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156 articles for “precision rate”
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Systemic Lupus Erythematosus Revisited: A Milestones in Classification, Mechanistic Insights on Pathogenesis, Diagnosis, and Evolving Treatment Paradigms
Abstract: Systemic lupus erythematosus (SLE) is a prototypic, multi-systemic chronic inflammatory autoimmune disorder characterized by extreme clinical heterogeneity and the potential to involve virtually any organ or tissue. The condition is driven by a fundamental breakdown in immune tolerance, resulting in the overproduction of pathogenic autoantibodies and the formation of immune complexes that precipitate widespread inflammation and organ damage. This review aims to provide an exhaustive synthesis of recent developments in …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Photochemically Assisted LC–MS Method Development and Validation for Stability-Indicating Determination of Glasdegib in Rat Plasma
Abstract: A simple, precise, and cost-effective LC–MS method was successfully developed for the determination of Glasdegib in rat plasma. The method optimization was carried out by systematically varying key chromatographic parameters, including flow rate, injection volume, analyte concentration, and mobile phase composition, to achieve optimal sensitivity and resolution. A C18 Hypersil BDS column (150 mm × 4.6 mm, 3.5 µm particle size) was used for chromatographic separation, offering effective peak shape …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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A Concurrent Estimation of Phytoconstituents Piperine, Quercetin and Kaempferol Present in Siddha Polyherbal Formulation Kabasara Kudineer by Rp-Hplc
Abstract: A straightforward, accurate, and precise technique was developed and validated for the simultaneous determination of Quercetin, Kaempferol, and Piperine in the polyherbal formulation Kabasura Kudineer. The sample was chromatographed using a C18 column (150x4.6mm, 5u) with a mobile phase composed of Acetonitrile and Ortho phosphoric acid in a 45:55 ratio, flowing through the column at a rate of 1ml/min. The detection wavelength for Quercetin, Kaempferol, and Piperine was set at …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 1–9 Read article
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Study of Contact Temperature During Polishing of Zinc Plate with Ultrasonic Vibration Using Single Pole Magnetic Abrasive Finishing
Abstract: The present work scrutinizes the impact of ultrasonic vibration on the contact temperature during polishing zinc plates with Single Pole Magnetic Abrasive Finishing (SPMAF). The efficacy and eminence of FMAB finishing are pointedly influenced by heat generation at the interaction point, as raised up temperatures can lead to the deprivation of abrasive elements or the bonding material inside the brush, which leads to the fading its overall effectiveness. The magnetic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1239–1247 Read article
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Influence of EDM Process Parameters on MRR and TWR on Mild Steel and Cast Iron using Taguchi’s Method
Abstract: An alternative to conventional machining methods, Electrical Discharge Machining (EDM) uses electrical current for generating controlled sparks that erode surface of the material through thermal energy. Unlike traditional cutting processes, hard and electrically conductive materials with high precision can be machines very easily, which make it suitable for applications in tool and die manufacturing, aerospace, and automotive industries. Tool Wear Rate (TWR) and Material Removal Rate (MRR) for mild steel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 614–627 Read article
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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Investigation on Torque and Thrust Forces in Radial Drilling of Copper Alloys
Abstract: As a part of research over improvement of machining process; cutting forces, metal removal rate (MRR) and surface finish on mechanical elements has become quite significant in the operational and aesthetical point of view. To enhance accuracy and precision by adopting energy saving techniques, manufacturing firms are adopting automated systems in order to achieve manufacturing excellence. In the present work, the effect of various process parameters like spindle speed, feed, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 2, 2016 · pp. 6–19 Read article
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Impact of Advanced Reinforcement Materials, Precise Plasticizer Utilization, and Thorough Processing Condition Optimization
Abstract: Material science is always changing, which has led to improvements in processing methods, plasticizers, and strengthening materials. These changes have led to new ideas in many fields. This abstract looks at how using advanced strengthening materials, exact plasticizer use, and thorough processing condition optimization can work together to make polymer-based materials perform better and have better qualities. When it comes to improving the dynamic qualities of plastics, reinforcement materials are …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 73–86 Read article
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Optimization of Machining Parameters of EN-27 Material Using Wire Electric Discharge Machining (WEDM)
Abstract: The optimization of Wire Electrical Discharge Machining (WEDM) parameters for EN-27 alloy steel, a high-strength material widely utilized in mechanical and structural applications, is the subject of this study's methodical analysis. Due to its hardness and poor machinability by conventional methods, WEDM is preferred for achieving precise dimensional accuracy and surface integrity. The primary objective of this work is to enhance machining performance by identifying optimal process parameters influencing Material …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 32–36 Read article
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Optimization of Process Parameters for AISI 304 Using Micro-EDM Drilling Process Through Response Surface Method
Abstract: The increasing demand for micro-parts in high-tech products, such as micro-electromechanical systems (MEMS) applications and micro-electronic devices, has driven significant advancements in micromachining technologies. Among the various micromachining processes, the fabrication of accurate microholes and pins is critical for the performance and reliability of miniature components. Micro-hole drilling plays a vital role by enabling the production of deep holes with excellent straightness, roundness, and surface quality. It is widely used …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 37–47 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 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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Thermo-Responsive Polymer Blends for Minimally Invasive Medical Procedures
Abstract: Thermo-responsive polymer blends have become a key new class of biomaterials for the minimally invasive medical procedure. They offer precision, flexibility and greater patient safety. These smart materials undergo a change of physical/ mechanical properties relative to temperature difference in the body, limiting tissue trauma and increasing effectiveness of the procedure. Their adjustable sol-gel behavior, shape-memory effects and reversible volume change provides an opportunity for their precise delivery through catheters, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Robust Control System for Missiles in the Presence of Uncertainty and Disturbances: A Comprehensive Review
Abstract: In today's warfare and defense systems, when precise and quick maneuvering is essential for mission accomplishment, missiles play a critical role. Nonetheless, the intricacy of missile dynamics by itself, combined with external disruptions and unpredictabilities in operational circumstances, provides challenging but ambitious conditions for achieving precise trajectory tracking and robust flight control. Missiles perform in highly dynamic and uncertain environments where factors such as aerodynamic disturbances, various atmospheric conditions, and …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Parkinson’s Disease Detection on Spiral Images Using CNN with Meta-Classifiers
Abstract: In this work, we provide a detailed method for identifying Parkinson’s Disease (PD) by integrating Convolutional Neural Network (CNN) and meta-classifiers. Through the utilization of a varied dataset consisting of handwritten spiral images, our methodology demonstrates commendable accuracy across a range of models. Specifically, our CNN model with meta-classifiers surpasses alternative approaches, achieving an impressive accuracy rate of 95.07%. By utilizing pre-established VGG16 and ResNet50 architectures as bases, the region-based …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 55–66 Read article
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Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback
Abstract: This article focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients' needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item's nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 59–83 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Electrical Discharge Machining for Precision Metal Working Industries
Abstract: EDM is called as Electrical Discharge Machining. Otherwise called as Spark Erosion Machining, Electro-Erosion Machining, Spark Machining, and Electro Discharge Machining. It is an unconventional machining process to machine hard metals and alloys. EDM has been a significant machining technique. The electrode, work piece materials, dielectric, and the range of pulse rate, current, and voltage make up the basic EDM process. The dielectric serves the following purposes: it transports removal …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 2, 2023 · pp. 7–11 Read article