Left Ventricle Segmentation in Cardiac MR Images via an Improved ResUnet by Shengzhou Xu, Haoran Lu, Shiyu Cheng, Chengdan Pei

“…In the MICCAI 2009 LV segmentation challenge test dataset, the percentages of “good” contours, dice metric, and average perpendicular distance of endocardium (epicardium) are 99.12%±2.29%100%±0%,0.93±0.02 0.96±0.01,and 1.60±0.42 mm 1.37±0.23 mm, respectively. …”
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An Enhanced Sine Cosine Algorithm for Feature Selection in Network Intrusion Detection by zahra asgari varzaneh, soodeh hosseini

“…Based on the NSL-KDD dataset, the results show that compared to other competing algorithms, the ISCA performs better than other metaheuristic algorithms in terms of both the number of features selected and the accuracy of classification.…”
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DEGRADACIÓN DE TIERRAS Y TELEDETECCIÓN EN PLANICIES PRÓXIMAS A LA LOCALIDAD DE CENTENARIO, PROVINCIA DE NEUQUÉN by Luis Bertani, Oscar Peña

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Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute by Shaonian Huang, Dongjun Huang, Mansoor Ahmed Khuhro

“…Extensive experiments on challenging datasets show that the proposed method achieves preferable results in the application of crowd motion segmentation and abnormal behavior detection.…”
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Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning by Zheng-Yong Zhang, Jian-Sheng Su, Huan-Ming Xiong

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Selection and Penalty Strategies for Genetic Algorithms Designed to Solve Spatial Forest Planning Problems by Matthew P. Thompson, Jeff D. Hamann, John Sessions

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Fault Diagnosis of High-Speed Train Bogie Based on Synchrony Group Convolutions by Yunpu Wu, Weidong Jin, Junxiao Ren, Zhang Sun

“…The effectiveness of the method is validated on high-speed train fault dataset. Experiments show that the proposed model performs better than normal convolutions and normal group convolutions on this task, which achieves an accuracy of 98.27% (σ = 1.73) with good computational efficiency.…”
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AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

“…The developed multimodal biometrics system was evaluated on a dataset of 700 iris and facial images, the training database contain 600 iris and face images, 100 iris and face images were used for testing. …”
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Modeling and Analysis of Static and Dynamic Characteristics of Nonlinear Seat Suspension for Off-Road Vehicles by Zhenhua Yan, Bing Zhu, Xuefei Li, Guoqiang Wang

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Capsule neural network and adapted golden search optimizer based forest fire and smoke detection by Luling Liu, Li Chen, Mehdi Asadi

“…Testing this model on wildfire smoke imagery and the BowFire dataset reveals that the proposed methodology outperformed traditional feature selection and classification methods. …”
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A Shared Interest Discovery Model for Coauthor Relationship in SNS by Xin An, Shuo Xu, Yali Wen, Mingxing Hu

“…Finally, extensive experimental results on NIPS dataset indicate that our coAT model is feasible and efficient.…”
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Sparse Graph Embedding Based on the Fuzzy Set for Image Classification by Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng, Guowei Yang

“…Experimental results and analysis indicate that the proposed algorithm is more effective than other algorithms in the UCI wine dataset and ORL, Yale, and AR standard face databases.…”
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Application of multiparametric methods of data science for the classification of Russian subjects on the basis of subsidisation by A. V. Kuznetsova, L. R. Borisova, V. M. Khadartsev

“…The paper analyses the socio-economic and demographic indicators of the Russian regions applying methods that identify patterns in a multiparametric dataset. The methods of traditional statistical analysis and machine learning, including the author’s ones, are used. …”
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Lane-Changing Behavior Prediction Based on Game Theory and Deep Learning by Shuo Jia, Fei Hui, Cheng Wei, Xiangmo Zhao, Jianbei Liu

“…By using an open-source traffic dataset to train and verify the proposed model, the verification results show that the prediction accuracy can reach 94.56% within 0.4 s of lane-changing operation and that the model can achieve timely and accurate prediction of the lane-changing behavior of vehicles.…”
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Improved Security Patch on Secure Communication among Cell Phones and Sensor Networks by Ndibanje Bruce, Tae-Yong Kim, Hoon Jae Lee

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Effects of the Scientific Argumentation Based Learning Process on Teaching the Unit of Cell Division and Inheritance to Eighth Grade Students by Ceyda Balci, Nilgun Yenice

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TomatoGuard-YOLO: a novel efficient tomato disease detection method by Xuewei Wang, Jun Liu

“…Experimental evaluations on a dedicated tomato disease detection dataset demonstrate that TomatoGuard-YOLO achieves an outstanding mAP50 of 94.23%, an inference speed of 129.64 FPS, and an ultra-compact model size of just 2.65 MB. …”
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Centering Pregnancy in Missouri: A System Level Analysis by Pamela K. Xaverius, Mary Alice Grady

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One-Step Leapfrog LOD-BOR-FDTD Algorithm with CPML Implementation by Yi-Gang Wang, Yun Yi, Bin Chen, Hai-Lin Chen, Kang Luo, Run Xiong

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Breast Cancer Prediction Using the Affinity Propagation Clustering with Regard to the Weights of Variables by Sina Dami, Zeinab Hatamchuri

“…Then the number of clusters as a new variable is added to the data, and in the next step, the block algorithm is implemented on the modified dataset containing the main data and the number of clusters. …”
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