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38 articles for “DT”
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Synthesis of YSZ nanopowders by using PVA-metallic nitrate combustion method
Abstract: Yttria-stabilized zirconia (8YSZ) powder is widely used as a thermal barrier coatings material for various aeronautical gas turbine engine components and structures operating in high temperature environment as well as for the nozzle of solid rocket engine due to its relatively high thermal expansion coefficient, thermal reflectivity, low thermal and good corrosion resistance. The synthesis of single or composite metal oxides by combustion of metal-polyvinyl alcohol gel precursors (Me-PVA) has …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 24–32 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Recent Advances in Transition Metal Complexes with Phenyl Acetic Acid and Pseudo Halogen: Synthesis, Characterization and Applications
Abstract: A well established strategy is to introduce a biologically relevant organic molecule in coordination sphere of transition metal complexes to increase the selectivity and biocompatibility. Phenylacetic acid (PAA), an organic molecule with a phenyl functional group and a carboxylic acid functional group, is a phenylalanine that is generated from the naturally occurring auxin, which is extensively present in plants. The most promising outcomes in the battle against cancer and microbes …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 68–78 Read article
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Synthesis and Study of Photoluminescence properties of Sm3+ activated 7TiO2 + 3Al2O3 + (60-x)B2 O3 +xY+ 5LiCO3 +25SrCO3 Borate Glass for SSL Applications
Abstract: Melt quenching was used to successfully create the raddish orange light-emitting Sm3+activated 7TiO2 + 3Al2O3+ (60-x) B2O3+xY+ 5LiCO3+25SrCO3 (X=0.001, 0.002, 0.005, 0.01 and 0.02, Y=Sm3+) borate glass. XRD examination confirmed the phase of the prepared Un-doped and Doped 7TiO2 + 3Al2O3+ (60-x) B2O3+xY+ 5LiCO3+25SrCO3 glass. Its PL characteristics under ultraviolet (UV) light (302-468 nm) were later studied. At 602 nm, the excitation was detected, and at 402 nm, the emission. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 55–60 Read article
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Textual Clues to Stress: A Machine Learning Approach
Abstract: Nowadays, numerous individuals utilize social media platforms to share tweets about their daily lives, which often reflect their mental well-being. Recognizing and managing stress is essential before it becomes a serious issue. Each day, a significant volume of informal messages is posted on discussion forums, blogs, and social networking sites. This study introduces a method for detecting stress using information gathered from social media, with a focus on Twitter. The …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 72–76 Read article
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Optimization Of Mechanical Properties Of 500/7 Grade Ductile Cast Iron (DCI) By Using SMAW: Applications In Reinforced Composites And Thermoplastics Through Taguchi & GRA
Abstract: Welding, a critical manufacturing process, is broadly engaged to join metals and thermoplastics using heat, pressure, or both. This study inspects the Shielded Metal Arc Welding (SMAW) method to optimize welding parameters and improve the mechanical properties of Ductile Cast Iron (DCI) grade 500/7, a material widely used in high-strength and thermal conductivity applications in aerospace and automotive sectors. Using an L9 OA (orthogonal array), experiments were conducted on nine …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 204–222 Read article
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Bibliometric Analysis of TNAI’s The Nursing Journal of India, 2014-2023
Abstract: Since 1910, the Nursing Journal of India of TNAI has been playing a vital role in scattering of information and knowledge in various aspects of nursing and allied health care. This bibliometric (statistical) analysis is based on only 443 citing articles in English languages which are published in this Journal in 10 volumes (2014-2023). Out of total, 442 papers are under personal and one under corporate authorship. This study shows …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 1–17 Read article
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Wettability and Physiothermal Analysis of Silver-Reinforced Eggshell-Derived Hydroxyapatite Based Biocomposite
Abstract: Hydroxyapatite (HAp), a biocompatible ceramic material, has garnered significant interest in medical applications due to its natural bone type replica. The current study investigates the physical, wettability, and thermal properties of a novel HAp derived from eggshell waste and reinforced with silver nanoparticles at 0.0, 0.1, 0.2 and 0.5 weight % concentration using chemical precipitation method and termed as HAP0.0Ag, HAP0.1Ag, HAP0.2Ag and HAP0.5Ag respectively. As observed, the Fourier transform …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 300–314 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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Kinetics of Crystallization and Microstructural Evolution of Commercial Fluorophlogopite Machinable Glass- Ceramics in the System SrO∙4MgO∙Al2O3∙ 6SiO2∙2MgF2 with Varying in B2O3
Abstract: Glass materials based on fluorophlogopite stoichiometry with varying concentrations of B₂O₃ were synthesized using the melt-casting method, followed by heat treatment at different crystallization temperatures. The resulting glass and glass–ceramic samples were characterized using differential thermal analysis (DTA), scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared (FT-IR) spectroscopy. Kinetic analysis revealed that the activation energies required for the formation of glass–ceramics were 192.77 kJ mol⁻¹ and 210.47 kJ …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 1–16 Read article
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Thermal Stability and Impact Performance of Basalt–Carbon Hybrid Laminates in Polyimide–Phenolic Matrices
Abstract: The impact resistance and thermal stability of the advanced polymer composites are properties that are necessary for the components that are subjected to dynamic conditions, which show the overall reliability and service performance of the laminates applied in automotive structures, protective casings, etc. These properties prevent premature softening or breakdown during long-term exposure to heat. Impact resistance and thermal stability of composite laminates are studied based on fiber orientation and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 247–260 Read article
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A Review on Digital Twin Technology in Robotics
Abstract: Digital Twin (DT) technology has emerged as a transformative concept in robotics and automation, enabling virtual representation of physical systems, real-time monitoring, and performance optimization. This review explores the foundations of Digital Twin, its integration in robotic systems, key enabling technologies, applications, current challenges, and future research directions. The paper concludes by highlighting how Digital Twin transforms design, control, prediction, and human-robot collaboration.Digital Twin technology is transforming the field of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 10–15 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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Thermal and Microstructural Evaluation of Natural-Glass Fiber Hybrid Composites: Sustainable Alternatives to Synthetic Materials
Abstract: The scope of engineering requirements for composite materials, which mix features from several elements engaged in engineering applications to enable greater performance, cannot be adequately understood in this way. The most recent of these materials are hybrid composites, which combine synthetic and natural fibers, particularly glass fibers, and are anticipated to create new, promising materials in terms of their ties to cost, performance, and consistency. From the perspective of their …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1275–1285 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article