Results 111 to 120 of about 142,859 (250)
Enhancement of Virtual Assistants Through Multimodal AI for Emotion Recognition
Emotion recognition is becoming increasingly critical for enhancing human-computer interactions, as emotions play a vital role in shaping human interactions and overall well-being.
Shaun George Rajesh +3 more
doaj +1 more source
Bona Fide Intersegmental Plane Hepatectomy Along the Glissonean Branches (BIPHG)
ABSTRACT This review traces the author's personal journey over three decades in the evolution of liver resection techniques, culminating in the proposal of the Bona Fide Intersegmental Plane Hepatectomy Along Glissonean Branches (BIPHG). Beginning with pioneering experiences in laparoscopic and robotic liver surgeries, the author highlights key ...
Go Wakabayashi, Taiga Wakabayashi
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun +6 more
wiley +1 more source
Objective To explore the mediating effect of facial emotion recognition on prosocial behavior of medical students in mask-obscured scenes. Methods Fifty-three medical students from a medical university in Chongqing were enrolled from July to September ...
ZHANG Zhenming +2 more
doaj +1 more source
Measuring emotions non-intrusively via affective computing provides a promising source of information for adaptive learning and intelligent tutoring systems.
Hirt Franziska +3 more
doaj +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova +4 more
wiley +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source

