Results 191 to 200 of about 207,683 (286)
The analysis of fraud detection in financial market under machine learning. [PDF]
Jin J, Zhang Y.
europepmc +1 more source
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
Quantum deep learning-enhanced ethereum blockchain for cloud security: intrusion detection, fraud prevention, and secure data migration. [PDF]
Nagarjun AV, Rajkumar S.
europepmc +1 more source
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Dual attention-based deep learning with blockchain for multimedia data processing and secure access control in IoHT. [PDF]
Reddy GK +5 more
europepmc +1 more source
Determination of consumer context in an online transaction process for a high risk purchase
Robert G Grant +2 more
openalex +1 more source
Legged robots have advanced in environmental interaction through contact, but most works rely on fixed contact sequences. This work presents a new method based on an indirect optimization method for legged robots to automatically generate contact sequences for complex movements.
Yaowei Chen, Jie Zhang, Ming Lyu
wiley +1 more source
RABEM: risk-adaptive Bayesian ensemble model for fraud detection. [PDF]
Almarshad FA +3 more
europepmc +1 more source
Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing
Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to disentangle overlapping signals directly from raw time‐series data is presented.
Moritz Leuthner +2 more
wiley +1 more source
Intelligent Algorithms for the Detection of Suspicious Transactions in Payment Data Management Systems Based on LSTM Neural Networks. [PDF]
Mukhamadiyev A +3 more
europepmc +1 more source

