Tin‐Based 2D/3D Perovskite Vertical Heterojunction for High‐Performance Synaptic Phototransistors
Advanced Functional Materials, EarlyView.Phototransistors based on tin‐based 2D/3D perovskite heterostructures show an ultrahigh responsivity and detectivity at a low gate voltage across a broad wavelength region from ultraviolet to near‐infrared. The devices can replicate neuromorphic learning and remembering behaviors to light stimuli, in addition to electric depression and memory erasure ...
Hok‐Leung Loi +10 more
wiley +1 more source
Classification of E-Nose Aroma Data of Four Fruit Types by ABC-Based Neural Network
Sensors, 2016 Electronic nose technology is used in many areas, and frequently in the beverage industry for classification and quality-control purposes. In this study, four different aroma data (strawberry, lemon, cherry, and melon) were obtained using a MOSES II ...
M. Fatih Adak, Nejat Yumusak
doaj +1 more source
An artificial neural network model of human sound localization [PDF]
, 1992 Timothy R. Anderson +2 more
openalex +1 more source
House Price Prediction: Hedonic Price Model vs. Artificial Neural Network [PDF]
The objective of this paper is to empirically compare the predictive power of the hedonic model with an artificial neural network model on house price prediction.
Limsombunchai, Visit
core +1 more source
Energy Efficiency Prediction using Artificial Neural Network [PDF]
, 2019 Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important,
Abu-Naser, Samy S. +4 more
core
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 +5 more
wiley +1 more source
Neural networks for aircraft control [PDF]
Current research in Artificial Neural Networks indicates that networks offer some potential advantages in adaptation and fault tolerance. This research is directed at determining the possible applicability of neural networks to aircraft control.
Linse, Dennis
core +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 +3 more
wiley +1 more source
Prediction of risk factors for linezolid-induced thrombocytopenia based on neural network model
Frontiers in PharmacologyBackground: Based on real-world medical data, the artificial neural network model was used to predict the risk factors of linezolid-induced thrombocytopenia to provide a reference for better clinical use of this drug and achieve the timely prevention of ...
Xian Zhao +9 more
doaj +1 more source
On-line learning processes in artificial neural networks [PDF]
, 1993 Tom Heskes, Bert Kappen
openalex +1 more source