Results 231 to 240 of about 8,775 (289)

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

A Survey of Modern Data Acquisition and Analysis Systems for Environmental Risk Monitoring in Aquatic Ecosystems. [PDF]

Sensors (Basel)
Perra N, Giusto D, Anedda M.
europepmc   +1 more source

Intrusion Detection in the Internet of Things: A Comprehensive Review of Techniques, Architectures, Datasets, and Emerging Trends. [PDF]

Sensors (Basel)
Komal A, Li S.
europepmc   +1 more source

Quantum deep learning-enhanced ethereum blockchain for cloud security: intrusion detection, fraud prevention, and secure data migration. [PDF]

Sci Rep
Nagarjun AV, Rajkumar S.
europepmc   +1 more source

Architectures, Protocols and Algorithms of Sensor Networks-Second Edition. [PDF]

Sensors (Basel)
Płaczek B.
europepmc   +1 more source

Low-Latency Oriented Joint Data Compression and Resource Allocation in NOMA-MEC Networks: A Deep Reinforcement Learning Approach. [PDF]

Sensors (Basel)
Tan F, Zeng Y, Lan C, Zhou Z.
europepmc   +1 more source

Learning transformer network for effective radar chaff jamming suppression. [PDF]

Sci Rep
Li S, Zhu J, Liu J.
europepmc   +1 more source