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813 articles for “real-world”
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Modeling Deformation Mechanisms of Horseshoe Tunnel Excavation In Layered Ground Using Flac 3D
Abstract: In the modern era of civilization, the transportation sector plays a pivotal role in a nation's development. Efficient transportation networks are essential for economic progress, and tunnels are particularly valuable in this regard, as they help reduce travel time and fuel consumption. With growing interest in underground infrastructure, researchers are increasingly focusing on tunnel-related studies. This paper examines the deformational behavior of a horseshoe-shaped tunnel constructed in layered soil, subjected …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 3, 2025 · pp. 46–61 Read article
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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article
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Influence of Mechanical Parameters on Corrosion Behavior of Metal Coupons in Simulated Environmental Conditions
Abstract: This study investigates the influence of mechanical parameters—namely applied stress, surface roughness, and deformation history—on the corrosion behavior of metal coupons exposed to corrosive environments. Mild steel and aluminum alloy specimens were prepared with controlled variations in tensile stress, polishing grades, and cold-working levels to simulate real-world mechanical influences. These coupons were immersed in a 3.5% NaCl solution under ambient conditions, and their corrosion rates were monitored over a 30-day …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 6–12 Read article
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Phase – Field Modeling of Brittle and Ductile Fracture Under Complex Loading Conditions
Abstract: Phase-field modeling has emerged as a powerful computational framework for predicting fracture behavior in engineering materials, offering a unified description of crack initiation, propagation, branching, and coalescence without the need for explicit crack tracking. This study presents an in-depth examination of phase-field modeling applied to both brittle and ductile fracture under complex loading conditions, including multiaxial stress states, cyclic loading, thermal gradients, and dynamic impact. The phase-field approach regularizes the …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 13–18 Read article
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Thermal Analysis of Natural Fiber and Hybrid Composites
Abstract: This study examines how natural fiber and hybrid composites reinforced with natural and glass fibers perform under thermal conditions specifically, the effects of temperature that are common in automotive and aerospace environments. To evaluate their behavior, the composites were tested at two elevated temperatures, 60°C and 70°C. Mechanical tests such as tensile and impact were conducted to simulate real-world operating conditions and assess how thermal, and moisture exposure influence the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1173–1196 Read article
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Experimental Analysis of Glass Fiber Composite on Low Velocity Impacts
Abstract: This research specifically deals with determining the retained tensile strength after loading Glass Fiber Reinforced Polymer (GFRP) composites following low-velocity impact. The purpose is to determine the degree to which these impacts affect the structural performance and mechanical integrity of GFRP materials. Experimental tests were conducted on glass fiber composite specimens in order to observe variation in tensile strength upon impact. The results indicated significant tensile strength reduction in impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 789–796 Read article
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A Study on Tensile Characterization of Polypropylene Reinforced with Recycled Epoxy Particles
Abstract: Polypropylene is a thermo plastic, tensile properties of polypropylene are crucial in the real world applications as they determine structural integrity and durability. Epoxy is a thermosetting plastic finds applications in various fields like aerospace, automobile, food packing etc. A major concern is the disposal of epoxy composites after their service life, since most of the waste is sent to landfills, causing land pollution and soil infertility. In this experimental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 221–237 Read article
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Advancing Pavement Durability and Sustainability through Glass Fiber Reinforced Concrete Technology
Abstract: This research evaluates the application of Glass Fiber Reinforced Concrete (GFRC) for improving road pavement durability and sustainability. The primary objective was to ascertain the optimal glass fiber content that enhances pavement performance while maintaining economic feasibility. To achieve this, experimental investigations compared the mechanical properties of GFRC to traditional Portland Cement Concrete (PCC). The experiments focused on key performance metrics such as tensile, compressive, and flexural strengths, with GFRC …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 760–774 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 41–52 Read article
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ML-Driven Optimization Framework for the Analysis, Design, and Development of Efficient Wireless Power Transfer Systems for EV Charging
Abstract: The fast uptake of electric vehicles (EVs) has heightened the necessity of effective, dependable and convenient charging systems. The Wireless Power Transfer (WPT) systems can be taken as a potential solution as they allow charging cells without contact, without any risks, and without any overcrowding; the efficiency of the system is strongly influenced by the alignment of coils, the fluctuations of air-gaps, the conditions of the loads, and geometrical arrangements …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article
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A Study on Artificial Intelligence in UI/UX Design
Abstract: User interface/user experience (UI/UX) design plays a crucial role in shaping how users interact with and perceive digital platforms, as it directly influences usability, satisfaction, and overall engagement. In today’s rapidly advancing technological era, artificial intelligence (AI) has emerged as a transformative force across multiple industries, and UI/UX design is no exception. The integration of AI into UI/UX has fundamentally changed the way digital interfaces are conceptualized, designed, and delivered …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 46–51 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Strategic Integration of Machine Learning in Polymer Composite Development: A Framework for R&D Portfolio Management and Technological Adoption
Abstract: The progress of advanced polymer composites is slow, costly and unpredictable due to traditional methods of trial-and-error research. As materials informatics and data-driven modeling speed up the process of discovering technology, there exists a huge disconnect between computational predictions on one hand and strategic decision-making on the other in research and development (R&D). To solve this issue, this paper presents the Agile Materials-Intelligence (AMI) Framework, a systematic combined methodology that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1272–2286 Read article
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A Trust-Enhanced Security Architecture for Authenticating Customer Records in Banking Institutions
Abstract: The growing digital disruption of banking and financial services has completely altered the face of customer onboarding, money transactions, and financial service deliveries. Even as digital technologies provide unparalleled levels of efficiency and accessibility for consumers of financial services, they have also presented new challenges that are equally daunting. Among the growing number of financial threats that digital technology has spawned is the risk of synthetic identity fraud. Unlike identity …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 16–22 Read article
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Critical Review on Photocatalytic Polymer Nanocomposites for Indoor Air Purification in Hotels
Abstract: The indoor air quality has become a key measure of health, comfort, and customer satisfaction of a hospitality setting. The challenges that continually affect hotels especially because of volatile organic compounds (VOCs), particulate matter, and microbial pollutants that are present in cleaning agents, furnishing, and human activity. In this regard, the photocatalytic polymer nanocomposites are one of the sustainable and efficient means of purifying indoor air. These materials combine photocatalysts …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 527–541 Read article
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Enhancing Cyber Security in the Banking Sector Using Biometrics
Abstract: The fast-paced digital evolution within the banking industry has led to a substantial rise in the number of financial transactions conducted through online and mobile platforms. While this transformation has improved customer convenience and service accessibility, it has also exposed banking systems to a wide range of cyber threats, such as identity theft, phishing attacks, credential compromise, and financial fraud. Conventional authentication mechanisms, including passwords and personal identification numbers (PINs), …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 15–20 Read article
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Digital Enablers of Nanomedicine: Pharmaceutical Software Across the Lifecycle of Nanotechnology‑Based Drug Products
Abstract: Nanotechnology‑based drug products have rapidly evolved from laboratory concepts to clinically relevant therapies, yet their development is constrained by complex design variables, stringent quality requirements, and emerging regulatory expectations specific to nanomaterials. Pharmaceutical software now plays a central role in the nanomedicine lifecycle, enabling in silico design of nano‑carriers, simulation of nano–bio interactions, control of nanoscale quality attributes during manufacturing, and systematic tracking of safety signals in real‑world use. Integrated …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 11–16 Read article