Results 231 to 240 of about 6,288,155 (355)

A Review on Biodegradable Materials of Sustainable Soft Robotics and Electronics

Advanced Science, EarlyView.
Biodegradable materials are gaining increasing attention in soft robotics and electronics due to their environmental friendliness, showing great potential for sustainability. In this review, the classification of biodegradable materials, their applications in the field of soft robotics and electronics, as well as the challenges and future prospects ...
Yizhu Xie, Jiaxin Han, Xingyi Dai, Xuyang Zhang, Kangwen Xiao, Junhui Huang, Yajun Cao, Aihua Zhong, Long‐Biao Huang   +8 more
wiley   +1 more source

Information interaction and optimal scheduling method for prosumers in an energy community considering the profit driven degree. [PDF]

Sci Rep
Zhang H, Dong H, Wang G, Sun D, Lou J, Li G.   +5 more
europepmc   +1 more source

Algorithmic Trading & High Frequency Trading

International Journal for Research in Applied Science and Engineering Technology, 2019
openaire   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

Advanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na, Soobin Park, Younsu Jung, Jinhwa Park, Jimin Hong, Jihyun Lee, Albert Kim, Bongjun Kim, Gyoujin Cho, Eunju Cha, Seung Hyun Song   +10 more
wiley   +1 more source

Integrating event information and multi dimensional relationships for improved financial time series forecasting. [PDF]

Sci Rep
Du X, Cao J, Jiang X, Wang Q, Xu B, Liu Z, Chen Y, Yuan C.   +7 more
europepmc   +1 more source

Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market

Robert Ślepaczuk, Adam Korniejczuk
openalex   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

Advanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang, Jie Cao, Chang Zhou, Haifeng Yao, Qun Hao   +4 more
wiley   +1 more source

Revisiting big data optimism: risks of data-driven black box algorithms for society. [PDF]

Ethics Inf Technol
Mahajan S, Helbing D.
europepmc   +1 more source

<p>MACHINE LEARNING METHODS FOR CRYPTO LEVEL II DATA PREDICTION IN ALGORITHMIC TRADING</p>

Maysam Khodayari Gharanchaei
openalex   +1 more source

Designing Interfaces to Help Stakeholders Comprehend, Navigate, and Manage Algorithmic Trade-Offs. [PDF]

, 2019
Bowen Yu, Ye Yuan, Loren Terveen, Zhiwei Steven Wu, Haiyi Zhu   +4 more
openalex