SinoXivAutomated pain monitoring devices are critical for effective patient care, particularly for non-communicative individuals in intensive care and post-operative settings. This paper presents the develop...
Skeleton-based action recognition has wide applications, but its performance degrades significantly with subtle action variations. This deficiency primarily arises because existing methods overemphasi...
Background Ludwig’s angina is a life-threatening cellulitis that can easily progress to airway compromise. Significant infection, often from periodontal abscesses of the molar teeth, may cause superio...
EEG signals face challenges such as a scarcity of training data, significant individual variability, and difficulties in designing neural network architectures, which severely limit the performance an...
The article discusses about the reading difficulties observed and experienced by mainstream school teachers and special educators in an inclusive setup. For this purpose, responses were taken from mai...
Purpose:Human activity recognition is essential for supporting independent living. Although image-based approaches have achieved significant progress, they raise privacy concerns, and require adequate...
The transition from effortful to automatic processing is a defining feature of skill acquisition, and converging evidence implicates theta-gamma phase-amplitude coupling as the neural signature of thi...
Sign language is characterized as natural visual-gestural language with autonomous linguistic structures, varied orthographic influences, and legal status. Despite the recent advancements in deep lear...
Background: First-episode psychosis (FEP) is a critical stage in psychotic disorders, in terms of clinical and functional outcome. Deficits in facial emotion recognition and impaired clinical insight ...
Traditional modulation recognition struggles with multi-signal coexistence and low signal-to-noise ratios. This paper proposes an integrated framework for wideband signal detection, recognition, and p...
