Enhancing Surveillance Video Abnormal Behavior Detection Using Deep Convolutional Generative Adversarial Network With GRU Model by Setegn Asnakew Kasegn, Ronald Waweru Mwangi, Michael Kimwele, Surafel Lemma Abebe

“…ABSTRACT Automatic detection of unusual behavior in videos is a challenging task. …”
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Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms by Ahmad Zainul Fanani, Arry Maulana Syarif, Ika Novita Dewi, Abdul Karim

“…The model successfully generates new bars and lines with notation sequences not found in the original dataset, indicating creative variation. …”
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Nanopore-based random genomic sampling for intraoperative molecular diagnosis by Francesco E. Emiliani, Abdol Aziz Ould Ismail, Edward G. Hughes, Gregory J. Tsongalis, George J. Zanazzi, Chun-Chieh Lin

“…Results In our retrospective cohort of 26 malignant brain tumors, iSCORED demonstrated 100% concordance in CNV detection, including chromosomal alterations and oncogene amplifications, when compared to clinically validated assays such as Next-Generation Sequencing and Chromosomal Microarray. …”
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Analysis of seismicity in the Haicheng-Xiuyan region based on dense array data and deep learning methodsKey points by Zemin Liu, Weitao Wang, Lu Li, Zihao Li, Ziye Yu, Songyong Yuan, Lanshu Bai

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Research on attack scenario reconstruction method based on causal knowledge discovery by Di FAN, Jing LIU, Jun-xi ZHUANG, Ying-xu LAI

“…In order to discover the attack pattern from the distributed alert data and construct the attack scene,a method of finding the attack scene from the alert data generated by intrusion detection system was studied.Current research suffer from the problem that causal knowledge is complex and difficult to understand and it is difficult to automatically acquire the problem.An attack scenario reconstruction method based on causal knowledge discovery was proposed.According to the process of KDD,the sequence set of attack scenes was constructed by the correlation degree of IP attributes among alert data.Time series modeling was adopted to eliminate the false positives to reduce the attack scene sequence.Finally,causal relationship between the alert data was found by using probability statistics.Experiments on the DARPA2000 intrusion scenario specific data sets show that the method can effectively identify the multi-step attack mode.…”
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A Dynamic Kalman Filtering Method for Multi-Object Fruit Tracking and Counting in Complex Orchards by Yaning Zhai, Ling Zhang, Xin Hu, Fanghu Yang, Yang Huang

“…With the rapid development of agricultural intelligence in recent years, automatic fruit detection and counting technologies have become increasingly significant for optimizing orchard management and advancing precision agriculture. …”
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Sleeping and Eating Behavior Recognition of Horses Based on an Improved SlowFast Network by Yanhong Liu, Fang Zhou, Wenxin Zheng, Tao Bai, Xinwen Chen, Leifeng Guo

“…Additionally, YOLOX is employed to replace the original target detection algorithm in the SlowFast network, reducing recognition time during the video analysis phase and improving detection efficiency. …”
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Improving Generalization of ML-Based IDS With Lifecycle-Based Dataset, Auto-Learning Features, and Deep Learning by Didik Sudyana, Ying-Dar Lin, Miel Verkerken, Ren-Hung Hwang, Yuan-Cheng Lai, Laurens D'Hooge, Tim Wauters, Bruno Volckaert, Filip De Turck

“…This study emphasizes the improvement of generalization through a novel composite approach involving the use of a lifecycle-based dataset (characterizing the attack as sequences of techniques), automatic feature learning (auto-learning), and a CNN-based deep learning model. …”
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Clinical and genetic characteristics of type 7 distal arthrogryposis caused by a pathogenic variant in the <i>MYH8</i> gene by I. V. Sharkova, S. S. Nikitin, T. V. Markova, A. E. Voskanyan, E. A. Melnik, O. A. Shchagina, E. L. Dadali

“…Confirmation of the pathogenicity of the identified variants was carried out using automatic Sanger sequencing.As a result of molecular genetic analysis in a father and son with clinical manifestations of type 7 distal arthrogryposis, a heterozygous c.2021G&gt;A variant in exon 18 of the MYH8 gene, which was previously described in all patients published in the literature, was detected, leading to the replacement of p.Arg674Gln(NM_002472.2) in a protein molecule. …”
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An Original Approach for Quantification of Blood Vessels on the Whole Tumour Section by Nga Tran Kim, Nicolas Elie, Benoît Plancoulaine, Paulette Herlin, Michel Coster

