Results 131 to 140 of about 259,517 (255)

Online Safe Flight Control Method Based on Constraint Reinforcement Learning

Drones
UAVs are increasingly prominent in the competition for space due to their multiple characteristics, such as strong maneuverability, long flight distance, and high survivability.
Jiawei Zhao, Haotian Xu, Zhaolei Wang, Tao Zhang   +3 more
doaj   +1 more source

Collaborative meta-learning

, 2010
This paper proposes an ontology and a markup language to describe machine learning experiments in a standardized fashion and support a collaborative approach to the analysis of learning algorithms. Experiments can then be shared with the community and augmented with large amounts of experiments by other researchers as well as all measurable properties ...
Vanschoren, Joaquin, Soldatova, Larisa
openaire   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 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

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source

XOR‐Logic Phase Coding Programmable Metasurface for Low Power‐Consumption Systems

Advanced Science, EarlyView.
By leveraging XOR logic, the biasing‐network complexity of 2D programmable metasurfaces is reduced from m×n to m+n through efficient row‐column control. This enables versatile functions including beam deflection and beamforming, facilitating applications in wireless communications and beyond.
Ruichao Zhu, Sai Sui, Junyan Dai, Qunyan Zhou, Yuxiang Jia, Yajuan Han, Yuxi Li, Shaojie Wang, Qiang Cheng, Jiafu Wang, Tie Jun Cui   +10 more
wiley   +1 more source

Reply to “Comment on ‘De Novo Reconstruction of 3D Human Facial Images From DNA Sequence’”

Advanced Science, EarlyView.
ABSTRACT This manuscript is a formal response to the Comment by Wagner et al. regarding our publication “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence.” We clarify the methodological rationale, analytical procedures, and scientific scope of our original study, and we address several misconceptions arising in the Comment. We further
Mingqi Jiao, Jiarui Li, Chunman Zuo, Sijia Wang, Luonan Chen   +4 more
wiley   +1 more source

Meta-learning with Heterogeneous Tasks

Meta-learning is a general approach to equip machine learning models with the ability to handle few-shot scenarios when dealing with many tasks. Most existing meta-learning methods work based on the assumption that all tasks are of equal importance. However, real-world applications often present heterogeneous tasks characterized by varying difficulty ...
Zhaofeng Si, Shu Hu, Kaiyi Ji, Siwei Lyu
openaire   +2 more sources

A smart headband for multimodal physiological monitoring in human exercises

Advanced Science, EarlyView.
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu, Guanxing Chen, Jingyi Peng, Shuo Tian, Qian Mao, Caise Wei, Jinfeng Yuan, Rong Zhu   +7 more
wiley   +1 more source

Price Premiums for Single‐Name and Compound‐Name Geographical Indications in Swiss Cheese Trade

Agribusiness, EarlyView.
ABSTRACT Geographical indications (GIs) have become increasingly important in agri‐food markets, especially in Europe. For Swiss cheese imports and exports, we analyze whether GIs are associated with higher trade prices. We find that price premiums can be obtained for both exports and imports. However, this is only the case for cheeses with single name
Judith Irek
wiley   +1 more source