Research on anomaly detection algorithm based on sparse variational autoencoder using spike and slab prior by Huahua CHEN, Zhe CHEN

“…Anomaly detection remains to be an essential and extensive research branch in data mining due to its widespread use in a wide range of applications.It helps researchers to obtain vital information and make better decisions about data by detecting abnormal data.Considering that sparse coding can get more powerful features and improve the performance of other tasks, an anomaly detection model based on sparse variational autoencoder was proposed.Firstly, the discrete mixed modelspike and slab distribution was used as the prior of variational autoencoder, simulated the sparsity of the space where the hidden variables were located, and obtained the sparse representation of data characteristics.Secondly, combined with the deep support vector network, the feature space was compressed, and the optimal hypersphere was found to discriminate normal data and abnormal data.And then, the abnormal fraction of the data was measured by the Euclidean distance from the data feature to the center of the hypersphere, and then the abnormal detection was carried out.Finally, the algorithm was evaluated on the benchmark datasets MNIST and Fashion-MNIST, and the experimental results show that the proposed algorithm achieves better effects than the state-of-the-art methods.…”
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DAGAN: A Domain-Aware Method for Image-to-Image Translations by Xu Yin, Yan Li, Byeong-Seok Shin

“…We examined the instance-aware framework on datasets generated by YOLO and confirmed that this is capable of generating images of equal or better diversity compared to current translation models.…”
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A Bayesian Markov Framework for Modeling Breast Cancer Progression by Tong Wu

“…While the analysis is conducted with simulated data, the framework is adaptable to real-world datasets, offering valuable insights for refining screening policies and optimizing inter-screening intervals.…”
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Formes et fonctions de la « donnée » dans trois webs environnementaux sud-américains (Argentine, Bolivie, Brésil) by Pierre Gautreau, Marta Severo, Timothée Giraud, Matthieu Noucher

“…In order to maintain its centrality in the circulation of information, its strategies range from the indexing of public and private data to digital “soft power” actions through dissemination of reference datasets.…”
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Survey on IPv6 address scanning technology based on seed sources by Guo LI, Lin HE, Guanglei SONG, Zhiliang WANG, Jiahai YANG, Zimu LI

“…Nowadays,the state-of-the-art technologies can spend a very short time to scan the whole IPv4 space,but these methods cannot be applied to the huge IPv6 space easily.Therefore,many researchers propose different heuristic algorithms for the sake of IPv6 scanning.The common way of these algorithms is to input collected IPv6 seed addresses and output new most likely active IPv6 addresses as candidates for later scanning.These methods greatly reduce the scanning range of the active address area.These technologies based on seed addresses were classified,analyzed and summarized,and detailed analysis of the advantages and disadvantages of each method was given.And the several challenges faced by the methods were discussed.73M seed addresses were collected in total from two sources,including published IPv6 datasets in papers and Beijing Node of China Education and Research Network.Through the proposed experiments,time performance and hit rate of four IPv6 address scanning technologies based on seed addresses was compared.Finally,the own thoughts on this field and some future research directions were proposed.…”
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A Robust Skewed Boxplot for Detecting Outliers in Rainfall Observations in Real-Time Flood Forecasting by Chao Zhao, Jinyan Yang

“…The standard boxplot is one of the most popular nonparametric tools for detecting outliers in univariate datasets. For Gaussian or symmetric distributions, the chance of data occurring outside of the standard boxplot fence is only 0.7%. …”
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Comparison of the Performance of Pegasos and Traditional Models in the Task of Sentiment Classification of Product Reviews by Zhu Di

“…Therefore, in this study, three models (two traditional models and one new model Pegasos) were selected for comparison. The same datasets and data preprocessing methods were selected for the three models to compare the final emotion classification accuracy, and finally, the experimental result with the highest accuracy of the Pegasos model was obtained. …”
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Improving CT reconstructions of multi-material assemblies by multi-position data fusion: a case study by Javier Sánchez Prieto, Filippo Zanini, Simone Carmignato

“…The approach operates in the projection domain, minimizing the need for extensive datasets while enhancing artifact mitigation. Two polymer-metal case studies are presented: the "surprise egg", featuring a single metallic element, and the "multi-material cake", involving multiple interacting metallic components. …”
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Attention Score-Based Multi-Vision Transformer Technique for Plant Disease Classification by Eu-Tteum Baek

