Leveraging Multi-Level Semantic Understanding in a Unified NER Model by Yuqian Zhao, Jiuchun Ren

“…Subsequently, the grid-level semantic extraction employs Conditional Layer Normalization(CLN) and Dilated CNNs. This enables MLSU to capture the interaction between text and labels effectively and enhances the ability to process complex text. …”
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Enhancing Interagency Coordination in Smart Bureaucracy for New Capital City: Case Study of Nusantara by Dana Indra Sensuse, Eko Yon Handri, Muhammad Mishbah, Rini Rachmawati, Wikan Danar Sunindyo, Galuh Syahbana Indraprahasta, Suet Leng Khoo, Khin Khin Soe

“…This study produced a five-layer smart bureaucracy model consisting of strategic layers, interagency coordination, operations, monitoring and evaluation, and digital infrastructure. …”
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Finite-Time Consensus Pinning Control Method for Multiple Inverters–Paralleled Photovoltaic Microgrid by Xiping Ma, Chen Liang, Xiaoyang Dong, Yaxin Li

“…By introducing voltage and frequency correction in the primary control layer, the finite time consensus pinning control method is applied to design distributed secondary controllers. …”
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A Microstructural Study of Load Distribution in Cartilage: A Comparison of Stress Relaxation versus Creep Loading by Ashvin Thambyah, V. M. van Heeswijk, C. C. van Donkelaar, Neil Broom

“…We hypothesise that, by comparing the microstructural response following stress relaxation and creep compression, new insights can be revealed concerning the complex mechanisms of load bearing. Our results indicate that, with stress relaxation, the initial mode of stress decay appears to primarily involve relaxation of the surface layer. …”
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Cross-modal interactive and global awareness fusion network for RGB-D salient object detection. by Runqing Li, Ling Yu, Zijian Jiang, Fanglin Niu

“…The Global Awareness Fusion Module (GAFM) is designed to relate high-level features between RGB and depth features so as to improve the model's understanding of complex scenes. In addition, prediction mapping is generated through a step-by-step decoding process carried out by the Multi-layer Convolutional Fusion Module (MCFM), which gradually yields finer detection results. …”
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UAV-to-Ground Target Detection Based on YOLO-DSBE by Meng Pengshuai, Wang Feng, Zhai Weiguang, Ma Xingyu, Zhao Wei

“…To address the issues of complex background, small target scale, mutual occlusion and high missed detection rate in UAV captured images, this paper proposes a ground target detection algorithm based on YOLO-DSBE.The DC-ELAN and DC-MP modules based on deformable convolution are proposed to adapt to input features of different shapes and sizes, and to improve the network’s ability to parse features in complex backgrounds; A high-resolution multi-scale detection layer is designed to boost the algorithm’s capability in extracting small target features, thereby improving the detection accuracy of minute targets. …”
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Polarization‐Controlled Transmissive Plasmonic Color Filter Using a Dimer‐Aperture Array by Shuhao Wu, Peter W.R. Connolly, Vincenzo Pusino, Gerald S. Buller, David R.S. Cumming

“…Abstract Complex color and polarization selective technologies are of increasing importance in scientific, security, and commercial imaging applications. …”
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Motility in blastogregarines (Apicomplexa): Native and drug-induced organisation of Siedleckia nematoides cytoskeletal elements. by Andrea Valigurová, Naděžda Vaškovicová, Andrei Diakin, Gita G Paskerova, Timur G Simdyanov, Magdaléna Kováčiková

“…Despite the presence of key glideosome components such as pellicle consisting of the plasma membrane and the inner membrane complex, actin, myosin, subpellicular microtubules, micronemes and glycocalyx layer, the motility mechanism of S. nematoides differs from the glideosome machinery. …”
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Immunolocalization of a Histidine-Rich Epidermal Differentiation Protein in the Chicken Supports the Hypothesis of an Evolutionary Developmental Link between the Embryonic Subperid... by Lorenzo Alibardi, Karin Brigit Holthaus, Supawadee Sukseree, Marcela Hermann, Erwin Tschachler, Leopold Eckhart

