Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

“…Again, addressing the limitations of traditional Kalman filtering in nonlinear motion trajectory prediction, a novel adaptive forgetting Kalman filter algorithm (FSA) is devised to enhance the precision of model prediction and the effectiveness of parameter updates to adjust to the uncertain movement speed and trajectory of pedestrians in real scenarios. …”

The primeval multi-channel map of the TEM method. by Zhengyu Xu (8550660)

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The pseudocode of the RFE algorithm. by Zuzhen Ji (17593348)

The steps of applying RF algorithm. by Zuzhen Ji (17593348)

Energy consumption in the PPO process. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Running time in the PPO process. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Data processing for multi-sensor synchronization. by Kathylee Pinnock Branford (18291038)

“…</b> All processed sensor data for the day is combined into a single dataset, <b>viii.…”

Results of RF algorithm screening factors. by Jintao Li (448681)

Algorithm steps for house price prediction model. by Xuan Wang (55634)

“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. The network integrates the attention mechanism with spatial feature extraction, and a bat optimization algorithm is used to improve explainability and accuracy. …”

Algorithm process. by Wei Cui (92129)

Flow of data processing and preparation. by Xuan Wang (55634)

“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. The network integrates the attention mechanism with spatial feature extraction, and a bat optimization algorithm is used to improve explainability and accuracy. …”

Reflection matrix microscopy data and CLASS algorithms by Sungsam Kang (18931031)

“…<h3><b>Reflection matrix microscopy data and CLASS algorithms</b></h3><p dir="ltr">This software package includes essential algorithms for reflection matrix microscope (RMM) and the CLASS algorithm. …”

Analysis process. by Jie Chu (293795)

Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State by Yu Gu (162342)

“…In this article, we provide a general framework for analyzing such multi-state data. We formulate the effects of potentially time-dependent covariates on the multi-state disease process through semiparametric proportional intensity models with random effects. …”

Strong-noise pixel denoising process schematic. by Haiyan Zhang (176919)

“…To address these issues, we have developed the 3D bilateral filtering algorithm with noise level estimation assisted by multi-temporal SAR(3D-NLE-BF). …”

Weak-noise pixel denoising process schematic. by Haiyan Zhang (176919)

“…To address these issues, we have developed the 3D bilateral filtering algorithm with noise level estimation assisted by multi-temporal SAR(3D-NLE-BF). …”

The Search process of the genetic algorithm. by Wenguang Li (6528113)

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The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

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Manually detected 11 speaker change points and framed signal of development database. by Sukhvinder Kaur (20297968)

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Configuration settings of the ten comparative algorithms. by Wenxing Wu (16853002)

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