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157 articles for “object detection”
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Collaborative Care for Diabetic Retinopathy: Integrating Artificial Intelligence and Clinical Pharmacy Services - A Comprehensive Review
Abstract: Background: Diabetic retinopathy (DR) remains the leading cause of blindness among working-age adults globally, affecting approximately 103 million people worldwide. The integration of artificial intelligence (AI) technologies with clinical pharmacy services presents unprecedented opportunities to enhance screening, diagnosis, and management of DR through collaborative care models. Objective: This comprehensive review examines the current landscape of collaborative care approaches for diabetic retinopathy management, focusing on the integration of AI-powered diagnostic tools …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 118–128 Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article
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Alopecia Areata: Complex Roots and Potential Cures
Abstract: Autoimmunity is when the healthy organs of an individual’s body are attacked by its own immune system, leading to illness or functional abnormalities. The hair follicles (HFs) are wrongly destroyed by the immune system in a condition known as Alopecia Areata and results in chronic non-cicatricial hair loss discernible by spherical patches. It’s a severely worsening or relapsing malady that can be permanent during severe falling out of hair. In …
Published in International Journal of Vaccines · Vol. 1, Issue 1, 2024 · pp. 41–54 Read article
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Harnessing AI in the library of IITs: A Journey Towards Automation to Intelligence
Abstract: This study carries out an in-depth analysis of the impact and execution of Artificial Intelligence (AI) technologies in one of the noteworthy libraries in the twenty-three (23) Indian Institutes of Technology (IITs). It would be pertinent to mention that there is hardly any doubt that one of the most radiating technologies in the field of computing technologies is Artificial Intelligence which in turn is rendering a profound impact on the …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 95–105 Read article
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Systolic-Predominant Hypertension and the Aging Heart: A Cross-Sectional Study on LVH and Cardiovascular Riskss
Abstract: Background: Systolic-predominant hypertension, defined as a systolic blood pressure ≥140 mm Hg with diastolic pressure <90 mm Hg, is the most prevalent form of hypertension in the elderly. It arises primarily due to age-related arterial stiffening and baroreceptor dysfunction. Once considered a benign outcome of aging, systolic-predominant hypertension is now recognized as a major risk factor for cardiovascular morbidity and mortality. Aim and Objective: To evaluate the cardiac status and …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 13–24 Read article
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A Narrative Review on Osteogenesis Imperfecta and Its Management
Abstract: Osteogenesis imperfecta (OI), sometimes referred to as brittle bone disease, is a heterogeneous illness characterized by short stature, several fractures, and distorted bones. The main contributing factor to OI is mutations in the genes needed to produce type 1 collagen. While severe OI is perinatally fatal, mild OI can occasionally not be detected until maturity. The frequency of Osteogenesis imperfecta ranges from about 1:15,000 to 1:20,000 births. Five kinds of …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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A Survey of Several Machine Learning (ML) Algorithms for Security Solution in Internet of Things (IoT) Networks
Abstract: The Internet of Things (IoT) refers to the integration of physical objects with the Internet, allowing for connectivity and monitoring. This idea has garnered immense attention from researchers and users alike, driven by the widespread accessibility of the Internet. It spans a wide range of devices, including smart versions of conventional appliances, innovative tools tailored for Internet-enabled ecosystems, and sensors that leverage connectivity to revolutionize industries such as manufacturing, healthcare, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Enhancing Space Safety: A Review of CubeSat Constellations for Tracking Orbital Debris
Abstract: Space debris includes any human-made object in orbit or idle. Debris reentering the atmosphere or orbiting the Earth are examples of these things. Debris can include satellites or launch vehicles, dysfunctional spacecraft, remains from rockets and airplanes from crashes or explosions, debris from spacecraft and vehicles that were purposefully expelled during separation or operation, etc. The danger of collisions rises as the number of items in the path increases. Over …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 3, 2024 · pp. 27–43 Read article
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Editorial: Advancements in Movement Analysis for Understanding Neurological Disorders
