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502 articles for “Ear Identification”
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 4, 2022 · pp. 11–18 Read article
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Improving Postpartum Care Through Nursing Interventions: A Focus on Mental Health, Breastfeeding Support, and Physical Recovery
Abstract: Postpartum care is a vital phase that requires a comprehensive approach to addressing mothers' physical, emotional, and psychological needs. Nursing interventions, which focus on mental health, breastfeeding support, and physical recovery, play a critical role in enhancing postpartum outcomes. Nurses are central to identifying and managing postpartum depression and anxiety through early screening, counselling, and facilitating access to mental health resources. This ensures timely intervention, reducing the long-term impact of …
Published in International Journal of Midwifery Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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Numerical Analysis of Oblique Impinge shock-wave/turbulent boundary-layer interaction Using Reynolds Average Navier Stroke Equations
Abstract: Interaction of shock waves with turbulent boundary layer plays an important role in the design and operability of high-speed aerospace vehicles and air-breathing engines. During interaction, the adverse pressure gradient of the shock is often strong enough to separate the boundary layer. Reynolds averaged Navier-Stokes simulations using conventional turbulence models do not predict the correct size and shape of the separation bubble in strong shock/turbulent boundary-layer interactions. The corresponding surface …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 3, 2019 · pp. 31–48 Read article
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APPLICATION OF ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY
Abstract: The application of artificial intelligence (AI) in medicine, especially through machine learning (ML), is revolutionizing new-age drug discovery research. AI is found as an efficient and powerful tool to narrow the gap between disease detection and developing and identifying potential therapeutic agents for a cure. This review provides a summary of the latest developments in AI and its potential application in drug discovery for untreatable diseases. The review also examines …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article
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AI-Enabled Recycling of Thermoplastic Polymer Waste in Hospitals: A Circular Economy Pathway Toward Green Hospital Certification
Abstract: This review research explores the latest role of AI in improving thermoplastic waste management for hospitals in terms of segregation accuracy, operational efficiency, and circular economy outcomes. Seventy-five relevant studies were analysed, and it was reported that AI-based systems, especially CNNs, YOLO models, and sensor-fusion approaches, achieved high accuracy in the identification and sorting of medical plastics, often above 90%. Early evidence also reveals improvements in the reduction of contaminants, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 170–182 Read article
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A Review on Metal Inert Gas Welding of Dissimilar Steels
Abstract: Joining of dissimilar metals has found its use extensively in power generation, electronic, nuclear reactors, petrochemical and chemical industries due to environmental concerns, energy saving, high performance, cost saving and so on. However efficient welding of dissimilar metals has posed a major challenge due to difference in thermal, mechanical and chemical properties of the materials to be joined under a common welding condition. This causes a steep gradient of the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 1, 2020 · pp. 1–15 Read article
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Automatic IoT Based Agricultural Assistant
Abstract: Abstract—During the main objective is to assist the farmers to improve agricultural practices using the image processing technique. Increasing population requires the food production to be increased which requires better cultivation in the form of proper utilization fertilizers. The objective of autonomous agribot is to effectively utilize the resources and to reduce labour work. By developing this robotic vehicle with its multitasking agricultural features, farmer can cultivate irrespective of the …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 1–4 Read article
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Presentation Delay in Breast Cancer Patients, Identifying the Barriers Among Women Receiving Breast Cancer Drugs at Hawassa University Comprehensive and Specialized Hospital, Ethiopia
Abstract: Background: Breast cancer remains the most common cancer and most common cause of cancer-related mortality among women worldwide [1]. While incidence rates have historically been higher in the developed world, there has been a recent sharp increase in incidence and mortality in the developing world [2]. Objectives: The main purpose of this study was to assess the barriers resulting in delayed patient presentation to breast cancer care among women receiving …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 3, 2018 · pp. 24–31 Read article
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Early Life Nutrition as a Determinant of Long-Term Vaccine Immunogenicity in Livestock: Mechanisms, Practical Strategies, and Species-Specific Considerations
