Results 241 to 250 of about 300,366 (322)

Deep Learning-Based Fusion of Optical, Radar, and LiDAR Data for Advancing Land Monitoring. [PDF]

Sensors (Basel)
Li Y, Xiao X.
europepmc   +1 more source

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

Advanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao, Ata Golparvar, Mohammad Javad Bathaei, Filipe Arroyo Cardoso, Clementine M. Boutry   +4 more
wiley   +1 more source

FF-Mamba-YOLO: An SSM-Based Benchmark for Forest Fire Detection in UAV Remote Sensing Images. [PDF]

J Imaging
Guo B, Liu D, Shen Z, Wang T.
europepmc   +1 more source

Precise Regulation of Membrane Proteins: From Physical Technology to Biomolecular Strategy

Advanced Science, EarlyView.
This review summarizes the emerging strategies for the precise regulation of membrane proteins using physical stimuli and biomolecule‐based tools. These methods provide new insights into cell regulation and offer promising directions for future disease treatment.
Xiu Zhao, Qingqing Zhou, Mengli Li, Wen Zou, Zhenzhong Zhang, Jinjin Shi, Junjie Liu   +6 more
wiley   +1 more source

Integrated Polarimetric Spectral Imaging Sensor Combining Spectral Imaging and Polarization Modulation Techniques. [PDF]

Sensors (Basel)
Liu Z, Song Z, Li Z, Li L.
europepmc   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

A machine learning and remote sensing approach for accurate forest sub-compartment level vegetation cover change monitoring. [PDF]

Front Plant Sci
Zhang W, Tian Y, Su X, Wu D.
europepmc   +1 more source

Advancing Dry Electroencephalography With Scalable, Soft, and Transcranial Magnetic Stimulation‐Compatible Ti3C2Tx MXene Electrodes for Research and Clinical‐Grade Applications

Advanced Science, EarlyView.
Dry soft Ti3C2Tx MXene electroencephalography (EEG) electrodes provide low impedance (2.1 ± 1.8 kΩ at 10 Hz), long‐term stability, and enable safe simultaneous EEG and transcranial magnetic stimulation (TMS). Across scalp sites, hair types, and recording paradigms, including steady state visual evoked potentials (SSVEP), clinical EEG, and mobile EEG ...
Sneha Shankar, Jakob Michiels, Ksenija Tasich, Ashley Koluda, Ryan Rich, Brian Erickson, Eugenia Angelopoulos, Francesca Cimino, Daryl Hurwitz, Raghav Garg, Spencer R. Averbeck, Doris Xu, Mariam Josyula, Nina Petillo, James J. Gugger, Kathryn A. Davis, John Medaglia, Flavia Vitale   +17 more
wiley   +1 more source