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509 articles for “traditional techniques”
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Integrating Horticultural Techniques for the Propagation of Ethnomedicinal Pteridophytes in the Himalayan Region
Abstract: The Doon Valley, including the regions of Dehradun, Mussoorie, and Chakrata in Uttarakhand, India, is rich in ecological and medicinal plant diversity. This study focuses on the geographical distribution, habitats, and medicinal applications of 28 pteridophyte species found in these regions. Detailed field observations and data collection from various scientific journals, databases, and publications have contributed to understanding the traditional and pharmacological uses of these plants. The results show that …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 2, 2024 · pp. 1–19 Read article
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Novel Catalytic Strategies for Reducing Residual Stresses and Improving Surface Quality in Machined Ceramic Materials
Abstract: To prepare for material cutting and utilize utility-specific edges, it’s crucial to understand the inherent brittleness of ceramics. This brittleness limits the forming methods available and hinders achieving dimensional accuracy and precision through conventional machining techniques. The fabrication of composite materials is becoming increasingly significant, particularly in technical fields like the automotive industry, where they are used to manufacture engine connecting rods, propeller shafts, brake discs, and more. The machining …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 01–07 Read article
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Recent Advances in Smart Polymer Composites for Plant Health Monitoring: A Strategic Integration of Sensing Mechanisms and Computational Intelligence
Abstract: Plant health assessment is crucial for agricultural production and food security, as plant diseases significantly affect crop yields and quality. This paper reviews the applications of polymers and composite materials in the evaluation of plant health, focusing on both natural and artificial polymers, carbon materials, and polymeric–nanoparticle composite materials. Various types of sensing principles, such as colorimetry, fluorimetry, surface plasmon resonance (SPR), surface enhanced Raman scattering (SERS), and interferometry, are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1135–1144 Read article
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Embedded Systems and Software Challenges in Electric Vehicles
Abstract: The embedded systems architectures and software design methodologies used in the industry must undergo a major paradigm shift to accommodate the creation of electric vehicles. That is, automobiles with traditional systems. It is becoming increasingly clear that the evolutionary strategy of replacing an automobile’s internal combustion engine with an electric motor will be unable to address critical issues such as reasonable vehicle range, battery lifetime performance, battery management techniques, costs, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 3, 2022 · pp. 25–40 Read article
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Wastewater Treatment Techniques, Quality Monitoring, and Compliance with Regulatory Standards in Nigeria
Abstract: Innovative wastewater treatment techniques, recycling systems, circular economy, and quality monitoring and enforcement of regulatory standards are vital for sustainable urban water development. This study offers a thorough analysis and review of the literature on wastewater treatment methods in Nigeria, spanning from traditional approaches to cutting-edge technologies like membrane bioreactors, trickling filters, activated sludge systems, anaerobic digesters, and constructed wetlands. It also investigates deeper into the existing quality monitoring systems, …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 23–35 Read article
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Advances in Data Security in Cryptography
Abstract: In the ultra-modern period, evaluation of networking and wireless networks within information and communication technology has brought many changes to deal with this technology using internet, growing strongly over the past several decades, data security has come a main concern for anyone connected to the web. Data security ensures that our data can only be accessed by authorized recipients and prevents any unauthorized access or alteration of the data. We …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 1–7 Read article
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Phisherman: A Phishing Email Detection Browser Extension
Abstract: Phishing attacks continue to pose significant security risks, exploiting email as a primary vector to deceive users and compromise sensitive information. To counter these threats, Phisherman presents a sophisticated, real-time phishing detection system that integrates both rule-based methods and deep learning for heightened accuracy. Built as a cross-browser extension, compatible with Chrome, Firefox, and Edge through the WebExtension API, Phisherman combines traditional verification checks, such as DNS blacklisting, SPF, DKIM, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 99–105 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Role of Dermabrasion Assisted Tangential Excision in Paediatric Electrical Burn Wounds
Abstract: Early removal of necrotic tissue in deep electrical burns by tangential excision decreases scarring and promotes wound healing. Dermabrasion, traditionally used in dermatology for facial resurfacing and scar treatment, has shown promising results when applied to burn wound management. In burn care, dermabrasion serves as a form of blunt debridement, effectively removing superficial necrotic tissue without damaging underlying healthy structures. This technique helps reduce local inflammation and lowers the likelihood …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 Read article
