Results 141 to 150 of about 229,861 (318)
Global COVID-19 spread has necessitated the use of rapid and accurate diagnostic procedures to support clinical decision-making, particularly in resource-limited environments. In this work, a hybrid deep model combining Convolutional Neural Networks (CNN)
Akinyemi Omololu Akinrotimi +2 more
doaj
To appear in ICCV ...
openaire +2 more sources
We investigate the geometry‐governed optoelectronic anisotropy arising from dielectric confinement in quasi‐1D γ‐GaS nanoribbons with intrinsically isotropic atomic structures. Dielectric mismatch between the nanoribbon and its surroundings leads to a general polarization‐dependent photoresponse during near‐field scattering.
Jiawei Jing +16 more
wiley +1 more source
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang +13 more
wiley +1 more source
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source
This study presents a surveillance system developed for early detection of forest fires. Deep learning is utilized for aerial detection of fires using images obtained from a camera mounted on a designed four-rotor Unmanned Aerial Vehicle (UAV).
Batıkan Erdem Demir (18143934) +1 more
core +1 more source
DLR-SC/cnn-vis-vr: Prototype version
Visualization of CNN in Virtual ...
nadinemeissler
core +1 more source
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Underwater acoustic target classification has become a key area of research for marine vessel classification, where machine learning (ML) models are leveraged to identify targets automatically. The major challenge is inserting area-specific understanding
Najamuddin NAJAMUDDIN +2 more
doaj +1 more source
CNN-LSTM model performance comparison with/out optimization.
CNN-LSTM model performance comparison with/out optimization.
Muhammad Usman Tariq (11022141) +1 more
core +1 more source

