Evolution of Cleft Lip and Palate Surgery and the Pursuit for Consensus on Standardized Algorithms of Care by Priyanka Naidu, MBChB, MS, Alexander T. Plonkowski, MBBS, MRes, Caroline A. Yao, MD, MS, William P. Magee, III, MD, DDS

“…Unlike many other surgical conditions, there is no gold-standard algorithm of care for CLP. Several international consortiums, including Eurocleft, Americleft, and Scandcleft, aimed to investigate the ideal cleft care protocol. …”
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Development and validation of a small-sample machine learning model to predict 5–year overall survival in patients with hepatocellular carcinoma by Tingting Jiang, Xingyu Liu, Wencan He, Hepei Li, Xiang Yan, Qian Yu, Shanjun Mao

“…Among them, the SVM model had the best performance (Accuracy = 0.987, F1 score = 0.988, Recall value = 1.000). The SVM algorithm demonstrated superior performance and stability in the internal and external validations of the model. …”
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A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

“…Statistical learning theory is a research specialization of machine learning, especially applicable to small samples. Building upon the theoretical principles used to solve small-sample statistical problems, a new hypothesis has been developed; using this concept, we integrate the conjugate orthonormalized partial least-squares regression with the revised support vector machine algorithm to undertake the solution of the facial recognition problem. …”
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Classification of Survivors and Non-survivors of the Latest Epidemic Using Association Rules Algorithm by Nasrin Talkhi, Nooshin Akbari sharak, Zahra Pasdar, Maryam Salari, Seyed Masoud Sadati, Mohammad Taghi Shakeri

“…Materials and Methods: In this cross-sectional study, clinical data of 51460 hospitalized patients tested by polymerase chain reaction (PCR) were collected from February 20, 2020, to September 12, 2021, in Khorasan Razavi Province, Iran. An Apriori algorithm was used to extract association rules or patterns in data.  …”
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Security situational awareness of power information networks based on machine learning algorithms by Chao Wang, Jia-han Dong, Guang-xin Guo, Tian-yu Ren, Xiao-hu Wang, Ming-yu Pan

“…To properly predict the security posture of these networks, we provide a method based on machine learning algorithms to detect the security condition of power information networks. …”
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Multi-Task Perception Algorithm for Rail Transit Scenarios Based on Triplet Attention by GAO Rui, XIONG Yanping, WEI Chenfeng, XIE Guotao, GAO Ming

“…Moreover, by introducing differentiable parameters to optimize the data augmentation strategy, more diverse training samples were generated. Finally, a triplet attention mechanism was incorporated to address the original YOLOP algorithm's deficiency of losing key information during feature extraction. …”
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Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing by Sui Zhenxing, Wang Zheng, Yuan Xiaolei

“…These two non-ideal application scenarios will seriously deteriorate the algorithm’s anti-interference performance. This paper proposes an anti-mainlobe interference algorithm based on robust oblique projection preprocessing. …”
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3-D Packing in Container using Teaching Learning Based Optimization Algorithm by Linda Fitriyani, Larissa Alva Zerinda, Asri Bekti Pratiwi, Edi Winarko

“…More precisely, to validate the algorithm effectiveness, it was implemented in three sample cases. …”
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Multi-camera association tracking algorithm for pedestrian target based on difference image by Shuai Ren

“…The current pedestrian target tracking algorithm (such as adjacent frame matching target tracking algorithm, deep learning YOLOv5 algorithm, etc.) ignores pedestrian foreground image segmentation, resulting in significant errors in pedestrian target tracking and insufficient tracking results. …”
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TCGCL: Complex Network Traffic Classification Algorithm Based on Graph Contrastive Learning by HU Zhongze, QIN Hongchao, LI Zhenjun, LI Yanhui, LI Ronghua, WANG Guoren

“…The experiment shows that compared with the baseline algorithm, TCGCL reduces the sample input dimension by about 80% with almost the same accuracy. …”
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An algorithm for road target detection of autonomous vehicles based on improved YOLOv8 by Jianping Gao, Haotian Li, Zhe Li, Chengwei Xie, Xiaolei Ji, Yuzhuo Zhang

“…Experiments have shown that in the KITTI and TT100K datasets, the improved road object detection algorithm has improved accuracy to varying degrees compared to YOLOv8n. …”
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Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma by Mengjun Wang, Stephane Grauzam, Muhammed Furkan Bayram, James Dressman, Andrew DelaCourt, Calvin Blaschke, Hongyan Liang, Danielle Scott, Gray Huffman, Alyson Black, Shaaron Ochoa-Rios, David Lewin, Peggi M. Angel, Richard R. Drake, Lauren Ball, Jennifer Bethard, Stephen Castellino, Yuko Kono, Naoto Kubota, Yujin Hoshida, Lisa Quirk, Adam Yopp, Purva Gopal, Amit Singal, Anand S. Mehta

“…N-glycans from the examined glycoproteins were used to create machine learning algorithms, which were tested in a case-control sample set of 100 patients with cirrhosis and HCC and 101 matched patients with cirrhosis alone. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…Traditional algorithms are effective in simple scenarios, but are often limited by design features in complex environments. …”
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Research on a Streamlined Causal Tree Algorithm Based on Factor Space Theory by Kaile Lin, Fanhui Zeng, Xiaotong Liu, Ying Wang, Kaijie Zhang

“…In order to better reduce the size of causal trees and improve the classification accuracy, based on factor space theory and aiming at the elimination of noise and special samples in the dataset using the extension decision degree criteria, the conditional factor corresponding to the optimal extension decision degree is used as the branch node of the tree, and the abnormal state object is removed from the conditional factor, recurring to obtain the streamlined causal tree algorithm. …”
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Energy and channel transmission management algorithm for resource harvesting body area networks by Zhigang Chen, Lin Guo, Deyu Zhang, Xuehan Chen

“…Simulation results demonstrate the effectiveness of the proposed algorithm.…”
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An algorithm to Detect Overlapping Red Blood Cells for Sickle Cell Disease Diagnosis. by Mabirizi, Vicent, Kawuma, Simon, Safari, Yonasi

“…To facilitate early detection of sickle cell anemia, medical experts employ machine learning algorithms to detect sickle cell abnormality. Previous research revealed that algorithms for recognizing the shape of a sickle cell from blood smear by fractional dimension, cannot detect sickle cells if applied to blood samples containing overlapping red blood cells. …”
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A Multipopulation PSO Based Memetic Algorithm for Permutation Flow Shop Scheduling by Ruochen Liu, Chenlin Ma, Wenping Ma, Yangyang Li

“…Then, the best particle of each subpopulation is selected to construct a probabilistic model by using estimation of distribution algorithm (EDA) and three particles are sampled from the probabilistic model to update the worst individual in each subpopulation. …”
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Active learning algorithm for alleviating the user cold start problem of recommender systems by Toon De Pessemier, Bruno Willems, Luc Martens

“…This is due to the fact that real users are not always able to rate the item selected by the active learning algorithm and therefore cannot provide the requested information, in contrast to many machine learning scenarios where the labeling of all samples is possible. …”
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Analysis of Internet Marketing Forecast Model Based on Parallel K-Means Algorithm by Xiaolei Chen, Sikun Ge

“…Secondly, the weights in the K-means algorithm are mostly only applicable to target detection tasks. …”
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Multi-Scale Construction Site Fire Detection Algorithm with Integrated Attention Mechanism by Haipeng Sun, Tao Yao

“…First, considering the wide range of scale variations in detected objects, an additional detection layer with a 64-times down-sampling rate is introduced to enhance the algorithm’s detection capability for multi-scale targets. …”
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