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1058 articles for “Model optimization”
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Computer Data Processing and Empirical Economics
Abstract: This is an article on empirical economics and computer data processing that discusses how computational technology have changed empirical research methods. It analyses how computer systems have changed data management, statistical modelling, and econometric analysis, focussing on large-scale data processing, algorithmic efficiency, and repeatability. Forecasting, policy simulation, and panel data analysis are key uses. The paper also addresses data quality, computational, and ethical issues in economic data use. The paper …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 09–20 Read article
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Static Structural Analysis and Bridge Modeling Using ANSYS
Abstract: Structural analysis is a crucial discipline within civil engineering that ensures built structures are safe, durable, and capable of performing the functions for which they are intended. This scientific approach is essential for confirming that all safety requirements are met, thereby allowing structures to fulfill their purpose efficiently and economically over their design lifespan. The principles of structural analysis originate from the collaborative efforts of engineers across various domains, all …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 27–32 Read article
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Secure Framework for Government Tender Allocation
Abstract: Governments and public sector entities worldwide are actively seeking innovative strategies to adapt to rapid technological progress, aiming to enhance governance effectiveness, streamline work processes, and optimize expenditure. Blockchain technology stands out as a prime example, captivating the interest of governments globally in recent years. Its ability to offer heightened security, enhanced traceability, and cost-efficient infrastructure positions blockchain as a versatile solution applicable across diverse sectors. Typically, governments engage third-party …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 23–27 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Integrating Digital Twins, Smart Materials, and Human Machine Collaboration for Sustainable Smart Manufacturing: Smart CNC & Industry 4.0 Applications
Abstract: The rapid evolution of Industry 4.0 and the emerging transition toward Industry 5.0 have been catalyzed by the convergence of intelligent digital technologies such as digital twins, cyber–physical systems (CPS), artificial intelligence (AI), the Internet of Things (IoT), and human-in-the-loop (HITL) frameworks. These technologies have transformed traditional manufacturing into adaptive, data-centric ecosystems capable of real-time optimization and predictive decision-making. In recent years, the fusion of computer numerical control (CNC) machines, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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AIducate: Your Smart Tutor–A Survey
Abstract: The ongoing “datafication” of our social reality has led directly to the emergence of new data-driven business models across various sectors, including education. As a result, the market for educational services is rapidly expanding. Educational technology (EdTech) companies are at the forefront, offering data-driven pedagogical solutions that are reshaping the landscape of learning. Despite the market's growth, few companies are harnessing the full potential of artificial intelligence (AI) and machine …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 25–30 Read article
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A Study on Smart Healthcare Innovations
Abstract: The desire for effective, patient-centred solutions and the rapid growth of technology are driving forces in the healthcare industry. The term "smart healthcare innovation" refers to a broad category of approaches, tools, and procedures that are intended to improve patient outcomes, optimize resource use, and enhance overall healthcare delivery. These innovations integrate cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), wearable devices, big data analytics, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 63–68 Read article
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A Comparative Study on Nutritional Assessment and the Health of Toddlers (1–3 year) in Urban and Rural community of Ludhiana, Punjab, India.