Abstract: Early life represents a critical period for immune system development in livestock, during which nutritional exposures can exert long lasting effects on vaccine immunogenicity. Although vaccination is a cornerstone of infectious disease control in food producing animals, marked variability in vaccine induced immune responses is frequently observed under commercial conditions. Growing evidence suggests that this variability is partly driven by differences in early nutritional status, which can influence immune maturation, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 Read article
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Early Heart Failure Recognition for Infants Using Machine Learning
Abstract: The care of newborn infants remains a significant responsibility for healthcare professionals, as ensuring infant survival can often be complex and demanding. Conditions such as heart failure and cardiac arrest in infants are life-threatening and require prompt diagnosis and treatment. Detecting cardiac problems at an early stage can greatly enhance survival outcomes and minimize serious complications. In recent years, machine learning (ML) approaches have become valuable tools for predicting cardiovascular …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Immunological Mechanisms Underlying Autoimmune Disorders: Recent Advances and Therapeutic Implications
Abstract: A diverse range of illnesses known as autoimmune disorders are typified by dysregulated immune responses against self-antigens, which result in tissue damage and persistent inflammation. Understanding the genetic, epigenetic, and environmental variables that contribute to autoimmune pathogenesis has advanced significantly during the last ten years. Current disease models have been transformed by new understandings of immunological tolerance mechanisms such as the functions of regulatory T cells, cytokine networks, and the …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 21–25 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 Read article
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Radiation is used in nuclear medicine for damaged tissues or organs treatment by X -Rays
Abstract: Utilizing radioactive particles inside the body, nuclear medicine can diagnose an illness by observing how an organ or tissue is working or by destroying unhealthy or damaged tissue after analysis. The natural environment exposes us to ionizing radiation every day, but additional treatments, such as those resulting from nuclear medicine treatments, may slightly raise the chance of acquiring cancers during later life.To determine the best course of action for your …
Published in Journal of Nuclear Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 31–34 Read article
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Oral Manifestations of Haematological Disorders (RBC Disorders)
Abstract: Haematological abnormalities are diverse in nature, in its causation as well as in its clinical manifestations, most ofwhich are exhibitedin the oral cavity. In fact,the oral site in many instances could act as the forerunner of itsmanifestations before the expression of systemic signs and symptoms. The symptoms of haematological disorders are sovaried and nonspecific but often represent the initial sign of an underlying disease. Anaemic disorders are associated with orofacial …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 1, 2020 · pp. 18–22 Read article
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Radiopaque Polymer Composites for Improved Visualization of Interventional Devices
Abstract: Radiopaque polymer composites are increasingly important for improving the visualization of interventional medical devices under X-ray and fluoroscopic imaging while maintaining the flexibility, mechanical performance, and processability required for minimally invasive applications. This narrative review summarizes recent developments in radiopaque polymer composites, with emphasis on radiopaque filler selection, polymer–filler interactions, processing strategies, structure–property relationships, biocompatibility, and device applications. A focused literature search was conducted using PubMed, Scopus, Web of Science, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Factors Affecting Implementation of Pharmaceutical Care at Jimma University Specialized Hospital, South West Ethiopia
Abstract: Pharmaceutical care is the responsible provision of medicine therapy for the purpose of a definite outcome that improves a patient’s quality of life. It is a necessary element of healthcare and the concept implies the active participation of the patient in medicine therapy decisions and, the cooperation of healthcare providers across disciplines. This study was conducted to explore factors that affect the implementation of pharmaceutical care at Jimma University Specialized …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 7, Issue 3, 2016 · pp. 30–40 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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Lemon Sign: The Diagnostic Indicator for Spina Bifida
Abstract: The “lemon sign” is a distinctive ultrasonographic finding that serves as a diagnostic indicator for spina bifida, a congenital neural tube defect characterized by incomplete closure of the spinal cord. This sign is observed in fetal imaging and is considered an early and reliable marker for detecting spina bifida, particularly when combined with other prenatal diagnostic tools such as the “banana sign.” The lemon sign is characterized by a flattened, …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–6 Read article