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645 articles for “traditional methods”
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Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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A Review of Brief Study on Nyctanthes arbor-tristis
Abstract: Nyctanthes arbor-tristis, commonly called Parijat or Night-Flowering Jasmine, is a medicinal shrub with significant therapeutic value. This article provides a detailed examination of the plant’s pharmacological effects, traditional applications, phytochemical composition, and botanical features, along with its potential for therapeutic use. Known for its longstanding role in Ayurvedic and other traditional medical practices, Nyctanthes arbor-tristis has been traditionally used to treat a wide range of ailments, with recent studies confirming …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 2, 2025 · pp. 24–30 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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Quantitative Image-Based Assessment of Degradation Patterns in Polymer-Based Medical Implants
Abstract: Polymer-based medical devices are widely used in clinical practice, where long-term material degradation can compromise performance and patient safety. Traditional polymer degradation studies predominantly rely on laboratory-based experiments, which often fail to capture real-world operational and usage conditions. In this study, a multimodal, data-driven framework is proposed for the quantitative assessment of degradation patterns in polymer-based medical devices using publicly available clinical failure data. Structured operational parameters, including cumulative usage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1510–1518 Read article
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Medicinal Properties of Oxytenanthera abyssinica: A Narrative Review
Abstract: Oxytenanthera abyssinica, a plant local to the African landmass, has gotten a parcel of intrigued in later a long time for its conceivable restorative benefits; it has been utilized in conventional medication for decades since of its assumed mending capabilities. In spite of its long history, careful logical examination into its restorative potential is being attempted. This review paper explore into the multidimensional part of O. Abyssinica is in progressed …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 2, 2026 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Emerging Trends in Civil Engineering: Sustainability and Digital Transformation
Abstract: Civil engineering has long played a pivotal role in shaping society’s infrastructure, focusing traditionally on construction, design, and the structural integrity of buildings, roads, and bridges. However, recent years have witnessed a profound transformation in the field, driven by the urgent need for sustainable practices and the rapid evolution of technology. This paper provides an in-depth analysis of the latest trends that are redefining civil engineering, with a particular emphasis …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 8–11 Read article
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Swarm-Enabled AI for Smart Mobility and Sustainable Transport
Abstract: The significant issues facing the modern urban infrastructure are the management of road traffic problems, such as severe traffic congestion, the detection of unsafe driving behavior, and road safety. The traditional ground-based surveillance systems will be helpful, but they will reach their limits in large and dynamic environments. It is because of predetermined perspectives, blindness, and the inability to scale. To designate these problems, the present study proposes a traffic …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 33–38 Read article
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Integration of Modular Multilevel Converter Topology in the Design and Control of Hybrid Electric Vehicles
Abstract: A back-to-back modular multilevel converter (BMMC) based plug-in hybrid electric vehicle power conversion system is proposed to solve the problems of traditional MMC-EV. The local AC harmonics generated by the operation of MMC-EV accelerate the battery degradation and reduce the battery life. Currently, electric vehicles are in great demand due to the rising oil prices and environmental pollution concerns. Since the backbone of electric vehicles is the energy storage system, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1195–1205 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Direct Synthetic Routes of MXenes and Their Application in Carbon Fiber Reinforced Plastics (CFRPs) As Supplementary Sizing Layer†
Abstract: Sized carbon fibers with a supplementary sizing layer of MXenes (synthesized via traditional MAX phases), bonded to carbon fibers (CFs) as well as the resin matrix via different kinds of physicochemical (van der Waals force, hydrogen bonding, covalent bonding) interactions enhanced the performance of the resulting carbon fiber reinforced plastic (CFRP) materials. This is because of the strong interface generated due to the appearance of MXene at the interface of …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 07–13 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Generative AI-Based Inverse Design of Sustainable Biodegradable Polymers with Target Mechanical and Thermal Properties
Abstract: The escalating global plastic pollution crisis has intensified the urgent need for sustainable biodegradable polymer alternatives that can match or exceed the performance of conventional petroleum-based plastics while minimizing environmental impact. However, traditional polymer discovery approaches are severely constrained by high experimental costs, protracted development cycles spanning years, and fundamental inability to simultaneously optimize multiple conflicting material properties such as mechanical strength, thermal stability, and degradation kinetics. This study presents …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Thermal Analysis of Kirloskar VCR Engines Using Blended Biodiesels under Varying Loads
Abstract: The increasing demand for sustainable energy has prompted much research into environment-friendly substitutes for traditional fossil fuels. In this study, the thermal performance and emission characteristics of Kirloskar Variable Compression Ratio (VCR) diesel engines evaluated with varying load conditions using biodiesel-sourced oil blended with soybean oil are discussed. B0 (pure diesel) to B100 (pure biodiesel) blends were considered for the study to assess their effects on parameters, like brake thermal …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 19–34 Read article
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Zoology in Forensic Science: Unraveling Mysteries through Animal Clues
Abstract: Traditionally, forensic wisdom has been grounded on mortal substantiation similar as fingerprints, DNA, and bloodstains to unravel the riddle of crimes. There's important untapped eventuality in the beast area that could unravel mystifications and bring culprits to justice. This composition explores the instigative area of crossroad of zoology and forensic wisdom by demonstrating how suggestions from creatures can be significantly contributed to felonious examinations. From beast poisons in analysis to …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 37–49 Read article
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Synthesis and characterization of mixed SnO2-ZnO Nano composites material to study the kinetics of catalytic reduction of Aromatic Nitro compounds
Abstract: A straightforward and cost-effective method was employed to synthesize zinc oxide (ZnO) nanostructures supported on tin oxide (SnO₂) for catalytic applications. This hybrid nanocomposite, formed by integrating ZnO with SnO₂, exhibited impressive catalytic activity in the reduction of various nitro compounds. The synergistic interaction between ZnO and SnO₂ significantly enhanced the surface area and active sites of the catalyst, thereby improving its overall efficiency. The resulting SnO₂-ZnO nanocomposite not only …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 8–14 Read article
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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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Influence of Nanomaterial on Biofuel Extracted from Lemon Seed Feedstock
Abstract: Biodiesel, which is a type of biofuel, offers a replacement to the traditional diesel fuel currently available on the market, which is derived from petroleum that is both more sustainable for the environment and more attractive from an economic standpoint. A plethora of environmental benefits can be obtained through the utilization of this technology, including a reduction in emissions of greenhouse gases and particulate matter, as well as the possibility …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 200–210 Read article
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The Effects of Energy Consumption on the Turning Process for Various Work-Piece Materials
Abstract: The study modified its goal to energy-intensive titanium alloys, contrasting traditional and high-speed machining processes. According to the study, a solution is needed to reduce or optimize energy use. So, a machined component energy footprint model was created. Several cutting speeds were used to calculate (k). Material removal rates were compared to cutting speeds for a range of materials and levels of detail. A strategy for selecting optimal cutting conditions …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 54–65 Read article
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Accuracy Improvement for Propeller Cavitation Noise Prediction Using UDF
Abstract: Recently, there has been an increase in demand for propulsion systems with higher hydrodynamic performance and lower underwater-radiated noise, as environmental issues are gaining more attention in addition to the traditional military necessity. It is important to reduce cavitation noise when designing propellers of the ships, especially for oceanographic research vessels because they use acoustic instruments and cavitation noise can interfere with their operation. It is well known that, when …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article