Sökresultat - "Time series forecasting"

Comparative Evaluation of Machine Learning Models for Time Series Forecasting in Network Traffic Analysis

Hussein, Areej, Gan Goh, Gerald Guan, Anbar, Mohammad Ali, Nassr, Mohammad, Semenova, Mariya I., Aksenova, Tatiana V.

2025 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

Modeling Urban Transformation and Predicting Respiratory Disease Trends in Thailand with Machine Learning

Pichedpan, Natvara, Kongchatree, Kunanon, Suriyo, Ongon, Kongkachandra, Rachada, Uypatchawong, Surasit, Songmuang, Pokpong

2025 IEEE International Conference on Cybernetics and Innovations (ICCI)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting

Jin, M., Shi, G., Li, Y., Xiong, B., Zhou, T., Salim, F.D., Zhao, L., Wu, L., Wen, Q., Pan, S.

Beam Prediction Based on Large Language Models

Sheng, Y., Huang, K., Liang, L., Liu, P., Jin, S., Ye Li, G.

Synergy Between Resource-Efficient Data Transmission and Precision-Adaptive Fault Diagnosis for High-Frequency Signals

Wu, Y., Yang, B., Zhu, D., Chen, C., Guan, X.

A New Metric Based on Association Rules to Assess Feature-Attribution Explainability Techniques for Time Series Forecasting

Troncoso-Garcia, A.R., Martinez-Ballesteros, M., Martinez-Alvarez, F., Troncoso, A.

Multimodal Time Series Forecasting for Online Oil Monitoring of Petrochemical Pelletizer Gearbox Using Multiscale Inverted Transform Network

Yang, G., Tao, H., He, S., Feng, W., Du, R., Zhong, Y.

Optimal Short-Term Forecast for Locally Stationary Functional Time Series

Cui, Y., Zhou, Z.

PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer

Lin, S., Lin, W., Wu, W., Wang, S., Wang, Y.

Real-Time Vibration Estimation and Compensation With Long Short-Term Memory Recurrent Neural Network

He, Y., Zhang, Y., Fan, Y., Tan, U.

MsPF-Trans: A Generative Transformer for Multistep Probabilistic Forecasting of Radar Pulse Repetition Interval Sequences

Wang, Z., Li, Y., Gong, Z., Zhu, M.

On the Implementation of Temporal Fusion Transformers for Target Recognition and Tracking

Mylonakis, Constantinos M., Velanas, Pantelis, Zaharis, Zaharias D.

2025 IEEE Wireless Communications and Networking Conference (WCNC)

AI for Predictive Monitoring and Anomaly Detection in DevOps Environments

Jeyarajan, Baskaran, Murugan, Aravindhan, Pandy, Gokul, Pugazhenthi, Vigneshwaran Jagadeesan

SoutheastCon 2025

Enhancing Ecological Forecasting with LSTM Models: The Impact of Partition-Based Data Shuffling on Predictive Accuracy

Li, Zhengnan, Chavez, Juan Francisco Leonhardt, Pant, Shubham, Li, David

SoutheastCon 2025

Comparing Different Machine Learning and Deep Learning Models for Daily Rainfall Prediction at Kerala Point Location

Jha, Keshav, Kumar, Prashant

2025 3rd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT)

Bitcoin Price Trends: A Neural Network Approach with RNN & LSTM

Kumar, Koduru Gagan, Kumar, Tanthi Sumith, Reddy, Bugga Madhusudhan, Sai, Akula Charan, Reddy, Sura Ram Nithin

2025 International Conference on Intelligent Computing and Control Systems (ICICCS)

Dynamic Ensemble Short-Term Load Forecasting for Residential Building with Low Data Availability: SARIMA vs. LSTM

Palaniswamy, Lakshimi Narayanan, Kappler, Tim, Munzke, Nina, Hiller, Marc

2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability (CIETES)

Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data

Guttel, Yonathan, Moradov, Orit, Lieder, Nachi, Greenstein-Messica, Asnat

2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics Companion (CiFer Companion)

Financial Fine-Tuning a Large Time Series Model

Fu, Xinghong, Hirano, Masanori, Imajo, Kentaro

2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CiFer)

Fair Price Prediction for Farmers: Leveraging Freshness of Perishable Goods Through Machine Learning and Sustainable Practices

V, Malavika, M, Nikita Mabel, Dmonte, Chantelle I, Zaid, Mohammed, J, Lenish Pramiee

2025 IEEE 14th International Conference on Communication Systems and Network Technologies (CSNT)