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1181
Dynamic pricing‐based integration for non‐cooperative ubiquitous sensing and communication network
Published 2024-10-01“…The DPCRA is designed to optimize the spectrum efficiency (SE) of USCN and manages resource interactions between heterogeneous devices through price variables, thereby resolving resource conflicts and deadlocks. …”
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1182
Adoption Drivers of Intelligent Virtual Assistants in Banking: Rethinking the Artificial Intelligence Banker
Published 2025-05-01“…The adoption of Intelligent Virtual Assistants (IVAs) in the banking sector presents new opportunities to enhance customer service efficiency, reduce operational costs, and modernize service delivery channels. …”
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1183
Effectiveness of Single-Person Reset Fixed System for Pediatric Supracondylar Humeral Fractures: Case Series and a Meta-Analysis
Published 2025-12-01“…Objective This study examined the feasibility and effectiveness of utilizing the single-person reset fixed system (RFS) for treating pediatric supracondylar humeral fractures (SHFs) to enhance surgical efficiency and reduce manpower requirements.Methods A retrospective analysis of 10 pediatric SHF cases treated with the Single-Person RF was conducted from 2022 to 2023. …”
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1184
FORMAL REPRESENTATION OF THE PIXEL-BY-PIXEL CLASSIFICATION PROCESS USING A MODIFIED WANG-MENDEL NEURAL NETWORK
Published 2020-09-01“…The purpose of the work is to develop the architecture of the modified fuzzy neural production network of Wang-Mendel as a classifier for image segmentation to increase the values of efficiency and reliability of urban monitoring. The following tasks are solved in the article: analysis of possibilities of Wang-Mendel network modification based on representation of membership functions in terms of interval fuzzy sets of the second type (IFST2) and realization of phasing, aggregation and activation operations using IFST 2 operations, development of the architecture of the modified fuzzy neural production network of Wang-Mendel as a classifier for image segmentation. …”
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1185
A Novel Exploration Stage Approach to Improve Crayfish Optimization Algorithm: Solution to Real-World Engineering Design Problems
Published 2025-06-01“…It is deprived of a stochastic variable and is not able to generate an applicable balance between exploration and exploitation. …”
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1186
A comprehensive review on the integration of artificial intelligence in friction stir welding for monitoring, modelling, and process optimization
Published 2025-06-01“…Lastly, the third section pertains to the optimization of FSW parameters, illustrating how AI-driven algorithms analyze complex interactions among multiple variables to determine the most effective process settings. …”
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1187
The Effect of Ohmic, High-Pressure Carbon Dioxide (HPCD), and Maceration Extraction methods on Bioactive Compounds of Iranian Brown Algae (Nizimuddinia zanardini)
Published 2024-10-01“…Marine algae are a rich source of bioactive compounds with promising applications as nutrients, functional food ingredients, and therapeutic agents. …”
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1188
Deep Transfer Learning-Based Performance Prediction Considering 3-D Flux in Outer Rotor Interior Permanent Magnet Synchronous Motors
Published 2025-04-01“…Accurate performance prediction in the design phase of permanent magnet synchronous motors (PMSMs) is essential for optimizing efficiency and functionality. While 2-D finite element analysis (FEA) is commonly used due to its low computational cost, it overlooks important 3-D flux components such as axial leakage flux (ALF) and fringing flux (FF) that affect motor performance. …”
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1189
Elevator Control Simulation Using Fuzzy Logic Management
Published 2024-12-01“…Within a set of fuzzy rules, three important linguistic variables are added to improve the performance of the elevator group. …”
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1190
Can digital transformation improve the transparency and accountability of Indonesian public governance?
