Results 211 to 220 of about 86,248 (260)

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

STS-AT: A Structured Tensor Flow Adversarial Training Framework for Robust Intrusion Detection. [PDF]

Sensors (Basel)
Zhu J, Chen Z, Cong R, Sun H, Dong Y.
europepmc   +1 more source

Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox (Ovibos moschatus)

Remote Sensing in Ecology and Conservation, EarlyView.
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand, Samuel Foucher, Alexandre Delplanque, Joëlle Taillon, Jérôme Théau   +4 more
wiley   +1 more source

Dynamic background motion object semantic segmentation algorithm based on generative adversarial network and transformer collaboration. [PDF]

Sci Rep
Li Y, Luo Z, Chen T, Huang X, Zhong C, Zhu G, Jin D, Cheng C, Zhang Y, Zhao J, Gao P.   +10 more
europepmc   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Dialectal substitution as an adversarial approach for evaluating Arabic NLP robustness. [PDF]

Sci Rep
Alshemali B.
europepmc   +1 more source

Sustainability: The Forgotten Arena of eSports Research—A Systematic Literature Review From an ESG Perspective

Sustainable Development, EarlyView.
ABSTRACT Despite the growth of eSports, the sector faces critical challenges related to its sustainability. This research analyzes these issues from an environmental, social, and governance (ESG) perspective. This paper consists of a systematic literature review on eSports and its implications for sustainability.
M. Ertz, C. Ouerghemmi, Y. Laghrib, M. Kordi, J. Bousquet, A. Kazemipour   +5 more
wiley   +1 more source

A device-invariant multi-modal learning framework for respiratory disease classification. [PDF]

NPJ Digit Med
Yang M, Liu X, Du W, Liu Y, Zhu W, Bu Z, Mao J, Wang Q, Chen S, Zhou M, Qu JM.   +10 more
europepmc   +1 more source

Evaluating the Role of Social Capital for the Design of Sustainable River Governance Strategies: The Case of Tagus River

Sustainable Development, EarlyView.
ABSTRACT This study examines the role of social capital in designing and implementing more effective governance strategies to improve the state of the Tagus River's significantly deteriorated middle reach (Spain). We employed social network analysis (SNA) to evaluate the bonding, bridging and linking social capital and the quality of stakeholder ...
Leticia Blázquez, Juan A. García, José M. Bodoque   +2 more
wiley   +1 more source

Toward leveraging intrinsic point cloud features in 3D adversarial attacks. [PDF]

PLoS One
Naderi H, Dinesh C, Bajić IV, Kasaei S.
europepmc   +1 more source