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201
Decision support framework for location selection and disaster relief network design
Published 2017-12-01Get full text
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202
An Efficient Sentiment Classification Method with the Help of Neighbors and a Hybrid of RNN Models
Published 2023-01-01Get full text
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203
An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network
Published 2020-01-01Get full text
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204
Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System
Published 2015-01-01“…Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity of system computing. …”
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205
Predicting Scattering From Complex Nano-Structures via Deep Learning
Published 2020-01-01“…This framework increases the viability of the design and analysis of complex nanostructures, offering great potential for applications pertaining to complex light-matter interaction between electromagnetic fields and nanomaterials.…”
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206
Topology optimization of plane trusses using the progressive directional selection method
Published 2025-12-01“…The topologies of the selected optimized structures efficiently support the applied loads and are similar to those obtained by other topological optimization methods found in the literature. …”
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207
Water heaters low-voltage electrode with current supply complex shape
Published 2018-04-01“…The mode with a power supply of a complex shape causes an increase in the efficiency of the electrode water heaters.…”
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208
Transportation Mode Selection Using Reinforcement Learning in Simulation of Urban Mobility
Published 2025-01-01“…Given the complex dynamics of urban mobility, strategically selecting a transportation mode can significantly mitigate delays and enhance overall productivity in densely populated areas. …”
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209
Feature Selection Using Pearson Correlation for Ultra-Wideband Ranging Classification
Published 2025-03-01“…A systematic feature selection approach based on Pearson correlation is employed to identify the most relevant features from an open-source dataset, ensuring efficient classification while minimizing computational complexity. …”
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210
Service Composition and Optimal Selection for Industrial Software Integration with QoS and Availability
Published 2025-07-01“…To address the growing demand for industrial software in the digital transformation of small and medium-sized enterprises (SMEs) in the manufacturing sector, and to ensure the stable integration and operation of multi-source heterogeneous industrial software under complex conditions—such as heterogeneous compatibility, component dependencies, and uncertainty disturbances—this study established a comprehensive evaluation index system for service composition and optimal selection (SCOS). …”
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211
Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals
Published 2025-04-01“…The proposed approach ensures high reliability, even with small datasets, and improves interpretability for clinicians by overcoming the limitations of more complex methods. The tailored channel selection boosts detection accuracy and ensures robust performance across different seizure types while reducing the computational burden typical of multi-electrode systems. …”
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212
An Adaptive Finite Resolution Selection Scheme for RIS Assisted NOMA Networks
Published 2025-01-01“…This paper presents an integration between RIS and NOMA to communicate with distant vehicular users. To alleviate the complexity of coherent phase shifting design at RIS, we propose a dynamic gain adaptation RIS selection scheme based on discrete phase shifting (i.e., termed as GADPS) to serve two vehicular users paired to perform NOMA. …”
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213
A Method for the Automatic Selection of Training Tasks in Learning Environment for IT Students
Published 2020-04-01“…The research, the results of which are presented in this article, was carried out in order to activate and improve the efficiency of independent work of students in the information environment of learning by rational individual selection of training tasks. …”
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214
A Heuristic Algorithm for Optimal Service Composition in Complex Manufacturing Networks
Published 2019-01-01“…It is challenged by the inherent heterogeneity and complexity of these services in terms of their diverse and complex functions, qualities of service, execution paths, etc. …”
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215
Discovery of KRAS(G12D) selective degrader ASP3082
Published 2025-08-01“…Herein, we report the discovery and characterization of ASP3082, a KRAS(G12D)-selective degrader, and the crystal structure of the drug-induced ternary complex of KRAS(G12D)/ASP3082/VHL (von Hippel–Lindau). …”
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216
Image-based maturity detection for selective cauliflower harvesting in field condition
Published 2025-08-01Get full text
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217
A Multiagent Decision-Making Model for Martian Landing Site Selection
Published 2025-01-01“…Selecting suitable landing sites on Mars remains one of the key challenges due to the complex terrain of Mars and the diverse scientific objectives in Mars exploration missions. …”
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218
Path Planning Algorithm for Manipulators in Complex Scenes Based on Improved RRT*
Published 2025-01-01“…The algorithm generates multiple candidate points per iteration, selecting a sampling point probabilistically based on heuristic values, thereby optimizing sampling efficiency and reducing unnecessary nodes. …”
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219
LCD: IDENTIFYING INFLUENTIAL NODES IN COMPLEX NETWORKS WITH LAYERED CLUSTERING AND DEGREE
Published 2025-04-01“…While numerous algorithms have been proposed in the literature, many struggle with either limited spreading efficiency or high computational complexity. To address this challenge, we present Layered Clustering Degree (LCD), an effective method for identifying a set of well-distributed spreaders with high spreading ability, while maintaining a computational complexity of making it highly suitable for large-scale networks where both efficiency and computational complexity are essential. …”
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220
An Innovative Priority Queueing Strategy for Mitigating Traffic Congestion in Complex Networks
Published 2025-02-01“…The GPQ strategy provides a practical and adaptable solution for improving transportation efficiency in complex networks, bridging the gap between conventional routing techniques and emerging demands for dynamic congestion management.…”
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