Results 181 to 190 of about 75,080 (277)

Using In Situ TEM to Understand the Surfaces of Electrocatalysts at Reaction Conditions: Single‐Atoms to Nanoparticles

Advanced Functional Materials, Volume 36, Issue 11, 5 February 2026.
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek, Soshan Cheong, Julie Cairney, Richard D. Tilley, Ingemar Persson   +4 more
wiley   +1 more source

Prediction of the disease burden of nasopharyngeal carcinoma in China: A comparative analysis of ARIMA, LSTM, and DNN models. [PDF]

Medicine (Baltimore)
Chen Y, Zhang K, Luo J.
europepmc   +1 more source

Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications

Advanced Sensor Research, Volume 5, Issue 2, February 2026.
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo, Karandeep Grover, Elizabeth J. New   +2 more
wiley   +1 more source

Advances in protein-protein interaction prediction: a deep learning perspective. [PDF]

Front Bioinform
Alkhateeb N, Awad M.
europepmc   +1 more source

scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing

Advanced Science, Volume 13, Issue 8, 9 February 2026.
scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
wiley   +1 more source

AI‐Assisted Bioelectronics for Personalized Health Management

Advanced Electronic Materials, Volume 12, Issue 3, 4 February 2026.
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong, Changhao Dai, Xuting Chen, Jilie Kong, Dacheng Wei, Xueen Fang, Wenhao Weng   +6 more
wiley   +1 more source

Prediction of child nutritional status using deep neural networks: A cross-sectional study of Egypt DHS data (2005-2014). [PDF]

Medicine (Baltimore)
Hendy A, Ibrahim RK, Abdelaliem SMF, Sultan HM, Sinnokrot SM, Al-Ma'ani M, Alzahrani B, Ali WH, Alshammari AM, Hendy A.   +9 more
europepmc   +1 more source

From Empirical Analysis to Mixture‐of‐Experts Modeling: Zero‐Shot Cross‐Frequency Forecasting in Real‐Time Photovoltaic Management

Advanced Energy and Sustainability Research, Volume 7, Issue 2, February 2026.
This study investigates real‐time forecasting for renewable energy management using solar photovoltaic data. By analyzing over 100 million multiresolution data points, the authors show that forecasting accuracy depends on time resolution, with different models excelling at different scales.
Issei Suemitsu, Toru Kono, Ryo Wakabayashi, Jun Tsunoda, Yosuke Yamaguchi, Wenpeng Wei   +5 more
wiley   +1 more source

Deep learning based optimal fish species identification to maximize production in fish ponds. [PDF]

Sci Rep
Arabelli R, Bernatin T, Veeramsetty V, Basha CHH.   +3 more
europepmc   +1 more source

Unraveling the Autism Spectrum Heterogeneity: Insights From ABIDE I Database Using Data/Model‐Driven Permutation Testing Approaches

Brain and Behavior, Volume 16, Issue 2, February 2026.
Highlights of the Manuscript: Investigates the influence of cofactors in differentiating Autism Spectrum Disorder (ASD) from neurotypical individuals using the ABIDE database. Utilizes statistical analysis and permutation testing approaches to evaluate disparities between ASD and control groups.
Francisco José Alcaide, Ignacio Alvarez Illan, Javier Ramírez, Juan Manuel Gorriz   +3 more
wiley   +1 more source