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275 articles for “predictive modeling”
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Analytical Modeling and Simulation of Helical Gear Systems for Improved Load Distribution
Abstract: An analytical modeling and simulation methodology to improving load distribution in helical gear systems is presented in this research study. Fundamental parts of many mechanical systems, helical gears provide the benefits of smooth engagement, lower noise levels, and increased weight bearing capability. However, retaining lifespan and dependability in gear systems requires establishing regular load distribution throughout the gear teeth. This work explores the parameters influencing load distribution and suggests strategies …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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Remote Sensing Technologies for Weather Forecasting: Techniques, Uses, andAssessment
Abstract: Remote sensing has become an important tool for modern weather forecasting since it lets us see the Earth's atmosphere and surface all the time and on a huge scale. Remote sensing uses satellites and sensors to collect data in real time on important weather variables like temperature, humidity, cloud cover, precipitation patterns, and atmospheric motion. These numbers are used in numerical weather prediction models to make forecasts more accurate and …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 25–34 Read article
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Leveraging Artificial Intelligence for Traffic Flow Optimization: A Case Study Approach
Abstract: AbstractTraffic congestion poses a significant challenge in urban environments, contributing to economiclosses, increased fuel consumption, environmental pollution, and diminished quality of life. Traditionaltraffic management approaches, such as pre-timed traffic signals and manual interventions, often failto adapt dynamically to fluctuating traffic conditions. This study explores the integration of artificialintelligence (AI) in traffic management to optimize traffic flow and reduce congestion. By leveragingAI-driven predictive models, deep reinforcement learning, and real-time traffic data, …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
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Finite Element Analysis (FEA) for Nonlinear Behavior in Advanced Materials
Abstract: (FEA) in investigating the nonlinear behavior of advanced materials plays a pivotal role in optimizing the design and performance of modern structural systems. As innovative materials, such as nanocomposites, metamaterials, and shape-memory alloys gain prominence, conventional linear modeling methods become inadequate for accurately capturing the intricate and time-dependent responses exhibited by these materials under diverse loading conditions. This research delves into cutting-edge FEA techniques to simulate and analyze the nonlinear …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 21–26 Read article
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Development of Momentum Transfer and Kinetic Model for Hydrocarbon Degradation in a Flowing Stream
Abstract: ABSTRACTA momentum transfer and kinetic model for prediction of individual hydrocarbon degradation in a flowing stream system has been developed in this study. This model was developed to monitor, predict and simulate degradation of individual hydrocarbon in most flowing streams in the Niger Delta region of Nigeria. The model was developed from first principle using plug flow reactor concept. It was simulated with MATLAB R2007b software using data of crude …
Published in International Journal of Chemical Separation Technology · Vol. 6, Issue 2, 2020 · pp. 17–34 Read article
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Estimation of Crop Yield Prediction Using Machine Learning Technique.
Abstract: Agriculture serves as the primary source of livelihood for a significant portion of India's population, but it faces a myriad of challenges, including climate variability, soil fertility issues, and reliance on traditional farming practices. To address these challenges, researchers are increasingly turning to machine learning (ML) methodologies to predict crop yields more accurately. Studies have delved into the effectiveness of various ML algorithms such as Random Forest, Gaussian Process Regression, …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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SYNTHETIC MEDICAL DATA GENERATIONUSING GAN MODEL
Abstract: The healthcare industry has witnessed growing interest in synthetic data generation, driven by increasing demands for large and diverse datasets. Real medical data is often inaccessible due to stringent privacy laws, data scarcity, and ethical considerations. Sophisticated models, such as Generative Adversarial Networks (GANs), have emerged as powerful tools to generate synthetic data that closely resembles real-world data. This approach is particularly effective for addressing the challenges of researching rare …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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Advances in Applied Chemistry: From Electrochemical Biosensors and Gas Sensing to Sustainable Remediation and Nanofluid Engineering
Abstract: Applied chemistry acts as a crucial link between fundamental molecular science and practical technological innovation. It transforms theoretical knowledge into real-world applications that address challenges in healthcare, environment, and industry. This review highlights recent advancements in electrochemical biosensors, which offer rapid and sensitive diagnostic capabilities, along with modern gas detection technologies designed for improved safety and environmental monitoring. Significant attention is given to environmental remediation, particularly the use of activated …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 20–25 Read article
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Effect of Nano-Fillers on the Mechanical and Fracture Behavior of Polymer Composite Matrices: A Review
Abstract: The modification of polymer composite matrices through the incorporation of nano-scale fillers has become a prominent and highly effective strategy for enhancing mechanical performance, stiffness, and fracture resistance. Unlike conventional micro-scale reinforcements, nano-fillers possess exceptionally high surface area–to–volume ratios and unique physicochemical characteristics that significantly influence interfacial phenomena within the polymer matrix. Materials, such as carbon nanotubes (CNTs), graphene nanoplatelets (GNPs), nano-silica, and layered silicate nanoclays, introduce advanced toughening mechanisms …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 31–36 Read article
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Advances and Emerging Trends in Classical and Modern Thermodynamics.
