Technical Articles

Technical articles on passive acoustic monitoring, cetacean bioacoustics, ML-powered threat detection, signal processing, and building reliable AI systems for real-world data.

Building an ML Threat Detection Platform: Isolation Forest, One-Class SVM, and Autoencoder Ensemble How three complementary anomaly detection models combine into a production-grade risk aggregation system for network security telemetry.Automated Cetacean Vocalization Detection using Passive Acoustic Monitoring How HMM, multiscale sample entropy, and wavelet features combine to detect Bryde's whale calls in real-world offshore hydrophone recordings.Machine Learning for Signal Processing: Practical Industry Applications How ML helps transform noisy signals into actionable decisions for intelligent engineering systems.Hidden Markov Models for Time-Series Analysis Why HMMs remain useful for modeling temporal dynamics in localization, sensing, and anomaly detection.Building Reliable AI Systems for Noisy Data Core principles for validation, robustness, interpretability, and deployment in real-world engineering environments.