This a Tensorflow implementation of the ComGA algorithm, which designs a tailored deep graph convolutional network (tGCN) to capture local, global and structure anomalies for anomaly detection ... per ...

The selected features constituted DSSFs for cotton leaf wilt detection. Feature selection methods, including ANOVA, PLS regression, and Random Forest, were implemented using the scikit-learn Python ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

The Shah Alam LRT line extension will incorporate significant eco-friendly features when it opens in September, Prasarana president and group CEO Azharuddin Mat Sah said today. These include smart ...

AI-powered scam detection that alerts users to possible fraud when suspicious conversational patterns are found in Google Messages and Phone by Google. The feature, available for Pixel devices ...

Abstract: Accurate detection and precise localization of anomalies during precision component manufacturing are essential to maintaining high product quality. Multimodal industrial anomaly detection ...

This paper presents a novel Multi-Head Graph Attention Network (MHF-GAT) with Multi-Feature Fusion for interpersonal relationship detection (IRD) from images. The proposed architecture decomposes ...

Linear Trees combine ... to generate a new binary feature to be used in the first stage. The iterations continue until a certain stopping criterion is met. The module depends on NumPy, SciPy and ...

Indian actor Riteish Deshmukh is ruling hearts of his fans in Raid 2 with his Dadabhai character. The film is running successful at the cinemas and has crossed Rs. 150 crores at the Indian box ...