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562 articles for “combined model”
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Fructifying of Electricity Utilizing Wind Leaf –PV Combination Model
Abstract: Abstract—In recent days renewable energies are used to produce electricity which is available at no cost. In this project wind and solar energy are used to fructify electricity with the assistance of aero leaves and solar panels. Few aero leaves are structured in the form of a tree, for producing high power. This tree uses tiny blades which are inbuilt with the aero leaves to produce electricity from wind energy. …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 14–19 Read article
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Deflection Analysis of the Leaf Spring Suspension System with the Combination of Helical Springs
Abstract: An efficient and optimized leaf spring suspension system for heavy vehicles must have low deflection but good damping capacity of absorbing shocks and jerks. In this research article, deflection analysis of a modified leaf spring suspension system with the combination of helical spring model is presented. To furnish this end, in the typical leaf spring suspension system model, a helical spring at each side of the master leaf is incorporated. …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 21–30 Read article
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Modelling and Simulation of a Combined System Geothermal Binary Plant and Parabolic Solar Concentrator
Abstract: The present work describes a new prototype that uses the concentrated solar radiation to improve the performance of geothermal power plants. Current methods of heat recovering have been used to reduce the amount of fossil fuel used to produce vapor or to increase gas pressure and temperature, depending on the type of system; however, concentrated solar energy is an unknown resource that may help to increase vapor production at a …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 23–46 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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Review of Simulation Techniques for Microscopic Mobility of Pedestrian Movement
Abstract: Simulation techniques are very useful for developing models or systems over time torepresent the real-world scenarios. The model represents the key characteristics orbehaviors/functions of the selected physical or abstract system or process. Simulationtechniques are useful when the real system cannot be engaged, because of inaccessibility,or dangerous or is unacceptable to engage or does not exist. Microscopic characteristicsof pedestrian traffic consider speeds, walking directions, distances between pedestrians,relative positions, passing behavior and …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 27–45 Read article
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Experimental Study on the Effect of Combination of Two Ginseng-Containing Prescriptions of Koryo Herbal Medicines and Fluconazole in Systemic Candidiasis Mouse Model
Abstract: We evaluated the efficacy of two Ginseng-containing prescriptions of Koryo herbal medicines combined with fluconazole (FLC) against systemic candidiasis, using experimental mouse model. The results showed that combined with FLC, treatment of mice with Sa-Gun-Za-Tang or Sip-Zon-Dae-Bo-Tang significantly increased the survival rates and decreased the number of viable Candida albicans cells in the kidneys compared with treating animals with FLC alone(P<0.01 for both comparisons). Compared with untreated controls, treatment of …
Published in Research and Reviews: A Journal of Medicine · Vol. 10, Issue 1, 2020 · pp. 24–28 Read article
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Hand Gesture Recognition Systems: A Review of Vision-based and Sensor-based Approaches
Abstract: With many real-world uses, such as sign language translation and human-computer interaction, hand gesture detection is a crucial area of study in the science of computer vision. In this study, we propose a Convolutional Neural Network (CNN) model that uses real-time camera images to recognise hand gestures. A collection of hand motion photographs spanning the English alphabet (A-Z) was gathered, and the images were pre-processed to exclude any backdrop and …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Comparison and Analysis of Facial Emotion Detection Using Various Deep Learning Neural Networks
Abstract: Facial emotion recognition employs Convolutional Neural Networks (CNNs), Residual Networks (ResNet), Long Short-Term Memory (LSTM) networks, and Deep Neural Networks (DNNs) to automatically identify various emotions, including disgust, anger, fear, happiness, sadness, surprise, and neutrality. This study utilizes transfer learning along with data preprocessing techniques such as rotation, flipping, brightness adjustment, and enhancement methods. Traditional machine learning models achieve an accuracy range of 45 to 50%. In contrast, our proposed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 37–42 Read article
