Results 141 to 150 of about 76,480 (326)
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection
Cloud and snow detection in remote sensing images has advanced significantly with the aid of deep learning methods. However, deep learning methods necessitate a large quantity of labeled data, which consumes a substantial amount of human and material ...
Jiajun Yang +5 more
doaj +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Hierarchical Summary Statistics Encoding Across Primary Visual and Posterior Parietal Cortices
This study shows that mouse V1 simultaneously encodes the ensemble mean and variance of motion, providing a robust summary‐statistic representation that persists despite single‐neuron variability. These signals propagate to PPC, where they are transformed into abstract category representations during decision making.
Young‐Beom Lee +4 more
wiley +1 more source
Deep learning enables the modelling of high-resolution histopathology whole-slide images (WSI). Weakly supervised learning of tile-level data is typically applied for tasks where labels only exist on the patient or WSI level (e.g.
Abhinav Sharma +2 more
doaj +1 more source
DDeep3M+: adaptive enhancement powered weakly supervised learning for neuron segmentation. [PDF]
Xiao R +8 more
europepmc +1 more source
Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim +7 more
wiley +1 more source
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision [PDF]
Kun Qian +3 more
openalex +1 more source
Discovery of H2 Receptor Antagonists as Colistin Enhancers by Targeting Acid Stress Response
This study identifies YqgB as a key target for restoring colistin susceptibility in mcr‐positive pathogens under acidic conditions by remodeling phospholipid composition and reducing LPS modification. Deep learning‐based screening reveals H2 receptor antagonists as novel colistin adjuvants. Further investigations indicate that ranitidine and famotidine
Jinju Cai +7 more
wiley +1 more source
Urban airborne laser scanning (ALS) point clouds cover extensive geographical areas, rendering dense point-level annotation economically prohibitive and limiting the feasibility of fully supervised learning.
Ziwei Luo +6 more
doaj +1 more source

