of survival by up to 8%. Medical imaging research has become increasingly reliant on machine learning and deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 33–42 Read article
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Evaluation of Yield and Fruit Quality of Thirteen Selected Tomato (Lycopersicon esculentum Mill) Cultivars in Southwest Nigeria
Abstract: Assessing the morphology, fruit yield, proximate composition and phytochemical properties of some grown tomato cultivars from southwest Nigeria is needed to identify quality and promote performance for tomato industry. Thirteen tomato cultivars that are prominently grown by farmers were purposively collected from farmer’s field across the region and evaluated for fruit yield and nutritional quality. Fruit yield and quality were evaluated on field and laboratory of Obafemi Awolowo University, Ile-Ife, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 5, Issue 3, 2016 · pp. 12–22 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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On the Relationship between Equivalent Potential Temperature (theta-e) and Convective Rain over Nigeria and Togo
Abstract: Convective precipitation is a key feature of West Africa's climate, driven by the West African monsoon system. Accurate forecasting of convective storms is challenging but essential for disaster mitigation in the region. This study investigates the ability of using equivalent potential temperature (theta-e) for predicting convective rainfall events in West Africa. Theta-e combines the thermodynamic effects of moisture and temperature to represent total energy available for convection. Daily rainfall and …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 26–43 Read article
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Precast Airport Lane Analysis of Military Air Base Using ANSYS
Abstract: This report describes the technology of using precast concrete panels for the repair of concrete pavements. The objective of the study was to assess the state-of-technology and to identify implementation challenges. The repair of concrete pavements using precast concrete panels may be an effective alternative to cast-in-place repairs, because it can reduce construction time and provide durable pavements. Construction costs of repairs using precast panels are typically higher than the …
Published in Trends in Transport Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 38–45 Read article
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Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms
Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article
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INFLUENCE OF ASPECT RATIO, GEOMETRIC CONFIGRATION AND CONTINUTY ON SHEAR WALL PERFORMANCE
Abstract: This study investigates the dynamic behavior of shear walls in high-rise buildings, focusing on the impact of varying parameters like aspect ratio, geometry, and continuous-discontinuous structures. By accurately identifying and quantifying various loads and conducting comprehensive structural analysis. The high-rise complex features reinforced concrete shear walls designed to resist lateral forces, ensuring safety and stability.This topic is chosen because the dynamic behavior of shear walls in high-rise buildings is critical …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 26–40 Read article
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Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines
Abstract: Deep learning and artificial intelligence in the field of precision medicine is revolutionizing healthcare to make personalized therapeutic approaches desirable based on the unique characteristics of the patient. AI technologies improve diagnostic accuracy by analyzing medical data, spotting patterns and anomalies that human experts may miss. AI-driven models are instrumental in precision medicine, where they can predict patient response to therapies to tailor treatment plans, enhancing outcomes and reducing adverse …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Internet of Things: A Survey of Architectures and Recent Research Trends
Abstract: Abstract— Internet of Things is a today’s Technology. Research on this technology is in early ages. In IOT Ocean, it is a collection of devices, domains, components, middleware, and protocols. IOT is such a technology, which is improving day by day. IOT is now becoming a part of daily human life. It opens new challenges and research area for researchers. This paper is just an effort to find research possibilities …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 3, 2017 · pp. 43–61 Read article
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Early Heart Disease Prediction Using Hybrid Machine Learning Techniques
Abstract: In the contemporary era, cardiovascular disease is one in all the most causes of death within the world. Estimating Heart problems i.e cardiopathy is a crucial challenge within the area of clinical data analysis. Large volumes of data produced by the healthcare sector have been proved to be useful for helping with decision-making and speculation, thanks to machine learning (ML).. Various studies help us to review and supply glimpse into …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 35–41 Read article
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Evaluation of Medication Adherence in Patients with Type 2 Diabetes Mellitus: A Mixed- Methods Approach
Abstract: Background: Medication adherence refers to how closely an individual follows the prescribed medication regimen. It is essential for achieving desired therapeutic outcomes and improving patient health. Inadequate adherence can result in the deterioration of health conditions, higher mortality rates, and increased healthcare expenses. Diabetes mellitus, being a chronic condition, demands ongoing medical care not only to prevent the onset of serious complications but also to manage them effectively once they …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 28–35 Read article
