Results 161 to 170 of about 390,241 (222)

Skin cancer detection using dermoscopic images with convolutional neural network. [PDF]

Sci Rep
Nawaz K, Zanib A, Shabir I, Li J, Wang Y, Mahmood T, Rehman A.   +6 more
europepmc   +1 more source

Graph‐Based Representation Approach for Deep Learning of Organic Light‐Emitting Diode Devices

Advanced Intelligent Systems, EarlyView.
In this study, a novel graph‐based representation methodology is proposed to effectively address current challenges in description. An ideal approach to representing the device parameters in the static equilibrium state is suggested. In the trained predictive model, superior accuracy is demonstrated, making it a reliable tool for representing organic ...
Taeyang Lee, Jeongwhan Choi, Inyeob Na, Insun Yoo, Sungil Woo, Kwang Jong Kim, Mikyung Park, Joonghwan Yang, Jeongguk Min, Seokwoo Lee, Noseong Park, Joonyoung Yang   +11 more
wiley   +1 more source

Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network. [PDF]

Sci Rep
Yin G, Yuan J, Chen Y, Guo G, Shi D, Wang L, Zhao Z, Zhao Y, Zhang M, Dong Y, Wang B, Tan S.   +11 more
europepmc   +1 more source

Ultrasensitive Ultrasoft Buckled Crack‐Based Sensor for Respiration Measurement and Enhanced Human–Machine Interface

Advanced Intelligent Systems, EarlyView.
The Buckled, Ultrasoft, Crack‐based, Large strain, EpiDermal (BUCKLED) sensor is a flexible, ultrasensitive wearable strain sensor designed to precisely measure subtle skin deformations. By utilizing a buckled structure to enhance compliance integrating crack‐based sensing mechanisms, it improves accuracy in applications like respiratory monitoring ...
Jingoo Lee, Taewi Kim, Hyeongseok Kim, Sunghoon Im, Jieun Park, Inyong Park, Dae Hoon Park, Bangwoo Han, Daeshik Kang, Gunhee Lee   +9 more
wiley   +1 more source

A Sliding-Kernel Computation-In-Memory Architecture for Convolutional Neural Network. [PDF]

Adv Sci (Weinh)
Hu Y, Xie X, Lei T, Shi R, Wong M.
europepmc   +1 more source

Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces

Advanced Intelligent Systems, EarlyView.
This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun, Xin Li, Yiming Wu, Qilin Gu, Shiyou Zheng   +4 more
wiley   +1 more source

Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition. [PDF]

Sci Rep
Yan F, Guo Z, Iliyasu AM, Hirota K.
europepmc   +1 more source

π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis

Advanced Intelligent Systems, EarlyView.
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li, Qinxue Ouyang, Mingfei Han, Xiaoqing Liu, Fuchu He, Yunping Zhu, Ling Leng, Jie Ma   +7 more
wiley   +1 more source

Deep convolutional neural network architecture for facial emotion recognition. [PDF]

PeerJ Comput Sci
Pruthviraja D, Mohan Kumar U, Parameswaran S, Guna Chowdary V, Bharadwaj V.   +4 more
europepmc   +1 more source

A Motion‐Sensing Integrated Soft Robot with Triboelectric Nanogenerator for Pipeline Inspection

Advanced Intelligent Systems, EarlyView.
A soft robot integrated with triboelectric nanogenerator‐based tactile sensors is proposed to achieve locomotion within pipelines and exteroception of different materials and structures of pipeline inner surfaces. By introducing a 1D‐convolutional neural network algorithm, the soft robot's accuracy in recognizing eight different pipe inner surface ...
Rui Chen, Huigang Wang, Haoji Wang, Huijiang Wang, Li Bai, Xinpei Ai, Lifu Liu, Zhihao Hu, Zean Yuan   +8 more
wiley   +1 more source