Results 211 to 220 of about 449,358 (260)

Computer-aided diagnosis of neonatal acute bilirubin encephalopathy with multi-modal MRI images and convolutional neural networks. [PDF]

Sci Rep
Wu M, Liu Q.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Accurate prediction of cohesin and RNA Polymerase II-associated chromatin interactions using convolutional neural networks. [PDF]

Nucleic Acids Res
Abbas A, Chandratre K, Liu C, Zhang MQ, Mani RS.   +4 more
europepmc   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Blind recognition of channel codes based on dual-branch feature fusion convolutional neural networks. [PDF]

Sci Rep
Ma Y, Lei Y, Liu C, Wang W, Teng F, Peng C, Jin H, Feng H, Zhang M, Pan Y.   +9 more
europepmc   +1 more source

Convolutional neural network

, 2017
Frank Gaillard, Joachim Feger, Ben Chan
openaire   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

PotatoLeafNet: two-stage convolutional neural networks for effective Potato Leaf disease identification and classification. [PDF]

Front Artif Intell
Bhavani GD, Chalapathi MMV.
europepmc   +1 more source

Zoon0PredV: Potential Virus Species Crossover Prediction Using Convolutional Neural Networks and Viral Protein Sequence Patterns. [PDF]

Bioinform Biol Insights
Serage RA, Nyirenda CN, Omomule TG, Christoffels AG, Anderson DE.   +4 more
europepmc   +1 more source

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility. [PDF]

Front Neurosci
Wu J, Lu L, Wang Y, Li Z, Chen C, Li Q, Chen K.   +6 more
europepmc   +1 more source