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1128 articles for “Modelling”
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Synthesis and Characterization of Poly(vinylpyrrolidone) / Starch / Dimethylacrylamide Hydrogel by Gamma Radiation and Its Application in Basic Fuchsin and Methyl Orange Removal
Abstract: Gamma radiation was used to create a number of PVP/Starch/Dimethylacrylamide (PSD) based hydrogels. Investigated were the effects of several parameters, such as radiation dose, material composition, and pH, on the characteristics of hydrogels, such as gel content and swelling behavior. Radiation doses ranged from 10 to 25 kGy, and 10 kGy was determined to be the ideal dose. Investigations on the impact of dimethylacrylamide (DMA) composition on swelling were investigated. …
Published in International Journal of Polymer Science and Engineering · Vol. 9, Issue 2, 2023 · pp. 1–20 Read article
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Design and fabrication of Garbage Cleaner Vehicle
Abstract: The development and construction of a partially automatic electronic rubbish collecting bot vehicles is the subject of the aforementioned study proposal.. The job was completed in light with the existing state of our storage areas, they are filthy with garbage, pollution, and dangerous chemicals. This machine's design to clean the surface of the waste was based on that. To supply the products more quickly, nearly every step of manufacturing is …
Published in International Journal of Mechanics and Design · Vol. 9, Issue 1, 2023 · pp. 35–41 Read article
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Fatigue Stress Analysis of Composite Material Leaf Spring
Abstract: The finite element (FE) modeling and analysis of a multi-leaf spring has been carried out. It includes two full-length leaves in which one is with eyed ends and seven graduated length leaves. Different types of material have been chosen like steel, aluminum, carbon epoxy and glass epoxy. The model of the leaf spring has been generated in Pro/e5.0 and imported in ANSYS-12 for FE analysis, which are the most popular …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 2, 2018 · pp. 30–33 Read article
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Failure Analysis of Engine Crankshaft by Finite Element Method Analysis Approach- A Review
Abstract: The crankshaft, a mechanical part with intricate geometry that converts reciprocating motion into rotational motion, is essential to the operation of the engine. The connecting rod serves as the link between the crankshaft and the piston. The primary bearings, which are situated in the crankcase, support the crankshaft journals. The most crucial phase for an efficient engine design and an increase in engine performance in an internal combustion engine is …
Published in International Journal of Manufacturing and Materials Processing · Vol. 9, Issue 1, 2023 · pp. 12–21 Read article
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Automobile Engine Assembly Line in an Automobile Industry
Abstract: Manufacturing industries give importance to the reduction of energy consumption due to the increase in energy cost and to create an eco-friendly environment. Assembly line is considered to be one of the cost intensive systems. Robots are recently being used to perform the assembly tasks instead of manual labor. There is a requirement of efficiently balancing the assembly line by allocating equal amount of work to workstations and assignment of …
Published in International Journal of Computer Aided Manufacturing · Vol. 4, Issue 2, 2018 · pp. 80–100 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Comparative Analysis of a G+29 RCC Building under Indian Wind Zones III, IV, and V Using Parametric BIM–FEM Integrated Workflow
Abstract: The increasing demand for high-rise reinforced concrete (RCC) buildings in urban regions has made wind-load assessment an important aspect of structural design. In tall buildings, wind-induced lateral forces significantly affect serviceability performance, structural stability, and occupant comfort. Recent advancements in Building Information Modelling (BIM) and finite element–based structural analysis have improved the efficiency, accuracy, and interoperability of structural design workflows. The present study investigates the comparative wind response of a …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 2, 2026 Read article
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Data-Driven Multiscale Design of Nanostructured Composite Materials for Sustainable Engineering Applications.