Abstract: Neurological disorders pose a significant challenge, demanding innovative approaches for accurate diagnosis, effective treatment, and deeper understanding. Movement analysis emerges as a powerful tool, offering a quantitative window into the complexities of motor function. This editorial delves into the transformative impact of movement analysis on neurological research and clinical practice. Traditional diagnostic methods, reliant on subjective observations, often miss subtle motor impairments, particularly in early disease stages. Movement analysis tackles …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 28–32 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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Black Hole and Accretion Disks:Observational Discoveries and Theoretical Frameworks
Abstract: This review covers the essential elements of black hole accretion disk theory, beginning with the primary objective of understanding the complex nature of black holes. We delve into how key features of strong gravity, such as the event horizon, innermost stable circular orbit, and ergosphere, manifest in accretion disks. This review revisits the physical mechanisms driving accretion disks and presents four main models: thin disks, Shakura-Sunyaev disks, advection-dominated accretion flows …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Exploring Artificial Intelligence in the Finance Sector
Abstract: Artificial intelligence (AI), machine learning (ML), and progressive algorithms illustrate a substantial technological leap with wide applications across sectors like automobiles, healthcare, gaming, finance, entertainment, and more. The foremost objective of AI is to produce intelligent, independent systems capable of self-sustaining decision-making. This study delivers a concise summary of AI, concentrating on its transformative influence on finance, especially within banking, asset firms, derivatives markets, and insurance enterprises. It summarizes the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 16–23 Read article
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Estimation of Alogliptin and Dapagliflozin in Synthetic Mixture by RP-HPLC Method
Abstract: The primary objective of the proposed research was to develop and validate analytical methods for the simultaneous quantification of Alogliptin and Dapagliflozin in a synthetic mixture. Alogliptin and Dapagliflozin are medications used for managing diabetes, with Alogliptin inhibiting the enzyme Dipeptidyl peptidase-4 and Dapagliflozin belonging to the class of sodium-glucose cotransporter 2 inhibitors. High-performance liquid chromatography method development was conducted using a C18 column (250 mmX4.6 mm, 5 μm particle …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 37–46 Read article
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Smart Car Parking and Maintenance Systems: Leveraging IoT for Efficient, Sustainable Urban Transport
Abstract: One of the main objectives of the smart city aspect is to facilitate sustainable mobility, and one vital component of that is the creation of an intelligent parking system. The solution to the parking issue cities face is the allocation and monitoring of parking spaces. Using the results of this survey, we have investigated this issue. As a result, an effective parking management system is now required. We can provide …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 33–39 Read article
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Caries-Preventive Effects of Self-Applied Subacidic 0.5% NaF-HF Gel via Toothbrushing in 7–8-Year-Old Schoolchildren: A Randomized Controlled Clinical Trial
Abstract: To assess the caries-preventive effectiveness of self-applied subacidic 0.5% sodium fluoride–hydrofluoric acid (NaF-HF) gel used during toothbrushing in children aged 7–8 years Objective: To assess the caries-preventive effectiveness of self-applied subacidic 0.5% sodium fluoride–hydrofluoric acid (NaF-HF) gel used during toothbrushing in children aged 7–8 years. Methods: This 1-year, multi-arm, double-blind, placebo-controlled, parallel-group randomized study evaluated the caries-preventive efficacy of self-applied 0.5% NaF-HF gel among primary schoolchildren. A total of 1200 …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 1, 2026 · pp. 14–19 Read article
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Heavy Metal Exposure in Industrial Workers of Punjab
Abstract: Background: Particularly for those in sectors such textiles, metallurgy, and electronics, heavy metal exposure in industrial environments is a major health issue. A range of negative health effects can result from metal exposure including lead (Pb), cadmium (Cd), chromium (Cr), arsenic (As), and nickel (Ni), including neurological, pulmonary, and renal ones. There is little information available on the degree of heavy metal exposure industrial workers in Punjab, India experience. Objective: …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 · pp. 1–7 Read article
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Role of Inflammatory Markers and Lipid Abnormalities in Glycemic Dysregulation Among Type 2 Diabetics
Abstract: Background: Diabetes mellitus (DM) is a chronic metabolic disorder characterized by systemic inflammation and associated with various complications in multiple organs. Type 2 diabetes mellitus (T2DM) specifically involves insulin resistance, hyperglycemia, and inflammatory responses. This study investigates the levels of various inflammatory markers and their correlation with glycaemic control in T2DM patients. Objective: To evaluate the levels of inflammatory markers (including NLR, PLR, SII, SIRI, CRP, IL-6, TNF-α, TGF-β, MCP-1, …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article