Results 81 to 90 of about 86,374 (257)

Early Driver Fatigue Detection System: A Cost-Effective and Wearable Approach Utilizing Embedded Machine Learning

Vehicles
Driving fatigue is the cause of many traffic accidents and poses a serious threat to road safety. To address this issue, this paper aims to develop a system for the early detection of driver fatigue.
Chengyou Lin, Xinying Zhu, Renpeng Wang, Wei Zhou, Na Li, Yu Xie   +5 more
doaj   +1 more source

Embedded feature selection for robust probability learning machines

Pattern Recognition
Feature selection is essential for building effective machine learning models in binary classification. Eliminating unnecessary features can reduce the risk of overfitting and improve classification performance. Moreover, the data we handle always has a stochastic component, making it important to have robust models that are insensitive to data ...
Miguel Carrasco, Benjamin Ivorra, Julio López 0001, Angel Manuel Ramos   +3 more
openaire   +2 more sources

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Review of Thermally Activated Twisted Coiled Polymer Actuators: A Materials Science Perspective

Advanced Functional Materials, EarlyView.
Thermally activated twisted and coiled polymer actuators (TCPAs) combine lightweight design, large deformation, and scalable fabrication for soft robotic and wearable applications. This review connects polymer structure, processing history, helix geometry, and thermomechanical characterization to actuator performance, highlighting current challenges in
Nadja Schenk, Lukas Benecke, Chokri Cherif, Johannes Mersch   +3 more
wiley   +1 more source

Toward real-time emotion recognition in fog computing-based systems: leveraging interpretable PCA_CNN, YOLO with self-attention mechanism

Frontiers in Computer Science
Emotion estimation from face expression analysis has been extensively examined in computer science. In contrast, classifying expressions depends on appropriate facial features and their dynamics.
Nora EL Rashidy, Nora EL Rashidy, Eman Allogmani, Esraa Hassan, Khaled Alnowaiser, Hela Elmannai, Zainab H. Ali, Zainab H. Ali   +7 more
doaj   +1 more source

High‐Throughput Digital Decoding of Vascular Heterogeneity in Patient‐Specific Tumor Microenvironments

Advanced Healthcare Materials, EarlyView.
ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee, Wooju Park, Sujin Hyung, Sangmin Jung, Kyungho Lee, Junseok Jeon, Noo Li Jeon, Jeeyun Lee, Hye Ryoun Jang, Jihoon Ko   +9 more
wiley   +1 more source

Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform

Vietnam Journal of Mechanics
This study presents a fault detection model utilizing the Seeed Studio XIAO nRF52840 Sense microcontroller development board to identify and diagnose faults in the conveyor belt system of the MPS-PA Bottling Learning System, a component of the Festo ...
Hoang Duc Do, Quang Minh Vien, Khang Hoang Vinh Nguyen, Can Duy Le   +3 more
doaj   +1 more source

Cascade Adversarial Machine Learning Regularized with a Unified Embedding

CoRR, 2017
Injecting adversarial examples during training, known as adversarial training, can improve robustness against one-step attacks, but not for unknown iterative attacks. To address this challenge, we first show iteratively generated adversarial images easily transfer between networks trained with the same strategy. Inspired by this observation, we propose
Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay   +2 more
openaire   +3 more sources

Engineered AuNPs/fMWCNT Nanocomposite Electrodes for High‐Sensitivity Methylglyoxal Sensing in Saliva and Sweat for Non‐Invasive Diabetes Monitoring

Advanced Healthcare Materials, EarlyView.
An AuNPs/fMWCNT nanocomposite‐modified screen‐printed carbon electrode was engineered via sequential electrodeposition and integrated into a 3D‐printed microfluidic platform for ultrasensitive methylglyoxal detection. The non‐invasive sensing platform enables rapid analysis in saliva and sweat, highlighting strong potential for wearable point‐of‐care ...
Ahadul Amin Soshi, Md Younus Ali, Dadbeh Pazuki, Matiar M.R. Howlader   +3 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source