“…Extensive experiments conducted on apple, grape, and tomato leaf disease datasets demonstrate the model’s superior performance, achieving over 99% accuracy and significantly improving <i>F</i>1 scores compared to traditional methods such as ResNet, VGG, and MobileNet. …”
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Delayed Titanium Hypersensitivity and Retained Foreign Body Causing Late Abdominal Complications by Molly S. Jain, Sivasthikka Lingarajah, Enkhmaa Luvsannyam, Manoj Reddy Somagutta, Ravi Pankajbhai Jagani, Jay Sanni, Enomfon Ebose, Frederick M. Tiesenga, Juaquito M. Jorge

“…This patient is concurrently found to have a retained pigtail catheter in the cecum discovered incidentally through radiology. …”
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Azygos and right superior intercostal vein injury secondary to blunt trauma: a case report by Nima Yaftian, Benjamin Dunne, Phillip Antippa

“…When there is high drainage output from a right-sided intercostal catheter, an azygos injury must be considered in the differential diagnosis. …”
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Concomitant Persistent Left Superior Vena Cava and Horseshoe Kidney by Faraz Jaffer, Vijay Chandiramani

“…A patient with hepatitis C cirrhosis awaiting transplant presented with worsening liver dysfunction, diagnosed with acute renal failure secondary to hepatorenal syndrome, and required X-ray fluoroscopy guided tunneled venous catheter placement for hemodialysis. Review of imaging studies demonstrated coexistence of PLSVC and HSK. …”
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Bilateral lower extremity amputation in a transgender female on estrogen therapy suffering from recurrent, medication-resistant arterial thrombi by Mitchell C. McDaniels, BS, Patrick D. Conroy, MD, Philip M. Batista, MD

“…Despite multiple endovascular and surgical interventions, including bypass grafting and catheter-directed thrombolysis, the patient developed recurrent thrombotic events even while on anticoagulation therapy. …”
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Left Subclavian Artery Pseudoaneurysm after a Traffic Accident: A Case Report by J. Enamorado-Enamorado, J. J. Egea-Guerrero, J. Revuelto-Rey, E. Gordillo-Escobar, C. Herrera-Melero

“…Most injuries were related to iatrogenic manipulation with catheters for canalization of central lines. In rare cases, this injury has been described secondary to a blunt trauma. …”
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T-Dagum: A Way of Generalizing Dagum Distribution Using Lomax Quantile Function by Matthew I. Ekum, Muminu O. Adamu, Eno E. Akarawak

“…The new generated distributions would have more parameters but would have high flexibility in handling bimodality in datasets and it is a weighted hazard function of the baseline distribution. …”
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Small Object Detection Algorithm Based on Feature Pyramid-Enhanced Fusion SSD by Haotian Li, Kezheng Lin, Jingxuan Bai, Ao Li, Jiali Yu

“…Experimental results on the Pascal VOC 2007 and 2012 datasets confirm that there is a 8.2% improvement in mAP compared to the original SSD and some existing algorithms.…”
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An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases by Md. Rezaul Karim, Md. Mamunur Rashid, Byeong-Soo Jeong, Ho-Jin Choi

“…In this paper, we propose an efficient approach to mining maximal contiguous frequent patterns from large DNA sequence datasets. The experimental results show that our proposed approach is memory-efficient and mines maximal contiguous frequent patterns within a reasonable time.…”
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Pathway Detection from Protein Interaction Networks and Gene Expression Data Using Color-Coding Methods and A* Search Algorithms by Cheng-Yu Yeh, Hsiang-Yuan Yeh, Carlos Roberto Arias, Von-Wun Soo

“…In the experiments, we tested our methods by applying to two datasets: yeast and human prostate cancer networks and gene expression data set. …”
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A Survey of Deep Anomaly Detection in Multivariate Time Series: Taxonomy, Applications, and Directions by Fengling Wang, Yiyue Jiang, Rongjie Zhang, Aimin Wei, Jingming Xie, Xiongwen Pang

“…We also organized the public datasets for time series anomaly detection along with their respective application domains. …”
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An Experimental Validation of Phase-Based Motion Magnification for Structures with Developing Cracks and Time-Varying Configurations by M. Civera, L. Zanotti Fragonara, P. Antonaci, G. Anglani, C. Surace

“…The study presents three experimental datasets: a box beam with multiple saw cuts of different lengths and angles, a beam with a full rectangular cross section and a mass added at the tip, and the spar of a prototype High-Aspect-Ratio wing. …”
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