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719 articles for “Engineering optimization”
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An Enhanced Application Oriented Predictive Analytic using Optimal Deep Learning Model
Abstract: In order to presents better Predictiveanalytic models of different data using various machine learning algorithms. The data prediction is developed on various applications. These applications are facing many challenges while collecting data and data selection etc. The proposed prediction model involves several phases like (a) Data acquisition, (b) Data cleaning, (c) Data normalization, (d) Optimal Feature selection, and (e) Prediction. The optimal feature selection will be accomplished by a new …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 5–10 Read article
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A Review on Advancements and Challenges of Catalytic and Non-Catalytic Waste Water Treatment Processes
Abstract: AbstractClean drinking water is a basic amenity to be ensured for all. As water resources are becoming increasingly scarce due to the rising imbalance between freshwater availability and consumption and many of the water resources are polluted by anthropogenic sources such as industrial, agricultural waste and household, therefore, treatment of wastewater remains a critical need before leaving it to natural water streams. Traditional wastewater treatment processes include filtration, adsorption, activated …
Published in Journal of Water Pollution & Purification Research · Vol. 6, Issue 1, 2019 · pp. 24–36 Read article
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Correlation Between XRD Analysis and Mechanical Characterization Using Lens Manufactured Specimens Based on IoT Sensors
Abstract: The advent of the Internet of Things (IoT) has enabled the seamless integration of sensors into the manufacturing process, facilitating the collection of real-time data for analysis and optimization. The correlation between X-ray diffraction (XRD) analysis and mechanical characterization is investigated using specimens manufactured through the Laser Engineered Net Shaping (LENS) technique. The study focuses on three different materials: brass, SS202, and SS304. XRD analysis is employed to determine the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 41–58 Read article
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Enhancing Mechanical Properties by Parameter Optimization in Fiber and Particle Reinforced Composites
Abstract: This research focuses on optimizing the mechanical and thermal properties of hybrid fiber and particle-reinforced composites through systematic parameter optimization using the Taguchi method and Grey Relational Analysis (GRA). Composites were fabricated using varying fiber volume fractions (20%, 30%, and 40%), particle sizes (20 μm, 60 μm, and 100 μm), and curing temperatures (60°C, 80°C, and 100°C) in a 3-factor, 3-level experimental design. Key properties such as tensile strength, impact …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 75–85 Read article
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Squeeze Casting of Hybrid Aluminum Matrix Composites: A Critical Review of Process Optimization, Reinforcement Strategies, and Performance Outcomes
Abstract: Increasing demand for lightweight, performance-oriented components in automotive, aerospace, and defense industries has driven advancements in squeeze casting, a hybrid technique merging forging and die-casting advantages to produce near-net-shape aluminum matrix composites (AMCs) with superior mechanical-tribological properties. This review critically examines the interplay of process parameters (e.g., squeeze pressure: 70–150 MPa, melt temperature: 650–800°C), reinforcement characteristics (volume fraction ≤10%, particle size: 10–71µm), and interfacial engineering strategies (flux-assisted bonding, ultrasonic dispersion) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 52–60 Read article
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Advancing Gene Therapy: Next-Generation Viral Vector Engineering for Precision, Safety, and Scalability
Abstract: Gene therapy has emerged as a paradigm-shifting modality for the treatment of genetic disorders, malignancies, and rare diseases through the delivery of therapeutic nucleic acids aimed at correcting or modulating dysfunctional gene expression. Among the various delivery systems, viral vectors including adeno-associated viruses (AAVs), lentiviruses, adenoviruses, retroviruses, and herpes simplex viruses have proven indispensable owing to their high transduction efficiencies and adaptability. This review offers a comprehensive assessment of viral …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 37–55 Read article
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Optimization of Liquid Metal Nanocomposites and Biogas Addition Rate Using ANN-GA
Abstract: In this study, the liquid metal nanocomposites were investigated using artificial neural network (ANN) prediction capabilities for Compression Ignition (CI) engine performance. The independent input variables selected were load (20-100%), Liquid-metal nanocomposites Doped Rate (NDR, 0-50 ppm), and Biogas Flow Rate (BFR, 0.5-1.0 kg/h). The Central Composite Face-Centered Design (CCFCD) was used in conjunction with the selected input variables and output parameters to assist in the preparation of the Design …
Published in Journal of Polymer & Composites · Vol. 11, Issue 11, 2023 · pp. 12–27 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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Advancements in Engine Oil Durability, Performance, and Diagnostics
Abstract: The depletion of fossil fuels and environmental concerns have driven the search for alternative fuels and enhanced lubricants. This article explores advancements in machine oil durability, focusing on vegetable oil modifications, synthetic lubricants, and diagnostic methods for marine engine oils. A study comparing Karanja oil blends with mineral diesel in direct injection compression ignition engines revealed comparable wear characteristics and reduced metallic debris for Karanja oil-fueled engines. Investigations on synthetic …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 39–45 Read article
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Rheumatoid Arthritis and Stem Cell Therapies Perspectives for It
