Results 81 to 90 of about 618 (230)

Changes of Potential Suitable Areas for Lynx Under Climate Change in Mohe Area, Daxing'anling Mountains, China 气候变化下中国大兴安岭漠河地区猞猁潜在适宜区的变化

Wildlife Letters, EarlyView.
Climate change drives shifts in suitable habitats for Eurasian lynx and its prey (hare, roe deer) in Mohe, Daxing'anling Mountains. Under RCP scenarios, moderate warming (RCP4.5) promotes substantial habitat expansion, while high‐emission conditions (RCP8.5) lead to strong expansion in the 2050s but slower gains and partial contraction by the 2070s ...
Binglian Liu, Dan Ju, Hong Chen, Qi Qi, Geng Liu, Shaochun Zhou   +5 more
wiley   +1 more source

Edge‐Channel Aggregation Network and Two‐Stage Fine Tuning Scheme for Handwritten Dongba Character Recognition

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Handwritten Dongba Character Recognition (HDCR) contains a large number of visually similar characters with subtle and fragile edge cues, posing severe challenges to feature learning. To address this issue, an Edge Channel Aggregation Network (EdgeCANet) model is proposed.
Xiali Li, Yang Xiao, Xiaojun Bi, Yanlong Luo   +3 more
wiley   +1 more source

Task‐Aligned Haze Removal With Semantic‐Aware Fusion and Contrast Self‐Correction

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Adverse haze conditions introduce complex degradations that obscure scene details and distort structural cues critical for object detection, posing persistent challenges for vision‐based sensing systems. Although existing haze removal methods have achieved notable improvements in visual clarity, their optimisation objectives are often ...
Jinbin Wang, Aiping Yang, Guosong Jiang, Wenlong Yu, Dongwei Ren, Qinghua Hu   +5 more
wiley   +1 more source

TMSA‐Net: Transformer‐Based Multi‐Scale Attention U‐Net for Flood Image Segmentation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Flood detection is essential for real‐time applications, including disaster management, emergency response, and alerting people in flood zones. For successful flood detection, accurate flood region segmentation is essential. However, the flood region segmentation is challenging due to the complex background and occlusions with debris and the ...
Parham Imanzadeh Charandabi, Shivakumara Palaiahnakote, Apostolos Antonacopoulos, Christian Clausner   +3 more
wiley   +1 more source

Classification of Broadband Oscillations Using Wavelet Convolution and Multi‐Channel Attention Network

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, Ji Li, Yiyan Li, Yang Gao, Qingyuan Zhang, Yang Kou, Xiao Hu, WeiLe Liang   +7 more
wiley   +1 more source

Resource Availability and Habitat Quality Drive Time‐Lag Effects in High‐Altitude Ungulate Distribution

Integrative Zoology, EarlyView.
Our analysis revealed that while climate strongly influenced species distributions, habitat change drove most observed delays in distribution responses. In terms of community ecology, dispersed communities exhibited shorter time lags than concentrated groups. Analyses of lag duration revealed a 5–6‐year distribution lag effect in high‐altitude ungulate
Lu Wang, Xiuming Li, Ben Huang, Xiaoxue Li, Jizhen Chen, Ziyan Liao, Kun Jin   +6 more
wiley   +1 more source

Regularized reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno, Mark de Rooij, Roberta Siciliano   +2 more
wiley   +1 more source

Wave Tracing: Generalizing The Path Integral To Wave Optics

Computer Graphics Forum, EarlyView.
Abstract Modeling the wave nature of light and the propagation and diffraction of electromagnetic fields is crucial for the accurate simulation of many phenomena, yet wave simulations are significantly more computationally complex than classical ray‐based models.
Shlomi Steinberg, Matt Pharr
wiley   +1 more source

A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance

Computer Graphics Forum, EarlyView.
Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen, Pauli Kemppinen, Jaakko Lehtinen   +2 more
wiley   +1 more source

Threshold Signature Schemes Application

Безопасность информационных технологий, 2015
This work is devoted to an investigation of threshold signature schemes. The systematization of the threshold signature schemes was done, cryptographic constructions based on interpolation Lagrange polynomial, elliptic curves and bilinear pairings were ...
Anastasiya Victorovna Beresneva, Anna Vasilievna Epishkina   +1 more
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