Results 171 to 180 of about 30,075 (285)
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
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+4 more
wiley +1 more source
Habitat heterogeneity and demographic processes create variability in the major taxonomic diversity trends: 1) biotic homogenization and 2) the emergence of novel community compositions. Nonetheless, little is known about how the imprints of environmental filtering and random demographic processes on community dissimilarity vary over 1) time or 2 ...
Jussi Mäkinen+8 more
wiley +1 more source
Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53. [PDF]
Wertheim KY+3 more
europepmc +1 more source
ABSTRACT Detection of faults in solar photovoltaic (PV) systems is an important concern to guarantee that renewable energy source generation keeps its efficiency and reliability. It directly affects the development of sustainable development goals (SDGs), especially those on affordable and clean energy and climate action.
Praveen Kumar Balachandran+2 more
wiley +1 more source
Maximum independent set in multiplex social networks and its application to influence maximization. [PDF]
Daliri Khomami MM+2 more
europepmc +1 more source
Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM
First, the original ultrasound‐guided wave signal data is decomposed into multiple sub‐signals with varying frequencies using VMD to capture the multi‐scale features within the data. Second, the decomposed and noise‐reduced signal, processed by the HO‐VMD algorithm, is input into the CNN for further feature extraction through convolution and pooling ...
Fan Kesong+7 more
wiley +1 more source
Categories of important edges in dynamics on graphs. [PDF]
Rumiantsau D+3 more
europepmc +1 more source
Applications of artificial intelligence‐driven microfluidics in medical laboratory science
The advancements in microfluidics and artificial intelligence are transforming the landscape of Medical Laboratory Science. This article systematically reviews the approaches and applications of AI‐driven microfluidics for analyzing cells, bacteria, nucleic acids, proteins, viruses, and cancer, while also addressing current challenges and proposing ...
Qingyang Jiang+9 more
wiley +1 more source