Results 171 to 180 of about 376,317 (337)

Field quantization in inhomogeneous anisotropic dielectrics with spatio-temporal dispersion [PDF]

, 2007
L.G. Suttorp
openalex   +1 more source

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source

Real-Time Non-Uniformity Correction Method for 800 FPS High-Frame-Rate Short-Wave Infrared Images. [PDF]

Sensors (Basel)
Su G, Wang Y, He D.
europepmc   +1 more source

Geometric Phase and Orbital Moment in Quantization Rules for Magnetic Breakdown [PDF]

, 2017
A. Alexandradinata, L. I. Glazman
openalex   +1 more source

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Wick quantization of cotangent bundles over Riemannian manifolds [PDF]

, 2004
I. Gorbunov, Alex Lyakhovich, Alexey Sharapov   +2 more
openalex   +1 more source

Activation‐Integrated and Memory‐Assisted Dynamic‐Latch Quantizer for Variation‐Tolerant and Low‐Energy Neuromorphic Computing

Advanced Intelligent Systems, EarlyView.
A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic computing. Analog‐to‐digital converters (ADCs) remain the dominant area/energy bottleneck in neuromorphic computing (NC) systems.
Jonghyun Ko, Jiseong Im, Ryun‐Han Koo, Sung‐Ho Park, Jong‐Ho Lee   +4 more
wiley   +1 more source

Influence Mechanism of Quantization Error on the Key Parameters of the Whole-Angle Hemisphere Resonator Gyroscope. [PDF]

Micromachines (Basel)
Yan X, Li J, Xiao P, Xia T, Tang X, Pan Y, Yang K, Luo H.   +7 more
europepmc   +1 more source

Interference Alignment With Quantized Grassmannian Feedback in the K-User Constant MIMO Interference Channel [PDF]

, 2015
Mohsen Rezaee, Maxime Guillaud
openalex   +1 more source

A Neuromorphic Simulation Framework for Indium‐Gallium‐Zinc‐Oxide Charge‐Trap Synaptic Transistors: From Device Modeling to System Simulation

Advanced Intelligent Systems, EarlyView.
This work presents a comprehensive framework bridging device fabrication, modeling, and system‐level simulation for an indium‐gallium‐zinc‐oxide (IGZO) charge‐trap synaptic transistor‐based neuromorphic system. By developing a precise SPICE model derived from fabricated IGZO synaptic transistors, the study incorporates parasitic RC loads into array ...
Yumin Yun, Junhyeong Park, Sunyeol Bae, Chae‐Hwan Park, Dong Hyeon Lee, Soo‐Yeon Lee   +5 more
wiley   +1 more source