IEEE

Anomaly Detection Using Data-Driven Sparse Sensors: Combination of Modal Representation and Sensor Optimization for Sensing of Targeted Variable

Abstract: We propose an anomaly detection method based on modal representation and a noise-robust sparse sensor position optimization method. We focus on the detection of anomalies in global sea ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
IEEE

Adaptive Network Intrusion Detection Using Fine-Tuned Random Forest with PCA

Abstract: In the dynamic realm of network security, intrusion detection systems (IDS) must evolve to accurately detect both established and novel threats. This research presents an adaptive intrusion ...
USA Today

Sabrina Carpenter slams White House for using her song in 'evil' video

After the White House used a Sabrina Carpenter song without her permission, the pop star is keeping her response short and sweet. The "Espresso" singer, 26, took to X to slam the White House for using ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...