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212 articles for “accuracy parameter”
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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Evaluation on the Mechanical Strength of TIG Welded 6061Aluminium Alloy Joints
Abstract: Aluminum alloy Al-6061 is extensively used in aerospace, automotive, and marine industries due to its excellent mechanical properties, lightweight nature, and corrosion resistance. However, welding this alloy presents challenges such as porosity, hot cracking, and strength reduction in the heat-affected zone (HAZ). Tungsten Inert Gas (TIG) welding, known for its precision and quality, is commonly employed for joining Al-6061. This study investigates the tensile strength of TIG-welded butt joints of …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Application of Statistical Method to Determine Lithium Battery Capacity for Electric Vehicles
Abstract: In this paper, an empirical method, based on statistical analysis, is proposed to determine correction factor for Li-Po battery capacity calculation. The method uses statistical analysis for the estimation of the battery capacity, using a capacity correction factor previously determined. The method takes into account the effects that the discharge current has on (the) battery capacity. The method has been tested in two types of lithium batteries, Li-ion and LiPo …
Published in Journal of Automobile Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 25–35 Read article
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Investigations on Effect of Cutting Forces and Surface Finish in Plain Milling Using Box Behnken Design
Abstract: Nowadays research over improvement of machining process as a part of it cutting forces and surface finish on mechanical elements has become quite significant in the operational and aesthetical point of view. To enhance accuracy and precision, 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, and depth of cut on the cutting …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 3, Issue 1, 2016 · pp. 17–30 Read article
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Early Fault Diagnosis of Vehicle EGR System Based on Support Vector Machine Technique
Abstract: It has been a challenge to the automotive world to manufacture the smart vehicle components that contribute to the performance of vehicle operations to adhere due to strict vehicle emission norms. In this context, engine operations need to carry systematically, which helps to maintain the function of the vehicle emission system properly. Now a day’s electronic sensors are playing a vital role in smarter vehicle component operation. In-vehicle exhaust gas …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 3, 2021 · pp. 1–11 Read article
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Numerical simulation and Artificial neural network illustration of phase-change material integrated into lattice structures printed in 3D
Abstract: This work examines the phase change material (P.C.M.) deposited in various lattice formations—such as “S.C., B.C.C., and F.C.C”.—at varied characteristics. The test concentrates on comprehending heat transport properties and thermal activity throughout the “melting and solidification processes”. The heater's maximum temperature, P.C.M. “melting and solidification”, and Nusselt number are among the essential factors examined. According to the findings, the heater's maximum temperature drops as porosity increases. Although the Nusselt values …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 175–183 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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UV Method of Development and Validation of Olaparib
Abstract: An analytical method must be developed and validated in the discovery, development, and production of pharmaceuticals to ensure the identification, purity, potency, and performance of drug commodities. Quality control laboratories use official test protocols that emerge from the processes. A simple ultraviolet spectrophotometric approach was designed and validated using various characteristics, including linearity. Precision, reproducibility, accuracy, robustness, ruggedness, limit of detection, and limit of quantification are among the measuring criteria. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 20–27 Read article
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Biopolymer–Cement Hybrid Panels from Recycled Paper Mill Reject: Experimental Characterisation and Machine Learning Optimization
Abstract: The increased rate of the accumulation of industrial residues in the developing countries is a major cause of concern for the environment. The current study brings forth the use of industrial residues in the form of the production of eco-friendly building materials as a sustainable approach to their valorization. The valorization of recycled paper mill reject, a cellulose-based biopolymeric industrial residue, is being addressed in this study as a reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 67–90 Read article
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Exploring the Influence of SS 316L Nanoparticle Integration on the Flexural Strength of PMMA
Abstract: In the present study, a nano composite PMMA was prepared with the help of hot plate magnetic stirring and probe sonication at different loading conditions of nano sized reinforcement material SS 316L. In order to study the effect of independent factors (the amount of reinforcement material, stirring speed, and sonication time) on response variable (flexural strength), the central composite experimental design of response surface methodology (RSM) was utilized. The analysis …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 75–83 Read article
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Calculation Method for Determining the Gas Flow Rate Needed for Liquid Removal from the Bottom of the Wellbore
