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53 articles for “Accuracy”
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Physiotherapeutic Strategies to Enhance Throwing Accuracy in Cricket Players
Abstract: Background: Throwing accuracy is a crucial skill for cricket players, impacting both individual performance and team success. Physiotherapeutic strategies can enhance throwing mechanics, strength, and flexibility, leading to improved accuracy. Objectives: This study aims to outline effective physiotherapeutic interventions that optimize throwing accuracy in cricket players. Methods: A comprehensive review of current literature and practices was conducted with 3 articles found through PubMed, Google Scholar & Research Gate year range …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 30–34 Read article
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Clinical Medicine Done with Clinical Accuracy
Abstract: The advancement of clinical medicine has progressively underscored the significance of accuracy in diagnosis and therapy. This article examines the concept of "Clinical Medicine Administered with Clinical Precision," emphasising how innovations in diagnostics, data analytics, and personalised treatments are transforming the healthcare environment. Clinicians can provide therapy that is not only successful but also personalised to each patient's requirements by combining evidence-based practices with patient-specific factors including genetic profiles, comorbidities, …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 6–19 Read article
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Identifying ABO Blood Group and Rh Status Using Dried Saliva Samples
Abstract: This article discusses the accuracy of dried saliva samples in establishing ABO and Rh blood types. Participants, likely screened for secretor status beforehand, submitted blood and saliva samples. Both samples were ABO blood typed (A, B, AB, or O) using standard methods such as gel card technology or hemagglutination assays. We used both saliva and blood to perform Rh typing. The findings revealed that saliva and blood typing for ABO …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 11–19 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Lamivudine And Dolutegravir Simultaneous Dosage Forms Determined and Validated Using The RP-UPLC Method
Abstract: RP-UPLC has been used to produce a straightforward, precise, and accurate approach for the simultaneous estimation of dolutegravir and lamivudine in a pharmaceutical dose form. A HSS C18 column of 2.8 x 50 mm and featuring particles with a size of 1.6 μm was used to process the chromatogram. A mixture of 70:30 Buffer Na2HPO4 and methanol made up the mobile phase, which was pushed across the column at a …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 5–13 Read article
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Performance Forecasting in Solo Sports: Leveraging Psychometrics, Economic Analysis, and Cultural Insights for Predictive Excellence
Abstract: The science of performance forecasting in solo sports has transcended traditional metrics, embracing a multidisciplinary approach. This paper explores the integration of psychometrics, economic analysis, and cultural insights to predict athletic success. By leveraging psychological profiling, economic factors, and cultural dynamics, this study aims to establish a comprehensive model for forecasting athlete performance with heightened accuracy. In the realm of solo sports, where individual prowess dictates success, traditional performance forecasting …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 35–44 Read article
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Assessment of Differential Global Positioning System (DGPS Technology for Generating Accurate Topographic Maps and Controls: A Case Study of Farin-Lamba to Kwali College Area
Abstract: This study investigates the application of Differential Global Positioning System (DGPS) for topographic mapping and control point establishment in Farin-Lamba to Kwali College Area. The second order Survey controls extension are critical indices for ensuring structural and border control mechanisms in environmental development projects. However, creating these controls using traditional ways presents major obstacles. Most modern techniques are improvements on ancient approaches, which raises the possibility of environmental dangers and …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 11–23 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2024 · pp. 13–23 Read article
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Development and Validation of a Robust RP-HPLC Method for Rufinamide Quantification in Pharmaceutical Dosage Forms
Abstract: The creation and validation of a simple, precise, and targeted reverse phase high-performance liquid chromatographic (RP-HPLC) approach allowed for the quantification of rufinamide in pharmaceutical dosage forms. With a mobile phase of methanol and water (50:50, v/v), the technique used a gradient mode Symmetry Qualisil gold C18 column (4.6 x 150mm, 5 μm). For the detection method, a flow rate of 1 mL/min was employed at 220 nm. During a …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 25–32 Read article
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Advancements in Handwriting Recognition: A Deep Learning Approach
Abstract: This article provides detailed information about handwriting text recognition. Some human characteristics are unique to the individual. Writing is one of the scientifically proven habits that is different for everyone. Handwriting Text Recognition (HTR) is responsible for identifying written characters and converting them into digital text. HTR is an intensively researched area, but improvements can still be made in accuracy and efficiency. Digitization of manuscripts is very useful in today's …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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Real-time Mask Detector (Monitoring COVID-19)
Abstract: This study presents the development and implementation of a real-time mask detection system designed to monitor and enforce mask-wearing policies during the COVID-19 pandemic. Utilizing a convolutional neural network (CNN) and a dataset consisting of annotated images, our system can accurately detect the presence or absence of masks on individuals in various environments. The proposed system achieves high accuracy and can be deployed in public spaces to help mitigate the …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 42–49 Read article
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Data-driven Approaches to Mineral Resource Management Using AI: A Brief Review
Abstract: The role of Artificial Intelligence (AI) in the mineral resource sector has become increasingly significant over the past few years, as industries seek to optimize and modernize their operations. AI encompasses a variety of technologies and techniques, such as machine learning, deep learning, and expert systems, that are now widely used in mineral exploration, resource estimation, and mine management. These AI-driven approaches have brought about a transformative shift, enhancing efficiency, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 25–29 Read article
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Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Assessing Vitamin D Levels in Fortified Foods and Supplements for Infants and Its Impact: A Review
Abstract: In this study, the vitamin D levels in fortified foods (including follow-on formula, baby porridge, and curd cheese dessert) and dietary supplements designed for infants were examined. Analytical assessments uncovered variations in vitamin D concentrations compared to the labeled values, fortified foods contain anywhere from 50% to 153% for supplements 8% to 177%. Instant follow-on formula and oil-based supplements typically aligned with or surpassed the labeled values, whereas ready-to-eat baby …
Published in International Journal of Nutritions · Vol. 1, Issue 1, 2024 · pp. 19–24 Read article
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Unveiling the Synergy: Sciatica, Arthritis, and Their Integrated Approach to Wellness
Abstract: This comprehensive review delves into the intricate connection between sciatica and arthritis, unraveling the etymological roots of “sciatica” from its ancient Greek and Latin origins. Tracing the historical aspects of sciatica back to the teachings of Hippocrates, the fifth-century BC Hellenic physician, sets the stage for a contemporary exploration of the interplay between these conditions. The sciatic nerve, including nerve roots spanning from L4 to S3, stands out as the …
Published in International Journal of Vaccines · Vol. 1, Issue 2, 2024 · pp. 22–31 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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Mechanically Operated Portable Hydrotesting Setup
Abstract: Hydrostatic testing is a crucial process in ensuring the integrity and safety of pressure vessels, pipelines, and various other industrial equipment. Traditional hydrostatic testing setups often require significant infrastructure and resources, limiting their accessibility and flexibility, especially in remote or constrained environments. This research paper presents the design, development, and implementation of a portable hydro testing setup tailored to address these challenges. The proposed setup offers a compact, versatile, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 21–27 Read article
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Approach to Examine the Effect of Atomic Number on Single – Electron System of Group III Elements
Abstract: This study investigates the ionization energy, kinetic energy, and mass relationships among Group III elements (Boron, Aluminum, Gallium, Indium, and Thallium) to provide a comprehensive understanding of their atomic and physical properties. A detailed analysis of ionization energy trends reveals that Boron exhibits the highest ionization energy, while Thallium has the lowest, consistent with periodic trends influenced by increasing atomic radius and electron shielding. Gallium deviates slightly from this trend …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 01–09 Read article