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141
A Multi-Scale Fusion Convolutional Network for Time-Series Silicon Prediction in Blast Furnaces
Published 2025-04-01“…The first scale utilizes a Convolutional Block Attention Module, which captures local temporal dependencies by focusing on the most relevant features across adjacent time steps. …”
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142
Reaction Gas Pressure, Temperature, and Membrane Water Content Modulate Electrochemical Process of a PEMFC: A Simulation Study
Published 2023-01-01“…The effect of various factors on the dynamic output of a 60 kW PEMFC was explored through dynamic simulations. …”
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143
Efficient reconfigurable regions management method for adaptive and dynamic FPGA based systems
Published 2017-11-01“…It permits to efficiently handle the reconfigurable area and to relocate the reconfigurable modules in different possible regions. The implementation results for the considered application show an important optimization in terms of configuration time (until 66 %) and memory storage (until 87 %) and an efficient hardware resources utilization rate (until 90%). …”
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CrackNet: A Hybrid Model for Crack Segmentation with Dynamic Loss Function
Published 2024-11-01“…On the decoder side, an attention-based skip connection strategy and a mixed up-sampling module are implemented to restore detailed information. …”
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146
Application of Improved YOLOv8 Image Model in Urban Manhole Cover Defect Management and Detection: Case Study
Published 2025-07-01“…An innovative foreground attention module is introduced to adaptively enhance the features of manhole cover defects, improving the model’s ability to identify defects of various scales. …”
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147
MDPruner: Meta-Learning Driven Dynamic Filter Pruning for Efficient Object Detection
Published 2024-01-01“…The rationale behind our approach is straightforward: for intricate images, we designate a lesser pruning rate to uphold detection accuracy, while for less complicated images, we apply a higher pruning rate to compress the model effectually and economize computational assets - thus, striking an ideal equilibrium between compression proficiency and performance sustenance. …”
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148
Dynamic Graph Neural Network for Garbage Classification Based on Multimodal Feature Fusion
Published 2025-07-01“…Additionally, hyperparameter studies indicate that the model attains optimal performance with a learning rate of 2 × 10<sup>−4</sup>, a dropout rate of 0.3, an initial neighbor count of 20, and 8 attention heads.…”
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149
Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling
Published 2025-04-01“…Additionally, an attention mechanism is integ-rated to effectively capture contextual details of targets with varying scales, orientations, and shapes by leveraging the hierarchical connections of the C2f module, and parallel network is further utilized to enhance interactive modeling of small-target positional information. …”
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150
Determination of Fast-Moving Objects’ Speed and Range with Linear Frequency Modulation Continuous Wave Radar Using Autocorrelation Scheme
Published 2020-04-01“…Development of an algorithm for estimating the range and the speed of targets by an autocorrelation radar with a wide-band continuous linear frequency modulation (linear FM) signal in order to increase the rate of the ADAS system estimates formation.Materials and methods. …”
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151
Single-cell analysis reveals antibiotic affects conjugative transfer by modulating bacterial growth rather than conjugation efficiency
Published 2025-04-01“…Synopsis: This study employs single-cell analysis to reveal that subinhibitory concentrations of antibiotics affect the conjugative transfer of antibiotic resistance genes by modulating bacterial growth rate rather than conjugation efficiency.…”
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152
Coordinate regulation of G protein signaling via dynamic interactions of receptor and GAP.
Published 2008-08-01“…Signal output from receptor-G-protein-effector modules is a dynamic function of the nucleotide exchange activity of the receptor, the GTPase-accelerating activity of GTPase-activating proteins (GAPs), and their interactions. …”
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153
Toward a storage ring coherent light source based on an angular dispersion-induced microbunching scheme
Published 2025-01-01“…Rep. (2022), 12, 3325]. The modulation–demodulation section is inserted into a long straight section of the storage ring instead of a bypass line, which poses great challenges for the optimization of the nonlinear dynamics of the storage ring. …”
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154
Mitigating Selection Bias in Recommendation Systems Through Sentiment Analysis and Dynamic Debiasing
Published 2025-04-01“…To this end, we have developed a sentiment analysis module aimed at eliminating discrepancies between reviews and ratings, providing accurate sentiment scores, extracting users’ true opinions, and reducing sentiment bias. …”
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156
Leveraging Deep Learning and Internet of Things for Dynamic Construction Site Risk Management
Published 2025-04-01“…Key innovations, such as perspective projection coordinate transformation (PPCT) and the security assessment block module (SABM), further enhance hazard detection and warning generation accuracy and reliability. …”
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157
Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.
Published 2025-01-01“…Our results confirm that E-I homeostasis can be leveraged to control edge-of-bifurcation dynamics and that some modes of homeostasis maintain mean firing rates under higher levels of input by modulating the distance to the bifurcation. …”
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158
Adaptive Motion Planning Leveraging Speed-Differentiated Prediction for Mobile Robots in Dynamic Environments
Published 2025-07-01“…A multi-sensor perception module is designed to classify obstacles as either static or dynamic, thereby enhancing environmental awareness and planning reliability. …”
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159
Dynamic Modeling and Control Characteristics of the Two-Modular HTR-PM Nuclear Plant
Published 2017-01-01“…Through multimodular scheme, that is, the superheated steam flows produced by multiple MHTGR-based nuclear supplying system (NSSS) modules combined together to drive a common thermal load, the inherent safety feature of MHTGR is applicable to large-scale nuclear plants at any desired power ratings. …”
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