Results 21 to 30 of about 1,405,222 (160)

AIS-optimized second-generation CRONE control for a hybrid excitation synchronous generator in wind energy conversion systems: simulation and experimental validation

Scientific Reports
This paper develops and validates an artificial-immune-system-optimized second-generation CRONE controller for speed regulation of a hybrid excitation synchronous generator (HESG) integrated in a wind energy conversion system.
Rihab Issaoui, Amina Mseddi, Imed Bouzida, Omar Naifar   +3 more
doaj   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Stochastic approximation versus sample average approximation for Wasserstein barycenters

, 2021
In the machine learning and optimization community, there are two main approaches for the convex risk minimization problem, namely the Stochastic Approximation (SA) and the Sample Average Approximation (SAA).
Dvinskikh, Darina, Darina Dvinskikh
core   +1 more source

The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells

Advanced Science, EarlyView.
Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato, Jesús A. Andrés‐San Román, Juan Garrido‐García, Carmen Gordillo‐Vázquez, Ana M. Palacios, Elisabeth Lidueña‐Fernández, Katie McDole, Pedro Gómez‐Gálvez, Valentina Annese, Luis M. Escudero   +9 more
wiley   +1 more source

Depth‐to‐Areal Staging Heterogeneity Preceding Lithium Plating in Graphite Anodes Revealed by Operando Imaging

Advanced Science, EarlyView.
Fast charging drives graphite anodes far from equilibrium, yet where lithium plating begins has remained hidden. Operando optical microscopy here reveals that neighboring regions advance through the staging sequence asynchronously, and that domains reaching advanced lithiation earliest become the preferential sites where plating initiates.
Tae Young Choi, Juyoung Kim, Vithiya Muralidharan, Seungwoo Choi, Jeongwoo Seo, Seungwoo Ryu, Myeongjun Choi, Hyun‐Wook Lee   +7 more
wiley   +1 more source

Exact BER Calculation of Asynchronous DS-CDMA Systems Communicating over Hoyt Channels [PDF]

, 2006
An asynchronous binary DS-CDMA system using random spreading sequences is considered in flat Hoyt fading channels. A new closed-form expression is derived for the conditional characteristic function of the multiple access interference.
Liu, X., Hanzo, L., Lajos Hanzo, Xiang Liu   +3 more
core   +2 more sources

Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors

Advanced Science, EarlyView.
Graphical illustration of reconfigurable field effect transistor (RFET) operation modes, including n‐type, p‐type, and ambipolar transport, as well as their areas of application discussed in this review: digital circuit design, analog circuit design, post‐Shannon computing, and sensing. ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are
Jens Trommer, Juan P. Martinez, Yuxuan He, Giulio Galderisi, Katrin Pingen, Eduardo Sergio Oliveros‐Mata, Lisa Tellis, Cigdem Cakirlar, Christoph Beyer, Brojogopal Sapui, Joachim Knoch, Klaus Hofmann, Sandro Carrara, Eugenio Cantatore, Max C. Lemme, Ian O'Connor, Akash Kumar, Andre Heinzig, Thomas Mikolajick, Walter M. Weber   +19 more
wiley   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

A Compact and Fast Single‐Spike TTFS Encoder With Ultralow Operating Voltage for Efficient Neuromorphic Fourier Transform

Advanced Science, EarlyView.
A Pt/TaOx/V single‐spike TTFS encoder achieves ultralow‐voltage (∼0.35 V), high‐speed (∼100 ns) operation with simplified circuitry. Integrating bipolar nonuniform temporal encoding with a spiking‐DFT neuron model enables a neuromorphic FFT framework. Device‐calibrated simulations demonstrate high spectral fidelity across multitone, speech, and chirp ...
Yang Wu, Qi Wei, Junfeng Zhang, Lirou Su, Ning Mao, Beibei Huang, Jiaying Chen, Dian Huang, Shengzhong Feng, Yishu Zhang, Shuai Zhong   +10 more
wiley   +1 more source

Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning

, 2018
Asynchronous stochastic approximations (SAs) are an important class of model-free algorithms, tools and techniques that are popular in multi-agent and distributed control scenarios. To counter Bellman's curse of dimensionality, such algorithms are coupled with function approximations.
Ramaswamy, Arunselvan, Bhatnagar, Shalabh, Quevedo, Daniel E.   +2 more
openaire   +2 more sources