AIMC Topic: Humans

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CS-Net: convolutional spider neural network for surface-EMG-based hybrid gesture recognition.

Journal of neural engineering
In this paper, we propose a novel neural network architecture, the convolutional spider neural network (CS-Net), combined with a transfer learning (TL) strategy, to classify hybrid gestures that integrate wrist postures and hand movements.The CS-Net ...

Nine quick tips for trustworthy machine learning in the biomedical sciences.

PLoS computational biology
As machine learning (ML) becomes increasingly central to biomedical research, the need for trustworthy models is more pressing than ever. In this paper, we present nine concise and actionable tips to help researchers build ML systems that are technic...

Enhanced audience sentiment analysis in IoT-integrated metaverse media communication.

PloS one
The convergence of Metaverse technologies, Internet of Things (IoT), and consumer electronics has given rise to an imperative need for scalable, real-time sentiment analysis that can process heterogeneous, high-velocity media flows. The traditional a...

Artificial intelligence (AI)-Enabled behavioral health application for college students: Pilot study protocol.

PloS one
Given the prevalence of depression among young adults, particularly those aged 18-25, this study aims to address a critical need in higher education institutions for proactive, private, automated mental health self-awareness. This study protocol outl...

GCACL-Rec: A study on conversational recommendation via global context-aware and multi-view contrastive adversarial joint learning.

PloS one
Session-based recommendation (SBR) aims to provide personalized recommendations based on anonymous user click sequences. Although existing methods have achieved notable progress, most focus solely on user preferences within a single session, overlook...

Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach.

PloS one
INTRODUCTION: Hypertension is a leading contributor to maternal and cardiometabolic morbidity in Bangladesh. We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the go...

Machine learning-driven risk stratification for distant metastasis in gastric cancer: A comparative study of clinical features and composite indices integrated models.

PloS one
OBJECTIVE: Distant metastasis (DM) of gastric cancer (GC) represents a significant health challenge due to its high mortality rates, necessitating advancements in early detection and management strategies. The objective of this study was to create a ...

Artificial intelligence for arterial blood gas interpretation.

Clinica chimica acta; international journal of clinical chemistry
Arterial blood gas (ABG) analysis is a fundamental diagnostic tool in clinical medicine, offering critical insights into a patient's respiratory and metabolic status. However, interpreting ABG results can be complex and time-sensitive, necessitating ...

Hybrid plant-dairy cheese: Effects of lactic acid bacteria and plant proteins on composition, proteolysis, and flavor profile.

Food chemistry
In the search to improve the sustainability of the food supply chain, the market for plant-based cheese analogs is growing. However, sensory defects, particularly related to flavor, remain a challenge. Here we developed a hybrid plant-dairy cheese th...

Octacosanol: Biological activities and bioavailability enhancement strategies.

Food chemistry
Octacosanol (C₂₈H₅₈O) is a natural long-chain fatty alcohol that has attracted increasing attention in recent years due to its multiple biological activities, including anti-fatigue, anti-inflammatory, hypolipidemic, and antioxidant effects. However,...