Results 111 to 120 of about 59,151 (296)

ConFAS-Net: Few-Shot SAR Target Recognition via Confusion-Aware Attention and Adaptive Decision Scaling

Remote Sensing
Synthetic aperture radar (SAR) target recognition under few-shot scenarios faces challenges of insufficient feature extraction and severe inter-class confusion. To address these issues, a confusion-aware few-shot attention and scaling network (ConFAS-Net)
Xin Zhao, Xiaorong Xue, Yishuo Tian, Jingtong Yang, Bingyan Lu, Wen Zhang, Wancheng Wang   +6 more
doaj   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

A large language model-enhanced few-shot learning algorithm for network complaint intent recognition

Dianxin kexue
Addressing the escalating challenge of network complaint handling in the 5G era, driven by increasingly complex network architectures and growing user bases, the aim is to solve the prevalent issue of few-shot intent recognition for complaint categories ...
GU Ninglun, LUO Zhiyi, WANG Xidong, DING Jianbing, OUYANG Ye   +4 more
doaj  

Optimal azimuth angle selection for limited SAR vehicle target recognition

International Journal of Applied Earth Observations and Geoinformation
Lack of labeled data is a common problem among synthetic aperture radar (SAR) target recognition, which can be defined as few-shot and limited-data SAR target recognition.
Linbin Zhang, Xiangguang Leng, Sijia Feng, Xiaojie Ma, Kefeng Ji, Gangyao Kuang, Li Liu   +6 more
doaj   +1 more source

Overcoming data limitations: Few-shots classification for Radar-Based Hand Gesture Recognition

, 2023
reservedFew-shot learning is a cutting-edge machine learning paradigm designed to address the challenge of limited data availability. This research introduces a novel approach to alleviate data constraints in radar-based hand gesture recognition.
CALISTRONI, FRANCESCO MARIA
core  

ZW4864‐mediated inhibition of the β‐catenin/BCL9/BCL9L complex reveals therapeutic potential in bladder cancer

Molecular Oncology, EarlyView.
BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi, Mandy Berndt‐Paetz, Eileen Lerner, Gregoire Najjar, Anca Azoitei, Krishna Pal Singh, Shailendra Kumar Gupta, Olaf Wolkenhauer, Cagatay Günes, Otmar Huber, Marc‐Oliver Grimm, Daniel Steinbach   +11 more
wiley   +1 more source

Enhancing Few-Shot SAR Ship Recognition: Pseudospectrum Information Generation and Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The limited number of samples in synthetic aperture radar (SAR) ship datasets hampers the advancement of target recognition performance using deep learning. Given the complex-valued nature of SAR data, incorporating spectrum information is beneficial for
Gui Gao, WenXi Liu, Xi Zhang
doaj   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

A novel prompting method for few-shot NER via LLMs

Natural Language Processing Journal
In various natural language processing tasks, significant strides have been made by Large Language Models (LLMs). Researchers leverage prompt method to conduct LLMs in accomplishing specific tasks under few-shot conditions.
Qi Cheng, Liqiong Chen, Zhixing Hu, Juan Tang, Qiang Xu, Binbin Ning   +5 more
doaj   +1 more source

Bayesian Embeddings for Few-Shot Open World Recognition

, 2022
As autonomous decision-making agents move from narrow operating environments to unstructured worlds, learning systems must move from a closed-world formulation to an open-world and few-shot setting in which agents continuously learn new classes from ...
Harakeh, Ali, Harrison, James, Finn, Chelsea, Waslander, Steven, Willes, John, Pavone, Marco   +5 more
core