ANALYSIS OF RADIO SIGNAL PARAMETERS FOR EMISSION SOURCE IDENTIFICATION by D. V. Arkhipenkov

“…Radiomonitoring tools are used to detect, identify and locate sources of radioemission in the coverage area. …”
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Multi-view co-occurrence and dual-modality framework for breast cancer classification by Chong Su, Zhenghua Gong, Jie Cao

“…To address these limitations, this paper proposes a dual-modality and multi-view learning framework for breast cancer detection. Specifically, the Encoder module employs multi-scale feature extraction blocks to encode features from CC views, MLO views, and clinical tabular data separately. …”
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Smart Car Damage Assessment Using Enhanced YOLO Algorithm and Image Processing Techniques by Muhammad Remzy Syah Ramazhan, Alhadi Bustamam, Rinaldi Anwar Buyung

“…This study proposes an enhanced YOLOv9 network tailored to detect six types of car damage. The enhancements include the convolutional block attention module (CBAM), applied to the backbone layer to enhance the model’s ability to focus on key damaged regions, and the SCYLLA-IoU (SIoU) loss function, introduced for bounding box regression. …”
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Key method of digitization of power distribution panel with artificial intelligence identification for power communication network by LIU Lin, YANG Zhimin, HUANG Qiang, YANG Jingwei, CHEN Yitong

“…Secondly, an improved YOLOv5 network was introduced for the task of icon detection. By integrating ConvNext Block and bidirectional feature pynamid network (Bi-FPN) structures, the recognition accuracy for small targets, such as status lights, was significantly enhanced. …”
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An improved multi-object instance segmentation based on deep learning by Nawaf Alshdaifat, Mohd Azam Osman, Abdullah Zawawi Talib

“…First, adopting a DL approach improves the object's detection in the enhanced ResNet (residual neural network) and connects it with the convolution layer for each ResNet block. …”
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The story of elimination of visceral leishmaniasis (kala-azar) in India-Challenges towards sustainment. by Shyam Sundar

“…Periodic updates of health personnel, community awareness, and continued availability of the theragnostics are important steps for early detection and containment of an outbreak.…”
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RunicNet: Leveraging CNNs With Attention Mechanisms for Cervical Cancer Cell Classification by Erin Beate Bjørkeli, Morteza Esmaeili

“…Introduction: Early detection through routine screening methods, such as the Papanicolaou (Pap) test, is crucial for reducing cervical cancer mortality. …”
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FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images by Wei Li, Li Cao, He Deng

“…IntroductionSince optical coherence tomography angiography (OCTA) is non-invasive and non-contact, it is widely used in the study of retinal disease detection. As a key indicator for retinal disease detection, accurate segmentation of foveal avascular zone (FAZ) has an important impact on clinical application. …”
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Pre-stimulus beta power mediates explicit and implicit perceptual biases in distinct cortical areas by Carina Forster, Tilman Stephani, Martin Grund, Eleni Panagoulas, Esra Al, Simon M. Hofmann, Vadim V. Nikulin, Arno Villringer

“…In two EEG studies (43 and 39 participants) on somatosensory near-threshold detection, we investigated the pre-stimulus neural correlates of an (implicit) previous choice bias and an explicit bias. …”
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Accurate classification of benign and malignant breast tumors in ultrasound imaging with an enhanced deep learning model by Baoqin Liu, Shouyao Liu, Zijian Cao, Junning Zhang, Xiaoqi Pu, Junjie Yu

“…BackgroundBreast cancer is the most common malignant tumor in women worldwide, and early detection is crucial to improving patient prognosis. …”
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Crack-ConvT Net: A Convolutional Transformer Network for Crack Segmentation in Underwater Dams by Pengfei Shi, Hongzhu Chen, Zaiming Geng, Xinnan Fan, Yuanxue Xin

“…Abstract Crack detection is a critical approach to ensuring the structural health of dams. …”
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FAViTNet: An Effective Deep Learning Framework for Non-Invasive Fetal Arrhythmia Diagnosis by Bipin Samuel, Malaya Kumar Hota

