Semi-Supervised Nuclei Instance Segmentation with Category-Adaptive Sampling and Region-Adaptive Attention by Xunci Li, Die Luo, Zimei Wei, Junan Long, Zhiwei Ye

“…Strong perturbations enhance the model’s ability to discriminate key nuclei features, while weak perturbations improve its robustness against noise and interference. …”
Get full text

Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

“…However, EEG signals can be noisy from a number of sources, including physiological artifacts and electromagnetic interference. They can also vary from person to person, which makes it harder to extract features and understand the signals. …”
Get full text

Underwater Time Delay Estimation Based on Meta-DnCNN with Frequency-Sliding Generalized Cross-Correlation by Meiqi Ji, Xuerong Cui, Juan Li, Lei Li, Bin Jiang

“…However, the complex propagation of sound waves and strong noise interference in the underwater environment make this task extremely challenging. …”
Get full text

Lightweight underwater object detection method based on multi-scale edge information selection by Shaobin Cai, Xin Zhou, Wanchen Cai, Liansuo Wei, Yuchang Mo

“…However, uneven lighting, color distortion, and noise interference in underwater environments severely impact image quality, significantly reducing detection robustness. …”
Get full text

DualDistill: a dual-guided self-distillation approach for carotid plaque analysis by Xiaoman Zhang, Jiang Xie, Haibing Chen, Haiya Wang

“…Second, a spatial-temporal attention-guided strategy is developed to reduce the impact of irrelevant features and noise by emphasizing relevant regions within both spatial and temporal dimensions. …”
Get full text

Research on channel estimation based on joint perception and deep enhancement learning in complex communication scenarios by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

“…Communication systems frequently encounter multiple challenges, such as multipath propagation, signal fading, and interference, which may result in the degradation of communication quality, a reduction in data transmission rates, and even communication interruptions. …”
Get full text

The right to be heard: towards a general principle of administrative law by P. A. Kuryndin

“…To do this, it is necessary to determine the historical background for the emergence of this right, the development features in various legal traditions, to identify the features of Russian judicial practice, correlating them with foreign doctrines and associated concepts (primarily, with the right of participation).Main results. …”
Get full text

From DVB-S to DVB-S2X: Progress in Standardization of Digital Satellite Broadcasting Systems by K. Yu. Kolomensky, A. Yu. Demidova, A. S. Kazarinov

“…To study the current progress in the standardization of digital satellite broadcasting systems, to analyze their new features and capabilities, to compare their main characteristics, and to distinguish the advantages of new systems in relation to previous versions.Materials and methods. …”
Get full text

Lightweight deep learning method for end-to-end point cloud registration by Linjun Jiang, Yue Liu, Zhiyuan Dong, Yinghao Li, Yusong Lin

“…In this study, we propose a lightweight deep learning-based registration method that captures features from multiple perspectives to predict overlapping points and mitigate the interference of non-overlapping points. …”
Get full text

A Case of Solitary Fibrous Tumor in the Pelvis Completely Resected Using the Hugo RAS System by Maho Toyota, Masaaki Miyo, Koichi Okuya, Ai Noda, Masayuki Ishii, Ryo Miura, Kohei Okamoto, Tatsuya Ito, Yuji Akiyama, Tadashi Ogawa, Akina Kimura, Ichiro Takemasa

“…It is commonly located in the thoracic cavity but rarely develops in the pelvis. One of the features of the Hugo RAS system is the independent robotic arm carts that enable high flexibility of settings and safe operations with reduced interference, even in a narrow pelvis, which may be particularly useful in surgery for pelvic masses. …”
Get full text

A SAR-based flood mapping approach: application of SAR-SIFT registration and modified DeepLabV3 segmentation in flood hazard assessment by Zhuoyu Zhang, Jiaqi Xiong, Xiang Li, Yu Li, Junrong Liu

“…A DEM gradient strategy mitigates terrain shadow interference, refining detection reliability. Experimental results achieve 0.9840 overall accuracy, 0.9631 precision, 0.882 recall, 0.9207 F1-score, and 0.8483 IoU. …”
Get full text

