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Showing 5 of 5 academic articles

Low-frequency noise analysis on asymmetric damage and self-recovery behaviors of ZnSnO thin-film transistors under hot carrier stress

Wonjun Shin, Ji Ye Lee, Jangsaeng Kim, Sang Yeol Lee et al. • Discover Nano (2024)

Abstract The need for understanding the low-frequency noise (LFN) of metal oxide semiconductor thin-film transistors (TFTs) is increasing owing to the substantial effects of LFN in various circuit applications. A focal point of inquiry pert...

DOAJ Open Access (DOAJ) DOI: 10.1186/s11671-024-04081-x

Adaptive frequency band attention-guided CNN–BiLSTM for Spatial–Spectral–Temporal EEG emotion recognition

Rabita Hasan, Sheikh Md. Rabiul Islam • Brain Informatics (2026)

Abstract Electroencephalography (EEG)-based emotion recognition has gained increasing attention in affective computing because EEG provides high temporal resolution and reflects intrinsic neural activity. However, reliable emotion recogniti...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40708-026-00319-9

Proposing New Data Whitening Method through Application of LSTM Method for Fault Condition Prediction in Bearing Data

Nasrin Rezaei, Andreas Rehkopf • Advances in Engineering and Intelligence Systems (2026)

In the context of big data, data preprocessing, especially data whitening, plays a pivotal role in improving the effectiveness of AI models. While traditional whitening methods suffer from severe computational bottlenecks, arising from the ...

DOAJ Open Access (DOAJ) DOI: 10.22034/aeis.2026.575941.1510

Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum

J. de Curtò, I. de Zarzà, Juan-Carlos Cano, Carlos T. Calafate • Future Internet (2024)

This paper presents a novel approach to enhancing the security and reliability of drone communications through the integration of Quantum Random Number Generators (QRNG) in Frequency Hopping Spread Spectrum (FHSS) systems. We propose a mult...

DOAJ Open Access (DOAJ) DOI: 10.3390/fi16110412

A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm

Dhanalekshmi Prasad Yedurkar, Shilpa P. Metkar, Fadi Al-Turjman, Thompson Stephan et al. • Sensors (2022)

A novel approach for multichannel epilepsy seizure classification which will help to automatically locate seizure activity present in the focal brain region was proposed. This paper suggested an Internet of Things (IoT) framework based on a...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22239302