Results 161 to 170 of about 5,510,322 (305)

ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation

Explainability is essential for AI models, especially in clinical settings where understanding the model’s decisions is crucial. Despite their impressive performance, black-box AI models are unsuitable for clinical use if their operations cannot be
Iman Dehzangi, Sayed Mehedi Azim, Vahid Khalkhali   +2 more
core   +1 more source

Tropical Cyclone Intensity Estimation Using Deep Convolutional Neural Networks [PDF]

, 2018
Overview: Deep learning and Convolutional Neural Network (CNN); CNN for Tropical Cyclone Intensity Estimation; Preliminary results; Work in ...
Maskey, Manil, Ramachandran, Rahul, Miller, J. J., Cecil, Dan   +3 more
core  

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

Identification of Crown of Thorns Starfish (COTS) using Convolutional Neural Network (CNN) and attention model. [PDF]

PLoS One, 2023
Heenaye-Mamode Khan M, Makoonlall A, Nazurally N, Mungloo-Dilmohamud Z.   +3 more
europepmc   +1 more source

Food Image Recognition by Using Convolutional Neural Networks (CNNs)

CoRR, 2016
Food image recognition is one of the promising applications of visual object recognition in computer vision. In this study, a small-scale dataset consisting of 5822 images of ten categories and a five-layer CNN was constructed to recognize these images.
openaire   +2 more sources

Triple‐Level Content‐Addressable Vertical NAND Flash Memory

Advanced Science, EarlyView.
Commercial triple‐level‐cell V‐NAND flash memory is transformed into a compact content‐addressable memory by directly exploiting its eight threshold‐voltage states. A parity‐split search scheme preserves storage density while enabling reliable multi‐level and don't‐care matching. Parallel word‐line search delivers up to 24‐fold higher throughput and 54.
Sung‐Ho Park, Jiseong Im, Yeongheon Yang, Ryun‐Han Koo, Jonghyun Ko, Mingyun Oh, Dongbeen Shin, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source

Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC). [PDF]

Sci Rep, 2023
Zhao Y, Shu X.
europepmc   +1 more source

Wafer‐Scale 3D Integration for High‐Density Multi‐Valued Neuromorphic Logic

Advanced Science, EarlyView.
Wafer‐scale 3D vertically integrated multi‐valued logic (MVL) circuits are realized by monolithically integrating a Te/IGZO heterojunction FET with an engineered Te pull‐up FET. Heterointerface‐mediated transport and optimized current matching enable stable ternary operation, while vertical stacking reduces circuit footprint and interconnect complexity,
Chang‐Hyeon Kim, Min Seok Kim, Joong Bum Rhim, Tae In Kim, Hyuck‐In Kwon, Ick‐Joon Park   +5 more
wiley   +1 more source

Comparative approach to different convolutional neural network (CNN) architectures applied to human behavior detection. [PDF]

Neural Comput Appl, 2023
Shirabayashi JV, Braga ASM, da Silva J.
europepmc   +1 more source

Predicting lysine methylation sites using a convolutional neural network

Protein lysine methylation is a particular type of post translational modification that plays an important role in both histone and non-histone function regulation in proteins.
Spadaro, Austin, Dehzangi, Iman, Sharma, Alok   +2 more
core   +1 more source