A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...
A research team has developed a novel deep learning framework, RsegNet, to revolutionize how rubber tree plantations are monitored and managed.
A research team has developed a cutting-edge deep learning framework, TM-WSNet, that dramatically improves the accuracy of rubber tree identification and measurement in dense plantation environments.
This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...
The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...
Background: This study investigates the molecular mechanisms underlying genic male sterility in sweet pepper by examining the correlation between differentially expressed genes during various stages ...
Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...
Abstract: At present, computer technology has been popularized in physical education PE (Physical education) teaching in universities, and the complexity of PE teaching has been correspondingly ...
Abstract: In multimodal multi-objective optimization problems (MMOPs), multiple solutions on different Pareto optimal solution sets (PSs) are mapped to the same point on the Pareto front. Considering ...
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