Results 191 to 200 of about 43,032 (264)
Genetic Algorithm-Optimized CNN-BiLSTM Framework for Predicting the Remaining Useful Life of IGBT Modules. [PDF]
Hao Y +5 more
europepmc +1 more source
Accelerating hyperparameter optimization with a secretary
Víctor Muñoz +4 more
openaire +1 more source
ABSTRACT Aim Artificial intelligence (AI)–based surgical video analysis can automate time‐consuming manual assessments and enable objective characterization of surgical workflows. We aimed to construct a large, multicenter, fully annotated dataset of robotic distal gastrectomy (RDG) videos and evaluate the feasibility and performance of an AI model for
Masaru Komatsu +8 more
wiley +1 more source
Harnessing hybrid stacking ensemble learning for accurate pulmonary embolism diagnosis using tabular clinical data. [PDF]
Abdelhamid A +5 more
europepmc +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
A PSO-optimized self-supervised convolutional network for robust image watermark removal. [PDF]
Javdani Gandomani T +3 more
europepmc +1 more source
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
A hybrid transformer-BiLSTM model optimized with Firefly Algorithm for network traffic anomaly detection. [PDF]
Luo D +5 more
europepmc +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
A hybrid GPR framework with feature selection for enhanced prediction and explainability of subgrade soil strength. [PDF]
Bouguedra B +4 more
europepmc +1 more source

