Results 261 to 270 of about 1,429,068 (340)

An Ultrathin Optoelectronic Memristor with Dual‐Functional Photodetector and Optical Synapse Behaviors for Neuromorphic Vision

Advanced Electronic Materials, EarlyView.
An optoelectronic memristor based on an ultrathin periodic heterostructure is proposed. The unique structure enables the integration of multiple functionalities, including those of a photodetector, electric synapse, and optical synapse. This work provides a framework to design ultrathin, multifunctional, and energy‐efficient neuromorphic chips for ...
Lilan Zou, Junru An, Haonan Xu, Guizhen Wang, Shiwei Lin   +4 more
wiley   +1 more source

Decalcify cardiac CT: unveiling clearer images with deep convolutional neural networks. [PDF]

Front Med (Lausanne)
Nagarajan G, Rajasekaran A, Nagarajan B, Kaliappan VK, Yahya A, Samikannu R, Badruddin IA, Kamangar S, Hussien M.   +8 more
europepmc   +1 more source

Deep-Plant: Plant Identification with convolutional neural networks

, 2015
Sue Han Lee, Chee Seng Chan, Paul Wilkin, Paolo Remagnino   +3 more
openalex   +2 more sources

Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices

Advanced Electronic Materials, EarlyView.
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu, Lifang Hu, RuoXuan Zhao, ZhiYong Hou, JinYu Tian   +4 more
wiley   +1 more source

Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning. [PDF]

Sci Rep
Agyekum EA, Yuzhi Z, Fang Y, Agyekum DN, Wang X, Issaka E, Li C, Shen X, Qian X, Wu X.   +9 more
europepmc   +1 more source

Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks

Advanced Electronic Materials, EarlyView.
Spintronic memtransistor neurons based on domain walls enable energy‐efficient, field‐gated, and current‐controlled LIF functionality for neuromorphic computing, as demonstrated. When integrated into spiking neural network architectures, these devices achieve >96% pattern recognition accuracy, demonstrating high performance, scalability, and mem ...
Aijaz H. Lone, Meng Tang, Daniel N. Rahimi, Xuecui Zou, Dongxing Zheng, Hossein Fariborzi, Xixiang Zhang, Gianluca Setti   +7 more
wiley   +1 more source

Optimizing skin cancer screening with convolutional neural networks in smart healthcare systems. [PDF]

PLoS One
Raza A, Ali A, Ullah S, Anjum YN, Rehman B.   +4 more
europepmc   +1 more source

Aerial Scene Labeling Based on Convolutional Neural Networks

, 2015
Jong-Pil Na, Seung-Jun Hwang, Seung-Je Park, Joong-Hwan Baek   +3 more
openalex   +2 more sources

State‐of‐the‐Art Machine Learning Technology for Sustainable Lithium Battery Cathode Design: A Perspective

Advanced Energy Materials, EarlyView.
Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem, Leon L. Shaw, Zhiqian Chen, Wei Lai   +3 more
wiley   +1 more source

Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the "Torch for R" Ecosystem. [PDF]

Ecol Evol
Clink DJ, Kim J, Cross-Jaya H, Ahmad AH, Hong M, Sala R, Birot H, Agger C, Vu TT, Thi HN, Chi TN, Klinck H.   +11 more
europepmc   +1 more source