Aquaporins are critical for provision of water during lactation and intrauterine progeny hydration to maintain tsetse fly reproductive success. by Joshua B Benoit, Immo A Hansen, Geoffrey M Attardo, Veronika Michalková, Paul O Mireji, Joel L Bargul, Lisa L Drake, Daniel K Masiga, Serap Aksoy

“…Tsetse flies undergo drastic fluctuations in their water content throughout their adult life history due to events such as blood feeding, dehydration and lactation, an essential feature of the viviparous reproductive biology of tsetse. …”
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Fault Diagnosis of Magnetically Controlled On-Column Circuit Breaker Based on Small Sample Condition by He Tian, Chao Liang, Wenpeng Ma, Tianchang Zhang

“…Addressing challenges such as difficult fault signal acquisition, noise interference, and a limited number of fault samples, this paper introduces a fault diagnosis method for magnetically controlled on-column circuit breakers under conditions of small sample sizes, based on VAE-ACGAN-SDAE. …”
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FLE-YOLO: A Faster, Lighter, and More Efficient Strategy for Autonomous Tower Crane Hook Detection by Xin Hu, Xiyu Wang, Yashu Chang, Jian Xiao, Hongliang Cheng, Firdaousse Abdelhad

“…Lastly, the Dyhead module is employed in the head section to unify multiple attention operations, improve the ability to resist interference from small objects and complex backgrounds. …”
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A Lightweight Network for Water Body Segmentation in Agricultural Remote Sensing Using Learnable Kalman Filters and Attention Mechanisms by Dingyi Liao, Jun Sun, Zhiyong Deng, Yudong Zhao, Jiani Zhang, Dinghua Ou

“…However, the spectral noise caused by complex light and shadow interference and water quality differences, combined with the diverse shapes of water bodies and the high computational cost of image processing, severely limits the accuracy of water body recognition in agricultural watersheds. …”
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A Ship Heading Estimation Method Based on DeepLabV3+ and Contrastive Learning-Optimized Multi-Scale Similarity by Weihao Tao, Yasong Luo, Jijin Tong, Qingtao Xia, Jianjing Qu

“…First, a cascaded image preprocessing method is developed, incorporating linear transformation, bilateral filtering, and the Multi-Scale Retinex with Color Restoration (MSRCR) algorithm to mitigate noise and haze interference and enhance image quality with improved target edge clarity. …”
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Research on Soil Pore Segmentation of CT Images Based on MMLFR-UNet Hybrid Network by Changfeng Qin, Jie Zhang, Yu Duan, Chenyang Li, Shanzhi Dong, Feng Mu, Chengquan Chi, Ying Han

“…MMLFR enhances the key feature expression by extracting the image low-frequency signals and suppressing the noise interference through the multi-scale spectral decomposition, whereas UNet excels in the segmentation detail restoration and complexity boundary processing by virtue of its coding-decoding structure and the hopping connection mechanism. …”
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Secure Indoor Water Level Monitoring with Temporal Super-Resolution and Enhanced Yolov5 by Sui Guo, Jiazhi Huang, Yuming Yan, Peng Zhang, Benhong Wang, Houming Shen, Zhe Yuan

“…Furthermore, unlike existing complex model-based approaches, our enhanced, lightweight Yolov5 model, featuring a small-scale feature mapping branch, ensures real-time monitoring and accurate detection across a variety of conditions, including daytime, nighttime, misty conditions, and wet surfaces. …”
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Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography by Xiaodong Sheng, Tao Fan, Xiaoqi Jin, Jing Jin, Zhixian Chen, Guanqun Zheng, Min Lu, Zongcheng Zhu

“…Then, the new ridge point and tracking direction are optimally detected within the local arc length of the initial direction to ensure that the correct ridge position can still be obtained with large error interference. Finally, the pseudo vascular centerline is removed using the vascular topology feature detection method. …”
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Cloud Removal in the Tibetan Plateau Region Based on Self-Attention and Local-Attention Models by Guoqiang Zheng, Tianle Zhao, Yaohui Liu

“…Optical remote sensing images have a wide range of applications but are often affected by cloud cover, which interferes with subsequent analysis. Therefore, cloud removal has become indispensable in remote sensing data processing. …”
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RoFDiff: Robust Hyperpansharpening via a High-Low Frequency Conditional Diffusion Model by Jiangtao Huang, Ting Luo, Zhouyan He, Haiyong Xu, Leyuan Fang

