Results 171 to 180 of about 2,420,336 (400)

Artificial neural networks on graded vector spaces [PDF]

arXiv
We develop new artificial neural network models for graded vector spaces, which are suitable when different features in the data have different significance (weights). This is the first time that such models are designed mathematically and they are expected to perform better than neural networks over usual vector spaces, which are the special case when
arxiv  

Tunable Tactile Synapses Enabled by Erasable Doping in Iongel‐Gated Nanotube Network Transistors

Advanced Functional Materials, EarlyView.
Artificial tactile synaptic sensors are realized by an iongel‐gated single‐walled carbon nanotube (SWCNT) transistor with reversible doping characteristics. The device senses and memorizes tactile stimuli and exhibits gate bias‐dependent excitatory or inhibitory synaptic behavior.
Yan Huang, Yaoqiang Zhou, Sonja Wieland, Yachen Li, Ni Zhao, Jana Zaumseil   +5 more
wiley   +1 more source

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

Advanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi, Munevver Akdeniz, Awel Olsido Ahmed, Mine Altunbek, Omer Aydin   +4 more
wiley   +1 more source

Synthesis of artificial neural networks by transconductors only [PDF]

, 1991
MehmetAli Tan
openalex   +1 more source

Carbon Nanotube 3D Integrated Circuits: From Design to Applications

Advanced Functional Materials, EarlyView.
As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu, Yun Sun, Dong‐Ming Sun, Hui‐Ming Cheng   +3 more
wiley   +1 more source

Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging

Advanced Functional Materials, EarlyView.
A thermally stable organic memristor based on a thiadiazolobenzotriazole (TBZ) and 2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione (DPP)‐based conjugated polymer is presented, demonstrating reliable, gradual resistance switching across a wide temperature range (153–573 K).
Ziyu Lv, Ming‐Hao Jiang, Hui‐Ying Liu, Qing‐Xiu Li, Tao Xie, Jingya Yang, Yan Wang, Yongbiao Zhai, Guanglong Ding, Shirui Zhu, Jia‐Hua Li, Miao Zhang, Ye Zhou, Bobo Tian, Wai‐Yeung Wong, Su‐Ting Han   +15 more
wiley   +1 more source

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

Advanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly, Vasileios Sergis, Laura Ventura i Blanco, Karl Mason, Andrew C. Daly   +4 more
wiley   +1 more source

Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics [PDF]

arXiv
Neural networks have been employed for a wide range of processing applications like image processing, motor control, object detection and many others. Living neural networks offer advantages of lower power consumption, faster processing, and biological realism.
arxiv  

State-of-the-art in artificial neural network applications: A survey

Heliyon, 2018
Oludare Isaac Abiodun, A. Jantan, Abiodun Esther Omolara, Kemi Victoria Dada, Nachaat Mohamed, Humaira Arshad   +5 more
semanticscholar   +1 more source

Biodegradable, Humidity‐Insensitive Mask‐Integrated E‐Nose for Sustainable and Non‐Invasive Continuous Breath Analysis

Advanced Functional Materials, EarlyView.
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal, Adan Zoabi, Hossam Haick   +2 more
wiley   +1 more source