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Artificial intelligence

Enhanced convolutional block attention module with Learnable Gated Fusion (LGF-CBAM) for cocoa pod disease identification

Henry Techie-Menson, Michael Asante, [ ... ], Stephen Opoku Oppong

Enhancing the forecast accuracy of the daily number of patients arrivals in emergency department by hybrid ARIMAX-ANN algorithm

Hamed Tabesh, Ali AbbaszadehMozaffari, Zahra Ebnehoseini, Azadeh Saki

Estimation of soil salt content in the oasis tillage layer based on hyperspectral transformation and model combination

Yanping Guo, Xuemei Wang, [ ... ], Qian Zhang

Revolutionizing nanosatellites’ data integrity with SEEnet: A real-time ensemble learning approach for Single-Event Effect (SEE) prediction

Sara Karim, Ekramul Haque Tusher, [ ... ], Khair Razlan Othman

A multi-modal deep learning framework with GAN-based fusion for enhanced landslide detection

R. Srivats, Deepika Roselind Johnson, [ ... ], Abhiram Sharma

Predicting water status, growth and yield of tomato under different irrigation regimes using the RGB image indices and artificial neural network model

Mohamed S. Abd El-baki, Mohamed Maher Ibrahim, [ ... ], Nadia G. Abd El-Fattah

A robust multi-location evaluation of a machine learning framework for wind power forecasting

Usman Ali, Muhammad Sufyan, [ ... ], Muhammad Asif Habib

Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimer’s disease via data fusion and machine learning

Diana Sofia Rosales-Gurmendi, Gerardo Alejandro Fumagal-González, [ ... ], for the Alzheimer’s Disease Neuroimaging Initiative

Social friction vs. cognitive efficiency: A comparative analysis of help-seeking behaviors in human communities and generative AI

Li Qi, Lanlan Zhao

Multi-task gradient boosting with multi-modal molecular representations for simultaneous prediction of drug clearance and volume of distribution

Gyu-Seong Lee, Hyeong-Gyu Choi, Dae-Keun Park, Hyo Young Kim

A cross-sectional protocol for experimental tongue high-density surface electromyography to detect and classify radiation-associated hypoglossal neuropathy

Nathan J. Hansen, Karin Woodman, [ ... ], On behalf of the OPC-SURVIVOR Program Working Group

Optimizing LSTM networks and feature selection algorithms using GEE data

Mohammad Kazemi, Reza Naderi Samani, Narges Kariminejad

Differential performance of large language models in advanced cardiac life support assessment: A comprehensive multi-dimensional analysis of accuracy, consistency, and visual recognition capabilities

Murat Genc, Bensu Bulut, [ ... ], Zekeriya Uykan

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