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Neural networks

DG-LLM: Decomposition-based dynamic graph adaptation of large language models for spatiotemporal traffic forecasting

Sadia Tabassum, Naushin Nower

Optimizing bike-sharing station locations: A machine learning and artificial neural networks approach using geospatial and demographic data

Marek Weis, Wojciech Dawid

I2I - From illusion to illumination: A neoteric deep learning model for recognizing medical situation actions using depth sensors data

Saima Sultana, Eraj Tanweer, [ ... ], Mazliham Mohd Su’ud

A curated dataset and lightweight deep learning framework for tea leaf disease classification

Sakibul Hasan Chowdhury, Md Shohel Arman, [ ... ], Parvez Ahmed Moju Fahim

Chrysoprase color grading with machine learning: A systematic approach

Yuansheng Jiang, Ying Guo, [ ... ], Stephen Westland

Multivariate control based on recurrent wavelet neural network for wastewater treatment process

Yu Fang, Yin Su, You Li

GBCapsNet: A calibrated capsule network for automated gallbladder disease diagnosis via ultrasound imaging

Madhu Golla, Hareesha Katiganere Siddaramappa, [ ... ], Pradeep Nijalingappa

Reinforcement learning-controlled differential evolution with L-BFGS refinements

Yang Cao, Bingchuan Wu, Miao Wen

DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics

Mohammadamin Moragheb, Alireza Dehghan, Parvin Razzaghi, Sajjad Gharaghani

Gated subspace alignment with drift compensation for parameter-efficient Class-Incremental Learning

Jianye Gu, Shucheng Huang, [ ... ], Mingxing Li

Data-driven fuzzy information granulation for predicting freight volume trends

Yunbo Gao, Xinyu Wang, [ ... ], Rui Li

Test–retest reliability of meta analytic networks during naturalistic viewing

Jean-Philippe Kröll, Patrick Friedrich, [ ... ], Susanne Weis

Intelligent diagnosis of major depressive disorder with edge convolution and contrastive learning

Dan Long, Chen Zhu, [ ... ], Fangfang Dong

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