Frontiers

AI-Driven Spatiotemporal Data Mining: Novel Architectures for Imputation and Forecasting

Accurate spatiotemporal prediction is fundamentally essential for anticipating and managing the dynamic evolutions within global physical, environmental, ...

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.
IEEE

LoRaWAN-Enabled Predictive Maintenance for Distribution Transformers: A 24-Hour Simulation Study Using Machine Learning

Abstract: The operational health of distribution transformers is critical for ensuring uninterrupted power delivery across smart grid infrastructures. This paper presents a predictive maintenance ...
Frontiers

Machine learning: predicting lymph node metastasis around the entrance point to the recurrent laryngeal nerve in cN0 papillary thyroid carcinoma

We retrospectively reviewed 1,800 patients with cN0-PTC who underwent central lymph node dissection (CLND) with systematic LN-epRLN sampling. Histopathological evaluation confirmed metastatic status.
IEEE

Artificial Intelligence and Machine Learning in Predictive Maintenance of Rotary Machinery: A Systematic Literature Review

The rising complexity of modern mechanical systems has made predictive maintenance (PdM) essential for ensuring reliability, reducing costs, and avoiding unplanned downtime. Conventional time-based ...