An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Abstract: We propose an ADM-optimized bidirectional LSTM (ADM-BiLSTM) for anomaly detection in 6G smart-home IoT. The framework is evaluated on Kaggle PCAP with benign traffic and SYN/ICMP floods ...

1 Analytics Department, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India 2 Department of Data Science, School of Computer Science and Engineering ...

The final, formatted version of the article will be published soon. Burnout is a persistent challenge in English as a foreign language (EFL) instruction, which refers to a cognitively complex and ...

College of Informatics, Huazhong Agricultural University, Wuhan, Hubei 430070, China ...

A deep learning pipeline for skin lesion classification using ISIC dataset with multiple deep learning cnn algorithms and advanced preprocessing including multithreaded loading, augmentation, and ...

Abstract: Precision agriculture faces persistent challenges, including unpredictable weather, fluctuating carbon emissions, noisy sensor data, and security vulnerabilities, which hinder the ...

The strange anomaly, and the jerk, were caused by a previously unknown geological process, the researchers suspect. Their findings, published Aug. 28 in the journal Geophysical Research Letters, ...