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Using the State Space Model based on ARIMA Model for Air Temperature Forecasting. [PDF]

المجلة العراقية للعلوم الاحصائية
The high accuracy of forecasts with the temperature data is very important to control environmental damages such as desertification and water resources drought as well as it is important to control the uses of renewable energy and clean energy. Using the
Suha Mahjoob, Osamah Shukur
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Slot State Space Models

Advances in Neural Information Processing Systems 37
Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeling problems, the underlying process is inherently modular and it is of interest to have inductive biases that mimic this modular structure.
Jindong Jiang, Fei Deng 0001, Gautam Singh, Minseung Lee, Sungjin Ahn   +4 more
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Modeling of HVAC Systems for Fault Diagnosis

IEEE Access, 2020
Analytical model based fault diagnosis method is seldom adopted for heating, ventilating and air conditioning (HVAC) systems as it is rather difficult to establish and verify an explicit model for HVAC systems.
Aibing Qiu, Ze Yan, Qiangwei Deng, Jianlan Liu, Liangliang Shang, Jingsong Wu   +5 more
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SGCM-Net: structure-guided mural inpainting with state space model

Scientific Reports
The degraded regions of ancient murals often contain intricate textures and structural curves, presenting major challenges for traditional mural restoration.
Yiyin Qiu, Jianjun Chen, Yan Fan, Md Rakib Hossain, Fei Wang, Xibei Yang   +5 more
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Bidirectional Mamba state-space model for anomalous diffusion

JPhys Photonics
Characterizing anomalous diffusion (AnDi) is crucial in order to understand the evolution of complex stochastic systems, from molecular interactions to cellular dynamics. Here, we evaluate the performances regarding such a task of Bi-Mamba, a novel state-
Maxime Lavaud, Yosef Shokeeb, Juliette Lacherez, Yacine Amarouchene, Thomas Salez   +4 more
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S$^{3}$Mamba: Pan-Sharpening via Spatial–Spectral Synergistic State Space Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Pan-sharpening aims to fuse a high-spatial-resolution panchromatic image with a low-spatial-resolution multispectral (MS) image to generate a high-quality, high-spatial-resolution MS image. Despite the development of existing pan-sharpening methods, they
Yuyan Yan, Yu Wang, Wei Tu, Jiaming Wang, Bowen Cai, Qingwei Zhuang, Xiaolong Zuo, Yunong Chen, Haobin Zhang, Zhenfeng Shao   +9 more
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Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives

Energies, 2019
In a variety of motor models, the effects of iron-loss (ILS) on motor control accuracy and efficiency are generally ignored. This makes it difficult for the motor control system to obtain accurate control parameters (especially on high speed and low load
Kang Wang, Ruituo Huai, Zhihao Yu, Xiaoyang Zhang, Fengjuan Li, Luwei Zhang   +5 more
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Oscillatory State-Space Models

CoRR
ICLR 2025 (Oral)
T. Konstantin Rusch, Daniela Rus
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Study on the Method for Analyzing Electric Network Resonance Stability

Energies, 2018
With the increasing utilization of power electronic equipment in power systems, there has been an increase in the occurrence of oscillatory behavior from unknown sources in recent years.
Zheng Xu, Shijia Wang, Facai Xing, Huangqing Xiao   +3 more
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A Deep State Space Model for Rainfall‐Runoff Simulations

Water Resources Research
The classical way of studying the rainfall‐runoff processes in the water cycle relies on conceptual or physically‐based hydrologic models. Deep learning (DL) has recently emerged as an alternative and blossomed in the hydrology community for rainfall ...
Yihan Wang, Lujun Zhang, Annan Yu, N. Benjamin Erichson, Tiantian Yang   +4 more
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