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188 articles for “Traditional technique”
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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
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Detection of Leaf Diseases Using Image Processing Techniques
Abstract: Agricultural field plays a vital role in the earning to feed ever growing population. The productivity of the crop depends on pest attack, disease, weather, etc. The disease in plants will affect the production of crops. Detecting diseases in plants through visualization is a traditional method which is not relevant. We are focusing on reliable, fast and accurate detection method that can be done using image processing techniques to monitor …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 14–19 Read article
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Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article
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Liquid-Liquid Extraction Strategies for the Isolation of Bioactive Heterocyclic Compounds
Abstract: Liquid-liquid extraction (LLE) is a widely employed technique for the isolation of bioactive heterocyclic compounds from natural products, fermentation broths, and synthetic mixtures. The efficiency of LLE depends on several factors, including solvent selection, pH manipulation, salting-out effects, and temperature control. Conventional solvent systems, such as water-organic solvent pairs, are commonly used, while advanced strategies, including ionic liquids (ILs), deep eutectic solvents (DESs), ultrasound-assisted extraction (UAE), and microwave-assisted extraction (MAE), …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 1, 2025 Read article
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Modelling and Simulation of Adaptive Traffic Control Systems: Electrical Engineering Techniques for Urban Applications
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These systems use real-time data …
Published in International Journal of Transportation Engineering and Traffic System Read article
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Modeling and Simulation of Adaptive Traffic Control Systems: Electrical Engineering Techniques for Urban Applications
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These systems use real-time data …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 1–8 Read article
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Green Solvent Extraction: Sustainable Approaches for Chemical Separation
Abstract: Solvent extraction techniques have advanced significantly as a result of the increased focus on sustainability and environmental responsibility. Traditional organic solvents, while effective in chemical separation processes, often contribute to environmental pollution and pose health risks. In response, researchers have explored greener alternatives that minimize these adverse effects. Compared to traditional procedures, green solvent extraction offers safer and more environmentally friendly solutions by using bio-based solvents, ionic liquids, and deep …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 1, 2025 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Implementation of Close Range Photogrammetry to Evaluate Distresses at Asphalt Pavement Surface
Abstract: Roadway pavements surface deteriorate with time because of traffic loading, environment conditions, and poor pavement maintenance management. The aim of this research is to implement close range photogrammetry technique for evaluation of the pavement surface distresses. The assessment was based on comparison with the traditional visual inspection method and validation of its equivalency with visual evaluation. The asphalt concrete pavement surface distresses such as (cracking type and crack width, patching …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 1, Issue 1, 2015 · pp. 1–14 Read article
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A Chemical Thorn in the Heart of Flowers: An Investigation into Chemical Preservation of Commercial Flowers and Its Health Implications
Abstract: The increasing demand for fresh flowers during festive occasions, religious ceremonies, and wedding seasons has led to the widespread use of chemical preservation techniques throughout the floral supply chain. Flowers – such as jasmine, rose, chrysanthemum, and marigold – are traditionally valued for their natural fragrance, freshness, and aesthetic appeal. However, to meet market demands and extend their commercial value, various chemical agents are increasingly applied to delay senescence and …
Published in International Journal of Green Chemistry · Vol. 12, Issue 2, 2026 · pp. 1–18 Read article
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An Overview of RF MEMS Components by Microwave Theory and Techniques
Abstract: This paper offers with a rather new location of radio-frequency (RF) technology primarilybased on microelectromechanical systems (MEMS). RF MEMS gives a class of new devicesand components which show advanced high-frequency performance relative to standard(commonly semiconductor) gadgets, and which enable new device abilities. Further, MEMSgadgets are designed and fabricated by means of techniques much like those of very massive-scale integration, and may be synthetic through traditional batch-processing strategies. Inthis paper, the …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 1, 2020 · pp. 53–60 Read article
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Nanosuspension-novel Technique for Solubility Enhancement
Abstract: In the treatment of many diseases, getting medicinal compounds to the desired location is a serious issue. Poor biodistribution, limited effectiveness, unfavorable side effects, and a lack of selectivity define traditional medication use. Different types of nanostructures are produced using various size reduction processes and technologies, each with its own set of physicochemical and biological features. These technologies make nanostructures a good material for biomedical applications, and they've gained a …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 7, Issue 2, 2021 · pp. 18–24 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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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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A Review of AI and Machine Learning Techniques in Dew Point Pressure Prediction for Gas Condensate Systems
Abstract: Condensate gas reservoirs pose considerable management challenges due to their intricate phase behavior and the critical need for accurate predictions of dew point pressure (PDew). A precise determination of PDew is vital for optimizing production strategies, estimating reserves, and planning enhanced oil recovery operations. Traditional methods for PDew determination often involve experimental analyses that can be both costly and time-consuming, highlighting the necessity for alternative predictive models. This review consolidates …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 1, 2025 Read article
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Assessment of Pedestrian Walking Characteristics at Erbil CBD
Abstract: To enable and encourage walking, understanding of the characteristics of pedestrian movements is vital. The restrictions on vehicular movement, and scarcity of parking lots had changed the whole traffic movement to the unserviceable condition. Therefore, walking is considered as the most efficient mode of transportation at Erbil CBD area. In developing countries like Iraq, however, the recognition of the importance of pedestrian walking studies is still infancy; the published data …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 1, Issue 2, 2015 · pp. 1–10 Read article
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Geotechnical and Geological Engineering: Interdisciplinary Approaches to Sustainable Infrastructure
Abstract: AbstractGeotechnical and geological engineering are foundational disciplines that play a critical role in thedesign, construction, and sustainability of civil infrastructure, as well as in hazard mitigation andeffective resource management. This paper delves into the intersection of geotechnical and geologicalengineering, underscoring the essential role of comprehensive site investigations, the study of soil androck mechanics, foundation design principles, and slope stability analysis. The paper highlights theimportance of these elements in ensuring the …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Features of Nanoflotation Technique – A Review
Abstract: ABSTRACT Flotation method is majorly availed in two sectors: mining industry (for separation of metal ores) and in wastewater treatment process (both for municipal and industrial wastewaters) for separation of suspended solids, emulsions, chemical sludge or excess sludge. Traditional flotation relies on floating of solids (mainly suspended solids) on the top of the liquid by air bubbles (in conventional process they have and average diameter of 100–300 μm). Better separation …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 4, Issue 1, 2018 · pp. 1–4 Read article
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Green Building Regulations and Their Impact on Sustainable Urban Development
Abstract: Abstract Green building regulations play a pivotal role in promoting sustainable urban development by establishing environmental, energy, and resource efficiency standards in construction and urban planning. These regulations are designed to reduce carbon footprints, enhance energy efficiency, conserve water, and improve waste management in buildings, contributing to the long-term sustainability of cities. By integrating renewable energy technologies, eco-friendly materials, and climate-resilient designs, green building codes help mitigate environmental degradation while …
Published in International Journal of Town Planning and Management · Vol. 11, Issue 1, 2025 · pp. 31–36 Read article