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State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence.

, , , , , , and . Cogn. Comput., 16 (2): 455-481 (March 2024)

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Neural tissue and brain interfacing CMOS devices - An introduction to state-of-the-art, current and future challenges., , , , , , , , and . ISCAS, page 1826-1829. IEEE, (2016)Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis., , and . BI, volume 12241 of Lecture Notes in Computer Science, page 183-193. Springer, (2020)A Consensus Novelty Detection Ensemble Approach for Anomaly Detection in Activities of Daily Living., , and . Appl. Soft Comput., (2019)A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data., , , , , , , and . IEEE Access, (2023)iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings., , , , , , , , , and 5 other author(s). IEEE Access, (2021)Towards a data-driven adaptive anomaly detection system for human activity., , and . Pattern Recognit. Lett., (2021)Deep Learning in Mining Biological Data., , and . CoRR, (2020)A Non-Blind Watermarking Scheme for Gray Scale Images in Discrete Wavelet Transform Domain using Two Subbands, , , , and . CoRR, (2012)An event based topic learning pipeline for neuroimaging literature mining., , , , , and . Brain Informatics, 7 (1): 18 (2020)Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning., , , , , , , , , and 7 other author(s). Brain Informatics, 10 (1): 14 (December 2023)