Abstract: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by systemic inflammation, primarily affecting synovial joints, leading to joint destruction and systemic complications. The pathogenesis involves immune system dysregulation, autoantibody production, and enzymatic imbalances. Enzymes, including matrix metalloproteinases (MMPs), serine proteases, and kinases, play crucial roles in these processes. Their dysregulation contributes significantly to disease progression through the imbalance of pro-inflammatory cytokines, oxidative stress, and extracellular matrix (ECM) degradation. MMPs, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 10–14 Read article
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An Analytical Study on Learning Difficulties in Estimation Theory Among Undergraduate Engineering Students
Abstract: Estimation Theory is a critical mathematical foundation for all engineering disciplines, enabling learners to model uncertainty, analyse signals, and derive optimal estimators. However, undergraduate students frequently struggle with its abstract properties, complex derivations, and prerequisite statistical concepts. This study investigates the key learning difficulties faced by students across multiple engineering branches using diagnostic tests, structured questionnaires, and interviews. The findings reveal that students commonly experience challenges related to weak probability …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 37–41 Read article
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Analysis of an Extradosed Bridge with Single Plane Cable System
Abstract: The extradosed bridge is a bridge that combines elements of a cable-stayed bridge and a prestressed concrete box-girder bridge. This innovative design offers several advantages, including improved aesthetics, reduced construction costs, and enhanced durability. The extradosed cable system provides additional support to the bridge deck while maintaining a lower overall height compared to traditional cable-stayed bridges. This feature makes extradosed bridges particularly suitable for environments where height restrictions are a …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 25–31 Read article
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Innovating Sustainably: The Role of Generative Design in Sustainable Technology Development
Abstract: As industries strive for sustainability, generative design has emerged as a transformative approach in engineering, offering solutions that minimize environmental impact while optimizing product performance. Based on established features, including material, size, weight, and performance standards, generative design generates an immense amount of design options using machine learning and artificial intelligent algorithms. Unlike traditional design, which relies on human intuition, generative design automates the exploration of solutions, ensuring material efficiency, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 39–45 Read article
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Rainfall Forecasting Using Optimized Support Vector Regression Technique
Abstract: Abstract—Rainfall prediction has been an important area of research in the field of hydrology. In this article an attempt is made to apply Support vector regression (SVR) in annual rainfall forecasting and comparing its performance with other models like Random forest regression (RFR) and Artificial Neural Network (ANN) model. This study proposes an approach by combining grid search technique with SVR model. Grid search technique carefully tunes the SVR’s hyper …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 2, 2019 · pp. 29–33 Read article
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Virtual Tooling Development and Tooling Cost Estimation for Sand Casting
Abstract: Casting is a major manufacturing process. It requires an understanding of a wide range of geometrical, material and process parameters. For producing cost effective casting, in today's market of intense competition, where the need of the hour is to develop quality products at low cost and short lead time, innovative and cost effective designs are the means to success. Early cost estimation, necessary for design-to-cost philosophy, serves as a decision …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 59–66 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Advancements in Molecular Engineering: Innovations at the Nexus of Chemistry and Technology
Abstract: Molecular engineering, a frontier of chemistry, merges precision and innovation to design and assemble molecular structures with unprecedented control. This abstract explores recent advances, highlighting key breakthroughs and their transformative impacts. Starting with its roots in chemical synthesis and materials science, it traces the evolution towards rational design driven by computational tools and advanced characterization techniques, enabling tailored molecular architectures. A focal point is programmable molecules, where DNA nanotechnology principles …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 37–43 Read article
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Review paper on concrete mix design optimization using machine learning based algorithm
Abstract: Concrete is an essential part of most construction works in civil engineering. The mix design of concrete is usually specified in terms of prescription or performance-based approach. One of the most important procedures is proportioning the concrete mix, which requires taking several safety precautions to get the proper amounts of elements like cement, aggregate, water, and admixtures. The current study offers a thorough analysis of the Artificial Neural Networks (ANN) …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 311–320 Read article
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Graph Theory: Its Importance and Application in Recent development of Science and Engineering
Abstract: Graph Theory is widely used in all the basic sciences including social science, due to its intrinsic simplicity it has got a lot of application in computer science, computer networks, engineering, genetics, data structure etc. Graphs are nothing but mathematical structure that helps in representing our everyday problem in a precise graphical manner. Graph Theory is the area of applied mathematics that deals with the study of objects and the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 3, 2023 · pp. 31–36 Read article