“…Since noise primarily exists in the high-frequency regions of LRHS images, the multiscale filter is deployed to obtain clean low-frequency features (CLFFs) that retain spectral information and avoid noise interference. …”
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Infrared Image Classification and Detection Algorithm for Power Equipment Based on Improved YOLOv10 by Xiu Ji, Zheyu Yue, Hongliu Yang, Zehong Zhang

“…However, infrared imaging technology has shortcomings such as poor signal clarity and serious background noise interference. To address this problem, this paper proposes an infrared image classification and detection algorithm for power equipment based on the improved YOLOv10, named YOLOv10plus. …”
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Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation by Alessandra Fusco, Zain Amir Zaman, Souvik Hazra, Lorenzo Servadei, Robert Wille

“…The augmentation techniques employed in this research include time scaling, range and angle transformation, and noise injection, effectively simulating different gesture speeds, orientations, distances, and interference levels. Additionally, applying augmentation at the feature level, rather than on raw radar data, reduces data size significantly, leading to faster training, lower memory requirements, and improved scalability. …”
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Advanced Trans-EEGNet Deep Learning Model for Hypoxic-Ischemic Encephalopathy Severity Grading by Dong-Her Shih, Feng-I Chung, Ting-Wei Wu, Shuo-Yu Huang, Ming-Hung Shih

“…It then employs EEGNet, a deep learning model specifically designed for EEG classification, combined with a Transformer model featuring an attention mechanism that excels at capturing long-term sequential features to construct the Trans-EEGNet model. …”
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Few-shot Named Entity Recognition via encoder and class intervention by Long Ding, Chunping Ouyang, Yongbin Liu, Zhihua Tao, Yaping Wan, Zheng Gao

“…We show that we can steer the model to manufacture interventions on encoder and class, and reduce the interference of confounding factors. Specifically, while cross-sample attention perturbation is used in the encoder layer, a practical causal relation between feature and classification label is developed in the class layer. …”
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Jointly adaptive cross-resolution person re-identification on super-resolution by Caihong Yuan, Zhijie Guan, Yuanchen Xu, Xiaopan Chen, Xiaoke Zhu, Wenjuan Liang

“…RAReID extracts complementary features from LR and high-resolution (HR) images simultaneously and obtains more discriminative pedestrian representations through cascaded resolution adaptive feature fusion modules. …”
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Design of Segmented Ultra-Wideband TEM Horn Antenna for Calibration of Wideband Electromagnetic Pulse Sensors by Tianchi Zhang, Yongli Wei, Yuan Wang, Changjiao Duan, Lihua Wang, Zongxiang Li, Xiao Li, Xin Li, Baofeng Cao

“…The radiating plates feature a four-section polygonal design, and an end-loaded metal plate is integrated to reduce reflection signal interference. …”
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Dioctylsulfosuccinate Functionalized NiAl-Layered Double Hydroxide for Sensitive Fenuron Electroanalysis Using a Carbon Paste Electrode by Aude Peggy Kameni Wendji, Herve Leclerc Tcheumi, Ignas Kenfack Tonle, Emmanuel Ngameni

“…The increase in the fenuron signal was attributed to the high organophilic feature of this composite material induced by DSS modification. …”
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Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques by Chinna Gopi Simhadri, Hari Kishan Kondaveeti, Valli Kumari Vatsavayi, Alakananda Mitra, Preethi Ananthachari

“…Machine learning techniques are used to detect diseases based on the extracted features. In contrast, deep learning techniques learn complex patterns from large datasets without explicit feature extraction techniques and are well-suited for disease detection tasks. …”
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THE METHOD OF OPTIMIZATION OF THE SET OF TECHNICAL FACILITIES TO PROVIDE AVIATION SAFETY AND SECURITY by B. V. Zubkov, A. K. Volkov, A. K. Volkov

“…To solve this task it is necessary to determine the main features of the technical aids set, the criterion of the system operation quality and restrictions imposed on the system.Practical significance of the suggested method of optimization gives the possibility to solve the task of scientifically-grounded selection of technical aids set which is aimed at protecting from the acts of unlawful interference when guided by providing balance between expenses on aviation security and potential damage.…”
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Image Segmentation Method With Improved GA Optimization of Two-Dimensional Maximum Entropy by Jin Wang, Yanli Tan, Xiaoning Bo, Guoqin Li

“…From this, the improved algorithm greatly raises the similarity of segmented image features, has stronger resistance to noise interference than other algorithms, and significantly improves the recognition accuracy of different parts of the image. …”
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