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786 articles for “model-based approach”
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Comparison of Estimates, BIM based software VS conventional method
Abstract: Now a day technology is changing rapidly, from first computer to AI it is making our lives more simpler and less error prone. Construction is one sector that has adapted to new technologies swiftly and successfully. The long process of sketching quantities by hand from paper copy to CAD has been streamlined thanks to the introduction of BIM. It's common knowledge that the building industry uses a broad range of …
Published in Recent Trends in Civil Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 52–62 Read article
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An Analysis of Graph Database in Data Modelling and Analysis for a Recommendation System
Abstract: This research work focuses on graph databases, mainly Neo4j databases, in recommendation systems for e-commerce websites. The importance of research is that it explains how graph databases efficiently handle the complex relationship between user-items, which is difficult for traditional databases. Sparsity, limited diversity, and high setup costs are the challenges traditional databases face. This research work overcomes these problems using Ne04j with Cypher query language and graph algorithms (PageRank, Shortest …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 33–39 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
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Machine Learning Regression Based Approach for Prediction of the Ultimate Tensile Strength of Tungsten Inert Gas Welded Joints
Abstract: Many leaders in technology education have shown that the main difference between the technical design process and the process of engineering construction analysis and efficiency [1–3]. The engineering analysis phase of the construction process is where the mathematical and scientific models principles are used to help the designer predict the design results. The engineering feasibility phase process is a systematic process that uses structural elements and conditions to allow the …
Published in Trends in Machine design · Vol. 8, Issue 2, 2021 · pp. 1–10 Read article
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A Novel Deep CNN Model for COVID-19 Detection based on Lung CT Images
Abstract: In recent months, worldwide society has been destroyed by COVID-19 (Coronavirus Disease 2019), a catastrophic contagious illness that has ravaged the whole world. Deep learning (DL) approaches are the most widely used strategies for chest CT scan processing and illness prediction in the medical field. COVID-19 is infectious sickness that mostly influences the lungs also has the potential to be fatal if left untreated in its extreme form. It also …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 1, 2022 · pp. 1–14 Read article
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Enhanced Diabetes Prediction: A Comparative Study of Machine Learning Models
Abstract: Excessively high blood glucose levels lead to diabetes, a condition that can be better managed with early detection, resulting in a longer life and improved health. Machine learning models are essential tools in diagnosing diabetes, especially when trained on appropriate and relevant datasets. In this study, a combination of ensemble methods and nine distinct machine learning algorithms were utilized to develop a predictive model for diabetes diagnosis based on a …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Tribological Behaviour of PTFE based Composite Materials with Different Filler Materials: A Combine Numerical and Experimental Approach
Abstract: This study investigates the tribological behaviour of Polytetrafluoroethylene (PTFE) composites reinforced with various fillers, utilizing the Archard wear model to analyse wear mechanisms and predict wear rates. PTFE is widely recognized for its excellent chemical resistance and low friction, but its inherent wear resistance is relatively poor. To enhance its tribological properties, fillers such as glass fibres, carbon fibres, bronze, and graphite were incorporated into the PTFE matrix. In the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 547–557 Read article
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From Quantum Chemistry to Bioprocess Intensification: Advanced Computational Modeling and Enzyme-Based Catalytic Platforms for Green Chemical Transformations
Abstract: Green chemistry requires the development of sustainable catalytic systems that minimize waste generation, reduce energy consumption, and improve process efficiency. Computational chemistry and biocatalysis have emerged as complementary approaches for environmentally responsible chemical manufacturing. Computational techniques such as quantum chemistry, density functional theory (DFT), molecular dynamics, and machine learning provide mechanistic insights into catalytic reactions and support the rational design of efficient catalysts. These approaches enable the prediction of reaction …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 45–52 Read article
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Knowledge On Biomedical Waste Management Among II Year GNM Students At Dr.B.R.Ambedkar Institute Of Nursing,Bengaluru
Abstract: Objectives: To assess the knowledge on Biomedical waste management among II Year GNM Students at Dr.B.R.Ambedkar Institute of Nursing,Bengaluru.”To associate the knowledge on Biomedical waste management among II Year GNM Students with their selected demographic variables.Hypothesis: There will be a significant association between the level of knowledge on biomedical waste management among II Year GNM Students with their selected demographic variables.Conceptual framework: The conceptual framework based on Health Belief Model, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 52–69 Read article
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Thermal Analysis of Coolant System for Electric Vehicle
