The flowchart of GWO-VMD method. by Zhenjing Yao (22189970)

“…<div><p>Seismic noise separation and suppression is an important topic in seismic signal processing to improve the quality of seismic data recorded at monitoring stations. We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”

Formal analysis for Algorithm 1 and Algorithm 2. by Amal Ezz-Eldien (20235128)

“…The quest to find more effective algorithms for prime number generation is driven by the increasing demand for secure communication and data storage and the need for efficient algorithms to solve complex mathematical problems. …”

Example scenario to illustrate how rating is predicted by proposed algorithm. by Muhammad Waqar (500788)

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Performance of various biclustering algorithms on FilmTrust dataset with SARSA. by Muhammad Waqar (500788)

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Initialization Algorithm. by Ruizhi Yuan (16864629)

“…Here, we introduce Federated Harmony, a novel method combining properties of federated learning with Harmony algorithm to integrate decentralized omics data. …”

Flow diagram of cuckoo search algorithm. by Muhammad Sadiq (9449915)

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ICEEMDAN algorithm steps with implementation details. by Yaopeng Han (22622718)

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DataSheet1_A novel strain-based bone-fracture healing algorithm is able to predict a range of healing outcomes.PDF by George T. Morgan (19867125)

“…This study introduces a novel, strain-based fracture-healing algorithm designed to predict a wide range of healing outcomes, including both successful unions and non-unions. …”

Classification accuracy of feature set 2 and feature set 3 in each algorithm. by Quan Shao (20148209)

Convergence curves of various improved WOA algorithms. by ZeSheng Lin (20501356)

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Comparison with other algorithms on a regression task. by Hiroshi Maruyama (2531797)

Comparison with the BST algorithm for the AF and CST bundles. by Thomas Durantel (20933812)

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Code and test data for Polycenter by Ya-Ke Zhai (14248922)

FastICA algorithm and feature point selection. by Huanyu Yang (6683780)

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Ablation study visualization results. by Xiaozhou Feng (2918222)

“…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”

Experimental parameter configuration. by Xiaozhou Feng (2918222)

“…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”

FLMP-YOLOv8 identification results. by Xiaozhou Feng (2918222)

“…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”

C2f structure. by Xiaozhou Feng (2918222)

“…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”

Experimental environment configuration. by Xiaozhou Feng (2918222)

“…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”

Ablation experiment results table. by Xiaozhou Feng (2918222)

“…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”