A New Dynamic Balance Framework Based on Blind Source Separation under Multiple Fault Conditions by Bo Lang, Xinyi Zhang, Jun Xiao, Shouhang Lu, Bing Li

“…Thus, it is necessary to isolate the corresponding features and obtain the intrinsic causes of the multiple failures. …”
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The value of nucleoporin 188 in diagnosis, prognosis and immunoregulation: from pan-cancer analysis to gastric cancer verification by Zhengfeng Zhu, Ru Peng, Huanhuan Cai

“…The association between NUP188 and clinicopathologic features was explored, and the predictive value of NUP188 was determined. …”
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Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction. by Sathish Kaveripakam, Ravikumar Chinthaginjala

“…The communication process may be substantially disrupted due to the underwater acoustic channel's time-varying and space-varying features. As a result, the underwater acoustic communication system faces the problems of reducing interference and enhancing communication effectiveness and quality through adaptive modulation. …”
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Heterogeneous quantization regularizes spiking neural network activity by Roy Moyal, Kyrus R. Mama, Matthew Einhorn, Ayon Borthakur, Thomas A. Cleland

“…Abstract The learning and recognition of object features from unregulated input has been a longstanding challenge for artificial intelligence systems. …”
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Optimal location selection for digital television signal booster towers in poorly covered areas: application of the EDIS multi-criteria decision-making method by Mehdi Soltanifar

“…The method considers various cost and benefit criteria, including annual maintenance cost, tower price, signal sensitivity and boosting power, unmet quality standards, operator complexity level, and interference resistance, to determine the most suitable locations for tower placement.Findings: The application of the EDIS method to a real-world case study demonstrates significant improvements in decision-making accuracy and efficiency over existing methods, offering enhanced support for optimal decision-making in the placement of digital television signal booster towers.Originality/Value: The proposed EDIS method presents a novel multi-criteria decision-making tool that combines innovative features with advanced optimization capabilities. …”
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Optimal Trajectory Planning for Minimizing Base Disturbance of a Redundant Space Robot with IQPSO by Jianxia Zhang, Fuchao Yang, Guanghua Nie, Jianxin Zhang

“…Using the nonholonomic redundancy features, the pose of the base has been optimized planning. …”
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Realism and Representation in Philosophy and Cinema: A Critical Examination of Alfred Hitchcock’s The Wrong Man with Special Reference to André Bazin’s Theory by Mohammad Ghaffary, Melika Ramzi

“…The director claimed that it was a “documentary” faithfully representing truth, without any directorial interference. After a brief comparative account of the concepts of “reality” and “realism” in philosophy and cinema, the present study, adopting André Bazin’s theory of realism in the cinema, investigates the realistic dimensions of this movie to see whether, despite the filmmaker’s claim and the presence of certain realistic features, it can be ultimately regarded as a realistic work or not. …”
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A high-impedance fault location method for resonant grounded distribution networks based on transformer and few-shot learning by Bo Li, Yunyao Tan, Kai Liao, Jianwei Yang, Zhengyou He

“…High-impedance faults (HIFs) in resonant grounded distribution networks have illegible fault features, which are difficult to accurately be located. …”
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Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks by Hasan A. A. Al-Rawi, Kok-Lim Alvin Yau, Hafizal Mohamad, Nordin Ramli, Wahidah Hashim

“…New approaches and recommendations are proposed to enhance the features in order to improve the network performance brought about by RL to routing. …”
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RaGeoSense for smart home gesture recognition using sparse millimeter wave radar point clouds by Honghong Chen, Xiangyu Wang, Zhanjun Hao, Yuru Lu, Jingyu Li, Haozhe Zhang, Ben Xi

“…Subsequently, the generated point cloud data are processed with sliding sequence sampling and point cloud tiling to extract the spatio-temporal features of the action. To further improve the classification performance, the system proposes an integrated model architecture that combines GBDT and XGBoost for efficient extraction of nonlinear features, and utilizes LSTM gated loop units to classify the gesture sequences, thus realizing the accurate recognition of eight different one-arm gestures. …”
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SKGRec: A Semantic-Enhanced Knowledge Graph Fusion Recommendation Algorithm with Multi-Hop Reasoning and User Behavior Modeling by Siqi Xu, Ziqian Yang, Jing Xu, Ping Feng

“…A relationship-aware aggregation module is designed to dynamically integrate higher-order relational features in the knowledge graph through the attention scoring function. …”
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Dam Crack Instance Segmentation Algorithm Based on Improved YOLOv8 by Shuaisen Ma, Mingyue Xu, Weiwu Feng

“…The method integrates Cascaded Group Attention (CGA) to enhance the perception of global information and features of slender crack. It also employs Diverse Branch Block (DBB) technology to strengthen the convolutional network’s ability to extract subtle crack features without increasing inference costs. …”
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Research on Fault Diagnosis Method for Marine Diesel Engines Based on Multi-Scale Attention Mechanism Transformer by Manyi Chen, Huibing Gan, Hangjie Wu

“…This multi-scale strategy enhances the extraction of detailed and coarse-grained features, improving the model’s capacity to detect and characterize complex diesel engine faults. …”
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VDMNet: A Deep Learning Framework with Vessel Dynamic Convolution and Multi-Scale Fusion for Retinal Vessel Segmentation by Guiwen Xu, Tao Hu, Qinghua Zhang

“…Firstly, we introduce the Fast Multi-Head Self-Attention (FastMHSA) module to effectively capture both global and local features, enhancing the network’s robustness against complex backgrounds and pathological interference. …”
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Natural fabric wearable high isolation fractal MIMO antenna for wireless communication and 5G uses by Nairaj Jat, Arun Kumar, Manisha Gupta, Aziz Nanthaamornphong

“…This paper presents a multi-band, natural fabric-based MIMO antenna featuring a Lorentz-shaped fractal structure with elliptical radiating elements. …”
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Indoor Dynamic Environment Mapping Based on Semantic Fusion and Hierarchical Filtering by Yiming Li, Luying Na, Xianpu Liang, Qi An

“…To address the challenges of dynamic object interference and redundant information representation in map construction for indoor dynamic environments, this paper proposes an indoor dynamic environment mapping method based on semantic fusion and hierarchical filtering. …”
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Music sight-reading expertise, visually disrupted score and eye movements by Patricia Arthur, Diana Blom, Sieu Khuu

“…The current project examined the effect of altering features of the music score on eye movement patterns of expert and non-expert music sight readers. …”
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Voices of the Past, Echoes of the Present: The Influence of the Amerindian Languages of Latin America on Modern Spanish by A. N. Gurov

“…The Spanish colonization of the Americas resulted in a process of interaction between the Spanish language and the substrate, resulting in complex linguistic interference.Despite extensive research (R. Lenz, P. …”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…It is caused by the rapid and uncontrolled growth of abnormal white blood cells in the bone marrow. This accumulation interferes with the production of normal blood cells, leading to a weakened immune deficiency, anemia, and bleeding disorders. …”
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Cascaded Detection Method for Ship Targets Using High-Frequency Surface Wave Radar in the Time–Frequency Domain by Zhiqing Yang, Hao Zhou, Yingwei Tian, Gan Liu, Bing Zhang, Yao Qin, Peng Li, Weimin Huang

“…Compact high-frequency surface wave radars (HFSWRs) utilize miniaturized antennas, resulting in lower antenna gain and a reduced signal-to-noise ratio (SNR) for target echoes. Due to noise interference, ship echoes in the noise region often fall below the detection threshold, leading to missed detections. …”
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