Results 171 to 180 of about 5,207,763 (284)

Ultra‐High Frequency Ultrasound Imaging and Quantification of Microvascular Flow in Xenograft Renal Cell Carcinoma in an Avian Chorioallantoic Membrane Model

Journal of Ultrasound in Medicine, EarlyView.
Patient‐derived xenograft (PDX) tumor models initiated in avian chorioallantoic membranes (CAM) are under investigation to evaluate the effectiveness of therapeutic options with the objective of personalizing treatments. CAM PDXs paired with ultra‐high frequency ultrasound (UHFUS) imaging could potentially constitute prospective high throughput assays ...
Sara Mar, Emmanuel Chérin, Justin Xu, David E. Goertz, Hon S. Leong, Christine E.M. Demore   +5 more
wiley   +1 more source

Automatic differentiation of voluntary and tremulous motion using ensemble empirical mode decomposition and convolutional Bi-directional LSTM. [PDF]

Sci Rep
Ling JQ, Bakibillah ASM, Chan PY, Nurzaman SG, Tan CP.   +4 more
europepmc   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

Land Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

Improving the performance of daily pan evaporation (Ev_p) prediction using the ensemble empirical mode decomposition combined with deep learning models. [PDF]

Sci Rep
Kayhomayoon Z, Arya Azar N, Ghordoyee Milan S, Berndtsson R, Kianmehr P.   +4 more
europepmc   +1 more source

Artificial Intelligence for Identifying Tumor‐Reactive CD8+ T Cells: Biological Principles, Computational Advances, and Future Directions

Med Research, EarlyView.
This review details a three‐stage paradigm shift for tumor‐reactive CD8+ T‐cell identification: decoding transcriptomic states, deciphering clonal functional efficacy, and molecular‐level therapeutic TCR design. Addressing translational hurdles and generative AI “scientific blind spots”—such as missing catch bonds—we present a visionary roadmap.
Chao Yang, Yingying Sun, Yan Zhang, Yifen Shi, Zhiwen Shi   +4 more
wiley   +1 more source

Fault Diagnosis of a Bogie Gearbox Based on Pied Kingfisher Optimizer-Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Improved Multi-Scale Weighted Permutation Entropy, and Starfish Optimization Algorithm-Least-Squares Support Vector Machine. [PDF]

Entropy (Basel)
Zhang G, Ma S, Wang X.
europepmc   +1 more source

Creep Mechanism Mapping of Lamellar Ti–Al Alloys With Crystal‐Plasticity Phase‐Field and Interpretable Machine Learning Framework

Materials Genome Engineering Advances, EarlyView.
Crystal‐plasticity phase‐field simulations combined with stacked machine learning map the creep microstructure relationship in lamellar Ti‐Al alloys. Interpretable learning identifies lamellar thickness, elastic strain energy, and interfacial energy as dominant factors governing the diffusion‐to‐dislocation creep transition and overall creep resistance.
Zan Zhang, Kunning Niu, Shenglong Wang, Xianshun Wu, Yongsheng Li   +4 more
wiley   +1 more source

Improved complete ensemble empirical mode decomposition with adaptive noise and composite multiscale permutation entropy for denoising blast vibration signal. [PDF]

Heliyon
Kang YZ, Yao YK, Dong RL, Jia YS, Xie QM, Wang JN.   +5 more
europepmc   +1 more source

Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting. [PDF]

Entropy (Basel), 2020
Wu J, Zhou T, Li T.
europepmc   +1 more source

An Integrated Statistical and Machine Learning Framework for Predicting the Dry Sliding Tribological Behavior of CFRP and GFRP Composites Under Environmental Aging and Loading Conditions

Polymer Composites, EarlyView.
The graphical abstract presents the experimental and data‐driven framework used to investigate the dry sliding tribological behavior of CFRP and GFRP composites. The effects of seawater, engine oil, diesel fuel, aging time, and normal load on the specific wear rate (SWR) and coefficient of friction (COF) were evaluated using pin‐on‐disc tests, ANOVA ...
Ahmet Saylık, İhsan Tuğal, Şemsettin Temiz   +2 more
wiley   +1 more source