Results 61 to 70 of about 6,629,786 (241)
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
A weakly-supervised follicle segmentation method in ultrasound images
Accurate follicle segmentation in ultrasound images is crucial for monitoring follicle development, a key factor in fertility treatments. However, obtaining pixel-level annotations for fully supervised instance segmentation is often impractical due to ...
Guanyu Liu +10 more
doaj +1 more source
Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang +11 more
wiley +1 more source
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar +9 more
wiley +1 more source
Weakly Supervised Multilabel Clustering and its Applications in Computer Vision
Clustering is a useful statistical tool in computer vision and machine learning. It is generally accepted that introducing supervised information brings remarkable performance improvement to clustering.
Hong, Richang +6 more
core +1 more source
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu +12 more
wiley +1 more source
A Weakly Supervised Network for Coarse-to-Fine Change Detection in Hyperspectral Images
Hyperspectral image change detection (HSI-CD) provides substantial value in environmental monitoring, urban planning and other fields. In recent years, deep-learning based HSI-CD methods have made remarkable progress due to their powerful nonlinear ...
Yadong Zhao, Zhao Chen
doaj +1 more source
Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang +7 more
wiley +1 more source
Consistent prototype contrastive learning for weakly supervised person search
Weakly supervised person search simultaneously addresses detection and re-identification tasks without relying on person identity labels. Prototype-based contrastive learning is commonly used to address unsupervised person re-identification.
Yu, Xiaohan +4 more
core +1 more source
Seed perception learning for weakly supervised semantic segmentation
The core challenge in image-level weakly supervised semantic segmentation lies in generating high-quality object localization maps from simple image labels.
Wanchun Sun, Shujia Li, Xinyu Duan
doaj +1 more source

