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156 articles for “precision rate”
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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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AI-Based Outfit Rating and Suggestion System
Abstract: The increasing demand for personalised fashion advice in the digital era has highlighted the need for intelligent, automated styling solutions. The AI-Based Outfit Rating and Suggestion System is a web- based platform that assists users in evaluating and improving their clothing choices through intelligent image analysis. Unlike conventional fashion applications that merely identify garment categories or suggest purchases, this system performs a holistic assessment of complete outfits by analysing colour …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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A Machine Learning Based Artificial Intelligence Model for Detecting Heart Illness
Abstract: This study centers around the improvement of an artificial intelligence- and computerized reasoning-based heart sickness determination framework. We exhibit how AI can help with foreseeing whether an individual will get cardiovascular infection. In this review, a Python-based application for medical care research is created since it is more reliable and helps track and lay out many kinds of well-being observing applications. We show information handling, which incorporates working with all …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 50–58 Read article
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
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Botnet Beacon: Unveiling Covert Networks with Advanced AI Detection Strategies
Abstract: Securing information technology systems is paramount in today's interconnected world, where the reliability and security of networks and applications are of utmost importance. In this context, the development of a Botnet Detection System (BDS) that harnesses the power of AI classification algorithms becomes a critical endeavor. The primary objective of this work is to construct a comprehensive framework for a BDS that can efficiently gather network data and subject it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 26–32 Read article
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Numerical Simulation of Crack Growth in Dynamic Loading Conditions
Abstract: Because it is crucial for forecasting structural failures in engineering applications, crack formation in materials under dynamic loading circumstances has become a crucial study topic. In this work, finite element methods (FEM) are used to numerically simulate fracture propagation in dynamic stress situations. The impact of loading rates, material characteristics, and crack geometries on crack growth patterns are assessed in a thorough parametric research. The work uses sophisticated computational methods …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 30–34 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 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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A Study on Automatic Feedback Control by Image Processing for Mixing Solutions in a Microfluidic Device
Abstract: Precise and rapid mixing of chemical and biological reagents is a critical yet challenging aspect of microfluidic systems, often limited by laminar flow conditions and the need for manual or pre- programmed interventions. Existing mixing strategies frequently lack real-time adaptability and closed-loop control, hindering reproducibility and the execution of complex reaction protocols. This work presents an innovative automatic feedback control system utilizing the study on real- time image processing to …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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RoseRAG-Based Clinical Decision Support System for Precision Medication Safety
Abstract: Medication-related errors remain a major challenge in healthcare, contributing to adverse drug events, increased hospitalization rates, and substantial healthcare costs. Conventional Clinical Decision Support Systems (CDSS) primarily rely on rule-based mechanisms for identifying drug-related problems (DRPs), including drug–drug interactions, contraindications, dosing errors, therapeutic duplication, and medication omissions. Although effective in structured environments, these systems frequently generate excessive context-insensitive alerts, leading to alert fatigue and reduced clinical acceptance. Recent developments in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Modeling and Simulation to Monitor Dissolved Nitrogen Depositions in Eleme Streams, River State
Abstract: This paper monitor the dissolved nitrogen deposition in stream, the study observed high rate of nitrogen content in the stream, the result from physiochemical analysis shows the rate and variation of nitrogen concentration, this pollution content were monitored applying modeling and simulation, the predictive values were generated from different stations, the result shows decreasing rate of dissolved nitrogen from all the stations, the results expresses in every points of observation …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 23–37 Read article
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Implementation of Energy-efficient Axial Fans for Air Handling Unit Using AI Model
Abstract: This research explores the integration of energy-efficient axial fans in Air Handling Units (AHUs) within a large automotive manufacturing facility to enhance HVAC (heating, ventilation, and air conditioning) performance and reduce energy consumption. Standard AHUs in the facility’s clean rooms and other spaces utilize traditional blower fans, which primarily rely on static pressure, limiting their efficiency. By replacing these with electronically commutated (EC) axial flow fans, which leverage both static …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 28–34 Read article