“…Introduction in routine practice requires a fast, reproducible and reliable automatic image processing. In this study we present an original procedure combining a slide scanner image acquisition and a fully automatic image analysis sequence. …”
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Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model by Sara M. M. Abohashish, Hanan H. Amin, E. I. Elsedimy

“…This patching sequence allows the modeling system to analyze the local pattern in the image. …”
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An evolutionary model-based algorithm for accurate phylogenetic breakpoint mapping and subtype prediction in HIV-1. by Sergei L Kosakovsky Pond, David Posada, Eric Stawiski, Colombe Chappey, Art F Y Poon, Gareth Hughes, Esther Fearnhill, Mike B Gravenor, Andrew J Leigh Brown, Simon D W Frost

“…We present a model-based phylogenetic method for automatically subtyping an HIV-1 (or other viral or bacterial) sequence, mapping the location of breakpoints and assigning parental sequences in recombinant strains as well as computing confidence levels for the inferred quantities. …”
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A Method of Modal Parameter Identification for Wind Turbine Blade Based on Binocular Dynamic Photogrammetry by Wenyun Wang, Xuejun Li, Anhua Chen

“…The identification of operational modal parameters of a wind turbine blade is fundamental for online damage detection. In this paper, we use binocular photogrammetry technology instead of traditional contact sensors to measure the vibration of blade and apply the advanced stochastic system identification technique to identify the blade modal frequencies automatically when only output data are available. …”
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UAV attitude estimation based on MARG and optical flow sensors using gated recurrent unit by Xiaoqin Liu, Xiang Li, Qi Shi, Chuanpei Xu, Yanmei Tang

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Epilepsy EEG Seizure Prediction Based on the Combination of Graph Convolutional Neural Network Combined with Long- and Short-Term Memory Cell Network by Zhejun Kuang, Simin Liu, Jian Zhao, Liu Wang, Yunkai Li

“…While enriching the input of LSTM, it also makes full use of the information hidden in the EEG signals. In the automatic detection of epileptic seizures based on neural networks, due to the strong non-stationarity and large background noise of the EEG signal, the analysis and processing of the EEG signal has always been a challenging research. …”
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A Robust Identification of the Protein Standard Bands in Two-Dimensional Electrophoresis Gel Images by Serackis Artūras, Matuzevičius Dalius, Navakauskas Dalius, Šabanovič Eldar, Katkevičius Andrius, Plonis Darius

“…The prior characterization of the unknown protein in two-dimensional electrophoresis gel images is performed according to the molecular weight and isoelectric point of each protein spot estimated from the gel image before further sequence analysis by mass spectrometry. The paper presents a method for automatic and robust identification of the protein standard band in a two-dimensional gel image. …”
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ENZYMAP: exploiting protein annotation for modeling and predicting EC number changes in UniProt/Swiss-Prot. by Sabrina de Azevedo Silveira, Sabrina de Azevedo Silveira, Raquel Cardoso de Melo-Minardi, Carlos Henrique da Silveira, Marcelo Matos Santoro, Wagner Meira

“…Our proposal is intended to be an automatic complementary method (that can be used together with other techniques like the ones based on protein sequence and structure) that helps to improve the quality and reliability of enzyme annotations over time, suggesting possible corrections, anticipating annotation changes and propagating the implicit knowledge for the whole dataset.…”
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Self-Supervised Enhancement Method for Multi-Behavior Session-Based Recommendation by Zhen Zhang, Jingai Zhang, Jintao Chen, Yuzhao Huang, Xiaoyang Huang

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Visual Three-Dimensional Reconstruction of Aortic Dissection Based on Medical CT Images by Xiaojie Duan, Dandan Chen, Jianming Wang, Meichen Shi, Qingliang Chen, He Zhao, Ruixue Zuo, Xiuyan Li, Qi Wang

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Scale selection and machine learning based cell segmentation and tracking in time lapse microscopy by Nagasoujanya Annasamudram, Jian Zhao, Olaitan Oluwadare, Aashish Prashanth, Sokratis Makrogiannis

“…We evaluated cell segmentation, detection, and tracking performance of our method on time-lapse sequences of the Cell Tracking Challenge (CTC). …”
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