“…The classification stage demonstrates an architecture involving spectral image tokenization and transformer encoder blocks. The spectral image tokenization module involves ghost bottleneck blocks, which are utilized to generate feature maps from the spectral images, subsequently transformed into 1D token embeddings. …”
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Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…First, data enhancement is implemented in the training strategy to ensure the model’s efficient learning and generalization ability in complex environments; then the Coordinate Attention mechanism is introduced to highlight the key features of the image and improve detail detection; Secondly, the Bidirectional Feature Pyramid Network structure is used to optimize the feature fusion and strengthen the information exchange between different layers through bidirectional connectivity; then, the loss function is optimized to improve the bounding box localization accuracy; and finally, the combined with the binocular vision stereo matching algorithm Semi-Global Block Matching to obtain the spatial location information of Kiwifruit. …”
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An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model by Nisha Y., Jagadeesh Gopal

“…The simulation findings indicate that the suggested framework has a higher detection rate than the existing prediction model.…”
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Birch pollen allergen-induced dsDNA release activates cGAS-STING signaling and type 2 immune response in mice by Pauline Chenuet, Manon Mellier, Yasmine Messaoud-Nacer, Elodie Culerier, Quentin Marquant, Louis Fauconnier, Nathalie Rouxel, Aurélie Ledru, Stéphanie Rose, Bernhard Ryffel, Lionel Apetoh, Valérie F.J. Quesniaux, Dieudonnée Togbe

“…Summary: Detecting cytoplasmic or extracellular DNA from host or pathogen origin by DNA sensor cyclic GMP-AMP synthase (cGAS) and stimulator of interferon genes (STING) triggers immune responses with secretion of type I interferons and inflammatory cytokines. …”
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Метод оценки частоты выполнения фрагментов кода последовательной программы by Alexander Shalimov

“…The goal of this article is to consider the task of determining the execution frequency of program basic blocks. This task is important for such applications as program optimization, paralleling program execution, computing resources allocation, program compaction, and malicious software detection. …”
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Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…The YOLOv5 algorithm adopted in this study excels at detecting small targets and provides multi-scale detection, strong versatility, fast training, inference speeds, and adaptable fine-tuning capabilities. …”
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Relatively low plasma cortisol levels in parturients are associated with epidural-related maternal fever by Chenxi Zhang, Qinjun Chu, Tao Wang, Hailong Bing, Lihui Bai, Liwei Sun, Dongqing Zhang, Jie Wang, Li Li, Qin Zhou, Zhengyuan Xia, Xiaogao Jin

“…Then, plasma cortisol and pro-inflammatory cytokine levels (IL-6, TNF-α, IL-2 and IFN-γ) were assessed to determine the impact of EA on the stress response. We also detected hormones related to the HPA axis, including CRH and ACTH plasma concentration. …”
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Comparing immunogenicity and protective efficacy of the yellow fever 17D vaccine in mice by Ji Ma, Robbert Boudewijns, Lorena Sanchez-Felipe, Niraj Mishra, Thomas Vercruysse, Dieudonné Buh Kum, Hendrik Jan Thibaut, Johan Neyts, Kai Dallmeier

“…Correlation analysis of infection outcome with pre-challenge immunological markers indicates that YFV-specific IgG might suffice for protection, even in the absence of detectable levels of neutralizing antibodies. Finally, we propose that, in addition to IFNAR-/- mice, C57BL/6 mice with temporally blocked IFN-α/β receptors represent a promising immunocompetent mouse model for the study of YF17D-induced immunity and evaluation of YF17D-derived vaccines.…”
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Cardioprotective Effect of Growth Differentiation Factor 15 Against Isoproterenol-Induced Cardiomyocyte Apoptosis via Regulation of the Mitochondrial Fusion by Yan Zhang, Zhu Mei, Xiaodong Jia, Haixu Song, Jing Liu, Xiaoxiang Tian, Tianyu Xu, Xiaoxia Fu

“…Reducing GDF15 exaggerated the ISO-induced cell apoptosis by blocking mitochondrial fusion and increasing oxidative stress. …”
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