Abstract: Toddlerhood is difficult exiting interesting period of life. Developmental milestones are a set of functional skills or age-specific tasks that most children can do at a certain age range. The study sample was 500 toddlers aged 1–3 year was selected, 250 from urban and 250 from almost equal number of male and female toddlers. A modified conceptual frame work of the study was based on the Callista Roy Adaptation Model. …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 2, 2018 · pp. 6–15 Read article
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Performance Investigation on Boost Converter with Non-Isolated Coupled Inductor Using PSO-DFFP Controller with Stand-Alone PV System
Abstract: The stand-alone PV system with a Partial Swarm Optimization with Distinctive Feed Forward Propagation (PSO-DFFP) controller based Boost converter is designed with coupled inductor has been simulated. The steady state / dynamic performance of the proposed system have been analyzed using MATLAB simulation. The proposed controller has been developed to decrease ripple and improve the efficiency of the system. However, the linear controllers are influenced by the system parameters of …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 1, 2022 · pp. 32–49 Read article
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Site Suitability Analysis of Soil and Water Conservation Structures in Sillod Watershed, Maharashtra, India using Geographic Information System Approach: A Case Study
Abstract: Watershed development and management programs envisage the development activities along with sustainable utilization of natural resources would raise the living standards of watershed inhabitants. Construction of soil and water conservation structures is the main activity of watershed development program. Location of soil and water harvesting structures in watershed is very important factor for efficient watershed development program. Construction of water harvesting structures at best suitable location will not only conserve …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 22–32 Read article
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Anticancer, Bioactive, & Therapeutic Applications of Cannabinoids
Abstract: Cannabinoids, a complex class of lipophilic compounds found in Cannabis sativa L., are attracting significant clinical interest for their multifaceted therapeutic potential, particularly within oncology. This review provides a comprehensive synthesis of contemporary knowledge detailing the distinct anti-cancer properties of phytocannabinoids (such as δ-tetrahydrocannabinol and cannabidiol), endogenous endocannabinoids, and synthetic analogues. Accumulating evidence from robust in vitro and in vivo oncological models demonstrates that these compounds aggressively suppress tumor progression …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 17–30 Read article
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Graphene–Perovskite Hybrid Opto-Electronic Modulators for Ultra-Low Power Optical Communication
Abstract: This paper proposes a novel self-adaptive neuromorphic opto-electronic transceiver architecture designed to enhance the intelligence, adaptability, and efficiency of next-generation optical communication networks. The proposed system integrates neuromorphic computing principles with photonic signal processing to enable real-time learning, dynamic resource allocation, and autonomous compensation of channel impairments such as dispersion, nonlinearities, and noise. Unlike conventional transceivers, the developed model employs spiking neural networks embedded within opto-electronic circuits to mimic biological …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 41–52 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Extended Fixed Point Theorems in Menger PM-Type Spaces: Generalized Auxiliary Functions and Contractivity Conditions
Abstract: Background: Fixed point theory in probabilistic metric spaces, particularly Menger spaces, has been a subject of intensive research due to its applications in nonlinear analysis and mathematical modeling. Traditional approaches often impose restrictive constraints on the defining properties of Menger spaces and limit the class of auxiliary functions in contractivity conditions Methods: We extend recent fixed point theorems in Menger spaces by: (1) introducing the notion of Menger PM-type spaces …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
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A Computational Study of Lift and Drag Characteristics for NACA 4415 and NACA 2412 Aerofoils
Abstract: The performance of an aerofoil is crucial in designing wind turbine blades, aircraft wings, and other aerodynamic surfaces. This project presents a comparative analysis of two widely used aerofoil profiles, NACA 4415 and NACA 2412, to study their lift and drag characteristics under different flow regimes. The aerofoil geometries were developed using the NACA four-digit notation and modeled in ANSYS Design Modeler. Numerical simulations were conducted in ANSYS Fluent for …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1298–1315 Read article
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Influence of Epoxy-Based Thermally Conductive Polymer Composites on the Thermo-Hydraulic Performance of Finned Helical Coil Heat Exchangers Across Flow Regimes
Abstract: The use of polymer composites in heat exchanger applications has gained increasing attention due to their advantages in weight reduction, corrosion resistance, and design flexibility. However, their relatively low thermal conductivity compared to conventional metallic materials remains a key limitation for efficient heat transfer. In this study, the thermo-hydraulic performance of a finned helical coil heat exchanger is investigated with particular focus on epoxy-based polymer composites reinforced with thermally conductive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 586–602 Read article
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Analysis of Friction Stir Welding Utilizing ANSYS: A Study Based on Simulation
Abstract: Friction Stir Welding (FSW) represents a sophisticated solid-state welding methodology that has attracted considerable scholarly attention due to its efficacy in amalgamating high-strength, lightweight substrates including aluminium, magnesium, and titanium alloys. FSW enables the fabrication of defect free products with a substantial amount of mechanical and wear properties. The process is highly sensitive to various parameters that significantly influence the quality and strength of the final product. Studies have shown …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 62–77 Read article
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Analysis of Surface Roughness and Material Removal Rate in Engine Valve Turning Operation of Material SUH3
Abstract: The purpose of this paper is to present an experimental work attempting to optimize the influencingprocess parameters involved in dry machining of the exhaust engine valve of material martensiticstainless steel grade SUH3. Looking at available literature it is observed that a lot of work can be donein the field dry machining related to surface integrity but no work can be reported on investigationimplementation of dry machining in engine valve manufacturing …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 17–22 Read article