Research on Vehicle Detection Algorithms Based on Deep Learning in Complex Environments by Xiaodan Li (22309438)

Initialization Algorithm. by Ruizhi Yuan (16864629)

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Accelerated algorithms adaptation statistics. by Bosen Zeng (22404042)

“…<div><p>The open radio access network (O-RAN) architecture facilitates intelligent radio resource management via RAN intelligent controllers (RICs). Deep reinforcement learning (DRL) algorithms are integrated into RICs to address dynamic O-RAN slicing challenges. …”

Deep Learning-Based Multi-Scale Bubble Detection and Feature Analysis by Lichun Bai (6684683)

Comparison of multi-algorithm convergence curves. by Chengcheng Ding (9013862)

“…To address this, a coordinated framework is proposed, integrating a dynamic carbon emission trading (CET) mechanism with green certificate trading (GCT) and a Multi-Strategy Ameliorated Goose Optimization (MSAGOOSE) algorithm. …”

IOU values of four algorithms. by Hong Li (20183)

Federated Harmony Algorithm. by Ruizhi Yuan (16864629)

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Intelligent prediction of short-term photovoltaic power output based on PSO-RF and LASSO-penalized multi-kernel learning-based robust regression algorithm by Zhuoya Siqin (22400264)

“…This paper presents a novel approach to improving the precision of PV power forecasting, based on a LASSO-penalized multi-core learning-based robust regression algorithm with random forest (RF) optimization. …”

Federated Mixture of experts Correction Algorithm. by Ruizhi Yuan (16864629)

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Federated Maximum Diversity Clustering Algorithm. by Ruizhi Yuan (16864629)

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Optimal hyperparameters of the model-agnostic meta-learning algorithm with few-shot tasks. by Soraya Khanmohmmadi (21539953)

Algorithm flow based on CL-EPIDTN. by Fang Yang (123514)

Explanations when optimized towards prediction. by Bettina Soós (10860933)

“…Unlike traditional motif detection methods, which rely solely on statistical occurrence frequencies, and therefore can be decoupled from the learning task, our method optimizes important motifs based on fidelity and sparsity, together with sufficiency and necessity, which are deemed key properties when generating explanations for the learning task. …”

Clustering with k-means algorithm. by Efehan Ulas (10987211)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" by Pamela Lattanzi (16454871)

Efficiency of imputation algorithms. by Yongqi Bu (20477564)

The patchwise contrastive learning method based on PatchNCE loss. by Yang Zhang (30734)

Multi-class segmentation performances of Mask R-CNN algorithms on a test dataset. by Dennis Dennis (20490126)