1.79-GHz acquisition rate absolute distance measurement with lithium niobate electro-optic comb by Yifan Qi, Xingyu Jia, Jingyi Wang, Weiwei Yang, Yihan Miao, Xinlun Cai, Guanhao Wu, Yang Li

“…Leveraging these unique features, RRMFC can coherently measure the distance by detecting interference peaks in the time domain, leading to acquisition rates up to 1.79 GHz and a large non-ambiguity range. …”
Get full text

Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques by Filippo Laganà, Danilo Pratticò, Giovanni Angiulli, Giuseppe Oliva, Salvatore A. Pullano, Mario Versaci, Fabio La Foresta

“…The electrical signals analyzed on healthy and unhealthy subjects are acquired using a meticulously developed integrated circuit system featuring biopotential acquisition electrodes. The signals captured in the database are extracted, classified, and interpreted by the application of CNNs with the aim of identifying patterns indicative of neuromuscular problems. …”
Get full text

Evidence for correlated electron pairs and triplets in quantum Hall interferometers by Wenmin Yang, David Perconte, Corentin Déprez, Kenji Watanabe, Takashi Taniguchi, Sylvain Dumont, Edouard Wagner, Frédéric Gay, Inès Safi, Hermann Sellier, Benjamin Sacépé

“…Abstract The pairing of electrons is ubiquitous in electronic systems featuring attractive inter–electron interactions, as exemplified in superconductors. …”
Get full text

Analytical development and application of a targeted liquid chromatography-tandem mass spectrometry assay for chimeric aducanumab by Emma H. Doud, Kasi Hansen, Kathryn A. Haynes, Kierra Eldridge, Jaison Arrivalagan, Nitin Charbe, Lais Da Silva, Sara K. Quinney, Amber L. Mosley, Stacey J. Sukoff Rizzo, Paul R. Territo

“…Key features include protein A enrichment for improved sensitivity, optimized peptide selection based on sequence uniqueness and ionization response, and incorporation of stable isotope-labeled peptides for accurate quantification. …”
Get full text

QoS-Based Resource Allocation in Multicarrier NOMA-IBFD Cellular System With Sectorization by Ananda Kumar Karem, A. Krishna Chaitanya, Satya Kumar Vankayala, Seungil Yoon, Ganesh Chandrasekaran, Karthik Muralidhar

“…In this study, we examine the performance of a multicell cellular system featuring an Non-orthogonal multiple access (NOMA) - In-band full duplex transmission (IBFD) enabled base station to improve spectral efficiency. …”
Get full text

Enhanced spectral signatures with Ag nanoarrays in hyperspectral microscopy for CNN-based microplastics classfication by Xinwei Dong, Xinwei Dong, Xu Zhao, Jianing Xu, Qianqian Chen, Hanwen Luo, Fuxin Zheng, Tao Zhang, Yansheng Liu

“…The localized surface plasmon resonance (LSPR) effect of Ag nanoarrays enhances spectral resolution by suppressing background reflections and isolating microplastic reflection bands from interference. This improvement results in significantly increased SNR and more distinct spectral features. …”
Get full text

Wide Range Voltage Scaling Converter With Extended Duty and Low Voltage Stress for a DC Microgrid Applications by Md Samiullah, Mohammed Al-Hitmi, Ali T. Al Awami, Shirazul Islam, Atif Iqbal

“…The proposed converter features an extendable design and flexible control, enabled by the incorporation of dual duty cycles, allowing for a broader range of operational flexibility. …”
Get full text

Alertness assessment by optical stimulation-induced brainwave entrainment through machine learning classification by Yong Zhou, Yizhou Tan, Shasha Wang, Hanshu Cai, Ying Gu

“…The correlation between nine EEG features during the BWE and different alertness states were analyzed. …”
Get full text

A Multi-Sensor Fusion Approach Combined with RandLA-Net for Large-Scale Point Cloud Segmentation in Power Grid Scenario by Tianyi Li, Shuanglin Li, Zihan Xu, Nizar Faisal Alkayem, Qiao Bao, Qiang Wang

“…This integration enables the construction of a colored point cloud dataset with rich visual and geometric features. Based on the RandLA-Net framework, an efficient processing method for large-scale point cloud segmentation is developed and optimized explicitly for power grid tower scenarios. …”
Get full text