Results 221 to 230 of about 36,100 (302)

An object detection algorithm based on deep learning and salient feature fusion for roadside surveillance camera

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In intelligent transportation systems, object detection for a surveillance video is one of the important functions. The performance of existing surveillance video object detection algorithms is affected by the conflict between the features of the objects, which leads to a decline in precision.
Yang He, Lisheng Jin, Huanhuan Wang, Xinyu Sun, Zhen Huo, Guangqi Wang   +5 more
wiley   +1 more source

Infinitely Many Critical Points of Non-Differentiable Functions and Applications to a Neumann-Type Problem Involving the p-Laplacian

, 2002
S. Marano, Dumitru Motreanu
openalex   +1 more source

IDH Genotyping and Glioma Prognosis Research Based on an Interpretable Transformer Learning Framework

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate genotyping and prognosis of glioma patients present significant clinical challenges, often dependent on subjective judgement and insufficient scientific evidence. This study aims to develop a robust, noninvasive preoperative multi‐modal MRI‐based transformer learning model to predict IDH genotyping and glioma prognosis.
Xuan Yu, Yaping Wu, Yan Bai, Nan Meng, Shuting Jin, Qingxia Wu, Lijuan Chen, Ningli Wang, Xiaosheng Song, Guofeng Shen, Meiyun Wang   +10 more
wiley   +1 more source

Signal‐to‐noise and spatial resolution in in‐line imaging. 2. Phase‐contrast tomography

Journal of Synchrotron Radiation, EarlyView.
A biomedical X‐ray imaging quality characteristic, suitable for quantitative assessment of X‐ray images of biological samples, is introduced and then applied to analysis of propagation‐based X‐ray phase‐contrast computed tomography images of mastectomy samples.In the first part of this paper, quantitative aspects of propagation‐based phase‐contrast ...
Timur E. Gureyev, David M. Paganin, Konstantin M. Pavlov, Anton Maksimenko, Harry M. Quiney   +4 more
wiley   +1 more source

Evolution problems with perturbed 1-Laplacian type operators on random walk spaces. [PDF]

Math Ann
Górny W, Mazón JM, Toledo J.
europepmc   +1 more source

Analytic Singularities of Solutions to Certain Nonlinear Ordinary Differential Equations Associated with $p$-Laplacian [PDF]

, 2003
Lorna I. Paredes, Kôichi Uchiyama
openalex   +1 more source

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation

Methods in Ecology and Evolution, EarlyView.
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours ...
Marianna Chimienti, Akiko Kato, Vahid Seydi, Stefan Schoombie, Jefferson T. Hinke, Ruth Joy, Damian C. Lidgard, W. Chris Oosthuizen, Yannis P. Papastamatiou, Yan Ropert‐Coudert, Akinori Takahashi, Jean‐Baptiste Thiebot, Muriel Visani, Mickael Coustaty, Tiphaine Jeanniard‐du‐Dot   +14 more
wiley   +1 more source

Optimal Designs for Discrete Choice Models Via Graph Laplacians. [PDF]

J Stat Theory Pract
Röttger F, Kahle T, Schwabe R.
europepmc   +1 more source

Infinitely many positive solutions for the Neumann problem involving the p-Laplacian [PDF]

, 2003
Giovanni Anello, Giuseppe Cordaro
openalex   +1 more source

Quantifying functionally equivalent species and ecological network dissimilarity with optimal transport distances

Methods in Ecology and Evolution, EarlyView.
Abstract Quantifying the structure and dynamics of species interactions in ecological communities is fundamental to studying ecology and evolution. While there are numerous approaches to analysing ecological networks, there is not yet an approach that can (1) quantify dissimilarity in the global structure of ecological networks that range from ...
Kai M. Hung, Lydia Beaudrot, Ann E. Finneran, Alex G. Zalles, César A. Uribe   +4 more
wiley   +1 more source