Results 201 to 210 of about 102,874 (306)

Frequency-aware transformer networks for robust and generalizable EEG-based seizure detection. [PDF]

Sci Rep
Gamal M, Abdel-Wanes M.
europepmc   +1 more source

A Bio‐Inspired Visual Sensor With UV‐to‐NIR Fusion for Enhanced Recognition in Autonomous Driving Systems

Advanced Science, EarlyView.
Inspired by the sophisticated multilayer retinal architecture found in Pacific salmon eyes, a novel van der Waals heterojunction sensor based on NbNiTe5/BP is designed. Upon illumination at distinct wavelengths of 365 and 820 nm, the device exhibits distinctive bipolar photocurrent responses with opposite polarities. This unique optoelectronic behavior
Tianle Zeng, Zishen Zhao, Keqin Tang, Yawen Luo, Junxin Yan, Kun Ye, Jinlu Liu, Zhuo Dong, Zhipeng Yu, Weiming Lv, Ruicheng Li, Yenasheng Li, Lixuan Liu, Tianyu Xue, Chun Zhao, Yan Zhou, Kai Zhang, Zhongming Zeng, Zhongyuan Liu   +18 more
wiley   +1 more source

Deep learning and eye tracking: Convolutional neural networks provide converging evidence for experience-driven attention within visual search. [PDF]

Behav Res Methods
Crotty N, Doyle A, Volkova K, Massa N, Benson NC, Grubb MA.   +5 more
europepmc   +1 more source

Transport–Reaction–Signal Coupling in Lateral Flow Assays for Next‐Generation Point‐of‐Care Diagnostics

Advanced Science, EarlyView.
Lateral flow assays are evolving into interdisciplinary, system‐level sensing platforms. Recent innovations are deconstructed through coupled phases of mass transfer, reaction, and signal transduction, revealing interdependence across porous materials, interfacial chemistry, nanolabels, readout devices, and data‐enabled analysis.
Yan Pan, Yuewei Li, Chao Mi, Zhengwen Yang, Lana McClements, Steven J. Langford, Jiayan Liao   +6 more
wiley   +1 more source

Convolutional Neural Networks in Radiology: Principles, Clinical Applications, and a Practical Framework for Radiologists. [PDF]

Med Princ Pract
Thompson B, Gibson J, Chapala S, Shah A, Botchu R.   +4 more
europepmc   +1 more source

Transformer‐Based PET/CT Fusion Enables Preoperative Prediction and Prognostic Stratification of Spread Through Air Spaces in Lung Adenocarcinoma

Advanced Science, EarlyView.
An eight‐stream 2.5D Transformer integrates complementary PET metabolic and CT morphologic information to estimate spread‐through‐air‐spaces risk before surgery in lung adenocarcinoma. The model generalizes across independent centers, while its continuous risk score independently stratifies progression‐free survival, supporting further prospective ...
Xin‐Yu Zhu, Meng Meng, Zhen‐Zhen Wang, Deng‐Lu Lu, Ya‐Min Wei, Xu‐Chang Mi, Xing‐Yu Mu, Wei Fu   +7 more
wiley   +1 more source

Dimensionality Reduction for Offline Alphabet Arabic Sign Language Recognition using Deep Learning. [PDF]

J Biomed Phys Eng
Awwad S, El-Salhi SM, Igried B.
europepmc   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Diffusion-Shock PDEs for Deep Learning on Position-Orientation Space. [PDF]

J Math Imaging Vis
Sherry FM, Schaefer K, Duits R.
europepmc   +1 more source

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source