Results 201 to 210 of about 108,365 (267)

Explainable dual LSTM-autoencoders with exogenous features for anomaly detection and supply chain forecasting. [PDF]

Sci Rep
Xiaoyang C.
europepmc   +1 more source

Dual‐Laser Optical Tweezers for Photothermal Analysis of Hybrid Microgels

Advanced Science, EarlyView.
Dual‐laser optical tweezers unlock real‐time, single‐particle resolution of light‐driven actuation. Direct visualization and precise quantification of size changes under varying laser intensity provide new insights, overcoming limitations of conventional microscale actuator analysis.
Se‐Hyeong Jung, Chi Zhang, Nick Stauffer, Frank Scheffold, Lucio Isa   +4 more
wiley   +1 more source

A survey of streaming data anomaly detection in network security. [PDF]

PeerJ Comput Sci
Zhou P.
europepmc   +1 more source

A Secure and Efficient Certificateless Authentication Scheme With Unsupervised Anomaly Detection in VANETs

, 2018
Haowen Tan, Ziyuan Gui, Ilyong Chung
openalex   +1 more source

Olfactory‐to‐Entorhinal Network Dysrhythmias Drive Parkinson's Cognitive Impairment Through Frequency‐Specific Oscillatory Decoupling

Advanced Science, EarlyView.
Wang et al reveal that in the olfactory system, the selective impairment of gamma‐driven Barcode features underlying early olfactory deficits, while the selective impairment of theta‐driven Barcode features underlying later cognitive deficits, further establishing cross‐network gamma oscillations in the early stage as a biomarker of later cognitive ...
Shuaishuai Wang, Zhishen Cai, Xingfeng Mao, Yixuan Zhang, Yunlong Pan, Jiawen Cheng, Xuechun Wang, Hengyi Song, Sasaki Takuya, Ming Lu, Gang Hu, Xiuxiu Liu, Yingmei Lu, Feng Han   +13 more
wiley   +1 more source

Robust crowd anomaly detection via hybrid ensemble learning for real-world surveillance. [PDF]

Sci Rep
Mabrouk D, Abdel-Fattah MA, Taha A.
europepmc   +1 more source

Harnessing Federated Learning for Anomaly Detection in Supercomputer Nodes

Emmen Farooq, Michela Milano, Andrea Borghesi   +2 more
openalex   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

Causal deep learning for enhancing explainability in 6G network edge intelligence anomaly detection. [PDF]

Sci Rep
Yi X, Zeng Z, Dai M, Kang A, Liu X, Liu Y.   +5 more
europepmc   +1 more source