Research of methodological principles and financial mechanisms of macro-strategic management of the dynamics of technological innovation systems by B. D. Matrizaev

“…Equally relevant is the issue of ensuring the inflow of resources for technological development, such as public funding or private capital. …”
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USS-Net: A neural network-based model for assisting flight route scheduling. by Yinlei Cheng, Qingfu Li

“…The StateConvBlock integrates Mamba as a fundamental module for understanding temporal dynamics and contextual information. …”
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Progressive multi-scale multi-attention fusion for hyperspectral image classification by Hu Wang, Sixiang Quan, Jun Liu, Hai Xiao, Yingying Peng, Zhihui Wang, Huali Li

“…The complementary responsibilities of the three branches address the issue of feature loss in details and improve the network’s learning efficiency across feature maps of different scales. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…This includes, firstly, adding a single improved module to the original YOLOv7-tiny algorithm to observe its impact and, secondly, removing individual modules from the final improved YOLOv7-tiny-SFCE model to evaluate their effect. …”
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Improving Equity, Diversity, and Inclusion in LIS Education: Insights for Curriculum Development and Professional Preparation by Lili Luo

“…How could the Library and Information Studies curriculum better prepare graduates to address equity, diversity and inclusion issues in their workplace? Journal of Information Science. …”
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Listening Beyond Silence: Subject Matter's Echoes From The Emi Classroom by Ouafa Ouarniki, Mirela Alhasani

“…Second, the availability of resources was also an urgent issue, with educators citing the lack of appropriate teaching materials adapted to the EMI setting. …”
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Graph-Based Target Association for Multi-Drone Collaborative Perception Under Imperfect Detection Conditions by Qifan Tan, Xuqi Yang, Cheng Qiu, Wenzhuo Liu, Yize Li, Zhengxia Zou, Jing Huang

“…The Graph Feature Network (GFN) treats the key objects as graph nodes and extracts the graph feature. The Association Module utilizes graph matching to associate the top-k-like matching objects and iterable affine transformation to associate all objects. …”
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Integrated Fusion Network for Hyperspectral, Multispectral and Panchromatic Data Fusion by Jinyin Pan, Shidong Wang, Huachao Li, Zhanliang Yuan, Binbin Yuan, Jinyan Peng, Yuanyuan Liu

“…Specifically, IFNPMH incorporates the CBAM attention mechanism module to enhance feature representation capabilities. …”
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Research on LiDAR Clear Air Turbulence Recognition Based on Improved SE-ResNet50 by Zibo ZHUANG, Jun CHEN, Peilin HE, Hongying ZHANG, Guohua JIN, Xiong LUO

“…To address the issue of LiDAR’s low turbulence recognition rate at airports in low-altitude areas, a clear air turbulence recognition method based on an improved Squeeze-and-Excitation Residual Network with 50 layers (SE-ResNet50) is proposed. …”
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Multi-Level Intertemporal Attention-Guided Network for Change Detection in Remote Sensing Images by Shuo Liu, Qinyu Zhang, Yuhang Zhang, Xiaochen Niu, Wuxia Zhang, Fei Xie

“…Secondly, the Change Location and Recognition Module (CLRM) is designed to explore change areas more deeply, effectively improving the representation of change features. …”
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A Defect Detection Method for Flexible Thermal Control Film Manufacturing Process Driven by Digital Twin by LI Rongyi, TIAN Shuaiqi, DAI Mingqiu, XU Youqiang, LI Xianbin, HOU Kailin

“…By decoupling system functional modules and adopting distributed service governance, high concurrency and high availability online monitoring of the film manufacturing process is achieved. …”
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A Novel Deep Learning Model for Motor Imagery Classification in Brain–Computer Interfaces by Wenhui Chen, Shunwu Xu, Qingqing Hu, Yiran Peng, Hong Zhang, Jian Zhang, Zhaowen Chen

“…The proposed method includes a Dual-Branch Feature Extraction Module designed to capture both temporal features and spatial patterns across different scales. …”
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Transformer fault diagnosis method based on Gramian Angular Field and optimized parallel ShuffleNetV2 by Qiang Guo, Haiyan Yao, Yuefei Xu, Bin Lu, Zhengshu Ma, Yuanjun Huang, Mingyu Shi

“…Abstract To address the issue of low diagnostic accuracy caused by reliance on manual experience and single-angle feature extraction in transformer fault diagnosis, a transformer fault diagnosis method based on Gramian Angular Field and optimized parallel ShuffleNetV2 was proposed. …”
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Hippopotamus based optimization for reliable and cost-effective designing of stand-alone hybrid renewable system for a remote area by Sanjeev Gupta, Sanjeev Gupta, Yashwant Sawle, Kishor Thakre, M. Thirunavukkarasu, M. Thirunavukkarasu

“…When contrasting the effectiveness of optimization methods, the HOA is the optimal solution for resolving the sizing issue since it offers the most effective compromise among robustness, accuracy, and convergence rate.…”
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A Resolution and Localization Algorithm for Closely-Spaced Objects Based on Improved YOLOv5 Joint Fuzzy C-Means Clustering by Yao Li, Xin Chen, Peng Rao, Shenghao Zhang, Guangsen Liu

“…The presence of numerous space objects poses significant challenges to spacecraft launch, operation, and space security. To address this issue, a novel algorithm based on improved YOLOv5 joint Fuzzy C-Means (FCM) has been proposed for discerning and localizing closely-spaced objects (CSOs) in space. …”
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Towards lightweight model using non-local-based graph convolution neural network for SQL injection detection by Duc-Chinh Nguyen, Manh-Hung Ha, Manh-Tuan Do, Oscal Tzyh-Chiang Chen

“…SQL injection poses serious threats to web applications and databases by enabling unauthorized access and data leakage. To address this issue, we propose a unique graph network, an innovative topology not explored previously for SQL injection detection. …”
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Research on Pedestrian and Cyclist Classification Method Based on Micro-Doppler Effect by Xinyu Chen, Xiao Luo, Zeyu Xie, Defang Zhao, Zhen Zheng, Xiaodong Sun

“…Firstly, distinct from conventional time-frequency fusion methods, a preprocessing module was developed to solely perform frequency-domain fitting on radar echo data of pedestrians and cyclists in forward motion, with the purpose of generating fitting coefficients for the classification task. …”
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Improved multiverse optimizer‐based anti‐saturation model free adaptive control and its application to manipulator grasping systems by Shida Liu, Zhen Li, Jiancheng Li, Honghai Ji, Jingquan He

“…Abstract To address the stable grasping control issue in manipulator grasping systems, this manuscript proposes an improved multiverse optimizer‐based anti‐saturation model‐free adaptive control (IMVO‐AS‐MFAC) algorithm. …”
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PFFNet: A pyramid feature fusion network for microaneurysm segmentation in fundus images by Jiaxin Lu, Beiji Zou, Xiaoxia Xiao, Qinghua Peng, Junfeng Yan, Wensheng Zhang, Kejuan Yue

“…Furthermore, to mitigate issue related to category imbalance, a combo loss function is introduced. …”
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Potato Plant Variety Identification Study Based on Improved Swin Transformer by Xue Xing, Chengzhong Liu, Junying Han, Quan Feng, Enfang Qi, Yaying Qu, Baixiong Ma

“…The model employs a multi-scale feature fusion module in place of patch partitioning and linear embedding. …”
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