Abstract: As a result of flooding and accumulations of liquid at the bottomholes, the operating conditions of gas wells become complicated, so that they end up self-squeezing and losing of gas production. A method is proposed for determining the technological parameters of operation of the gas wells with the purpose of removing liquid from the bottom of the wells. Data from the gas dynamics and special studies were used to develop …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 2, 2021 · pp. 1–8 Read article
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AI-Driven Dairy Ledger: Enhancing Efficiency with Machine Learning
Abstract: The dairy business nevertheless has ongoing difficulties with financial management, record-keeping, and operational effectiveness, which frequently lead to resource mismanagement, human mistakes, and revenue losses. These problems are most noticeable on small- to medium-sized farms where manual labor is the primary method. This study introduces an AI-driven Dairy Ledger, a complete machine learning-powered system designed to automate and optimize key dairy functions, such as tracking cow feed orders, managing milk …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 36–46 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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Digital Twin-Driven Structural Health Monitoring and Energy Management of IoT-Enabled Energy-Storing Polymer Composites Using Explainable Machine Learning
Abstract: Energy storing polymer composites are widely utilized in intelligent structural systems, because of their mechanical and electrochemical properties. But, under varying thermo-mechanical and environmental conditions, it is important to have accurate degradation monitoring for real-time industrial process is challenging. In this work, an explainable machine-learning framework for structural health monitoring and adaptive energy management of polymer composites with energy storage capacity is proposed in an IoT environment with the help …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Comparative Analysis of P, PI, and PID Controllers Based on Time Domain Specifications
Abstract: In this research, proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID) controllers utilized in control systems are thoroughly compared. The study attentions on assessing system presentation with time-domain specifications such as rise time, settling time, overshoot, and steady-state error. Mathematical modeling and controller design are discussed, shadowed by analytical comparison. The results establish that while P and PI controllers offer simplicity, PID controllers provide superior performance in terms of stability and …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Development and validation of a method for simulataneous determination of tenovifir disoproxil fumarate emtriculabine and isonized in bulk and pharmaceutical dosage form using RP-HPLC with relevance to toxicological aspects
Abstract: Hence, proposed analytical methods are simple, novel, economical, rapid, sensitive, reproducible and accurate for the Simultaneous estimation of Tenofovir Disoproxil Fumarate, Emtricitabine and Isoniazid in Bulk and Phamaceutical dosage form by using RP- HPLC. This Method gives reliable assay results with short analysis time using mobile phase of Acetonitrile : 0.02M Potassium Dihydrogen Orthophosphate: water (pH 5.3) in the ratio of 60: 25: 15 respectively. Retention time was found to …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 17–25 Read article
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Comprehensive Overview of Analytical Chemistry: Principles, Techniques, and Method Validation
Abstract: Analytical chemistry constitutes a vital discipline within the realm of scientific inquiry, facilitating the identification and measurement of components present in diverse substances and mixtures. This paper delineates the principles, methodologies, and applications of analytical chemistry, focusing on spectroscopy and chromatography techniques. Spectroscopy, including UV-Visible spectroscopy, elucidates molecular properties by analysing the absorption of electromagnetic radiation, while chromatography enables the separation of compound mixtures based on differential affinities to stationary …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 14–21 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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Developing an Assessment Protocol in Ayurvedic Research for Hyperemesis Gravidarum with Special Reference to Garbhini Chardi
Abstract: Garbhini Chardi (nausea and vomiting in pregnancy) is described in Ayurvedic texts as one of the Vyakta Garbha Lakshanas – early physiological signs indicating pregnancy. However, when this symptom becomes excessive, persistent, or distressing, it may transition from a normal event to a pathological condition, requiring timely intervention to safeguard maternal and fetal health. In advanced stages, it leads to day-to-day incapacitation, weight loss, dehydration, and metabolic disturbances – clinically …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 44–61 Read article
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Image Registration–Implementation and Performance Analysis using Log-polar Transformation
Abstract: This paper presents an image registration algorithm for affine motion recovery. The images which are to be registered may be misaligned due to rotation, scale and translation the algorithm presented in the paper estimates affine transformation parameters to register this images. The parameters are computed using a variation of the Levenberg-Marquadt nonlinear least squares optimization method in a coarse-to-fine hierarchical framework. To precisely registers images with subpixel accuracy this method …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 49–55 Read article