Automatic segmentation and landmark detection of 3D CBCT images using semi supervised learning for assisting orthognathic surgery planning by Haomin Tang, Shu Liu, Yongxin Shi, Jin Wei, Juxiang Peng, Hongchao Feng

“…Among them, the dice of the semi-supervised algorithm adopted in this study reached 93.41 and 96.89% in maxillary and mandibular segmentation tasks, and the average error of landmark detection tasks reached 1.908 ± 1.166 mm, both of which were superior to the full-supervised algorithm with the same data volume annotation. …”
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From Rating Predictions to Reliable Recommendations in Collaborative Filtering: The Concept of Recommendation Reliability Classes by Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos

“…The efficacy of the presented algorithm is evaluated through an extensive multi-parameter evaluation process, which demonstrates that it significantly enhances recommendation quality.…”
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Euclidean Distance-Based Weighted Prediction for Merge Mode in HEVC by Hongwei Guo, Xiangsuo Fan, Lei Min

“…To address this problem, the paper proposes a Euclidean distance-based weighted prediction algorithm as an additional candidate in the merge mode. …”
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Waveform similarity-based recurrent temporary fault identification in a medium-voltage distribution network by CHEN Lin, ZHANG Wenhai, XIAO Xianyong, LI Changsong

“…Temporary faults in a medium-voltage distribution network may recur many times before they evolve into permanent faults. …”
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Random forest model analysis of influencing factors of chemotherapy-induced peripheral neuropathy in patients with nasopharyngeal carcinoma: a cross-sectional survey study by Yanxin Zhang, Xiaojun Huang, Guirong Yang, Wei Li, Limin Liang, Lina Wei, Jiamei Lu

“…Even after the cessation of chemotherapy, symptoms of CIPN may endure for an extended period. Despite its considerable impact, there is a paucity of research examining the effects of CIPN on patients.ObjectiveTo investigate the current status of CIPN in patients with nasopharyngeal carcinoma (NPC) and accurately identify factors influencing neurotoxicity based on the Random Forest algorithm.MethodA total of 289 patients with NPC were admitted to the Radiotherapy Department of the First Affiliated Hospital of Guangxi Medical University between August 2023 and April 2024 to investigate the current status of neurotoxicity, cognitive impairment, fatigue, and hand-foot syndrome. …”
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Mining predicate rules without minimum support threshold by Hafiz Ishfaq Ahmad, Alex Tze Hiang Sim, Roliana Ibrahim, Syed Mazhar Ali Shah, Mohammad Abrar, Asma Gul

“…The algorithm scans the database and uses  measure’s property to search for interesting combinations. …”
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Hybrid and optimized neural network models to estimate the elastic modulus of recycled aggregate concrete by Mingke Zheng, Jinzhao Yin, Lei Zhang, Lihua Wu, Hao Liu

“…The accuracy of MLPNN deeply related to neuron numbers of each hidden layer, wherein the present paper, three optimization algorithms; the arithmetic optimization algorithm (AOA), equilibrium optimizer (EO), and flow direction algorithm (FDA); are merged with MLPNN to obtain the ideal value of neuron numbers. …”
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Power Communication Network Recovery from Large-Scale Failures Based on Reinforcement Learning by Huibin JIA, Yonghe GAI, Baogang LI, Hongda ZHENG

“…Natural disasters or malicious attacks may cause large-scale failures of power communication networks in smart grid systems, which will impose big risks on the security and stability of the power system operation unless the communication network is recovered immediately. …”
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Defect Detection of Power Equipment by Infrared Image by Ruiyong HUANG, Meisheng DAI, Yuebin ZHENG, Qinqin HUANG, Liye KANG, Xiantai GOU, Weichao ZHOU

“…The artificial methods or traditional machine learning methods cannot accurately identify and classify the defects of power equipment, and other environmental factors may easily lead to false judgment. In this paper, the algorithm model of CenterNet combined with structured positioning is adopted. …”
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Financial regulation reforms in China – can artificial intelligence be a gamechanger to more sustainable financial regulations by Klemens Katterbauer

