Results 151 to 160 of about 525,499 (288)

Food‐Activated Microneedle Sensor for Real‐Time, Colorimetric Spoilage Monitoring of Pre‐Packaged Food

Advanced Science, EarlyView.
A microneedle spoilage sensor for packaged food products is presented. The sensor is composed entirely of food‐derived agents, integrated together using a novel material processing approach. This resultant platform nondestructively reports spoilage state in real‐time through a colorimetric output.
Shadman Khan, Akansha Prasad, Mahum Javed, Roderick MacLachlan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

Advanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang, Jie Cao, Chang Zhou, Haifeng Yao, Qun Hao   +4 more
wiley   +1 more source

Towards automated optimisation of residual convolutional neural networks for electrocardiogram classification [PDF]

, 2021
Zeineb Fki, Boudour Ammar, Mounir Ben Ayed   +2 more
openalex   +1 more source

Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue

Advanced Science, EarlyView.
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou, Shipeng Sun, Weiwei Tang, Bin Li   +3 more
wiley   +1 more source

Quasi‐Periodic Porous Structures‐Based Temperature and Pressure Dual‐Mode Electronic Skin for Material Cognition

Advanced Science, EarlyView.
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao, Chengzhen Xue, Xiaoliang Zhang, Xuejuan Meng, Xiaochun Li, Li Niu   +5 more
wiley   +1 more source

Training convolutional neural networks with the Forward-Forward Algorithm. [PDF]

Sci Rep
Scodellaro R, Kulkarni A, Alves F, Schröter M.   +3 more
europepmc   +1 more source

Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting

, 2019
Prakruti Bhatt, Sanat Sarangi, Anshul Shivhare, Dineshkumar Singh, Srinivasu Pappula   +4 more
openalex   +1 more source

Using Convolutional Neural Network to Recognize Emotions from Scalp Electroencephalography Plot Images

, 2023
Tabarek Alwan Tuib, Reza Sheibani, Seyyed Abed Hosseini   +2 more
openalex   +2 more sources

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

Blind Image Quality Assessment Using Convolutional Neural Networks. [PDF]

Sensors (Basel)
Frackiewicz M, Palus H, Trojanowski W.
europepmc   +1 more source