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283 articles for “Dynamic Response”
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Enhancing Chatter Resistance in Deep Hole Boring Through Modified Tool Design: A Study on Impact of Length-To-Diameter (L/D) Ratio
Abstract: Deep hole boring is a specialized machining process crucial for creating precise bores with high length-to-diameter (L/D) ratios, particularly vital in aerospace, automotive, and oil and gas industries. The L/D ratio is pivotal for stability and performance. Chatter, a detrimental vibration phenomenon, is a significant concern in deep hole boring, influenced by the L/D ratio. Higher L/D ratios increase chatter, leading to poor surface finish and reduced tool life. Longer …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 24–33 Read article
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Artificial Intelligence Techniques for Smart Polymer Nanocomposite Materials and Industrial Applications
Abstract: Protecting sensitive material data, manufacturing processes, and intelligent monitoring platforms is essential for the fast development of innovative polymer nanocomposite systems in fields such as aerospace, medicine, electronics, automobiles, and energy. In order to safeguard, consistently enhance, and optimize distributed industrial systems that consist of polymer nanocomposite materials, this study presents an AI-driven cybersecurity and cloud computing architecture. The suggested solution employs artificial intelligence (AI), machine learning (ML), cloud computing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Analyzing the Effects of Soil-Structure Interaction and Geometric Configuration on Structure
Abstract: This study investigates how varying soil types impact the seismic performance of a 30-story building, simulated using ETABS software. The research focuses on key parameters such as soil type, different shapes of structure, base shear, and inter-story drifts under different soil conditions, ranging from soft clay to dense sand. By comparing fixed-base models with those incorporating soil-structure interaction (SSI), the analysis highlights significant differences influenced by soil type. The findings …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 2, 2024 · pp. 1–15 Read article
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pH-Responsive Smart Polymer Nanocomposites for Anti-Corrosive Coatings
Abstract: Metallic corrosion under adverse marine and industrial conditions imposes gigantic financial burdens and risks worldwide. Conventional waterproofing waterborne epoxy has passive barrier protection, but is also inherently microporous, lacking intrinsic repair ability against mechanical damage and thus rapidly decays. This is a critical gap that this work tries to bridge by designing a new pH-responsive hybrid polymer nanocomposite by using polyethyleneimine-tannic acid-cerium functionalized boron nitrate nanosheets with chitosan-capped mesoporous silica …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 201–213 Read article
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Research Paper A Review of Symmetry in Mechanical Systems: Theoretical Systems Foundations and Engineering Applications
Abstract: In mechanical system analysis and design, symmetry is of mechanical systems. This article examines the idea of symmetry in mechanical systems, exploring its mathematical foundations (such as Lie algebras and group theory) and how these ideas help explain the behavior, stability, and control of the system. We explore the applications of symmetry in a range of mechanical systems, from basic mechanical connections to intricate multi-body dynamics, emphasizing the benefits of …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 15–19 Read article
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A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of Tokens
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article
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Bio-inspired Thermo-responsive and Self-Healing Polymer–PCM Hybrids for Next-Generation Smart Textile Applications
Abstract: The integration of phase change materials (PCMs) into flexible polymers represents a promising strategy for developing smart textiles with advanced thermal regulation and mechanical adaptability. However, the challenges of PCM leakage, poor mechanical strength, and durability under cyclic stress have limited their practical applications. In this study, we present a novel self-healing and elastic composite based on thermoplastic polyurethane (TPU) incorporating 30 wt% microencapsulated PCM (mPCM) and dynamic disulfide bonds …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 228–238 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Extracellular Vesicle-Based Liquid Biopsies: Decoding the Tumor Microenvironment for Precision Oncology
Abstract: The tumor microenvironment (TME) plays a pivotal role in cancer initiation, progression, and therapeutic response. Decoding the TME is, therefore, essential for advancing precision oncology. Extracellular vesicles (EVs), including exosomes and microvesicles, are nanoscale lipid bilayer particles secreted by tumor and stromal cells. They transport a wide range of bioactive molecules, such as DNA, RNA, proteins, lipids, and metabolites, which reflect the dynamic state of the TME. Recent advances in …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 43–62 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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Effect of Different Configurations of Reinforcement and Post-Cure Temperature Detailed Survey
Abstract: Composites with natural fillers have applied many applications, such as interior housekeeping, building and so on but their findings are seldom examined in the mechanical, tribological and dynamic situation. The addition of fillers in GFRP composites enhances the mechanical, thermal and tribological properties due to filler occupied in voids in thermoset resin. There has also been a lot of work done in quantifying the consistency of the operating parameters through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1738–1753 Read article
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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IoT-Enabled Self-Monitoring Polymer Composites for Solar Facade Systems with Cloud-Based Thermal Analytics
Abstract: The increasing demand for intelligent and energy-efficient building systems has hastened the production of smart solar facade systems. This paper presents an IoT-based self-monitoring polymer composite system, which includes thermal analytics running on the cloud to provide real-time assessments of the performance of the facade. The artificial composite panel has sensing capability built in which the material is able to measure both surface and internal thermal behavior simultaneously in dynamic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 657–681 Read article
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Integration of 5G and Low Earth Orbit (LEO) Satellite Communication for Global Connectivity
Abstract: This integration revolutionizes global connectivity by merging 5G's urban capabilities with LEO's wilderness coverage. This research examines how LEO satellite constellations can complement terrestrial 5G networks to extend high-speed, low-latency connectivity to underserved regions including rural areas, oceans, and airspace. Recent breakthroughs in LEO satellite technology and successful demonstrations of 5G-satellite integration point to a rapidly evolving ecosystem with significant market growth potential. To fully realize the potential of advanced …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 15–32 Read article
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Nutrition Induced Gut Microbiota Modulation in Food Animals: Implications for Viral Susceptibility, Shedding and Transmission Dynamics for Sustainable Development
Abstract: The gut microbiota has emerged as a central mediator linking host nutrition, immune competence, and vulnerability to viral pathogens in food animals. Diet is a primary driver of microbial community structure and function, influencing metabolite production, intestinal barrier integrity, and systemic antiviral immunity. Accumulating evidence indicates that nutrition induced modulation of the gut microbiota can substantially alter viral susceptibility, replication, and shedding patterns, with downstream effects on transmission dynamics within …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 46–56 Read article
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Smart Material for Energy Harvesting and Energy Storage in Mechanical Systems
Abstract: The integration of smart materials into mechanical systems for energy harvesting and storage marks a transformative leap in sustainable energy technology. These materials, responsive to environmental cues, offer innovative solutions for capturing energy from mechanical sources. Leveraging properties like piezoelectricity and thermoelectricity, smart materials efficiently convert mechanical energy into electrical energy, enabling devices to generate power from human motion or industrial machinery. Moreover, they enhance energy storage capacity and efficiency …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 1, 2024 · pp. 41–48 Read article
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Full-Stack Web Development for Intelligent User Interfaces: Integration of MERN and Rails
Abstract: In the modern era of web development, by providing users with flexible, responsive, and interactive designs, Intelligent User Interfaces (IUIs) greatly improve the user experience. A hybrid method for constructing intelligent, scalable, as well as efficient online apps is discussed in this review work, which focuses on the integration of Ruby on Rails with the MERN stack (MongoDB, React.js, Express.js, Node.js). The MERN stack excels in dynamic frontend development, while …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 15–25 Read article