Results 41 to 50 of about 49,842 (269)
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
FILTRATION MODELING USING ARTIFICIAL NEURAL NETWORK (ANN)
Journal of Engineering, 2011 In this research Artificial Neural Network (ANN) technique was applied to study the filtration process in water treatment. Eight models have been developed and tested using data from a pilot filtration plant, working under different process design ...
Awatif Soaded Alsaqqar
doaj +1 more source
Applied Sciences, 2020 The first step in identifying fruits on trees is to develop garden robots for different purposes such as fruit harvesting and spatial specific spraying.
Sajad Sabzi +3 more
doaj +1 more source
Optoelectronic Nanofluidic Neural Networks for Ionic Computing
Advanced Materials, EarlyView.An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang +10 more
wiley +1 more source
Artificial neural network model with the parameter tuning assisted by a differential evolution technique: the study of the hold up of the slurry flow in a pipeline [PDF]
Chemical Industry and Chemical Engineering Quarterly, 2009 This paper describes a robust hybrid artificial neural network (ANN) methodology which can offer a superior performance for the important process engineering problems.
S. K. Lahiri, K. C. Ghanta
doaj
Theoretical and Applied Mechanics Letters, 2020 The subgrid-scale (SGS) stress and SGS heat flux are modeled by using an artificial neural network (ANN) for large eddy simulation (LES) of compressible turbulence. The input features of ANN model are based on the first-order and second-order derivatives
Chenyue Xie +4 more
doaj +1 more source
Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications
Advanced Materials Technologies, EarlyView.A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley +1 more source
Information Processing in Agriculture, 2018 Accurate classification of fruit varieties in processing factories and during post-harvesting applications is a challenge that has been widely studied.
Sajad Sabzi +2 more
doaj +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
A new approach to building artificial neural networks and medicine
Annals of Mechnikov's Institute, 2021 Numerous attempts to use neural networks in medicine remain unsuccessful to this day because of an old mistake in the development of neural networks.
Boris Zlotin +8 more
doaj