Results 131 to 140 of about 57,218 (285)

RDHNet: Reversible Data Hiding Method for Securing Colour Images Using AlexNet and Watershed Transform in a Fusion Domain

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Medical images play a crucial role in diagnosis, treatment procedures and overall healthcare. Nevertheless, they also pose substantial risks to patient confidentiality and safety. Safeguarding the confidentiality of patients' data has become an urgent and practical concern.
Mohamed Meselhy Eltoukhy, Faisal S. Alsubaei, Mostafa M. Abdel‐Aziz, Khalid M. Hosny   +3 more
wiley   +1 more source

Differentiable Kernels in Generalized Matrix Learning Vector Quantization [PDF]

, 2012
Marika Kästner, David Nebel, Martin Riedel, Michael Biehl, Thomas Villmann   +4 more
openalex   +1 more source

Approximate‐Guided Representation Learning in Vision Transformer

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In recent years, the transformer model has demonstrated excellent performance in computer vision (CV) applications. The key lies in its guided representation attention mechanism, which uses dot‐product to depict complex feature relationships, and comprehensively understands the context semantics to obtain feature weights.
Kaili Wang, Xinwei Sun, Huijie He, Fenhua Bai, Tao Shen   +4 more
wiley   +1 more source

Application of deep learning image recognition for lithium battery State of Health assessment

Energy Conversion and Economics, EarlyView.
Abstract Accurately estimating the State of Health (SOH) of lithium‐ion batteries is essential for ensuring their reliable operation. The constant‐current charging voltage curves of batteries at different aging levels show significant deviations.
Yanli Liu, Yu Su, Shaofan Zhang, Vladimir Terzija, Ze Cheng   +4 more
wiley   +1 more source

Unsupervised Segmentation Method for Brain MRI Based on Fuzzy Techniques

مجلة النهرين للعلوم الهندسية, 2010
In the present research a novel spatially weighted Fuzzy C-Means (FCM) clustering algorithm for image thresholding is presented. The segmentation technique is for magnetic resonance (MR) images of the brain based on fuzzy algorithms for learning vector ...
Nasser N. Khamiss
doaj  

Using an Optimized Learning Vector Quantization- (LVQ-) Based Neural Network in Accounting Fraud Recognition.

Comput Intell Neurosci, 2021
Zheng Y, Ye X, Wu T.
europepmc   +1 more source

Enhanced image‐splicing classification: A resilient and scale‐invariant approach utilizing edge‐weighted local texture features

Journal of Forensic Sciences, EarlyView.
Abstract The spread of image editing tools demonstrates how modern mixed‐media technology enables changes in digital images. Such easy access raises severe moral and legal concerns around the potential for malicious image editing. Overcoming this difficulty will need the development of innovative approaches for the quick detection of changes in high ...
Arslan Akram, Muhammad Arfan Jaffar, Javed Rashid, Salah Mahmoud Boulaaras, Muhammad Faheem   +4 more
wiley   +1 more source

Selection of Odor Adsorption Films for Sensory Quantity Evaluation and Estimation Using Fuzzy Learning Vector Quantization

, 1995
Yuichi Sakuraba, Junichi Ide, Takamichi Nakamoto, Toyosaka Moriizumi   +3 more
openalex   +2 more sources

Voltage Problem Location Classification Using Performance of Least Squares Support Vector Machine LS-SVM and Learning Vector Quantization LVQ [PDF]

, 2014
M. Khaled Abduesslam, Mohammed Ali, Basher H. Alsdai, Muhammad Nizam Inayati   +3 more
openalex   +1 more source

Towards scalable insect monitoring: Ultra‐lightweight CNNs as on‐device triggers for insect camera traps

Methods in Ecology and Evolution, EarlyView.
Abstract Camera traps, combined with AI, have emerged to achieve automated, scalable biodiversity monitoring. However, passive infrared (PIR) sensors that typically trigger camera traps are poorly suited for detecting small, fast‐moving ectotherms such as insects. Insects comprise over half of all animal species and are key components of ecosystems and
Ross J. Gardiner, Sareh Rowlands, Benno I. Simmons   +2 more
wiley   +1 more source