Results 181 to 190 of about 851,263 (276)

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Effect of plastic composition in the combustion material on the Persistent Organic Pollutant content in smoked chicken meat. [PDF]

PLoS One
Hoang GD, Thu UN, Thi LN, Thuy DH, Nhat LBT, Duc NV, Thi XN, Minh TL, Hoang Le TA, Ngoc TN, Tien DN.   +10 more
europepmc   +1 more source

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

Advanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

Processed Meats as Delivery Systems for Nutraceuticals: Technological Advances, Bioavailability, Health Benefits, and Future Perspectives. [PDF]

Foods
Mus TE.
europepmc   +1 more source

Physics‐Guided Modeling of Temperature‐Dependent Electrical Conductivity of Functional Oxides

Advanced Intelligent Discovery, EarlyView.
This complete workflow presents an automated, data‐driven screening of functional oxides based on their predicted electrical conductivity. A curated dataset is fed into TriCondNet, a charge‐transport, physics‐guided neural network that classifies an input composition's conduction mechanism and then simulates its conductivity–temperature profile.
Elias Assaad, Jae Evans, Troy D. Manning, Matthew J. Rosseinsky, Kerys Trathen, Bei Peng, Matthew S. Dyer   +6 more
wiley   +1 more source

Emerging Microbiological and Sensor-Based Approaches for Biofilm Detection in Meat and Poultry Processing Environments. [PDF]

Foods
O'Bryan CA, Stalford B, Obe T, Crandall PG.   +3 more
europepmc   +1 more source

A 3D Multitask Graph Neural Network Framework for Ames Mutagenicity Prediction

Advanced Intelligent Discovery, EarlyView.
Our proposed multitask graph neural network model has a high predictive accuracy for Ames mutagenicity. By operating directly on molecular graph representations instead of traditional molecular descriptors, and predicting strain‐specific results, the model outperforms most existing benchmarks.
Abigail E. Teitgen, Eugenia Ulzurrun, Nuria E. Campillo, Eduardo R. Hernández   +3 more
wiley   +1 more source

Assessment of food safety knowledge and hygiene practices among poultry butchers in Chennai and its public health implications. [PDF]

Discov Public Health
Janarthanan G, Paramasivam V, Papaiyan K, Parthiban ABR, Fournié G, Blake DP, Tomley FM, Palavesam A.   +7 more
europepmc   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Navigating the urban food frontier: a cross-sectional study to evaluate the determinants of self-reported hygiene practices among street food vendors (<i>machinga</i>) in Dodoma region, Tanzania. [PDF]

BMJ Open
Kuyela EW, Peter DE, Millanzi WC.
europepmc   +1 more source