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704 articles for “Reinforcements”
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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Soil Stabilized Road
Abstract: This research examines the suitability of soil-stabilized roadways for light vehicular movement, offering an economical and practical alternative for areas with limited infrastructure development. Stabilizing soil involves improving its engineering properties by incorporating additives such as cement, lime, or other binding materials. Through stabilization, the treated soil can achieve a compressive strength of approximately 5 N/mm², or 500 tonnes per square meter (t/m²), which is sufficient to support loads imposed …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 2, 2025 · pp. 38–42 Read article
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Polymer-Based Nanocomposites: Synthesis, Properties, and Applications
Abstract: Polymer-based nanocomposites have emerged as a highly promising class of materials, offering enhanced mechanical, thermal, and electrical properties. By incorporating nanoscale fillers such as carbon nanotubes, graphene, and metal oxides into polymer matrices, these composites exhibit superior strength, conductivity, and durability compared to conventional polymer materials. Their tunable properties make them highly versatile, with applications spanning multiple industries, including biomedical engineering, electronics, and automotive manufacturing. The synthesis of polymer nanocomposites …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 222–227 Read article
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Red Mud Particles' Impact on the Mechanical Properties and Microstructure of AA6005 Composites for Brake Rotor Applications
Abstract: There is increasing focus on utilizing industrial waste as reinforcement in metal matrix composites, driven by the demand for eco-friendly and cost-effective materials in automotive applications. With an emphasis on their possible use in braking rotors, this study examines how red mud particles affect the microstructure and mechanical characteristics of AA6005 aluminum alloy composites. Red mud, a byproduct of the Bayer process, is a good low-cost ceramic reinforcement because it …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 573–581 Read article
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Investigation of the independent and combined roles of Gr and ZrO₂ on strengthening behaviour of Al-7075 Composites
Abstract: This study investigates the effect of individual and hybrid reinforcements on the mechanical and microstructural behaviour of Al7075 composite fabricated using the 2-step stir-casting technique. Four compositions were made with the base Al-7075, Al-7075 3 weight % ZrO2, and Al-7075 3 weight % Gr as well as a hybrid composite Al7075 with 3 wt.% Gr, 3 wt.% ZrO2. 2-step stir-casting was used to increase the wettability of the particles, decrease …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1060–1075 Read article
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Experimental Investigation of Water Absorption and Mechanical Behavior of Bamboo Fiber Based Polymer Composites
Abstract: The objective of this research is to assess the suitability of bamboo fibers as a sustainable alternative to synthetic and wood fibers for reinforcing polymer composites. Plant-based fibers, particularly bamboo, offer advantages such as biodegradability, lightweight nature, abundance, and impressive mechanical properties that rival or surpass those of conventional materials. In this study, special focus is placed on the extraction of long fibers from Dendrocalamus giganteus, using a combined mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1471–1481 Read article
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Multi Objective Optimization of Aluminium (AA6061-SiC-Flyash) Metal Matrix Composites using TOPSIS Method
Abstract: Metal Matrix Composites (MMCs) have significant interest due to their superior mechanical properties, including improved strength, hardness, and fracture resistance. This study investigates the optimization of the mechanical and fracture behaviour of casted AA6061-SiC-Fly Ash (FA) MMCs using the TOPSIS method. Silicon carbide(SiC) and fly ash (FA) reinforcements, with different weight percentages of 5%, 10%, and 15% were fabricated through sand casting method. Total 10 combinations of composites are prepared …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 459–469 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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Computational Analysis of Leaf Spring System with Functionally Graded Materials Using ANSYS
Abstract: Leaf springs are important parts of a vehicle’s suspension system, and their main function is to absorb shocks, improve stability, and make the ride more comfortable. Traditionally, ASTM A36 steel is used because it is strong, long-lasting, affordable, and easy to get. However, this type of steel is very dense, which makes vehicles heavier. This extra weight makes the vehicle less efficient and increases emissions. Because of these issues, there …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 380–397 Read article
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Mechanical Performance Evaluation of Brachyuran Shell Particle-Infused S-Glass Fibre Epoxy Polymer Composites
Abstract: Epoxy composites bio-filled with brachyuran crab shell powder and reinforced with S-glass fibres at different loadings (2%, 4%, and 6%) are tested for their mechanical properties in this work. Using modest amounts of filler significantly improved hardness, ultimate tensile strength, and flexural strength in the empirical data. The largest increase in hardness was 64.42% at 4% filler, up from 26.22% at 2%; however, there was a dramatic decrease to 13.11% …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 500–507 Read article
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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article
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AI-Driven Prediction of Square-Hole Laser Trepanning Performance in AA7075/15%SiC/15% Glass Fiber Hybrid Composites Using Taguchi–ANOVA and Deep Neural Networks
Abstract: Hybrid AA7075 composites reinforced with 15% silicon carbide (SiC) and 15% glass fiber were fabricated via the stir casting technique to improve machining and structural performance. The addition of dual reinforcements into the aluminum matrix was aimed at enhancing hardness, thermal stability, and surface quality during non-traditional drilling operations. Square-hole drilling was performed using a laser trepanning process, and the key responses—hole size accuracy, surface roughness, and taper angle—were systematically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1932–1943 Read article
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Adaptive Task Scheduling And Resource Optimization Using Ai Middleware
Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that are able to learn, to forecast and reaction to the real red conditions in the system. The middleware of artificial-intelligence is also an attractive …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Development and Comparative Study of Aluminium- Copper Metal Based Composite Through Different Routes
Abstract: The aim of this study is to develop aluminium-copper composite through powder metallurgy technique. Powder metallurgy is an art or technology which can produce exact dimension of final roducts utilizing less energy. Copper oxide (CuO) was used as the source of copper, which was extracted through a reduction process using dextrose. The reaction was thoroughly examined and reported. Commercially available aluminium powder served as source of the aluminium. Aluminium- copper …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 19–32 Read article
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Performance Based Seismic Evaluation of G+12 RCC Structures in Seismic Zone IV with and without Corner Shear Walls Considering Soil Types I, II, and III
Abstract: Seismic behavior of multi-storey buildings is significantly influenced by structural stiffness and supporting soil conditions. This study investigates the seismic response of a G+12 reinforced concrete building by comparing two structural configurations, namely buildings with shear walls and buildings without shear walls, under three soil conditions: Type I, Type II, and Type III soils. The analysis is carried out using the response spectrum method in accordance with IS 1893 (Part …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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Autonomous 6G Physical Layer Architectures for Space-Air-Ground Integrated Networks
Abstract: The emergence of sixth generation (6G) wireless systems calls for a significant shift away from conventional deterministic communication models. As communication infrastructures evolve into Space- Air-Ground Integrated Networks (SAGIN), traditional physical layer (PHY) techniques struggle to operate effectively under the severe Doppler effects and long propagation delays associated with space environments. This paper examines the role of artificial intelligence embedded directly within the 6G transceiver architecture to enable ultra-reliable and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Recent Advances in Hybrid Polymer–Cement Composites: Interfacial Engineering, Self-Curing Mechanisms, and Microstructural Performance
Abstract: The increasing demand for high-performance polymer-modified cementitious composites has stimulated extensive research into hybrid self-curing composite systems with engineered aggregate phases. Self-curing hybrid polymer–cement composite systems, using recycled aggregates, constitute one of the solutions proposed by researchers to overcome problems related to moisture loss during the curing process, shrinkage, cracking, and the limited amount of natural aggregate available. This critical review provides an overview of recent developments concerning the production, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article