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1128 articles for “Modelling”
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Recent Developments in Low-Temperature Combustion (LTC) Strategies for Next-Generation Engines
Abstract: AbstractThe growing demand for cleaner and more efficient internal combustion engines has driven extensiveresearch into advanced combustion methods, among which Low-Temperature Combustion (LTC)strategies have emerged as a highly promising area. LTC offers a unique approach to enginecombustion by lowering the peak temperatures within the combustion chamber, thereby significantlyreducing the formation of nitrogen oxides (NOx) and particulate matter (PM) – two major pollutantsassociated with traditional engine designs. Importantly, LTC systems achieve …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 7–12 Read article
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Exploring the Role of CAD Systems in Modern Engineering and Manufacturing
Abstract: Abstract Computer-Aided Design (CAD) systems have revolutionized various industries, providing professionals with sophisticated tools to design, analyze, and optimize products with greater precision and efficiency. These systems integrate both hardware and software to assist engineers, architects, and designers in creating and manipulating detailed representations of physical objects. This article explores the evolution of CAD systems, their core components, types, and applications across diverse sectors like automotive, aerospace, manufacturing, and architecture. …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 24–29 Read article
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A Study of 3D Printing Technology and M.L. Algorithms for Enhanced Production
Abstract: Abstract The realm of 3D printing technology, also referred to as additive manufacturing, has garnered increasing interest in recent times due to its capacity to construct intricate geometric structures. Fused deposition modeling (FDM) stands out among the various techniques and has gained widespread adoption. However, achieving optimal outcomes with FDM poses a challenge, necessitating meticulous selection of process parameters. Presently, many methodologies rely on Machine Learning (ML) algorithms akin to …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 6–15 Read article
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Towards Net Zero: Retrofitting Commercial Halls for IGBC Compliance
Abstract: This paper outlines an integrated energy-efficient retrofitting framework for Shyamvadi, a 10,000 sq. ft. commercial party hall in Junagadh, Gujarat, targeting IGBC Existing Building certification. The retrofit scope included the deployment of a 34.8 kW rooftop solar PV system, LED lighting upgrades, BEE 5-star-rated inverter HVAC units, envelope insulation using reflective coatings and PUF panels, and IoT-based energy monitoring. Baseline and post-retrofit performance data were analysed to quantify energy savings, …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 Read article
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The Role of Technology Integration in Advancing Construction Education
Abstract: The construction industry is undergoing a significant transformation with the advent of technological innovations, necessitating a parallel evolution in construction education. This study investigates the role of technology integration on student learning outcomes and industry preparedness in construction education, addressing a critical need to bridge the gap between academic and industry requirements. Surveys and interviews were combined in a mixed-method approach. By adopting the purposive sampling technique, a sample size …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 Read article
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The Contribution of Quantity Surveyors Towards Achieving Sustainable Construction
Abstract: Sustainable construction has become a global mantra, seeking to achieve the minimization of resource depletion, the minimization of environmental degradation, and the creation of a healthy built environment. The literature evidence, however, shows that building projects have often been carried out without adequate consultation with quantity surveyors, who are knowledgeable about the legal and financial facets of sustainable construction. This study evaluates the role of quantity Surveyors (QS) in sustainable …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 1, 2025 · pp. 10–20 Read article
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Investigation of Tangential Shear Stress and Frictional Torque Coefficient over a Rotating Disk of the Rotor-Stator System
Abstract: Abstract The study investigates the prediction of tangential shear stress and the frictional torque coefficient over a rotating disk in a rotor-stator system under laminar inward flow conditions. The interaction between the rotating and stationary disks is governed by key parameters, such as volumetric flow rate, rotational speed of the disk, and the axial clearance between the two surfaces. These parameters are expressed in terms of dimensionless quantities, including the …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 6–14 Read article
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Access Management in Compliance: Navigating GDPR, HIPAA, and Beyond
Abstract: Access management is a critical component in firms wishing to abide by strict data protection standards, like the GDPR and HIPAA, but this paper access management regulation requirement in a more contextualized manner regarding GDPR and HIPAA, ending with the recommendation of an overall framework to enforce compliance. It provides best practices regarding data access, user authentication, and monitoring strategies that correspond to changing demands for such regulations. The paper …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 20–28 Read article
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Isocoreopsin and Glycogen Phosphorylase – An in-silico Interaction Study: A New Way to Tackle Type 2 Diabetes (T2D)†
Abstract: The activity of glycogen phosphorylase (GP) plays a crucial role in regulating glycogen metabolism, and its excessive activity has been closely linked to the pathogenesis of metabolic disorders, such as type 2 diabetes (T2D). Therefore, targeting GP inhibition has emerged as a significant therapeutic strategy for managing this disease. Current research focuses on the discovery and development of novel small molecules capable of suppressing GP activity. Among these, flavonoids have …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 1, 2025 · pp. 76–80 Read article