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An Experimental Study to Determine Optimum Machining Conditions for Electrical Discharge Machining of the Heat Treatable Steel 42CrMo4 (Din 1.7225)
Abstract: Electric discharge machining (EDM) is a well-established machining option and a non-traditional machining process, in many manufacturing-related industries worldwide. It is found to be capable of machining geometrically complex or hard material components, which are specific and difficult-to-machine. In this study, the electrical discharge machining of 42CrMo4 with different electrode materials namely, copper, aluminum and tungsten carbide and process parameters was performed to explore the influence of EDM parameters on …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 2, 2015 · pp. 23–32 Read article
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Parametric Optimization of Tool Wear Rate in Side Flushing form of Die Sink EDM of EN-31 Die Steel
Abstract: Electrical discharge machining (EDM) is one of the most extensively used non-conventional material removal processes for manufacturing geometrically complex or hard material parts that are extremely difficult to machine by conventional machining process. EDM researchers have concentrated on achieving faster and more efficient metal removal rate coupled with a reduction in tool wear and improved surface characteristics. In this paper, the operating performance measures of side flushing type of electrical …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 72–80 Read article
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Geofencing of COVID-19 Center Using the Internet of Things
Abstract: The World Health Organization has declared the outburst of the coronavirus as pandemic in the world. So, this study presents Tracing patients from COVID-19 center using geofencing. The Admin and User modules are the two important ones. Admin may sign in with their credentials. Admin can add, update, delete, view COVID-19 center and can mark fence. Admin can add, update, delete and view COVID-19 status, Fence Logs and room number …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 27–34 Read article
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Dual Nozzle 3D Printing of Basalt Fiber–Reinforced Polymer Composites
Abstract: Additive manufacturing or 3Dprinting involves building a three-dimensional object by layering materials based on a computer-created design. Generally, 3D printing using single nozzle process where as strength, quality, wastage, and post reinforcement are drawback of this system. To eliminate and to enhance strength, precise control of fiber reinforcement, good bonding, no need of secondary reinforcement the dual nozzle 3D printing is an emerging additive manufacturing technique. In this process the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 620–630 Read article
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Toxicological Profiling and Safety Assessment of NASAT 2.0: A Conceptual Framework for Adaptive Nanoparticle Therapy in Rabies
Abstract: Rabies, caused by the highly neurotropic Rabies lyssavirus, remains one of the most enigmatic and universally lethal infectious diseases known to modern medicine. Once clinical symptoms manifest following successful neuroinvasion, the fatality rate approaches absolute certainty (approximately 99.9%), a staggering statistic that has remained largely unchallenged despite massive, concurrent advances in modern virology, critical care medicine, and cellular immunology. Current late-stage therapeutic protocols, most notably the widely debated Milwaukee Protocol, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 · pp. 1–19 Read article
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Machinability Studies of Chrome Steel in Turning Operation: An Experimental Investigation
Abstract: Studies on Machinability aspects are important from the standpoint of optimizing the parameters setting during the machining operations. This paper adds value to the knowledge base of machinability aspects. A report on the experimental investigation conducted, to study the effects of machining parameters on Surface Finish and Material Removal Rate (MRR) during the turning operation is presented. The current experimentation was carried out using two grades of chrome steel namely …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 2, 2016 · pp. 10–18 Read article
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A Comprehensive Review of Analytical Method – Development and Method Validation of Digoxin Tablets
Abstract: The main objective of this review is to give an outline of the method development and validation process of digoxin, and this review covers the different types of spectroscopic and chromatographic techniques, such as HPLC, UHPLC-Tandem mass spectroscopy, TLC, and LC-MS. A novel method for the determination of digoxin in biological samples has been developed and validated, focusing on improving sensitivity, specificity, and reproducibility. The method was validated in terms …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 47–58 Read article
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Literature Review On Nanotechnology In Dentistry
Abstract: Nanotechnology is a relatively new field in dentistry that utilizes nanomaterials, nanorobots, and nanotechnology for diagnosing, treating, and preventing dental diseases. Nanotechnology has revolutionized various fields of dentistry, offering innovative solutions that enhance patient care, improve treatment outcomes, and contribute to the overall advancement of dental science. This cutting-edge technology has found applications in several areas, including restorative dentistry, dental implants, early cancer diagnosis, dental hypersensitivity, and pain management, among …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 · pp. 19–23 Read article