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562 articles for “combined model”
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Study on the Profile and Flow Field Variation of Parachute Coating by Seven-hole Probe Method
Abstract: In general, the parachute test is a long test cycle, expensive, and difficult to measure with accuracy, which makes it a very laborious and time-consuming task. Therefore, attempts have been made to overcome this by using a parachute test stand or by simulation, but in our country, there is no numerical simulation of the parachute and there is no research on it. In this paper, the variation of the shape …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 26–37 Read article
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Early Heart Disease Prediction Using Hybrid Machine Learning Techniques
Abstract: In the contemporary era, cardiovascular disease is one in all the most causes of death within the world. Estimating Heart problems i.e cardiopathy is a crucial challenge within the area of clinical data analysis. Large volumes of data produced by the healthcare sector have been proved to be useful for helping with decision-making and speculation, thanks to machine learning (ML).. Various studies help us to review and supply glimpse into …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 35–41 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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INFLUENCE OF CLIMATIC CHANGES ONTO THE PERFORMANCE OF ELECTRIC VEHICLES: APPLICATION TO DRIVING RANGE
Abstract: The paper has the goal of developing a methodological process to predict electric vehicle driving range under the influence of sudden temperature changes in intercity routes due to variable climatic conditions. The model is based on the combined effects of discharge rate and temperature changes on the performance of a lithium battery; the model predicts the driving range using the dynamic driving conditions to determine the Depth-Of-Discharge (DOD) at any …
Published in Journal of Automobile Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 43–58 Read article
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Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Enhancing Tourism with Augmented Reality
Abstract: The integration of Augmented Reality (AR) technology into the tourism sector has created new opportunities for improving how travelers interact with their environment. This study explores the innovative idea of using AR technology to transform the tourist experience by offering a seamless combination of interactive 3D models, historical information, and navigation assistance. The proposed concept centers on using AR-enabled QR code scanning to provide tourists with an immersive 360-degree exploration …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 9–14 Read article
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An Empirical Study of Hyperparameter Impact on Deep Learning Models for Cardamom Leaf Disease Classification
Abstract: Recent advancements in deep learning models like convolutional neural networks and self- attention mechanisms have achieved great success in the field of plant disease classification. This study investigates the efficacy of two pre-trained models, ConvNeXT-Tiny and Swin Transformer-Tiny, for leaf disease classification in cardamom using a publicly available dataset constituting three categories of leaves, namely Healthy, Colletotrichum Blight and Phyllosticta Leaf Spot. The effectiveness of the models highly depends on …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 48–60 Read article
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Physics, Metaphysics, and the Subtle Sciences: A Dialogue between Indigenous Worldviews and Microvita Theory
Abstract: This paper explores the convergence of physics, metaphysics, and subtle sciences through a comparative analysis of indigenous knowledge systems and P.R. Sarkar’s Microvita Theory. Indigenous worldviews across various cultures articulate a holistic understanding of reality in which consciousness, matter, and life processes are deeply interconnected. These frameworks increasingly resonate with developments in quantum physics and systems theory that challenge classical mechanistic paradigms. Microvita Theory, introduced by P.R. Sarkar, posits the …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 1–13 Read article
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Integrating Traditional Medicine with Modern Health Practices
Abstract: Traditional medicine has been an integral part of global healthcare for centuries, rooted in cultural heritage, and natural remedies. However, with advancements in modern healthcare practices, a divide has formed between traditional and contemporary approaches. This paper explores the potential integration of traditional medicine with modern health practices, emphasizing evidence-based benefits, challenges in harmonization, and policy frameworks for effective collaboration. Through an interdisciplinary analysis, we argue that integrating these systems …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 3, 2025 · pp. 20–26 Read article
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Engineering Hydrology for Flood Control, Adequate Water Resources and Sustainable Environment in Nigeria
Abstract: Life is dependent upon water, and the knowledge of hydrology must be deployed to tackle issues related to floods, water scarcity, and environmental and climate change. This article examines engineering interventions through hydrology for flood control, adequate water resources, and a sustainable environment in Nigeria. The methodology adopted includes a literature review, survey-based studies, and systematic sampling with basic random sampling. Findings revealed that excess precipitation has serious negative effects …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 2, 2023 · pp. 1–10 Read article
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AI-Driven Intelligent Energy Management System for Enhancing Electric Vehicle Efficiency and Range
