Results 201 to 210 of about 11,734,216 (296)

Short‐Term Agricultural Drought Prediction Using Explainable Data‐Driven Models and Quantified Uncertainty

International Journal of Climatology, EarlyView.
This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das, N. R. Chithra, Venkataramana Sridhar   +2 more
wiley   +1 more source

Improving long short-term memory (LSTM) networks for arbitrage spread forecasting: integrating cuckoo and zebra algorithms in chaotic mapping space for enhanced accuracy. [PDF]

PeerJ Comput Sci
Zhu M, Liu Y, Qin P, Ding Y, Cai Z, Gao Z, Ye B, Qi H, Cheng S, Zeng Z.   +9 more
europepmc   +1 more source

Room-Level Fall Detection Based on Ultra-Wideband (UWB) Monostatic Radar and Convolutional Long Short-Term Memory (LSTM). [PDF]

Sensors (Basel), 2020
Ma L, Liu M, Wang N, Wang L, Yang Y, Wang H.   +5 more
europepmc   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

Advertisement design in dynamic interactive scenarios using DeepFM and long short-term memory (LSTM). [PDF]

PeerJ Comput Sci
Zeng L, Asif M.
europepmc   +1 more source

Integrated Prediction and Analysis of Soil Erosion and Soil Organic Carbon Loss in the Dayekou Watershed, Qilian Mountains

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion poses a critical threat to ecological security in mountain watersheds worldwide. Predicting its dynamics and associated soil organic carbon (SOC) loss remains an ongoing challenge during the 21st century due to complex interactions among climate, land use, and topography.
Yongde Kang, Shizhe Han, Xiaofeng Ren, Erwen Xu   +3 more
wiley   +1 more source

A model for new media data mining and analysis in online English teaching using long short-term memory (LSTM) network. [PDF]

PeerJ Comput Sci
Chen C, Aleem M.
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

Optimizing Energy Efficiency of a Twin-Screw Granulation Process in Real-Time Using a Long Short-Term Memory (LSTM) Network. [PDF]

ACS Eng Au
Sampat C, Ramachandran R.
europepmc   +1 more source

Optimization of Gradient Pulse Shape Prediction Using Temporal Convolutional Networks

Magnetic Resonance in Medicine, EarlyView.
Purpose To improve TCN‐based gradient‐waveform prediction with respect to acquisition efficiency and inference speed, and to evaluate its use for radial imaging. Methods Gradient waveforms were measured using a thin‐slice method on a preclinical MRI system. Separate TCN models were trained for each physical gradient axis to predict both gradient and B0$
Jiří Vitouš, Radovan Jiřík, Zenon Starčuk   +2 more
wiley   +1 more source