...Zhengdi Sun; Anle Mu; Ye Qian; Fuxiang Hao; Yupeng Wang; Wuyang Wang Purpose Cardiovascular diseases require continuous, noninvasive blood pressure ( BP ) monitoring. This study aims to develop a cuffless BP estimation framework using dual acoustic sensors and deep learning. Design...

... and practicality, offering a scalable and resilient solution for hydrological data collection in diverse field environments. Hardware–algorithm co-design for edge intelligence: The system integrates a lightweight deep learning pipeline (ResNet-50 + custom CNN) with optimized image processing routines...

.... However, its accuracy is severely hampered by motion artifacts (MAs), sensor location and subject-specific factors like skin tone and body mass index. While traditional signal processing methods offer partial solutions, deep learning ( DL ) models – particularly convolutional neural network, recurrent...

... Emerald Publishing Limited Licensed re-use rights only Electrical impedance tomography (EIT) Deep learning Identification Tumor location (1) ∇ ⋅ ( σ ∇ φ ) = 0 According to the complete electrode model that considers the impact of contact impedance between the electrode...

... rhle_16@163.com 30 04 2025 20 06 2025 18 08 2025 22 08 2025 24 08 2025 © 2025 Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only MEMS Attitude estimation Deep learning Adaptive attention mechanism Fourier analysis...

... and buzzer). The Raspberry Pi runs a YOLOv9 deep learning model locally on a camera feed for real-time fire detection. A mobile application provides user oversight and manual control. The system’s performance was validated through experimental testing, measuring detection accuracy, response times and IAQ...

... methods to deep learning architectures. Selection followed explicit inclusion criteria (time-/batch-split evaluations, MOX arrays, quantitative outcomes), with emphasis on 2023–2025 studies comparing one- and two-dimensional convolutional neural networks pipelines and recent drift-adaptation methods...

... Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Rolling bearing Fault diagnosis Robustness Deep learning Stochastic configuration network Consistency regularization Adaptive learning Fault classification In 2017, Wang et al. (Wang and Li, 2017b...

... and above) and the elderly, for 14 different walking activities from different directions and magnitudes. Research limitations/implications To automate identification, a hybrid deep learning model based on convolutional neural networks and long short-term memory (CNN-LSTM) is used to predict fall...

... Licensed re-use rights only Vibration measurement Rotating machinery Non-contact sensing Stereo vision Deep learning Anhui Province Higher Education Science Research Project 2023AH050928 2024 Anhui Province Intelligent Robot Information Fusion and Control Engineering Research...

... Limited 2025 Emerald Publishing Limited Licensed re-use rights only ECG MEMS Deep learning PCG Attention mechanisms National Key Research and Development Project 2023YFB3208004 The National Natural Science Foundation of China 62274149 52175553 Cardiovascular...

...Zengkun Liu; Justine Hui Purpose This study aims to introduce an innovative approach to predictive maintenance by integrating time-series sensor data with event logs, leveraging the synergistic potential of deep learning models. The primary goal is to enhance the accuracy of equipment failure...

... objects, optimization of detector and attention mechanism. Virtual reality technology is used for sample enhancement of metal casts, which solves the problem of large-scale sample sampling in industrial application. The method also includes a novel deep learning detector that uses multiple key points...

... to predict the profile velocity, we take the classical double elbow as the research object and propose to divide the flow field into three categories with certain common characteristics. Design/methodology/approach The deep learning method is used to establish the model of multipath linear velocity...

...Siyuan Huang; Limin Liu; Xiongjun Fu; Jian Dong; Fuyu Huang; Ping Lang Purpose The purpose of this paper is to summarize the existing point cloud target detection algorithms based on deep learning, and provide reference for researchers in related fields. In recent years, with its outstanding...

... of vehicle parts (Liu, 2019 ; Showinshu et al., 2015). For the increasing demands on the safety, smoothness and comfort of highway transportation facilities, it is very important to study the smoothness of pavement and classify the pavement grade. Deep learning Sensors Neural networks...

... different objects are pre-processed, and then combined into haptic images. Second, a multi-class and multi-label deep learning model is designed, which can simultaneously learn four haptic features (hardness, thermal conductivity, roughness and texture) from the haptic images, and recognize objects based...