Results 171 to 180 of about 29,413 (220)

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

Advanced Intelligent Systems, EarlyView.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi, Teng Zhang, Yuqi Li, Yaoyu Tao, Bonan Yan, Yuchao Yang   +5 more
wiley   +1 more source

Enhancement of Intraoperative Transcranial Motor-evoked Potential Derivation with the Use of a Fibular Head Reference Electrode Placement Method in Spine Surgery. [PDF]

Neurol Med Chir (Tokyo)
Abe T, Nishimura Y, Nagashima Y, Sunohara Y, Terao K, Saito R.   +5 more
europepmc   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov   +14 more
wiley   +1 more source

Artificial Intelligence-Enabled Electrocardiography for Prediction of Sudden Cardiac Death and Malignant Ventricular Arrhythmias: A Scoping Review. [PDF]

J Cardiovasc Dev Dis
Mrak Z, Naji FH, Dinevski D.
europepmc   +1 more source

Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition

Advanced Intelligent Systems, EarlyView.
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki, Shusuke Yamakoshi, Reitaro Yoshida, Yutaka Isoda, Tamami Takano, Yuji Isano, Yusuke Miyake, Kentaro Kuribayashi, Hiroki Ota   +8 more
wiley   +1 more source

Tuberculosis Screening from Cough Audio: Baseline Models, Clinical Variables, and Uncertainty Quantification. [PDF]

Sensors (Basel)
Kafentzis GP, Selisios E.
europepmc   +1 more source

Dielectric Elastomer Actuators as Safe and Effective Tools for Mechanostimulation of Human Cells

Advanced Intelligent Systems, EarlyView.
Replicating physiological forces is crucial for realistic cell models. Dielectric elastomer actuators (DEAs) offer a soft alternative, though their high voltages raised toxicity concerns. We demonstrate that DEA stimulation causes no cell damage, cell death or cell‐cycle disruption, while activating mechanosensitive responses.
Simon Holzer, Chaimae Bahou, Noe Syfrig, Katia Monastyrskaya, Yoan Civet, Ali Hashemi Gheinani, Yves Perriard   +6 more
wiley   +1 more source

Partially melted low velocity zones reveal an active upper mantle beneath Elysium Planitia, Mars. [PDF]

Nat Commun
Dai M, Sun D, Zhao C, Mao Z, Sun N, Bi H.   +5 more
europepmc   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

A Secure and Efficient Framework for ECG Signal Digitization and Encryption for Internet of Medical Things Applications. [PDF]

Healthc Technol Lett
Mahmoud N, Shaban SS.
europepmc   +1 more source