Results 271 to 280 of about 39,632 (294)

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

Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network. [PDF]

Sci Rep
Zhang C, Guo Z, Li C.
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

Synthetic electroretinogram signal generation using a conditional generative adversarial network. [PDF]

Doc Ophthalmol
Kulyabin M, Zhdanov A, Lee IO, Skuse DH, Thompson DA, Maier A, Constable PA.   +6 more
europepmc   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Improved Face Image Super-Resolution Model Based on Generative Adversarial Network. [PDF]

J Imaging
Liu Q, Sun Y, Chen L, Liu L.
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

Anchor-controlled generative adversarial network for high-fidelity electromagnetic and structurally diverse metasurface design. [PDF]

Nanophotonics
Zeng Y, Cao H, Jin X.
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

A comprehensive comparative study of generative adversarial network architectures for synthetic computed tomography generation in the abdomen. [PDF]

Med Phys
Lapaeva M, La Greca Saint-Esteven A, Wallimann P, Andratschke N, Guckenberger M, Günther M, Tanadini-Lang S, Dal Bello R.   +7 more
europepmc   +1 more source