Results 111 to 120 of about 338,614 (301)

Semi-supervised Learning of Visual Causal Macrovariables

, 2023
Aruna Jammalamadaka, Lingyi Zhang, Joseph F. Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya   +6 more
openalex   +2 more sources

Can semi-supervised learning reduce the amount of manual labelling\n required for effective radio galaxy morphology classification? [PDF]

, 2021
Inigo Val Slijepcevic, Anna M. M. Scaife
openalex   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification [PDF]

, 2023
Pranav Singh, Raviteja Chukkapalli, Shravan Chaudhari, Luoyao Chen, Mei Chen, Jinqian Pan, Craig Smuda, Jacopo Cirrone   +7 more
openalex   +1 more source

Integration of Freestanding High‐k Oxide Membranes for 2D Ferroelectric Field‐Effect Transistors

Advanced Science, EarlyView.
This work introduces a defect‐tolerant integration strategy that enables freestanding BaTiO3 membranes to form low‐leakage top‐gate junctions with MoS2. The resulting FeFETs exhibit a record 0.22 V nm−1 memory window, ultrahigh‐k response, and near‐ideal subthreshold swings.
Zejing Guo, Xuyang Sha, Fang Xu, Guangyi Huang, Jinfeng Zhang, Yang Mou, Guorui Zhao, Jiaqi Liu, Qing Lan, Wenqing Song, Cheng Zhang, Hai Huang, Changlin Zheng, Lingfei Wang, Hangwen Guo, Jian Shen, Wu Shi   +16 more
wiley   +1 more source

Al Nanoparticle‐Decorated Metal Oxide Synaptic Transistors for Ultralow‐Energy Neuromorphic Computing with Wide Dynamic Range

Advanced Science, EarlyView.
A nanoparticle‐engineered electrolyte‐gated memtransistor is introduced as a materials‐level strategy to overcome the intrinsic trade‐off between energy consumption and synaptic precision. By embedding aluminum nanoparticles at the oxide–electrolyte interface to modulate ion trapping dynamics, the device achieves stable multistate plasticity under ...
Jun‐Gyu Choi, Yoonseok Song, Seokhyeon Baek, Jingon Jang, Sungjun Park   +4 more
wiley   +1 more source

Analysis of Multiscale Condensation Phenomena Using a Zero‐Shot Computer Vision Framework

Advanced Science, EarlyView.
A zero‐shot computer vision framework quantifies multiscale condensation dynamics by automatically segmenting droplets and extracting physical parameters without labeled data. The workflow integrates data mining and statistical analysis to reveal droplet growth, coalescence statistics, and sweeping behaviors, enabling label‐free measurement of heat ...
Donghyeong Lee, Seokwan Roh, Jaewoo Jeong, Kuk‐Jin Yoon, Jungchul Lee, Youngsuk Nam   +5 more
wiley   +1 more source

Urban Change Detection Using a Dual-Task Siamese Network and Semi-Supervised Learning [PDF]

, 2022
Sebastian Häfner, Yifang Ban, Andrea Nascetti   +2 more
openalex   +1 more source

Muffled Semi-Supervised Learning

, 2016
We explore a novel approach to semi-supervised learning. This approach is contrary to the common approach in that the unlabeled examples serve to "muffle," rather than enhance, the guidance provided by the labeled examples. We provide several variants of the basic algorithm and show experimentally that they can achieve significantly higher AUC than ...
Balsubramani, Akshay, Freund, Yoav
openaire   +2 more sources

Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing

Advanced Science, EarlyView.
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu   +6 more
wiley   +1 more source