Abstract: An electric car condenser system's thermal examination is presented in this study. The goal is to examine thesystem's ability to dissipate heat underneath various operating circumstances and with various condenser fluids. Anexperimental model for the system is created as part of the study and is based around the limit volume approach. Thecoolant's temperature and the heat transfer coefficients between it, the energy source, and the motor are taken intoconsideration by …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 10, Issue 1, 2023 · pp. 22–35 Read article
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First Law Analysis of Adsorption Cooling System
Abstract: Steady state thermodynamic differential analysis is developed for the adsorption-based cooling systems. The introduced thermodynamic model represents the behaviour of adsorption cooling systems, based on a precise, reasonable, and clear fundamental approach. The energy conservation principle is used to analyze components and processes in the system. The dynamics of adsorption is expressed using Dubinin-Astakhov adsorption equilibrium model. Energy interactions are evaluated to determine the theoretical performance and the operating parameters …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 1, Issue 2, 2014 · pp. 14–23 Read article
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Integrating Biotechnology, Physiology, and Agroecological Practices for Sustainable Crop Production and Protection
Abstract: Global agriculture is currently confronting a wide range of complex challenges, including a rapidly growing population, climate change, increasing pest and disease pressures, soil degradation, water scarcity, and the urgent need for sustainable intensification of crop production. Addressing these issues requires integrated strategies that combine crop improvement (through modern breeding and biotechnology), precision agronomic practices related to soil, irrigation, and nutrition, as well as advancements in plant physiology, molecular biology, …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Importance of Clinical Decision Making by Nurses in Care of Patients in Acute Care Settings
Abstract: Clinical decision making is a complex process. Healthcare workers need to consider various aspects of healthcare using a vast body of knowledge while formulating a clinical decision. More recently, clinical decision making has become a collaborative process and patients are also involved as much as possible. The ultimate goal of every clinical decision making is to achieve the best health outcomes for the clients. Through review of relevant literatures, seven …
Published in Journal of Nursing Science & Practice · Vol. 4, Issue 1, 2014 · pp. 9–13 Read article
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Molecular Docking, QSAR Modeling, and ADMET Evaluation of Novel Pyrazolo-Pyrimidine Derivatives as Potential CDK-2 Inhibitors for Cancer Therapy
Abstract: Cyclin-dependent kinase-2 (CDK-2) is an essential regulator in cell cycle progression and is an important therapeutic target in cancer drug development. In the present study, an integrated computational approach involving molecular docking studies, QSAR modeling, ADMET prediction, and artificial intelligence-based analysis was used to identify pyrazolo-pyrimidine derivatives as potential CDK-2 inhibitors. Based on the molecular docking results, it was found that selected compounds exhibited high binding affinity towards the ATP …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Enhancing Road Safety with the Latest Breakthrough: Real-time Vehicle Classification, Counting, and Speed Estimation Using YOLOv8n and Deep SORT Algorithm
Abstract: The real-time vehicle classification, counting, and speed estimation system based on YOLOv8n is an important tool for monitoring traffic flow on highways. However, because they are distinct objects from their surroundings, it is still difficult to detect them, which has an impact on how accurate vehicle counts are. To tackle this concern, this paper suggests the implementation of a vision-centric system for real-time vehicle monitoring and identification. The approach involves …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 10–18 Read article
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Triangular Waveform Generation using Mixed Signal Modeling
Abstract: The development of modeling languages such as Verilog-HDL and Verilog-AMS allows the behavior of analogue and mixed signal circuits to be described with a more lucid way as compared to the conventional circuit-level simulators. Mixed-signal simulators are thus providing a new platform for more efficient modeling of mixed signal that contains both the analogue and discrete features which was not previously possible. The non-linear characteristics of many circuits are still …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 2, 2014 · pp. 8–17 Read article
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DESIGN AND MANUFACTURE OF A CYCLONE SEPARATOR FOR EFFICIENT FILTRATION AT A SUGAR MILLING PLANT
Abstract: The design of a cyclone separator with its system components to achieve efficient collection of bacilli for efficient filtration of milled sugar(sucrose) is reported in this paper. Different concepts for the design of the cyclone separator were considered and subjected to performance evaluation. The design models identified for the cyclone separator were the Stairmand, Swift and ShepherdLapple models. The cyclone separator was sized based on the Shepherd Lapple design approach. …
Published in Trends in Machine design · Vol. 10, Issue 2, 2023 · pp. 1–11 Read article
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Rut Depth Modeling of Modified and Unmodified Asphalt Mixtures by Using Finite Element Approach
Abstract: Two asphalt cements (PG76-22 and PMB PG76-22) and two aggregate gradations used in the construction of surface and base courses were selected to study their effect on the mixtures’ rutting behavior. A dynamic modulus and wheel tracking tests were performed to determine the rutting potential of asphalt mixtures at different temperature levels. The study revealed that modified asphalt cement (PMB PG76-22) with coarse aggregate gradation (base course) may offer more …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 1, 2016 · pp. 65–78 Read article