Results 201 to 210 of about 25,600 (268)

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li   +3 more
wiley   +1 more source

TriCrackNet: Trilateral Segmentation Network for Real‐Time Crack Segmentation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT To achieve high‐precision real‐time crack segmentation, we propose TriCrackNet, an efficient network based on a tri‐branch collaborative architecture incorporating boundary constraints, semantic parsing, and spatial refinement. In the semantic branch, efficient atrous spatial pyramid pooling (EASPP) is integrated.
Haixin Jia   +5 more
wiley   +1 more source

A Novel Converter Transformer DAM‐LSTNet Vibration Generation Model for Data Imbalance Identification

open access: yesHigh Voltage, EarlyView.
ABSTRACT Converter transformer vibration failures, primarily because of winding and core vibrations, severely impact the safe operation of high voltage direct current (HVDC) systems. These vibrations are influenced by voltage and current, and are transmitted through transformer oil and structural components to the tank. Current numerical models fail to
Peiyu Jiang, Fanghui Yin, Liming Wang
wiley   +1 more source

Quantitative Structure–Property Relationship for High Flash Point of Ester Oil Molecules and Its Experimental Verification

open access: yesHigh Voltage, EarlyView.
ABSTRACT With the increasing voltage of ester oil‐filled transformers and their application in offshore wind power, developing high‐performance, fire‐resistant esters is crucial for enhancing transformer safety. Flash point, a key indicator of fire‐resistant performance for esters, is directly related to the molecular structures.
Jingwen Zhang   +4 more
wiley   +1 more source

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