Abstract: Thermodynamics, as a foundational discipline of physical science, has continually evolved from its classical roots to modern, interdisciplinary applications. Classical thermodynamics established the laws governing energy, entropy, and equilibrium, providing the framework for analyzing heat engines, refrigeration cycles, and chemical processes. Recent advances have expanded these principles into new domains, integrating statistical mechanics, quantum theory, and non‑equilibrium systems. Emerging trends highlight the role of thermodynamics in nanoscale and quantum technologies, …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Enhancement and Management of Evaporative Separation Methods
Abstract: Separating components according to their vapor pressures, evaporative separation techniques are widely employed in a variety of industries, such as chemical manufacture, petroleum refining, and food and beverage processing. Equipment like membrane-based systems, evaporators, and distillation columns are used in these procedures, which are essential for guaranteeing both process effectiveness and product quality. However, stability and safety in evaporative separation processes are difficult to maintain due to their complexity and …
Published in International Journal of Chemical Separation Technology · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Optimizing Gas Turbine Performance: Preventive Measures and Blade Durability Solutions
Abstract: The article explores the various failure mechanisms and preventive methods related to gas turbine blades, which operate under extreme mechanical and thermal conditions. The increasing demand for energy and efficiency in turbojet engines has led to larger and more complex turbomachines. As gas turbine blades are subjected to high operational temperatures, pressure, and stress, they are prone to multiple failure modes, including fatigue, creep, oxidation, corrosion, and erosion. To mitigate …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 2, 2024 · pp. 36–40 Read article
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Resilient Infrastructure: Strategies for Climate Change Adaptation in Coastal Cities
Abstract: Cities around the coast are more susceptible to the effects of climate change, including higher flooding, stronger storms, and rising sea levels. Because of their vital infrastructure and dense populations, many urban areas are vulnerable to major social and economic upheavals. Strategies to improve infrastructure resilience in the face of these escalating difficulties are therefore desperately needed. To increase the resilience of the infrastructure in coastal cities, this review study …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 10, Issue 2, 2024 · pp. 8–12 Read article
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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Advancements in Material Science for Prolonging Service Life in Steam Turbine Components: A Review
Abstract: The longevity and performance of steam turbine components, which are essential assets in the infrastructure for power generation, are being greatly enhanced by advances in material science. This paper examines recent advancements made with the goal of using innovative materials and coatings to increase the longevity and effectiveness of turbine components. This review's scope includes an examination of cutting-edge materials, including composites, high-performance alloys, and ceramics, that are designed to …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 1, 2024 · pp. 23–28 Read article
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Assessment of THMs Formation Potential in Treated Water
Abstract: Raw water in the Saidabad water treatment plant is treated by chlorination. Water samples were collected in February, March, July and September from the six locations of DND canal and treated by chlorine dose. Higher chlorine dose is required in dry season. The treated samples are tested for dissolved organic carbon (DOC), chloride and bromide ions. Using the test results, Trihalomethane (THM) predictive models are developed. Total THM formation is …
Published in International Journal of Green Chemistry · Vol. 5, Issue 2, 2019 · pp. 30–45 Read article
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Recovery of Succinic acid by Reactive Extraction using Tri-n-octylamine in 1-Decanol: Equilibrium Optimization using Response Surface Method and Kinetic studies
Abstract: Reactive extraction is a promising technique for the recovery of organic acids from aqueous streams. Succinic acid, is a white, odorless solid dicarboxylic acid, and is a precursor for some specialized polyesters. Present paper presents an optimization study of reactive extraction of succinic acid equilibrium studies from aqueous solutions using Tri-n-octylamine in 1-Decanol using response surface methodology including reaction kinetics in a stirred cell. Extraction efficiency (Y), a response function …
Published in International Journal of Chemical Separation Technology · Vol. 2, Issue 2, 2016 · pp. 1–14 Read article
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Application of Hengstebeck's Model in Multicomponent Crude Oil Distillation Design
Abstract: Mathematical models were developed for the analysis of the Atmospheric Crude Distillation Unit of Port Harcourt Refinery in Nigeria. The resultant system of equations was solved using the method of matrix inversion using Mathlab software and the models predicted with reasonable accuracy composition of side draws (different fractions) and temperatures. Also, the effect of process parameters on the overall performance of the unit was studied. In addition, the study applied …
Published in International Journal of Chemical Separation Technology · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
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Investigation of Mass Transfer Coefficient and Gas Hold Up and Bubble Size Distribution in Novel Design of Stirred Tank Reactor
Abstract: Stirred tanks are commonly used in chemical industries for reaction and separation. Large-scale reactors include many impellers to improve mixing performance. Agitator plays an important role during the gas-liquid contact in two phase flow. And it is very necessary to know for the understanding of any gas-liquid system. So, in this study my motto is to study which parameters affects in the mixing of gas inside the liquid. The parameters …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 8, Issue 2, 2022 · pp. 5–12 Read article