“…This is an important distinction for AI algorithms that may be used in several fields. Furthermore, the Deep Synthesis Regulation governs any use of deep synthesis technology in the PRC for the provision of internet information services, the same as the Algorithm Recommendation Regulation governs any use of algorithm recommendation technologies. …”
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Optimization Strategy for Building Electrical Devices Considering Multi-Comfort and Economic Virtual Game Players by Xiyong Bao, Zhen Feng, Qiao Yan, Ruiqi Wang

“…Excessively pursuing the comfort of the indoor environment in buildings may increase the energy consumption of operating equipment. …”
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Modeling and Optimization of Stochastic Joint Replenishment and Delivery Scheduling Problem with Uncertain Costs by Lin Wang, Hui Qu, Yanhui Li, Jing He

“…The problem is to determine procedures for inventory management and vehicle routing simultaneously so that the warehouse may satisfy demand at a minimum long-run average cost. …”
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Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels by Eunjeong L. Park, Sungzoon Cho, Pilsung Kang

“…Paragraph Vector is one of such algorithms, which extends the word2vec algorithm by considering the paragraph as an additional word. …”
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Incremental Reinforcement Learning for Portfolio Optimisation by Refiloe Shabe, Andries Engelbrecht, Kian Anderson

“…This study introduces a recurrent proximal policy optimisation (PPO) algorithm, leveraging recurrent neural networks (RNNs), specifically the long short-term memory network (LSTM) for pattern recognition. …”
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Reconstruction of ionospheric VTEC using empirical orthogonal function and its performance during extreme geomagnetic storm by Rajat Acharya, Victor Dey

“…The reconstruction accuracy of the algorithm was found to be better than 4 TECU (TECU = 1016 electrons/m2) for more than 99.9 % of the time when tested over the complete year of 2016 with only eight basis vectors. …”
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Graph-based method for constructing consensus trees by Torquet Elio, Jansson Jesper, Tahiri Nadia

“…A consensus tree is a phylogenetic tree that synthesizes a given collection of phylogenetic trees, all of which share the same leaf labels but may have different topologies, typically obtained through bootstrapping. …”
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Computational Issues in Nonlinear Dynamical Systems: Creating Bifurcation Diagrams of Lyapunov Exponents Using a Novel Adaptive Approach by Maciej Walczak, Wieslaw Marszalek

“…First, the well-known Lyapunov exponents approach is discussed, and the orthogonalization procedure of the Parker-Chua method is modified to deal with a possibility of existence of co-linear vectors of Jacobian matrix (singularity of the matrix) in the orthogonalization algorithm. The co-linearity of vectors may lead to an extremely high matrix conditional coefficient, and, as a consequence, a failure of the procedure of orthogonalization in the Lyapunov exponents computation. …”
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In-silico and in-vitro morphometric analysis of intestinal organoids. by Sandra Montes-Olivas, Danny Legge, Abbie Lund, Alexander G Fletcher, Ann C Williams, Lucia Marucci, Martin Homer

“…Here, we developed an algorithm to automate crypt-like structure counting on intestinal organoids in both in-vitro and in-silico images. …”
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Automatic Monitoring of Rock‐Slope Failures Using Distributed Acoustic Sensing and Semi‐Supervised Learning by Jiahui Kang, Fabian Walter, Patrick Paitz, Johannes Aichele, Pascal Edme, Lorenz Meier, Andreas Fichtner

“…Besides DAS, the dataset from 16 May to 30 June 2023 includes Doppler radar data for partially ground‐truth labeling. …”
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A hybrid VMD-LSTM-SVR model for landslide prediction by Nianhong Wang, Meijun Wang, Jun Zhang

“…This study employs the Long Short-Term Memory (LSTM) neural network and Support Vector Regression (SVR), combined with the Variational Mode Decomposition (VMD) algorithm, to construct predictive models. Initially, the VMD algorithm decomposes the landslide displacement time series into trend, periodic, and stochastic components. …”
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