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Modelling and Performance Evaluation of a Multiport Converter for Active Balancing of Lithium- ion Battery Cells
Abstract: In this paper, a flexible multiport DC-DC converter-based active cell balancing technique for Li-ion battery packs is presented. Cell balancing plays an important role in terms of safety, capacity utilization, and battery lifespan. For Li-ion cells in series configuration, the difference in voltages and states of charge (SOCs) leads to imbalance issues which might negatively affect their performance and shorten their lifespan. To solve these problems, the proposed technique utilizes …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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TPLO-M: A Dual-Purpose Solution for CCL and MPL in Dogs
Abstract: Cranial Cruciate Ligament (CCL) rupture and Medial Patellar Luxation (MPL) are common orthopedic conditions affecting the canine stifle joint, particularly in small and toy breeds and larger athletic dogs. When these conditions occur together, they pose a significant surgical challenge due to the combined biomechanical abnormalities. Traditional surgical approaches, such as Tibial Plateau Leveling Osteotomy (TPLO) for CCL insufficiency and corrective procedures for MPL, do not adequately address both conditions …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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Refractive Index Measurement Using Integrated Fiber Optics Triangulation Technique
Abstract: Quantitative and qualitative analytical techniques are of considerable importance for the purpose of detection, identification and measurement in biomedical application. Over the years, several methods have been developed to detect and quantify various biological samples. However each of this method presents certain limitations pertaining to its sensitivity, accuracy, and reproducibility. The recent trend to improve biochemical analysis is to provide a platform, which is more sensitive, accurate, portable, rapid and …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 32–37 Read article
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Impressionism: Revolutionizing Art Through Chiaroscuro
Abstract: Impressionism, an influential art style that thrived from the 19th to the early 20th century, originated in Paris in the 1860s, with Claude Monet recognized as its pioneer. This movement arose as a reaction against the advent of photography, advocating for a novel representation of light and momentary impressions. Key contributors included Camille Pissarro, Édouard Manet, Edgar Degas, and Pierre-Auguste Renoir, who collectively rejected the constraints of traditional public expectations …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 2, 2025 Read article
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Revolutionizing Urban Traffic Management: An AI and Multi-Agent System Approach Leveraging IoT Technology
Abstract: Our study addresses the challenging issue of traffic congestion in modern urban areas and the limitations of traditional solutions like road expansion and network indicators. To effectively tackle traffic congestion, the study explores various strategies that analyze traffic elements, falling into the Macroscopic and Microscopic Models. However, conventional traffic modeling faces significant challenges in dealing with complex traffic systems.Artificial Intelligence (AI) techniques, including fuzzy logic, evolutionary algorithms, neural networks, and …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article
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Life Cycle Assessment (LCA): A Tool for Sustainable Development and Environmental Management of Products
Abstract: Life cycle assessment (LCA) is a crucial technique for clearly understanding how much room there is for product improvement in a given good or service. Because of its high cost and application in eco-design, supply chain management, green buying, sustainable investing, and other relevant activities, manual data engineering and analysis processes. Traditional LCA methodologies and technology may need more scalability regarding substantial product portfolios and expanding reporting requirements. The Sustainability …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 16–25 Read article
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Attendance System Based on Facial Recognition
Abstract: Attendance management is a fundamental aspect of educational institutions and workplaces, ensuring accountability, discipline, and operational efficiency. Traditional methods, such as manual roll calls, RFID cards, and fingerprint scanners, are often time-consuming, error-prone, and susceptible to fraud. This research presents an automated attendance management system utilizing face recognition technology to address these challenges effectively. The proposed system employs OpenCV for real-time image processing, the face recognition library for accurate facial …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
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Hybrid Graceful QoS Degradation in Distributed Operating Systems
Abstract: Maintaining Quality of Service (QoS) in distributed operating systems is a critical challenge, especially in dynamic and resource-constrained environments. Traditional QoS mechanisms often fail to adapt effectively to unforeseen failures or load spikes, leading to abrupt service disruptions. This study reviews the concept of hybrid graceful QoS degradation, a paradigm that combines multiple strategies to ensure continuous, albeit potentially reduced, service availability. By intelligently integrating techniques like resource reservation, priority-based …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article