Results 121 to 130 of about 215,250 (265)

Neuromorphic Photonic Processing and Memory With Spiking Resonant Tunneling Diode Neurons and Neural Networks

Advanced Intelligent Systems, EarlyView.
This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex classification, and a depth‐tunable photonic spiking memory system. Neuromorphic computing—modeled after the functionality and efficiency of biological neural systems—offers ...
Dafydd Owen‐Newns, Joshua Robertson, Giovanni Donati, Qusay Al‐Taai, José Figueiredo, Edward Wasige, Kathy Lüdge, Bruno Romeira, Antonio Hurtado   +8 more
wiley   +1 more source

Distributed Power Allocation for Parallel Broadcast Channels with Only Common Information in Cognitive Tactical Radio Networks

EURASIP Journal on Wireless Communications and Networking, 2010
A tactical radio network is a radio network in which a transmitter broadcasts the same information to its receivers. In this paper, dynamic spectrum management is studied for multiple cognitive tactical radio networks coexisting in the same area. First,
Le Nir Vincent, Scheers Bart
doaj  

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

A Novel Acetylcholine Nanosensor for Single Vesicle Storage and Sub‐Quantal Exocytosis in Living Neurons and Organoids

Angewandte Chemie, EarlyView.
Schematic representation of M@E@CF nanosensors for detecting vesicular storage and release in cholinergic neurons and brain organoids. (A) Nano‐tip microelectrodes modification via molds fabricated through 3D printing. (B) the reaction mechanism for acetylcholine detection at the electrode interface.
Wanying Zhu, Yufan Zhang, Hanwen Yu, Da Wang, Xinyue Zhang, Xiaowen Du, Shanshan Wu, Bingzhi Li, Yizhou Zhang, Hongliang Xin, Xing Guo, Yan Liu   +11 more
wiley   +2 more sources

QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models

Advanced Intelligent Systems, EarlyView.
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel, Ming‐Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan   +5 more
wiley   +1 more source

Routine of Encryption in Cognitive Radio Network

Mehran University Research Journal of Engineering and Technology, 2019
Today data transmission is very important through different channels. Need of network security comes to secure data transformation from one network to another network.
Asif Raza, Muhammad Tanveer Meeran, Muizzud -din   +2 more
doaj  

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

Advanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin, Qian Li, Zhiwei Li, Xukai Zhai, Jinhui Gao   +4 more
wiley   +1 more source

Parents' WhatsApp coping resources in the context of ongoing political conflicts: An ecological exploration

American Journal of Community Psychology, EarlyView.
Abstract Mobile technologies have become significant resources for crisis communication and social support in recent years. However, despite empirical evidence pointing to the centrality of these technologies for parenthood in everyday life, it is yet unknown how parents' coping resources play a role in the digital environment.
Daphna Yeshua‐Katz, Stav Shapira, Orna Braun‐Lewensohn   +2 more
wiley   +1 more source

Application Research of Cognitive Radio Technology in Coal Mine Underground

Gong-kuang zidonghua, 2010
In order to solve the problem of bad reliability of data transmission of wireless communication system of coal mine underground because the system's parameters such as carrier frequency,modulation mode are settled and so it ca't adapted to change of ...
TANG Liang, ZHANG Shen, GAN Ling, DU Ya
doaj