Video games are a versatile and multi-faceted stimulus which can elicit complex player experiences. As a consequence, several datasets have been curated or created for studying human cognition, behaviours, and physiological responses where video game... read more
Accurate rainfall forecasting is vital for managing water resources, preventing floods, supporting agricultural activities, and enhancing disaster preparedness. Traditional forecasting methods, such as linear regression, autoregressive models, and ti... read more
American journal of clinical pathology
Jul 30, 2025
OBJECTIVE: Cytologic examination, which confirms the presence or absence of malignant cells, detects malignant cells from various organs, with adenocarcinoma as the most common histologic type. We developed a deep learning model to detect malignant c... read more
Idiopathic REM sleep behavior disorder (iRBD) is a strong predictor of neurodegenerative diseases like Parkinson's disease (PD). Early detection of motor impairments such as bradykinesia is critical for identifying at-risk populations. This study ana... read more
Accurate air quality forecasting is critical for human health and sustainable atmospheric management. To address this challenge, we propose a novel hybrid deep learning model that combines cutting-edge techniques, including CNNs, BiLSTM, attention me... read more
Detecting, analyzing, and predicting power outages is crucial for grid risk
assessment and disaster mitigation. Numerous outages occur each year,
exacerbated by extreme weather events such as hurricanes. Existing outage data
are typically reported ... read more
The widespread dissemination of misinformation and the diverse public sentiment observed during the COVID-19 pandemic highlight the necessity for accurate sentiment analysis of social media discourse. This study proposes a hybrid deep learning (DL) m... read more
We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukocyte antigens (HLAII) on the surface of antigen presenting cells. HLAIIPred is trained using a Transformer-based neural network and a dataset comprisin... read more
During human in-vitro culture, morphological microscope analysis is routinely used to select embryos with the highest implantation potential for transfer, aiming for successful pregnancy and healthy live birth. This evaluation includes blastomere num... read more
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