Abstract: The increasing demand for high-performance, lightweight, and environmentally sustainable materials has accelerated the advancement of nanostructured composite systems in modern engineering. This study develops a comprehensive data-driven framework for the multiscale design and optimization of nanostructured composite materials, with emphasis on the interaction between structure–property relationships across nano-, micro-, and macro-scales. By integrating hybridization strategies with intelligent manufacturing techniques—such as machine learning-assisted modeling and additive fabrication—the research addresses critical limitations …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 48–58 Read article
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An Overview on AI in Thermal Behaviour of Polymers
Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the thermalanalysis of polymers and composite materials has transitioned from experimental curiosity to acornerstone of material science. By replacing costly and time-consuming trial-and-errorlaboratory testing with predictive modeling, AI is accelerating the development of advancedthermal interface materials, fire-retardant polymers, and aerospace-grade composites. Theprediction and optimization of the thermal behavior of polymers and composite materialsrepresent a cornerstone of modern materials science, …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 12–16 Read article
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Assessment of a Reef for Protecting Reclamation and Mitigating Sedimentation in a Navigational Channel
Abstract: Abstract Among various engineering interventions, submerged breakwaters (reefs) have emerged as a promising solution that balances shoreline protection with environmental and aesthetic considerations. This paper presents a study at Essar Bulk Terminals Limited (EBTL), Hazira, Gujarat, on the effectiveness of a reef in protecting reclaimed areas from wave and tidal action, as well as mitigating sediment accumulation in the navigational channel within the Tapi Estuary on India's west coast. A …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 7–20 Read article
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AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
Abstract: Agriculture is rapidly transforming into a data-driven ecosystem supported by advances in artificial intelligence (AI), Internet of Things (IoT) sensor networks, and satellite remote sensing technologies. These innovations enable precision-driven decision-making aimed at improving productivity while minimizing environmental impact. This paper presents an AI-integrated precision agriculture system designed to optimize fertilizer usage and enhance crop yield prediction accuracy through a robust multimodal deep learning framework. The proposed approach integrates heterogeneous …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
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Analytical Evaluation of heavy metals in eyeshadows: A Risk assessment and Implications for Public Health Regulatory Reforms in Nigeria
Abstract: This study employs advanced analytical techniques to assess heavy metal contamination (Pb, Cd, Cr, Ni, Zn) in 18 commercially available eyeshadow products (local and imported) from Owerri Metropolis, Nigeria. Quantification was conducted using atomic absorption spectroscopy (AAS), while risk evaluations incorporated chemometric modeling approaches. Results revealed significant contamination in locally manufactured brands, particularly those containing calabash chalk (Nzu) as a base ingredient. Lead and nickel concentrations reached 166.58 ± 6.5 …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 Read article
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Predicting Water Distribution Pipe Thermal Abnormalities Caused by Wildfire
Abstract: The paper covers the temperature thermal control of the water distribution system by predicting the temperature exceeding the safe level at pipes' locations and shutting off the water access to the main distribution pipe. The advantages of predictive thermal control over setting the maximum allowed temperature are provided. The prediction uses a transient heat conduction model with an error function approximation for arbitrary distance from the surface. It is provided …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 89–97 Read article
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Digital Archives and Metadata Standards for Architectural Heritage: A Comparative Review
Abstract: Architectural heritage – including historic buildings, monuments, landscapes, and traditional urban fabric – constitutes a vital repository of cultural, aesthetic, and scientific values. Digital archiving such heritage is increasingly necessary for preservation, research, documentation, education, and public engagement. However, the effectiveness of digital archives depends vitally on the metadata standards used: the structure, semantics, interoperability, and preservation of metadata can enable or hinder access, reuse, long‐term sustainability, and meaningful comparisons …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 2, 2025 · pp. 7–13 Read article
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Cognitive Metallurgy: A Study on Microstructure and Energy Efficiency in High-Temperature Alloying via Sensor Fusion and Deep Reinforcement Learning
Abstract: Background Traditional high-temperature metallurgical processes, such as continuous casting and specialty alloy synthesis, are characterized by high energy consumption, stochastic variability, and reliance on post-process defect inspection. The inability to precisely monitor, model, and predict the real-time thermal, chemical, and mechanical state of molten metal and cooling substrates results in significant material waste and inconsistent microstructural integrity. Methodology This study introduces a novel framework for Cognitive Metallurgy utilizing an integrated …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 27–36 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Seismic Behavior of Composite Steel-Concrete Beams in High-Risk Earthquake Zones: An Analytical and Experimental Approach
Abstract: Abstract This study investigates the seismic performance of composite steel-concrete beams in high-risk earthquake zones through a combination of analytical modeling and experimental testing. Composite beams, which combine the strengths of steel and concrete, are increasingly utilized in structural designs due to their superior load-bearing capacity and ductility. The research emphasizes the behavior of these beams under seismic loading, focusing on critical parameters such as energy dissipation, load transfer mechanisms, …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 2, 2025 · pp. 43–64 Read article
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Review and Analysis of Fault Detection in Self-Healing Hardware System
Abstract: Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article