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Study of Proximity Points and Fixed Points
Abstract: This paper explores the concepts of proximity points and fixed points, which are fundamental in mathematical analysis and nonlinear functional analysis. Fixed-point theorems play a crucial role in optimization, game theory, differential equations, and dynamic systems. Proximity points, an extension of fixed points, provide a more generalized approach, allowing near-coincidence rather than exact identity. The study discusses classical fixed-point theorems, such as Banach’s contraction principle, Brouwer’s fixed-point theorem, and Schauder’s …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 28–31 Read article
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Debris Flow Kinetics in Planetary Environments: A Systems Perspective
Abstract: Debris flow kinetics in planetary environments represent a critical intersection of geomorphology, fluid mechanics, and planetary science. These gravity-driven flow mixtures of solids, liquids, and gases play a key role in shaping planetary surfaces and recording environmental histories. This study adopts a systems perspective to analyze debris flow behavior across different planetary contexts, emphasizing the interconnected roles of material properties, energy transformations, and environmental forcing. By integrating rheological models with …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 08–17 Read article
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Integrative Therapeutics for Antimicrobial Resistance and Autoimmune Disease: Evidence and Pathways
Abstract: Background: Antimicrobial resistance (AMR) is accelerating globally, while autoimmune diseases and adverse drug reactions (ADRs) continue to rise. Ayurveda offers immunomodulatory, antimicrobial, and detoxification‑oriented interventions that may complement biomedical strategies. Objective: To propose a hypothesis‑driven integrative model combining Ayurvedic phytotherapy, panchakarma detoxification, and personalized dosha‑based care with evidence‑based medical management to mitigate AMR emergence, modulate autoimmunity, and reduce ADR incidence. Methods: A synthesis of mechanistic literature on Ayurvedic herbs with …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 25–30 Read article
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Implementation of Real Time Pricing in Deregulated Power Sector
Abstract: This paper proposes an approach for implementation of Real Time Pricing in deregulated power sector. In this paper, combined model consisting of the pool, bilateral and multilateral transaction of deregulated power sector has been considered. In deregulated power sector, power schedule is decided 24 h ahead of real market but some of the market participants are diverted from their commitments regarding either supply of scheduled generation or withdrawal of scheduled …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 1, 2014 · pp. 25–36 Read article
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Penalization for Unscheduled Interchange based on Availability Based Tariff in Competitive Electricity Market
Abstract: This paper presents a technique for the penalization of unscheduled interchange within deregulated power sector, it derives its features from a successful frequency linked tariff scheme operational in India and known by the name of Availability Based Tariff (ABT). In this paper, combined model consisting of the pool, bilateral and multilateral transaction of deregulated power sector has been considered, the power market is mostly scheduled for 15 min, one or …
Published in Trends in Electrical Engineering · Vol. 3, Issue 3, 2013 · pp. 51–61 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Modeling of ZnO Based Nano Sensor Device for Evaluating Electronic Interaction with NO2 Pollutant: Combining Multiphysics Simulation and DFT Study
Abstract: This study focuses on the designing and modeling of a sensor device employing zinc oxide (ZnO) nanowires (NWs), and the evaluation of the chemical response of the same in the presence of nitrogen dioxide (NO2), which is an acute harmful pollutant for human health and environment. Experimentally synthesized ZnO nanostructures were used as the basis for modeling of the ZnO NWs based sensor device along with a single ZnO NW, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 211–219 Read article
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article
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A Hybrid Machine Learning Approach for Enhanced Patient Diagnosis and Health Outcome Prediction
Abstract: Rapid and accurate diagnosis is essential to present day practitioners of medicine, yet can be complicated by the enormous volume and complexity inherent in clinical data. To this end, we here propose a hybrid machine learning model in combination with Recursive Feature Elimination (RFE) and ensemble voting to enhance the diagnostic accuracy by integrating multiple models. Trained on real-world electronic health data, including lab results, demographics and medical history, the …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article