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64 articles for “Dimensional quality”
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Sustainable Advances in Oral Pathology: The Impact of Artificial Intelligence
Abstract: Oral cavity cancers constitute about 4% of all malignant neoplasms. More than 9,900 new cases are reported from the developed countries yearly, and the 5-year mortality rate is higher than 39%. In Europe, the highest rates occur in Hungary, Croatia, and other Central and Eastern European countries; high levels are also seen in India, Pakistan, and Bangladesh. The management of endosseous pathologies presents considerable challenges because they often exhibit no …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 24–27 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Optimization of Machining Parameters on End Milling of Steel Grade EN 8: A Review
Abstract: Nowadays, most of the machining industries are facing a challenge to achieve high quality of product at given time and reasonable price according to customer requirement. The optimization of machining parameters of manufacturing process leads to effective as well as efficient manufacturing. End milling is one of the operations of milling process, which is used to cut horizontal, vertical and inclined profile. So, generated key ways or profile should be …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 8–11 Read article
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Current Developments In 4D Printing Technology
Abstract: The perception of four-dimensional (4D) printing expertise was prompted through the time dimension inclusion in three-dimensional (3D) printing. Many other industries, including engineering, health, and the arts, have revealed a great deal of attention it. Recently, innovations in bioscience have been established that can be implemented using 4D printing. The ability to integrate time with situational variations has many benefits, but perceptibility and adaptability are merely two. Smart material, stimulus, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 108–120 Read article
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An Application of PARETO Chart for Investigation of Defects in FNB Casting Process
Abstract: Casting is one of the widely used manufacturing processes consisting of melting and pouring the metal into the mould to get the desired shape. Furan no-bake system is a binder system consisting of furan resin and acid catalyst. It is a fast growing system due to its excellent surface finish and dimensional accuracy. Although having high dimensional accuracy, many defects arise in FNB casting such as sand inclusion, gas porosity, …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 33–39 Read article
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Design and Development of Additive Manufacturing Machine
Abstract: Rapid prototyping, commonly referred to as 3D printing or additive manufacturing (AM), is the process of creating three-dimensional objects by layer-by-layer addition of material. It is very different from subtractive and conventional forming techniques. The goal of this special issue is to gather research and advancements in additive manufacturing (AM), with an emphasis on novel manufacturing techniques and substitute products and materials for feedstock. Although metal and polymer-based materials have …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Image Preprocessing Techniques
Abstract: ABSTRACTPreprocessing method is an important step, specifically for low-quality picture images. This method is robust to lighting variations and produces images with very little noise and consistent stroke width. The process computes a “surface” of background intensities at every point in the image that performs adaptive thresholding based on this result. The surface is estimated by identifying regions of low resolution text and interpolating neighboring background intensities into these regions. …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 2, 2012 · pp. 20–29 Read article
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A review on Methodology used for Dry Turning of AISI 52100 Steel
Abstract: Bearing steel like AISI 52100 is one of the most widely used high cutting steel in industry for manufacturing of bearing. A large amount of coolant is used for machining at high speed due to which increase there has been a significant increase in environmental hazards. So Green or Dry manufacturing with optimize cutting parameters and its effect on tool material & work piece quality need to be studied to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 467–475 Read article
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Robust Color Image Watermarking using Biometric Protection and Image Authentication Key
Abstract: In recent days, it becomes difficult to provide protection to color images which were captured by modern capturing devices. This paper presents a novel work on copyright protection by providing authentication process for extraction of watermark of color still images. New blind frequency domain non-correlation based watermarking algorithm using one dimensional Walsh coding technique is introduced to improve the robustness. The developed algorithms do not required the original image for …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 15–23 Read article
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Comparing Graphical and Algebraic Methods in Solving Linear Programming Problems
Abstract: Linear Programming (LP) is a fundamental optimization technique widely employed across engineering, manufacturing, transportation, finance, healthcare, and other industrial sectors to support effective resource allocation and informed decision- making. Among the various solution techniques, the graphical and algebraic methods remain the two most fundamental approaches, each offering distinct advantages depending on the complexity and dimensionality of the optimization problem. This paper presents a comprehensive comparative study of these methods by …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 33–43 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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In Silico Identification of Therapeutic Agents for Dengue Virus by Molecular Docking
Abstract: The dengue virus causes serious health issues and a loss of quality of life. Dengue poses a yearly threat to half of the world’s population. The drugs that are based on allopathy are expensive and also exhibit toxic effects on tissues and biological activities. It is also generally accepted that most pharmacologically active drugs, including those derived from medicinal plants, are isolated from natural sources. The present study is directed …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 · pp. 01–14 Read article
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Graphene-Based Electronic Skin for Wearable Health Monitoring and Human–Machine Interaction, Materials, Structures, and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 175–180 Read article
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A Review on Effect of Cryogenic Treatment on Wear Resistant Bearing Materials for Automotive Application
Abstract: Cryogenic processing has come as a successful supplementary process to common heat treatment, especially in improving the wear-resistant performance of materials employed in in-vehicle applications. This sub-zero processing is normally performed following quenching and before tempering, during which materials are subjected to extremely low temperatures, typically around -196°C, for prolonged periods of 24 hours. Cryogenic treatment, which involves subjecting materials to extremely low temperatures, has demonstrated promising results in changing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1–11 Read article
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A Combined Molecular Docking Analysis of The Phytochemicals of Ginkgo biloba against The Parkin Protein Target (Autoinhibited Parkin Catalytic Domain)
Abstract: This study's goal is to evaluate the specific therapeutic targets for Parkinson's disease (PDB ID: 4BM9) using molecular docking simulation and ADME analysis against bilobalide, quercetin, ginkgolide B, and protocatechuic acid (3,4-Dihydroxybenzoic acid). The Protein Data Base was used to extract theprotein's three-dimensional structure, and the PubChem database was used to retrieve the ligands. Using Auto-Dock Tools-1.5.7, a molecular docking simulation of the compounds was carried out. Since none of …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
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Controlled Release Drug Delivery Using 3D Printing Techniques: A Current Scenario In Personalized Medicine
Abstract: Three-dimensional (3D) printing is particularly influencing the pharmaceutical manufacturing sector in the creation of controlled release drug delivery systems. This technology enables the precise fabrication of personalized medicines with tailored drug release profiles, dosages, and geometries, marking a significant advancement over traditional mass production methods. An array of 3D printing techniques, including extrusion-based, powder-based, and others, can be used to build complex dosage forms that regulate drug release through processes …
Published in Trends in Drug Delivery · Vol. 12, Issue 3, 2025 · pp. 28–43 Read article
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Parametric Effect on the Mechanical Property of Extrusion-Based 3D-Printed Parts
Abstract: Material extrusion-based 3D printing, a prevalent and economical approach for producing complex geometries, heavily relies on acrylonitrile butadiene styrene due to its advantageous mechanical properties and dimensional stability. Nevertheless, the mechanical integrity of 3D-printed components is considerably impacted by process variables. This research investigates the implications of critical parameters – layer height (LH), infill percentage (IP), and infill pattern design (IPD) – on the tensile, compressive, and flexural strength of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 160–170 Read article
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Synthesis of low cost artificial sand from fly ash and its application as a filter material
Abstract: The usage of natural river sand is increasing vastly. Geopolymers are materials with three-dimensional alumina silicate structures that have a high mechanical strength and can be used as an alternative to Portland cement. The probability of using Natural river sand can also be replaced with geopolymer synthetic sand. There are many properties which may lead the scarcity of natural river sand they are Because of landslides, tsunamis and erosion. The …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 3, 2022 · pp. 37–46 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