Results 71 to 80 of about 1,671,237 (334)
Advanced Healthcare Materials, EarlyView.Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source
Results in EngineeringThis work proposes a Genetic Algorithm optimization based Fuzzy Reinforcement Learning (GAFRL) classifier for six forearm movements. Electromyogram (EMG) signal for movements are acquired through Biopac 100c System at asampling frequency of 1000 Hz for ...
Amit Kukker +2 more
doaj +1 more source
Remote Sensing, 2016 Urban fringe is the transition zone fine grained with urban and non-urban land cover types. The complex landscape mosaic in this area challenges the land cover classification based on the remote-sensing data.
Yetao Yang, Yi Wang, Ke Wu, Xin Yu
doaj +1 more source
One-Class Classification: Taxonomy of Study and Review of Techniques
, 2013 One-class classification (OCC) algorithms aim to build classification models when the negative class is either absent, poorly sampled or not well defined.
Khan, Shehroz S., Madden, Michael G.
core +1 more source
Advanced Materials, EarlyView.A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets [PDF]
, 2016 Non-technical losses (NTL) such as electricity theft cause significant harm to our economies, as in some countries they may range up to 40% of the total electricity distributed. Detecting NTLs requires costly on-site inspections.
Bettinger, Franck +6 more
core +2 more sources
Fuzzy granular approximation classifier
, 2022 In this article, a new Fuzzy Granular Approximation Classifier (FGAC) is introduced. The classifier is based on the previously introduced concept of the granular approximation and its multi-class classification case. The classifier is instance-based and its biggest advantage is its local transparency i.e., the ability to explain every individual ...
Palangetić, Marko +3 more
openaire +2 more sources
Electric‐Current‐Assisted Nucleation of Zero‐Field Hopfion Rings
Advanced Materials, EarlyView.This work reports a novel and efficient nucleation protocol for 3D localized topological magnetic solitons‐hopfion rings in chiral magnets using pulsed electric currents. By using Lorentz transmission electron microscopy and topological analysis, we report characteristic features and extraordinary stability of hopfion rings in zero or inverted external
Xiaowen Chen +12 more
wiley +1 more source
Improving Classification Performance of Neuro-fuzzy Classifier by Imputing missing Data
Int. J. Comput., 2019 In medical data classification, if the size of data sets is small and if it contains multiple missing attribute values, in such cases improving classification performance is an important issue.
B. Tarle, Muddana Akkalaksmi
semanticscholar +1 more source
Optical Detection and Modeling of Lithium Deposition on Copper Current Collectors
Advanced Materials Interfaces, EarlyView.ABSTRACT Understanding lithium (Li) deposition on copper (Cu) substrates is essential for improving the performance and lifetime of zero–excess lithium metal batteries. In this study, Li deposition was investigated under realistic coin–cell conditions using complementary scanning electron microscopy and laser scanning microscopy. A semi–automatic image
Tjark T. K. Ingber +4 more
wiley +1 more source