Results 121 to 130 of about 22,071 (254)
DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source
Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction
ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun +4 more
wiley +1 more source
Ambulance route optimization in a mobile ambulance dispatch system using deep neural network (DNN). [PDF]
Selvan C, Anwar BH, Naveen S, Bhanu ST.
europepmc +1 more source
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source
Lightweight Advanced Deep Neural Network (DNN) Model for Early-Stage Lung Cancer Detection. [PDF]
Bhatia I +4 more
europepmc +1 more source
Abstract Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results.
X. Li, P. Zhang, X. Wang, H. Shen, Y. Hu
wiley +1 more source
ABSTRACT Research Question/Issue We investigate whether a quasi‐official minority shareholder, the China Securities Investor Services Center (CSISC), affects firms' investor relations management when it actively exercises its shareholder rights in listed firms. Research Findings/Insights We employ a machine learning–based algorithm to estimate response
Karel Hrazdil, Jiyuan Li, Xiang Zhang
wiley +1 more source
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source
Speech Recognition using Deep Neural Network Neural (DNN) and Deep Belief Network (DBN)
openaire +1 more source
On‐Chip Learning With Crossbar Arrays for Adaptive Edge Intelligence
Memristor crossbar arrays implemented on chip combines memory, computation, and learning. They allow for adapting the neural weights using the incoming sensor data. This architecture reduces data movement leading to low‐latency, energy‐efficient intelligence in edge while being reliability‐aware co‐design across devices, circuits, and algorithms that ...
Alex James
wiley +1 more source