Abstract: Electric Vehicles (EVs) are crucial in mitigating the emission of greenhouse gases and facilitating sustainable transportation. Their performance is however limited by the capacity of the battery, unpredictable weather conditions and ineffective use of energy. The paper suggests an AI-based Intelligent Energy Management System (IEMS) to increase EV efficiency and driving range. The suggested system combines machine learning (ML), model predictive control (MPC), and real-time data analytics to optimize power …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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The Role of BIM and Parametric Intelligence in Architectural Practice: A Study of Architects in Uttarakhand
Abstract: Dehradun, the capital city of Uttarakhand, represents one of India’s youngest and most dynamic urban centers in Uttarakhand. Since its designation as the state’s capital, the city has experienced a rapid evolution in architectural development and construction technology. As urbanization and design demands increase, architectural practices in Dehradun and across Uttarakhand are progressively shifting from conventional methods toward advanced digital tools that promote precision, efficiency, and sustainable outcomes. Among these, …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 19–38 Read article
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Dynamic Response Analysis of Isotropic and Orthotropic Rectangular Plates under Clamped-Free Conditions
Abstract: This study explores Theoretical and numerical tools of determining the free vibration properties of isotropic and fiber-reinforced composite rectangular plates. The effect of anisotropy of materials on the dynamic response of the plates is compared between the Aluminium plates and the glass-epoxy laminates. The model used in the study is a three-dimensional finite element model that is designed using a combination of SolidWorks and ANSYS workflow. Clamped-free boundary conditions are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 258–274 Read article
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Optimization of Combined Cooling, Heating and Power Plant
Abstract: In today’s world where there are energy crises, there is a need to conserve the same. In order to conserve the energy, it is imperative to utilize its available forms as per the requirement that arise from the end user. In this paper, modeling and optimization of a combined cooling, heating and power (CCHP) plant is done wherein minimization of exergy destruction is set as an objective function. Electric and …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 1, 2017 · pp. 7–14 Read article
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Predictive Modeling System for Automated Skin Lesion Classification Using Deep Neural Networks and Voting Ensembles
Abstract: Skin cancer is one of the most prevalent cancers globally. Early and accurate diagnosis is critical for timely treatment and improved prognosis. This study presents a predictive modeling system for automated classification of skin lesions from dermoscopic images using deep neural networks and voting ensemble techniques. A customized 16-layer convolutional neural network architecture is developed for feature learning from lesion images. The concept of horizontal voting ensemble is implemented by …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 29–35 Read article
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Artificial Intelligence and Constitutive Modeling Equations for Predictive Design of High-Performance Polymer Composites
Abstract: Growing polymer composite applications demand accurate mechanical prediction, yet complex interactions and conventional constitutive models limit predictive capability and require extensive calibration. To report these challenges, this research recommends a combined Artificial Intelligence (AI) and constitutive modeling approach based on an Enhanced Tasmanian Devil Optimizer-tuned Residual Neural Network with Multilayer Perceptron (ETDO-ResNet-MLP) for the predictive design of high-performance polymer composites. The study uses a publicly available Polymer Composite Property Dataset …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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HYBRID ENERGY SOURCES
Abstract: As we all recognise, the global generating capacity is increasing every day. Nations are moving towards renewable energy sources of energy to reduce the carbon footprint, air pollution & which will be able to give pure & eco-pleasant power not including providing effect on the natural environment and natural reserves reduction. Whereas, at the same time, renewable energy sources have some major disadvantages like they are not reliable or we …
Published in Trends in Electrical Engineering · Vol. 12, Issue 2, 2022 · pp. 18–27 Read article
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Non-Homogeneous Effect on Vibration of Visco-Elastic Rectangular Plate Having Parabolically Varying Thickness in Both Directions
Abstract: At present the vibration theory has become significant in every sphere of applied sciences. In the advance time, the plates of variable thickness are widely used in civil, aeronautical, mechanical, electronics and marine structures like jet engines designing, space crafts, gas turbines, nuclear power projects etc. The effect of variation of non-homogeneity on vibration of visco-elastic rectangular plate with parabolically varying thickness in both directions is presented in this paper. …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 31–45 Read article
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AI-integrated Responsive Polymer Composites for Controlled Drug Delivery
Abstract: In the current biomedical engineering, it has been established that the development of smart drug delivery systems has become a paramount of relevance especially in ensuring precise, controlled and targeted therapeutic effects. This paper proposes a responsive polymer composite architecture with built-in AI, which is used to deliver drugs in a controlled manner and involves the development of advanced material design and predictive modeling based on data. Biocompatible materials and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article