Chemical Approaches for Array Based Detection of Amyloids
Amyloids are protein aggregates with both pathological and functional roles. Their detection is challenged by structural polymorphism, isoform diversity, and dynamic aggregation behavior. This review presents chemical array‐based sensing strategies that address these complexities, emphasizing fluorescence and colorimetric methods, alongside ...
Paulo M. Simon, Yijia Xu, Amandeep Kaur
wiley +1 more source
Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic +3 more
wiley +1 more source
Image-Based Telecom Fraud Detection Method Using an Attention Convolutional Neural Network. [PDF]
Li J, Dang J, Wang Y, Yang J.
europepmc +1 more source
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong‐Deok Kim +5 more
openalex +2 more sources
Vehicle Color Recognition in The Surveillance with Deep Convolutional Neural Networks [PDF]
Boyang Su +4 more
openalex +1 more source
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
Variety Identification of Corn Seeds Based on Hyperspectral Imaging and Convolutional Neural Network. [PDF]
Zhang L, Liu C, Han J, Yang Y.
europepmc +1 more source
CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning
CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang +13 more
wiley +1 more source
Convolutional neural network and wavelet composite against geometric attacks a watermarking approach. [PDF]
Lakshmi C +9 more
europepmc +1 more source
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 +6 more
wiley +1 more source