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Smart Agro-Advisory Systems: AI-Based Platforms for Real-Time Farmer Decision Support
Abstract: Agriculture is a vital sector for food security and economic growth, particularly in the developing world. Farmers, however, often face unpredictability of weather conditions, insect attacks, wasteful use of resources, and uncertainties of the market. Farmers' practices are mostly based on experience and intuition, which might not always be the best to apply. Smart Agro-Advisory Systems (SAAS) based on Artificial Intelligence (AI) offer real-time decision support to farmers, enabling them …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 8–14 Read article
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, "Real Time Language Translation Application Using Tkinter," was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google's Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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A Study on Stress Analysis of Aluminum Alloy Solidified in Metallic Molds
Abstract: Abstract The casting technique is regarded as the primary manufacturing process. It has several process parameters that affect the cast structure. Mold geometry is considered one of the most important metal parameters to cast. In the current work, the influence of mold geometries on mechanical properties (deformation and stress concentration) of liquid Aluminum alloy solidified in the steel mold is assessed using ANSYS simulation software. Molds were subject to a …
Published in International Journal of Manufacturing and Materials Processing · Vol. 10, Issue 2, 2024 · pp. 10–15 Read article
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An Overview of Service Quality Offered by Interurban Transport Companies: Case of Vatican Travel Agency, Yaounde
Abstract: Abstract The problem of customer satisfaction in the interurban transport sector is complex and multifaceted. Addressing these issues will require a combination of investment in infrastructure, improvements in service quality, and the adoption of innovative technologies and business models. This research work is an explorative study design which focuses on the effects of quality services on customer satisfaction. The main objective of this study is to identify and examine the …
Published in International Journal of Town Planning and Management · Vol. 11, Issue 1, 2025 · pp. 37–52 Read article
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Resilient Futures: Integrating Sustainability in Urban Design
Abstract: Abstract This paper explores the interconnectedness of urban design, sustainability, and community resilience, particularly in the context of rapidly growing cities. As urbanization continues to shape modern environments, the need for sustainable development and climate-responsive planning becomes more urgent. The study focuses on fundamental urban design elements – paths, edges, districts, nodes, and landmarks – that influence both the perception and functionality of urban spaces while contributing to their resilience. …
Published in International Journal of Town Planning and Management · Vol. 11, Issue 1, 2025 · pp. 1–12 Read article
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A Comprehensive Review of Smart Parking Systems: Technologies, Challenges, and Future Directions
Abstract: Abstract Smart Parking Systems (SPS) are gaining significant attention as a critical solution to address the growing concerns of urban congestion, inefficient use of parking spaces, and environmental sustainability. This paper presents a comprehensive review of SPS, focusing on the key technologies, challenges, and future directions. We explore the integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and sensor networks in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–13 Read article
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Integration of smart materials with traditional aesthetic
Abstract: Abstract: This research explores the integration of responsive and adaptive smart materials in modern architecture for a balance of sustainability and cultural heritage. Advanced materials, such as thermochromic glass, shape memory polymers, and phase change materials (PCMs), benefit energy efficiency and adaptability. The research will provide practical guidelines for designers to link innovation to tradition through literature reviews, advanced simulations, and community feedback. Exploring the potential of energy conservation through …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 1, 2025 · pp. 85–101 Read article
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Integration of Nanotechnology in Sustainable Agriculture: From Lab to Field Applications
Abstract: This comprehensive exploration delves into the transformative integration of nanotechnology in sustainable agriculture, focusing on advanced applications that bridge laboratory innovations with practical field implementations. The research examines novel nanomaterial formulations for precision farming, smart delivery systems for agrochemicals, and nanobiosensors for real-time crop monitoring. This chapter delves into the transformative role of nano-enabled agricultural solutions in enhancing crop productivity while preserving ecological integrity. Through rigorous experimental analysis and detailed …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 1, 2025 · pp. 47–59 Read article
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Industrial Biotechnology and Circular Economy: A Pathway to Sustainable Bio-Manufacturing
Abstract: Industrial biotechnology, also known as white biotechnology, represents the application of biological systems and organisms in industrial processes, focusing on the production of bio-based products, including biofuels, chemicals, and materials. With the pressing need for sustainable manufacturing practices to address environmental degradation, resource depletion, and climate change, integrating industrial biotechnology with the principles of the circular economy offers an innovative pathway to ensure sustainability. The circular economy, which focuses on …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 11, Issue 1, 2025 · pp. 17–21 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article