[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
[HTML][HTML] Multi-modality approaches for medical support systems: A systematic review of the last decade
Healthcare traditionally relies on single-modality approaches, which limit the information
available for medical decisions. However, advancements in technology and the availability …
available for medical decisions. However, advancements in technology and the availability …
[HTML][HTML] Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals
SK Khare, UR Acharya - Knowledge-Based Systems, 2023 - Elsevier
Background: Alzheimer's disease (AZD) is a degenerative neurological condition that
causes dementia and leads the brain to atrophy. Although AZD cannot be cured, early …
causes dementia and leads the brain to atrophy. Although AZD cannot be cured, early …
[HTML][HTML] EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population
Background Epilepsy is one of the most common neurological conditions globally, and the
fourth most common in the United States. Recurrent non-provoked seizures characterize it …
fourth most common in the United States. Recurrent non-provoked seizures characterize it …
[HTML][HTML] Deep neural network technique for automated detection of ADHD and CD using ECG signal
Abstract Background and objective Attention Deficit Hyperactivity problem (ADHD) is a
common neurodevelopment problem in children and adolescents that can lead to long-term …
common neurodevelopment problem in children and adolescents that can lead to long-term …
[HTML][HTML] A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions
Technology application in healthcare is a recent field devoted to sustainability in the
healthcare industry. However, research in this sector has grown at a rapid pace. While this …
healthcare industry. However, research in this sector has grown at a rapid pace. While this …
Artificial Intelligence for enhancing Special Education for K-12: A decade of trends, themes, and global insights (2013–2023)
This paper provided a review of 210 studies on AI-enhanced special education from 2013 to
2023. Through bibliometric analysis, this review aimed to explore trends, focus areas …
2023. Through bibliometric analysis, this review aimed to explore trends, focus areas …
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection
SK Khare, V Blanes‐Vidal, BB Booth… - … : Data Mining and …, 2024 - Wiley Online Library
Early diagnosis of abnormal cervical cells enhances the chance of prompt treatment for
cervical cancer (CrC). Artificial intelligence (AI)‐assisted decision support systems for …
cervical cancer (CrC). Artificial intelligence (AI)‐assisted decision support systems for …
Recent Advances of Biosensors for Detection of Multiple Antibiotics
N Lu, J Chen, Z Rao, B Guo, Y Xu - Biosensors, 2023 - mdpi.com
The abuse of antibiotics has caused a serious threat to human life and health. It is urgent to
develop sensors that can detect multiple antibiotics quickly and efficiently. Biosensors are …
develop sensors that can detect multiple antibiotics quickly and efficiently. Biosensors are …
[HTML][HTML] Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning
Background and objective Drowsiness behind the wheel is a major road safety issue with
efforts focused on developing drowsy driving detection systems. However, most drowsy …
efforts focused on developing drowsy driving detection systems. However, most drowsy …