Results 121 to 130 of about 36,154 (265)
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Endoscopic orbital surgery is likely a reasonable option for patients with orbital cavernous hemangiomas (OCH) medial to the optic nerve (ON). The endoscopic resection of OCH lateral to the ON is extremely challenging. Zhou et al. first described the endoscopic prelacrimal recess approach (PLRA) for the management of the maxillary sinus and ...
Zhen‐Xiao Huang +2 more
wiley +1 more source
A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source
FMTNet: A Fourier‐Mamba–Transformer Enhanced Network for Medical Image Segmentation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Models based on U‐shaped networks have achieved widespread success in the field of medical image segmentation, but their performance is generally limited by structural bottlenecks in the network. At this stage, feature maps experience a sharp decline in spatial resolution due to continuous downsampling, resulting in significant loss of ...
Shaoqiang Wang +7 more
wiley +1 more source
A Robust Visual Inertial Odometry SLAM Considering Robot Self Dynamics
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In this paper, to deal with the dynamic SLAM problem, we investigate feature tracking and IMU preintegration in visual‐inertial odometry (VIO) and design a robust SLAM framework that explicitly considers robot self‐dynamics. We propose a self‐dynamics and IMU‐aided feature tracker to predict initial optical flow and an iterative refinement ...
Junyin Qiu, Hong Liu, Tianwei Zhang
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
Energy Internet, EarlyView.ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang +7 more
wiley +1 more source
Residual Life Assessment of Oil‐Immersed Insulating Paper by FTIR Feature Interpretability Evolution
High Voltage, EarlyView.ABSTRACT The ageing of insulating paper escalates the peril of insulation failure in oil‐impregnated‐paper power equipment. Consequently, the real‐time monitoring and non‐destructive assessment of insulating paper condition assume paramount significance.
Guangyi Liu +8 more
wiley +1 more source
Gender &History, EarlyView.ABSTRACT This research explores the adaptive strategies employed by Conversas (Christian women of Jewish origin) and Moriscas (Christian women of Muslim origin) in navigating adversity, particularly in their interactions with inquisitorial authorities in the early modern Crown of Aragon. This study analyses these women's efforts to uphold religious and
Ivana Arsić
wiley +1 more source
‘Let's Turn the Grass Into Meat’: Animal Husbandry as Women's Work in Cold War North Korea
Gender &History, EarlyView.ABSTRACT In postcolonial North Korea, the future of the nation was said to be a function of the feedlot. Unobtainable on the battlefields of the recently ended Korean War, liberation and unification of the peninsula became a question of competitive developmentalism.
Sunho Ko, Derek J. Kramer
wiley +1 more source
AutoPollS: A tool for automated monitoring of pollinators using deep learning
Methods in Ecology and Evolution, EarlyView.Abstract Deep learning and computer vision hold enormous potential for automated monitoring of biodiversity, including pollinators and other insects. Efficient, scalable monitoring of insect pollinators is crucial given pollinators' role in supporting biodiversity and agricultural productivity amidst declining pollinator populations.
Matthew A.‐Y. Smith +13 more
wiley +1 more source