Results 211 to 220 of about 103,059 (283)
A Smart Headband for Multimodal Physiological Monitoring in Human Exercises. [PDF]
Liu S +7 more
europepmc +1 more source
A rotational energy harvesting device that successfully reconciles high power density with mechanical durability through a hybrid sliding‐and‐bouncing kinematic mechanism is reported. The success reported in our paper includes addressing a dilemma where enhanced electrical output comes at the cost of increased friction and wear, limiting the practical ...
Yihong Lin +12 more
wiley +1 more source
Hybrid Fennec Fox-Sand Cat optimized cascaded ANFIS MPPT for enhanced control of DFIG-based WECS with grid support. [PDF]
Rajanala P +7 more
europepmc +1 more source
A nano‐plasma device enables watt‐level on‐chip THz generation through picosecond switching triggered by secondary electron emission avalanche. An ultra‐dense electron sheet initiates nano‐plasma formation within a ∼100 nm gap, driving rapid energy release into an integrated resonator.
Guangyu Sun +4 more
wiley +1 more source
Study on the suppression of CT and TR of IRSP PMSWT based on structural improvement and hierarchical collaborative optimization. [PDF]
Wang D, Xing Z, Li W, Xu R, Sun C.
europepmc +1 more source
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar +9 more
wiley +1 more source
An Electrohydrodynamic Phase-Field Model for Contact Angle Hysteresis in Electrowetting Pixels: Decoupling Physical Pinning and Charge Trapping. [PDF]
Lu Q +8 more
europepmc +1 more source
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
A physics-inspired memory-augmented deep learning framework for magnetic core loss prediction. [PDF]
Cong H, Chen S, Yang Y, Luan T, Yang C.
europepmc +1 more source
ABSTRACT The multifunctional integration of chips with high flexibility and scalable manufacturing is crucial for enhancing chip performance, reducing chip size, and simplifying chip design. However, balancing volume, cost, flexibility, and functionality using traditional heterogeneous integration methods is challenging.
Lang Chen +7 more
wiley +1 more source

