Time series – Page 89 – GrooveSquid.com

July 13, 2025

Summary of Adafsnet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration, by Haoxiao Wang et al.

AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size…

July 13, 2025

Summary of Evaluating Rocket and Catch22 Features For Calf Behaviour Classification From Accelerometer Data Using Machine Learning Models, by Oshana Dissanayake et al.

Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning…

July 13, 2025

Summary of Dynamical Mode Recognition Of Coupled Flame Oscillators by Supervised and Unsupervised Learning Approaches, By Weiming Xu et al.

Dynamical Mode Recognition of Coupled Flame Oscillators by Supervised and Unsupervised Learning Approachesby Weiming Xu,…

July 13, 2025

Summary of Critical Review For One-class Classification: Recent Advances and the Reality Behind Them, by Toshitaka Hayashi et al.

Critical Review for One-class Classification: recent advances and the reality behind themby Toshitaka Hayashi, Dalibor…

July 13, 2025

Summary of Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-location Weather Data, By Charalampos Symeonidis and Nikos Nikolaidis

Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Databy Charalampos Symeonidis, Nikos NikolaidisFirst submitted…

July 13, 2025

Summary of Adafsnet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration, by Haoxiao Wang et al.

Summary of Evaluating Rocket and Catch22 Features For Calf Behaviour Classification From Accelerometer Data Using Machine Learning Models, by Oshana Dissanayake et al.

Summary of Dynamical Mode Recognition Of Coupled Flame Oscillators by Supervised and Unsupervised Learning Approaches, By Weiming Xu et al.

Summary of Critical Review For One-class Classification: Recent Advances and the Reality Behind Them, by Toshitaka Hayashi et al.

Summary of Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-location Weather Data, By Charalampos Symeonidis and Nikos Nikolaidis

Summary of Separation Capacity Of Linear Reservoirs with Random Connectivity Matrix, by Youness Boutaib

Summary of Any-quantile Probabilistic Forecasting Of Short-term Electricity Demand, by Slawek Smyl et al.

Summary of Sensor Response-time Reduction Using Long-short Term Memory Network Forecasting, by Simon J. Ward et al.

Summary of Review Of Data-centric Time Series Analysis From Sample, Feature, and Period, by Chenxi Sun et al.

Summary of Online Data Augmentation For Forecasting with Deep Learning, by Vitor Cerqueira et al.