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241
CSA-Net: Complex Scenarios Adaptive Network for Building Extraction for Remote Sensing Images
Published 2024-01-01Get full text
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242
Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets
Published 2025-05-01Get full text
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243
Dynamic feature selection for silicon content prediction in blast furnace using BOSVRRFE
Published 2025-07-01“…Abstract Accurate prediction of silicon content in blast furnace ironmaking is essential for optimizing furnace temperature control and production efficiency. However, large-scale industrial datasets exhibit complexity, dynamism, and nonlinear relationships, posing challenges for feature selection. …”
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244
Applications of randomly selected sets of exact Voight's solutions for vibration of thin plates
Published 2022-12-01“… The principally new method of selected exact solutions, SES, for plate vibration based on fundamental solutions of Voigt is suggested. …”
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245
Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials
Published 2025-05-01“…We used fractal dimensions to determine the complexity of the microstructure of selective laser melting specimens. …”
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246
An Improved PIN Diode Model Design for a Tunable Frequency Selective Absorber
Published 2025-01-01“…As a result, it also minimizes the electromagnetic interference that often arises from bias lines, thereby improving the overall system efficiency and reliability. The proposed model, therefore, reduces the complexity of the absorbing system while enhancing its performance and tunability. …”
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247
Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning
Published 2025-02-01“…In the design of the reward function, the Optimal Index Factor (OIF) was introduced as the evaluation metric to encourage the agent to select bands with high information content and low redundancy, and thereby improve the efficiency and quality of the selection process. …”
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248
Optimizing mouse metatranscriptome profiling by selective removal of redundant nucleic acid sequences
Published 2025-07-01Get full text
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249
Single-port robotic retroperitoneoscopic nephroureterectomy: Technical approach and recommendations for patient selection
Published 2025-06-01“…We focus on patient selection, advantages of regionalized SP surgery, and technical tips for operative efficiency and safety. …”
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250
Modulating selectivity and stability of the direct seawater electrolysis for sustainable green hydrogen production
Published 2025-03-01“…However, the inherently complex composition of seawater—laden with halide ions, multivalent cations (Mg2+, Ca2+), and organic/biological impurities—presents formidable challenges in maintaining both selectivity and durability. …”
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251
Selective evolution of methanogenic communities by β-lactam antibiotics promotes methane production
Published 2025-06-01“…By utilizing amoxicillin, the research promotes the selective growth of methane-producing microbes while suppressing harmful ones, resulting in faster and more efficient methane production with enhanced process control. …”
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252
Switchable electrochemical pathways for the selective C(sp3)-Ge bond formation
Published 2025-08-01Get full text
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253
INVESTMENT PROGRAM OF POWER GRID COM PANIES: CHECK ALL CAN NOT BE SELECTED
Published 2018-12-01Get full text
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254
Outage probability based power allocation and relay selection algorithm in cooperative communication
Published 2013-10-01“…The relay selection and power optimization of multi-relay cooperative communication network under a joint sum power constraint was considered.A low complexity lay selection and power allocation algorithm was also pro-posed in amplify-and-forward cooperative network aiming at minimizing the probability of system outage.In this scheme,optimal power allocation among source and relay nodes was conducted.According to the SNR,an optimal relay node set was selected and a power allocation factor leading to lower system outage probability was obtained by steepest descent method.This algorithm did not need large quantity of l statistical information and equal power condition.It can obtain the best set of relay nodes under optimal power allocation only by solving the arranged matrix on the basis of Sig-nal to Noise Ratio.Simulation results show that the proposed relay select and power allocation algorithm,under the same conditions,compared in the outage probability in erent relay node set among several algorithms,achieves better performance in outage probability and power efficiency.…”
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255
A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters
Published 2018-01-01“…The exploitation of the RDO technique contributes significantly to increase the computational complexity of the coding process. In this paper, a generalized multi-layer framework is presented, which provides a hierarchical optimized way to select MB prediction parameters. …”
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256
Graph-contrast ransomware detection (GCRD) with advanced feature selection and deep learning
Published 2025-06-01“…The FT-Transformer module uses self-attention to recognize complex feature interdependencies, further improving classification accuracy. …”
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257
Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification
Published 2025-04-01“…<b>Background/Objectives</b>: Cancer classification using microarray datasets presents a significant challenge due to their extremely high dimensionality. This complexity necessitates advanced optimization methods for effective gene selection. …”
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258
A New Hybrid PSO-HHO Wrapper Based Optimization for Feature Selection
Published 2025-01-01“…Metaheuristic algorithms, mainly inspired by nature, are strong candidates for the feature selection process, as they can efficiently search large solution spaces. …”
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259
Application of Hardware and Software Complex for Individualisation of Students’ Sport and Recreational Physical Activities
Published 2019-02-01“…The survey sampling and processing of experimental data were carried out by means of the hardware and software complex (HSC).Results and scientific novelty. The authors studied and documented the interconnection of students’ heart rate variability, taking into account their age and sex peculiarities, motion behaviour and medical groups. …”
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260