ARIMA MODEL OF OUTLIER DETECTION FOR FORECASTING CONSUMER PRICE INDEX (CPI) by M. Imron, Wika Dianita Utami, Hani Khaulasari, Firman Armunanto

Get full text

Time Series Foundation Model for Improved Transformer Load Forecasting and Overload Detection by Yikai Hou, Chao Ma, Xiang Li, Yinggang Sun, Haining Yu, Zhou Fang

Get full text

Detection of surges of SARS-Cov-2 using nonparametric Hawkes models by Sophie Phillips, George Mohler, Frederic Schoenberg

Get full text

The usage of power system multi-model forecasting aided state estimation for cyber attack detection by I. A. Lukicheva, A. L. Kulikov

“…The results showed the cyber attack detection rate of 100%. The Multi-Model Forecasting-Aided State Estimation is an protective measure against the impact of cyber attacks on power system.…”
Get full text

An integrated framework for multi-commodity agricultural price forecasting and anomaly detection using attention-boosted models by Eko Sediyono, Kristoko Dwi Hartomo, Christian Arthur, Intiyas Utami, Ronny Prabowo, Raymond Chiong

“…The proposed models outperformed baseline methods by achieving lower forecasting and anomaly detection errors. …”
Get full text

A Novel Multi-Step Forecasting-Based Approach for Enhanced Burst Detection in Water Distribution Systems by Xi Wan, Raziyeh Farmani, Edward Keedwell, Xiao Zhou

“…The approach incorporates a multi-step forecasting model, offering multiple sources for the forecasting, and aggregates the forecasts to establish a common expectation for the data pattern. …”
Get full text

Hybrid GRU–Random Forest Model for Accurate Atmospheric Duct Detection with Incomplete Sounding Data by Yi Yan, Linjing Guo, Jiangting Li, Zhouxiang Yu, Shuji Sun, Tong Xu, Haisheng Zhao, Lixin Guo

Get full text

AERO: Adaptive Edge-Cloud Orchestration With a Sub-1K-Parameter Forecasting Model by Berend J. D. Gort, Godfrey M. Kibalya, Angelos Antonopoulos

Subjects: Get full text

Sensor Fusion Enhances Anomaly Detection in a Flood Forecasting System by Andrew Ma, Abhir Karande, Natalie Dahlquist, Fabien Ferrero, N. Rich Nguyen

“…This new time series is then input into a time-series anomaly detection model which identifies if any readings are anomalistic. …”
Get full text

Modeling and forecasting of egg production in india using time series models by Abdullah Mohammad Ghazi Al Khatib, Harun Yonar, Mostafa Abotaleb, Pradeep Mishra, Aynur Yonar, Kadir Karakaya, Amr Badr, Vinti Dhaka

“…<p> <b>Results: </b>It is detected that Holt's Linear Trend Model is the best fit model for forecasting. …”
Get full text

Optimising energy distribution and detecting vulnerabilities in networks using artificial intelligence by D. Koshkin, O. Sadovoy, A. Rudenko, V. Sokolik

Get full text

Modelling and Forecasting Energy Efficiency Impact on the Human Health by Yuliia Matvieieva, Hedy Ben Hamida

Get full text

BiCA-LI: A Cross-Attention Multi-Task Deep Learning Model for Time Series Forecasting and Anomaly Detection in IDC Equipment by Zhongxing Sun, Yuhao Zhou, Zheng Gong, Cong Wen, Zhenyu Cai, Xi Zeng

Get full text

AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses by Dimitrios Kapetas, Panagiotis Christakakis, Sofia Faliagka, Nikolaos Katsoulas, Eleftheria Maria Pechlivani

“…For the visualization of the detection results, the DL model was embedded to a mobile application. …”
Get full text

An Integrated Framework for Cryptocurrency Price Forecasting and Anomaly Detection Using Machine Learning by Hani Alnami, Muhammad Mohzary, Basem Assiri, Hussein Zangoti

“…These findings highlight the importance of combining advanced machine learning techniques and cryptocurrencies to develop a robust framework for cryptocurrency forecasting and anomaly detection.…”
Get full text

Enhancing model robustness to imbalanced species abundance distributions: Eliminating misclassified records via a model-agnostic approach, exemplified by tuna fisheries datasets by Zhexuan Li, Tianjiao Zhang, Liming Song

Subjects: Get full text

Skill Validation of High-Impact Rainfall Forecasts over Vietnam Using the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS) and Dynamic... by Tran Anh Duc, Mai Van Khiem, Mai Khanh Hung, Dang Dinh Quan, Do Thuy Trang, Hoang Gia Nam, Lars R. Hole, Du Duc Tien

“…The 3-day rainfall forecast products evaluated include the European Centre for Medium-Range Weather Forecasts (ECMWF) High-Resolution Integrated Forecasting System (IFS) and its downscaled outputs using the Weather Research and Forecasting (WRF) model with the Advanced Research WRF core (WRF-ARW): direct downscaling and downscaling with data assimilation. …”
Get full text

A modified transformer model for the extended-range forecast of intraseasonal oscillation by Chuhan Lu, Yichen Shen, Zhaoyong Guan

“…Thus, the success of this model may shed light on improving extended-range forecast skills and assist the timely detection and prevention of possible meteorological disasters.…”
Get full text

Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model by Zulifqar Ali, Ijaz Hussain, Muhammad Faisal, Hafiza Mamona Nazir, Tajammal Hussain, Muhammad Yousaf Shad, Alaa Mohamd Shoukry, Showkat Hussain Gani

“…However, early measurement and detection of drought can provide guidance to water resources management for employing drought mitigation policies. …”
Get full text

Trend Detection and Forecasting of LST in Tabriz City using the Non-parametric Mann-Kendall and NNAR by Mohammad Ali Koushesh Vatan, Akbar Asghari Zamani, Shahrivar Rostaei

Get full text