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Forecasting

ProtAttn-QuadNet: An attention-based deep learning framework for protein–protein interaction prediction using ProtBERT embeddings

Md. Shahidul Islam, Md. Muhtasim Rahman Mim, Md. Raihan Kabir

Regularized regression in ultra-small chemometric datasets: A methodological case study using FTIR spectra of Schiff bases

Khudhayr Abdullah Rashedi, Tariq Saleh Alshammari, [ ... ], Tahir Mehmood

An AI-driven fire risk forecasting framework for urban villages using IGWO-optimized LSTM with incremental learning

Jiangxue Tian, Handong Li, Shuran Lv

From expert opinion to data driven selection of sports equipment: Boot selection in alpine ski racers

Christina Kranzinger, Thomas Stöggl, [ ... ], Michael Lasshofer

A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection

Yang Rui, Liang Zhaofeng, Liang Xunyun, Liu Zehuai

DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting

Guoqiang Sun, Yang Zhao, [ ... ], Xiaoyan Qi

AMGST: Adaptive multi-graph convolution and spatiotemporal attention network for traffic forecasting

Pei Shi, Qixiang Lu, [ ... ], Jiadong Sun

Correlation of single-round strokes & performance indicators: Paris Olympic elite female golfers

Heng Liu, Zhenjun Li, [ ... ], Huang Lin

Comparison of local large language models for extraction of signs and symptoms data from electronic health records

Isa Spiero, Merijn H. Rijk, [ ... ], Artuur M. Leeuwenberg

A machine learning–coupled APSIM model pipeline for projected oil palm yield in Surat Thani, Thailand

Napat Jantaraprasit, Parichart Promchote, [ ... ], Piya Kittipadakul

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