Results 131 to 140 of about 512,229 (281)

Interleaved Diffractive Networks for Information Transfer Through Random Diffusers

Laser &Photonics Reviews, EarlyView.
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li, Yiyang Wu, Shiqi Chen, Xilin Yang, Aydogan Ozcan   +4 more
wiley   +1 more source

Hyperspectral Image Reconstruction Based on Blur–Kernel–Prior and Spatial–Spectral Attention

Remote Sensing
Given the problem of spatial detail loss and spectral feature degradation in hyperspectral images (HSIs) characterized as blur, often caused by noise during image acquisition, and methods of removing blur noise designed on HSIs being insufficient, we ...
Hongyu Xie, Mingyu Yang, Huansong Huang, Mingle Zhang, Wei Zhang, Qingbin Jiao, Liang Xu, Xin Tan   +7 more
doaj   +1 more source

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

Laser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová, Dominik Vašinka, Robert Stárek, Miroslav Ježek   +3 more
wiley   +1 more source

Self‐calibrated B1+ and B0 Field Inhomogeneities Estimation (SAFE) in 3D Magnetic Resonance Fingerprinting

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop SAFE, a self‐calibrated framework to estimate B1+ and B0 field inhomogeneities directly from conventional magnetic resonance fingerprinting (MRF) acquisitions and improve its quantification accuracy. Methods SAFE utilized a two‐step approach. First, two physics‐informed image markers are extracted from the MRF data to create
Mengze Gao, Xiaozhi Cao, Daniel Raz Abraham, Zihan Zhou, Nan Wang, Congyu Liao, Yang Yang, Hanlin Sun, Hongwei Li, Yan Bai, Yu Shen, Yaping Wu, Meiyun Wang, Kawin Setsompop   +13 more
wiley   +1 more source

Hunting motivations, behaviour and forest access: Characterising wildlife hunting practices in a multi‐ethnic, forested landscape of Brunei Darussalam, Southeast Asia

People and Nature, EarlyView.
Abstract Unsustainable hunting practices can alter population dynamics, driving biodiversity declines, which leads to ‘empty forests’. Understanding hunting behaviour, including motivations for hunting and relationships with market drivers, and access to hunting grounds are important to develop affirmative policies to stem biodiversity loss.
Natasha L. M. Mannion, Rachel Gaulton, Maria Erica Jamil, Marion Pfeifer, Johan Willem Ferry Slik, Stephen G. Willis, F. Merlin Franco   +6 more
wiley   +1 more source

Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti, Saverio Iacoponi, Saif Alameri, Mohamed El Hanbaly, Mohammed Tarnini, Cesare Stefanini, Giulia De Masi, Federico Renda   +7 more
wiley   +1 more source

Improved Cerrado Wetland Mapping Through Seasonal Moisture Metrics, Terrain Information and Semantic Segmentation

Remote Sensing in Ecology and Conservation, EarlyView.
Brazil's Cerrado valley wetlands—swamp savanna and gallery forest—are highly important for the biome's water cycle and carbon storage and are susceptible to degradation from the impacts of land use expansion and the climate crisis. In support of their detailed monitoring and assessment, we developed and tested a transferable mapping approach that ...
Felix Beer, Hugo do Nascimento Bendini, Mateus de Souza Miranda, Vu‐Dong Pham, Leila Maria Garcia Fonseca, Cássia Beatriz Rodrigues Munhoz, Sebastian van der Linden   +6 more
wiley   +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

Simultaneous Tumor Segmentation, Image Restoration, and Blur Kernel Estimation in PET Using Multiple Regularizations. [PDF]

Comput Vis Image Underst, 2017
Li L, Wang J, Lu W, Tan S.
europepmc   +1 more source

Social Sustainability in Circular Bioeconomy Business Models: Insights From Argentina

Sustainable Development, EarlyView.
ABSTRACT Research on circular bioeconomy business models (CBEBM) has largely prioritised environmental and economic aspects, leaving out the social pillar. To address this gap, this paper analyses to what extent and in what ways social sustainability is integrated into CBEBM, based on 12 cases from northern Argentina, a region with high potential for ...
Celina N. Amato, Mónica Buraschi, Karen M. Siegel   +2 more
wiley   +1 more source