Results 191 to 200 of about 5,074,594 (286)

Soft, Multi‐Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification

Advanced Science, EarlyView.
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi, Lanlan Mi, Jiarong Chen, Biao Liu, Min Wang, Zisheng Dai, Bin Liu, Ruize Gao, Yunfeng Lin, Weiwei Guo, Guoxing Wang, Wenyi Luo, Cheng Chen   +12 more
wiley   +1 more source

Intelligent tool wear monitoring using XGBoost, SVR, and DNN models in NMQL environment. [PDF]

Sci Rep
Almomani O, Venkatesh B, Chaudhary SP, Mishra A, Sujai S, Juneja S, Pradhan P, Venkatesan SP, Bhowmik A, Tamene Y.   +9 more
europepmc   +1 more source

Bending‐Stable Pressure Sensor Based on Natural Wood Nanofibers for Ultra‐Low Detection Limit

Advanced Science, EarlyView.
A wood nanofiber‐based flexible pressure sensor with intrinsic bending‐stable performance is developed through a porous electrospun architecture and interdigital electrode design. The device exhibits an ultra‐low detection limit and stable operation under deformation for physiological monitoring and spatial sensing, providing a sustainable strategy for
Xu Zeng, Zhengnan Sun, Yilin Wang, Yao Tan, Ranran Xu, Beomjoon Kim, Juergen Brugger, Xiaosheng Zhang   +7 more
wiley   +1 more source

Abrasivity behavior analysis and fuzzy stochastic prediction of weakly cemented sandstones using an improved RBF neural network for quantifying uncertainties. [PDF]

PLoS One
Yao Y, Lin J, Li X, Li Y.
europepmc   +1 more source

Dimple‐Encoded Reprogrammable Origami

Advanced Science, EarlyView.
Local snap‐through of bistable dimples turns flat elastic sheets into reprogrammable origami structures. Interaction‐guided dimple arrays act as angle‐programmable hinge bands, enabling one sheet to morph into distinct polygonal and three‐dimensional configurations while retaining stable shapes for deployable and protective functions.
Qun Zhang, Weicheng Huang, Amir Hajiyavand, Hyunyoung Kim, Claire Dancer, Karl Dearn, Mingchao Liu   +6 more
wiley   +1 more source

Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling. [PDF]

Sci Rep
Nguyen HP, Nguyen DT, Kim JM.
europepmc   +1 more source

Differential Tissue‐Coupled Powering for Battery‐Free Injectable Electroceuticals

Advanced Science, EarlyView.
A thread‐like injectable neural stimulator is powered through differential tissue‐coupled powering (DTCP), which harvests RF‐frequency tissue potentials with an elongated receiver while preserving a injectable cross‐section. The system integrates an ASIC, stimulation electrodes, and a portable transmitter, enabling wireless peripheral nerve stimulation,
Han Wu, Sultan Mahmud, Mali Halac, Asif Iftekhar Omi, Domenica Sofia Baez Rodas, Jeremiasz Dados, Chaojun Cheng, Anyu Jiang, Cameron Wallace, Anvi Singh, Erin Patrick, Baibhab Chatterjee, Shriya Srinivasan, Adam Khalifa   +13 more
wiley   +1 more source

Multi-Objective Optimization of Milling Process Parameters Using MOWOA and Comprehensive Performance Evaluation via AHP-TOPSIS. [PDF]

Sensors (Basel)
Cai F, Xia R.
europepmc   +1 more source

EndoTac: An Endoscopic Camera‐Based Tactile Sensor with High Sensitivity for Minimally Invasive Surgery

Advanced Science, EarlyView.
EndoTac presents a trocar‐compatible endoscopic vision‐based tactile sensor that uses a convex mirror to enlarge side‐facing tactile coverage during minimally invasive vessel palpation. Distorted tactile images are unwarped and processed by a learning model to estimate vascular deformation, enabling sensitive, spatially distributed tactile perception ...
Yupeng Wang, Nicolas Raison, Xuyang Zhang, Aijia Yang, Lukas Lindenroth, Shan Luo   +5 more
wiley   +1 more source

Cross-Condition Tool Wear State Monitoring via Multi-Source Sensor Signal Fusion and Supervised Transfer Learning. [PDF]

Sensors (Basel)
Huang Y, Lu X, Zhang D.
europepmc   +1 more source