Results 131 to 140 of about 52,284 (313)

Deep Learning Approach for Predicting Efficiency in Organic Photovoltaics from 2D Molecular Images of D/A Pairs

Advanced Theory and Simulations, EarlyView.
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa, Patrick Lévêque, Larbi Boubchir   +2 more
wiley   +1 more source

Block-wise sparse matrix-vector product dataset and convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product

, 2020
M. Barreda, Manuel F. Dolz, M. Asunción Castaño   +2 more
openalex   +2 more sources

VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening

Advanced Science, EarlyView.
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo, Yang Zhao, Xianle Rong, Chenxi Niu, Shiyu Hu, Qiang Liu, Fuping You   +6 more
wiley   +1 more source

Approach for identifying crop seeds with similar appearances using hyperspectral images and improved ResNet 18 based on cloud platform

Electronics Letters
This study proposes an improved ResNet18 model based on cloud platform and hyperspectral image to identify crop seeds. Hyperspectral images are preprocessed by moving average method (MA) and standard normal variable transformation (SNV) to reduce ...
Hui Li, Xuliang Duan
doaj   +1 more source

The Geometry of Layer 2/3 Cortical Sound Processing in Slow Wave Sleep

Advanced Science, EarlyView.
Sleep is associated with a sensory disconnection whose mechanisms remain elusive. Large neuronal population recordings in the auditory cortex revealed that, in NREM sleep, the neural code for sounds is highly similar to wakefulness, but coordinated modulations of neuron responsiveness intermittently disconnect the local cortical networks from sensory ...
Allan Muller, Anton Filipchuk, Sophie Bagur, Brice Bathellier   +3 more
wiley   +1 more source

A Review on Biodegradable Materials of Sustainable Soft Robotics and Electronics

Advanced Science, EarlyView.
Biodegradable materials are gaining increasing attention in soft robotics and electronics due to their environmental friendliness, showing great potential for sustainability. In this review, the classification of biodegradable materials, their applications in the field of soft robotics and electronics, as well as the challenges and future prospects ...
Yizhu Xie, Jiaxin Han, Xingyi Dai, Xuyang Zhang, Kangwen Xiao, Junhui Huang, Yajun Cao, Aihua Zhong, Long‐Biao Huang   +8 more
wiley   +1 more source

An Ultrathin, Cyano‐Functionalized Copolymeric Memristor by iCVD Process for Driving Convolutional Neural Networks of High‐Resolution Images

Advanced Science, EarlyView.
Two‐terminal polymer memristors based on cyano‐functionalized copolymer films are developed via a solvent‐free, initiated chemical vapor deposition (iCVD) process for high‐resolution image classification. Molecularly engineered p(CEA‐co‐DEGDVE) films enable stable, linear, and symmetric conductance modulation, supporting multi‐level weight mapping in ...
Ji In Kim, Minsu So, Woo Jin Wang, Taehoon Kim, Eun Su Jeong, Kyumin Sim, Hamin Park, Sung Kyu Kim, Yong Goo Shin, Junhwan Choi, Min Ju Kim   +10 more
wiley   +1 more source

A related convolutional neural network for cancer diagnosis using microRNA data classification

Healthcare Technology Letters
This paper develops a method for cancer classification from microRNA data using a convolutional neural network (CNN)‐based model optimized by genetic algorithm.
Najmeh Sadat Jaddi, Salwani Abdullah, Say Leng Goh, Mohammad Kamrul Hasan   +3 more
doaj   +1 more source

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