Published 2025-01-01“…Public administration can increase transparency, efficiency, public participation and data-based decision-making. …”
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1191
A Robust Adaptive Strategy for Diesel Particulate Filter Health Monitoring Using Soot Sensor Data
Published 2025-04-01“…This study investigates an advanced diagnostic strategy to assess particulate filter health based on resistive soot sensors and available engine variables. The sensor data are projected to generate a 2D signature that reflects the changes in filtration efficiency. …”
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1192
Deep Learning Approaches for Morphological Classification of Intestinal Organoids
Published 2025-01-01“…The use of deep learning (DL) in organoid image analysis becomes crucial to handle complexity, variability, and large amounts of data efficiently and accurately, overcoming the limitations of traditional image processing approaches. …”
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1193
Multimodality Data Integration in Epilepsy
Published 2007-01-01“…Moreover, an effort was made to derive quantitative variables (such as the spatial proximity index, SPI) characterizing the relationship between complementing modalities on a more generic level as a prerequisite for efficient data mining strategies. …”
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1194
Reconfiguration of dynamic brain networks in heart failure with preserved ejection fraction: Linking neurovascular coupling and cardiac dysfunction
Published 2025-10-01“…Results: (1) Static network topology properties exhibited significantly decreased local network efficiency among patients with HFpEF. The connectivity strength and information processing efficiency were diminished in the left parahippocampal gyrus, left cingulate gyrus, and right insular gyrus brain regions, and improved in the left thalamus, right fusiform gyrus, and right precuneus regions. (2) Dynamic network topology properties of patients with HFpEF showed decreased variability in critical nodes and brain subregions (e.g., the superior frontal gyrus, left amygdala, and left fusiform gyrus) and compensatory increases in the variability of specific regions (e.g., right insular gyrus, right postcentral gyrus, and right temporal gyrus). (3) In HFpEF, the static and dynamic functional brain network topology properties of the fusiform gyrus, cingulate gyrus, superior temporal gyrus, precuneus, parahippocampal gyrus, insular gyrus, and amygdala regions were significantly correlated with cardiac structural and functional indices, such as LVDd, LVMI, and E/e′ ratio. …”
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1195
Multi-Scale Multi-Domain Hybrid Finite Element Modeling of Light Propagation
Published 2024-12-01“…We revisit finite element method of modeling multi-scale photonic/electromagnetic devices via the proposed beam basis function, in combination with domain decompositions. …”
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1196
Reference Intervals for Echocardiography Parameters of Children Living in the Arkhangelsk Region and a Digital Application for Their Assessment
Published 2024-12-01“…Reference intervals of echocardiography parameters were determined using body surface area as the dependent variable. The values were automatically calculated in our digital application that allows one to increase the accuracy and efficiency of interpretation of cardiac ultrasound parameters. …”
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1197
Expanding a Health Technology Solution to Address Therapist Challenges in Implementing Homework With Adult Clients: Mixed Methods Study
Published 2024-12-01“… BackgroundHomework is implemented with variable effectiveness in real-world therapy settings, indicating a need for innovative solutions to homework challenges. …”
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1198
Impact of IgG subclass on monoclonal antibody developability
Published 2023-12-01“…We thus conducted a systematic study of 12 mAbs derived from three sets of unrelated variable regions, each cloned into IgG1, an IgG1 variant with diminished effector functions, IgG2, and a stabilized IgG4 variant with further reduced FcγR interaction, to evaluate the impact of IgG subclass on manufacturability and high concentration stability in a common formulation buffer matrix. …”
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1199
Magnetic Field Effects on Convective Heat Transfer of Ferrofluid from a Heated Sphere in Porous Media
Published 2025-05-01“…For increasing Ha, the figure of streamlines seems to depict functions with more gradual changes, and for isotherms, it represents functions with sharper, exponential-like increases. …”
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1200
Optimum System Design Using Rough Interval Multi-Objective De Novo Programming
Published 2024-05-01“…This paper suggested a new approach for solving uncertainty of De novo programming problems (DNP) using a combination model consisting of a rough interval multi-objective programming (RIMOP) and DNP, where coefficients of decision variables of objective functions and constraints are rough intervals (RIC). …”
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