“…The morphogenesis of feathers is a complex process that depends on a tight spatiotemporal regulation of gene expression and assembly of the protein components of mature feathers. …”
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Optimized small object detection in low resolution infrared images using super resolution and attention based feature fusion. by Weilun Wang, Jian Xu, Ruopeng Zhang

“…A lightweight super-resolution network, LightweightSRNet, is designed to enhance low-resolution IR images into high-resolution ones, improving feature quality with minimal computational complexity. To handle complex backgrounds and scale variations, a Hybrid Global Multi-Head Attention (HG-MHA) mechanism is introduced, enhancing target focus and suppressing noise. …”
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Confocal laser scanning microscopy for the diagnosis of dysplastic nevus of the skin by A. V. Sokolova, N. P. Malishevskaya

“…In cases of complex differential diagnosis of benign melanocytic neoplasms, dysplastic nevi and skin melanoma, clinical visual inspection and superficial dermatoscopy do not always allow an accurate diagnosis, which is especially important in cases of suspected skin melanoma. …”
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SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS by A. V. Panteleev, M. D. Evdokimova

“…The object functions in optimization practical problem are nonlinear functions with a lot of variables and a complex layer surface indentations. That is why using classical approach for extremum seeking is not efficient. …”
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Multi-exit Kolmogorov–Arnold networks: enhancing accuracy and parsimony by James Bagrow, Josh Bongard

“…Here we introduce multi-exit KANs, where each layer includes its own prediction branch, enabling the network to make accurate predictions at multiple depths simultaneously. …”
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A Comprehensive Feature Extraction Network for Deep-Learning-Based Wildfire Detection in Remote Sensing Imagery by Haiyan Pan, Die Luo, Yuewei Zhang

“…While satellite remote sensing has been extensively utilized for wildfire monitoring, current methodologies face limitations in addressing complex backgrounds and environmental variations. …”
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Improved Dab-Deformable Model for Runway Foreign Object Debris Detection in Airport Optical Images by Yang Cao, Yuming Wang, Yilin Zhu, Rui Yang

“…Furthermore, a feedback mechanism is incorporated into the encoder structure, enhancing the model’s capacity to capture complex dependencies within sequential data. Additionally, when combined with a Threshold Selection (TS) algorithm, the model effectively mitigates the distraction caused by the serialization of multi-layer feature maps in the Transformer architecture. …”
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Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model by David Kappel, Sen Cheng

“…These complex spatial representations and dynamics occur spontaneously in the hidden layer of a deep network during learning. …”
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Application of Machine Learning in Predicting Quality Parameters in Metal Material Extrusion (MEX/M) by Karim Asami, Maxim Kuehne, Tim Röver, Claus Emmelmann

“…Additive manufacturing processes such as the material extrusion of metals (MEX/M) enable the production of complex and functional parts that are not feasible to create through traditional manufacturing methods. …”
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Adaptive Window Multi-Feature Fusion Point Cloud Semantic Segmentation Network by Lie Zhu

“…Additionally, the method improves edge feature recognition during the upsampling stage through an inter-layer edge enhancement and suppression module. Experimental results demonstrate that AWFusionNet achieves high accuracy and better robustness when processing point cloud data in complex scenarios.…”
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Characteristics of the Deep Structure of the Kimberlite-Controlling Faults of the Arkhangelsk Diamondiferous Province According to the Microseismic Sounding Method. Review by Danilov Konstantin

“…However, this approach is rarely used in practice due to the complex structure of the host environment. This issue is particularly pressing in areas where there is a large layer of rocks overlying the pipes, such as the Arkhangelsk diamondiferous province. …”
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Remote Irrigation Control Based on LoRa Technology and Fuzzy PID Algorithm by Yuliang Li

“…The perception layer architecture of the system and its terminal devices collect soil moisture and other parameters, which are then transmitted to the upper computer through the LoRa module. …”
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