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Brain Tumor Detection by Aggregating Deep Learning and GAN Models for Faster MRI image Synthesis
Abstract: Brain tumors comprise a global health challenge that, in order to be treated and organized, need early and accurate diagnosis. Usually conducted through medical imaging, brain tumor detection techniques have problems of accuracy, efficiency, and confidentiality. Issues of limited datasets, strict privacy laws that provide restrictions on data sharing, and the necessity for specialized expertise on medical image analysis relegates modern methodologies to vulgar charades. For patient prognosis, treatment planning, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 45–53 Read article
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Review of Subsea Pipeline for Minimizing Thermal and Pressure Expansion
Abstract: As the offshore oil and gas fields have been exploited in deeper water, subsea pipelines are required to operate at high temperatures and pressures. It causes subsea pipelines to be more subject to movements both in lateral and axial directions due to the loads produced by high temperatures and pressures. Some high temperature pipelines have experienced the cumulative axial displacement of an overall pipeline length over a number of start-up/shut-in …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 10–22 Read article
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Monitoring and Controlling System of COVID-19 Symptoms Using Random Forest
Abstract: Corona virus (COVID-19) has already claimed hundreds of lives and infected millions of people around the world. The early detection of COVID-19 is shown in this paper. Machine learning random forest techniques were used to implement the detection procedure on cloud computing. Objectives of the study is to provide health assurance directly from home using some smart tools with cloud computing. Our research contribute the categorization of patients into different …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 22–29 Read article
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CTCHFA: Discovery of Circulating Tumor Cells in Metastatic Breast Cancer and Nonmetastatic Cancer by using Novel Hybrid Hierarchical Clustering Algorithm in Firefly Distance
Abstract: AbstractBlood testing for circulating tumor cells (CTCs) has emerged as one of the highest fields in cancer research. CTC detection are an early gene marker of reaction to systemic therapy, whereas their molecular characterization has a strong field that can be translated to individualized targeted treatments and spare breast cancer (BC) patients from unnecessary and ineffective therapies. Genomic research regarding CTCs monitoring for BC is limited due to the lack …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 9–18 Read article
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Android Applications for COVID-19 Tracking and Instant Plasma Donor
Abstract: As the world’s fight against the COVID-19 pandemic continues, much of the planet is pinning its hopes of easing lockdowns on having the ability to quickly identify people that might have been exposed to the virus. But such contact tracing is usually a laborious and slow process that relies on in-person interviews and detection. The applications discussed in the present paper aims to automate the method of retracing a person’s …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 2, 2021 · pp. 23–28 Read article
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Radiopharmaceuticals use as a nuclear medicine for a Treatment of Disease
Abstract: Radiopharmaceuticals are radioactive substances that contain a bonded radionuclide with the intention of directing the radionuclide to a specific place for treatment or imaging. Radiopharmaceuticals are employed in nuclear medicine for cancer therapy as well as other therapeutic and diagnostic applications. Therefore, the primary goal of this study is to identify the key metal complexes and radioactive elements utilized in radiopharmaceutical applications. The sodium and methylenediphosphonate (MDP-99mTc) complexes, along with …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 17–21 Read article
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A Systematic Review on Coronary Heart Disease: A Transient Ischemic Stroke
Abstract: Coronary Heart Disease (CHD) and Transient Ischemic Attack (TIA) are significant cardiovascular and cerebrovascular disorders that often share similar risk factors and underlying pathophysiological processes. CHD involves the narrowing or obstruction of the coronary arteries due to atherosclerosis, resulting in diminished blood flow to the heart. A transient ischemic attack (TIA), often called a "mini stroke," occurs when blood flow to the brain is briefly disrupted, usually due to a …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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Commonest Mode of Suicide in Jorhat District—One Year Retrospective Study
Abstract: One who succeeds in completing the act of suicide, has nothing to bother about and it is only the survivors who are the bear the consequence. Society must identify the potential cases of suicide prone and help and treat them in time irrespective of the method they apply to commit it. The modes of suicidal deaths in an area reflect the socio-economic status and mental health status of the population …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 1–4 Read article