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238 articles for “Machine learning”
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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Coupled Dynamics in Fluid-Structure Interaction Systems: A Review of Analytical and Computational Models
Abstract: Abstract: Fluid-Structure Interaction (FSI) systems embody the complex, coupled behavior between deformable or flexible structures and surrounding fluid flows. This interaction is inherently nonlinear and dynamic, posing significant challenges in modelling, simulation, and analysis. Understanding and accurately predicting the behavior of FSI systems is critical across a broad spectrum of engineering applications, including aerospace structures undergoing aeroelastic effects, underwater vehicles interacting with fluid currents, biomedical devices, such as heart valves …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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A Review on Design and Analysis Model for Detectionand Classification of Lung Diseases Using Medical Images
Abstract: A key component of the human respiratory system, the lung regulates blood oxygen levels through gasexchange. Diseases linked to the lungs are becoming more common as pollution levels rise. In order topreserve human life, it is crucial to identify lung disorders early. In order to forecast lung disease, clinicalprofessionals analyze medical imaging, such as CT or X-rays. Clinicians identify lung disease by applyingtheir medical expertise and knowledge. Because expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 Read article
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Smart Electricity Consumption Monitoring and Billing System
Abstract: Electricity consumption monitoring is essential for optimizing energy use and reducing costs. Traditional meters provide only cumulative readings, leading to inefficiencies and billing discrepancies. This research presents a smart electricity consumption monitoring and billing system that enables users to track real-time power usage and generate automated bills based on actual consumption. A hardware device measures voltage and current, calculates power consumption, and transmits data to a web-based platform via the …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 Read article
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Biocatalytic Synergy: Organic Chemistry Strategies for Sustainable Biochemical Transformation
Abstract: In the pursuit of greener and more sustainable chemical processes, biocatalysis has emerged as a pivotal field bridging organic chemistry with biochemical innovation. This paper explores how principles from organic chemistry are being integrated into biocatalytic systems to enable environmentally friendly biochemical transformations. Emphasis is placed on enzyme engineering, co-factor recycling, green solvent usage, and hybrid chemo-enzymatic methodologies that enhance selectivity, reduce toxicity, and minimize environmental impact. Recent advancements—including machine …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 11, Issue 2, 2025 · pp. 38–41 Read article
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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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From Cloud to Edge–The Comprehensive Impact ofEdge AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence (AI) can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology. Autonomous driving, smart …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 1–13 Read article
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Revolutionizing Design and Manufacturing: The Role ofComputer Languages in CAD and CAM
Abstract: The evolution of computer languages has played a crucial role in the advancement of modern computational technologies, with significant contributions to fields, such as Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM). Computer languages provide the essential tools to communicate between human users and machine systems, enabling the automation of design and manufacturing processes. This review explores the development and classification of computer languages, highlighting their impact on CAD and CAM …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 30–34 Read article
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Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring
Abstract: AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 14–26 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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Impact of Exhaust Gas Recirculation on NOx Emissions and Efficiency in Diesel Engines
Abstract: Abstract Exhaust gas recirculation (EGR) has emerged as a pivotal strategy to reduce nitrogen oxide (NOx) emissions from diesel engines, which significantly contribute to air pollution and environmental degradation. NOx emissions pose serious concerns due to their role in forming smog, acid rain, and adverse health impacts. By recirculating a portion of the exhaust back into the intake manifold, EGR reduces these emissions by restricting the manufacturing of NOx and …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Innovative Digital Clusters for EVs: Design, Features, and User Experience
Abstract: This paper examines the development of digital dashboards (clusters) in electric vehicles (EVs) aimed at providing drivers with clear, real-time, and essential information. As EV adoption continues to rise due to government incentives and growing environmental awareness, the demand for an intuitive, user-friendly, and efficient dashboard has become increasingly important. An EV’s digital cluster displays crucial data, such as speed, battery level, estimated driving range, and energy consumption. Additionally, it …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 15–22 Read article
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FROM CLOUD TO EDGE – THE COMPREHENSIVE IMPACT OF EDGE AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how Edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology.Autonomous driving, smart cities, healthcare …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 Read article
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Innovative Approaches to Molecular Synthesis for Drug Development
Abstract: The rapidly evolving field of drug development continually seeks innovative methodologies to enhance the efficiency, specificity, and scalability of molecular synthesis. This paper explores recent advancements in synthetic chemistry, focusing on techniques that have shown significant promise in addressing the challenges faced in drug discovery and development. Automated Synthesis: The advent of machine learning and artificial intelligence (AI) in synthetic chemistry has led to the development of automated synthesis platforms. …
Published in International Journal of Chemical Engineering and Processing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
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Advances in Reproductive Biotechnology: Innovations in Artificial Insemination and IVF Techniques
Abstract: Reproductive biotechnology has transformed infertility management and animal breeding, with artificial insemination (AI) and in vitro fertilization (IVF) playing pivotal roles. Historically, these technologies have evolved from experimental concepts to essential tools in reproductive medicine and agriculture. AI, introduced in the early 20th century, became instrumental in optimizing breeding programs by allowing selective fertilization without physical mating, thus improving genetic diversity and disease control in livestock. Meanwhile, IVF, developed in …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 2, 2024 · pp. 11–15 Read article
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Effect of Segmentation of White matter, grey matter and CSF in the prediction of Neurological disorders
Abstract: The segmentation of white matter, grey matter, and cerebrospinal fluid (CSF) plays a crucial role in predicting and diagnosing neuro disorders. This study investigates the impact of precise segmentation techniques on identifying biomarkers and structural changes associated with various neurological conditions, including Alzheimer's disease, multiple sclerosis, and schizophrenia. By leveraging advanced imaging technologies and machine learning algorithms, we aim to enhance the accuracy of neuro disorder predictions through detailed analysis …
Published in International Journal of Neurological Nursing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
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Seamless Connectivity and Efficient Resource Allocation in IoT Forensics and Bio-inspired
Abstract: The convergence of cloud computing and the Internet of Things has reshaped many industries, enabling seamless device connectivity and resource allocation on a massive scale. This paper highlights the challenges bio-inspired Internet of Things networks and Internet of Things forensics pose while delving into the core components of achieving connectivity and resource provisioning within cloud-based Internet of Things environments. Different state-of-the-art technologies have been taken into account to enhance reliability …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 8–15 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Customer preferences in adopting AI in their building designs: A Perspective case study from Saudi Arabian architects
Abstract: Recent AI advances have improved Saudi building design inventiveness, efficiency, and cultural sensitivity. Automating tedious activities like image resizing and layout optimization with AI helps designers focus on novel concepts. AI may assess client preferences and society conventions to assist designers adapt their ideas to local cultural values, making architectural development projects more appealing. Even though it has many advantages, artificial intelligence in architecture is confronted with several challenges. The …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 10, Issue 2, 2024 · pp. 25–40 Read article