SaliencyMix+: Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation by Hajeong Lee, Zhixiong Jin, Jiyoung Woo, Byeongjoon Noh

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Development and validation of a nomogram for predicting immune-mediated colitis in lung cancer patients treated with immune checkpoint inhibitors: a retrospective cohort study in C... by Qianjie Xu, Xiaosheng Li, Yuliang Yuan, Guangzhong Liang, Zuhai Hu, Wei Zhang, Ying Wang, Haike Lei

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Smart Filter Performance Monitoring System by Chenxing Pei, Weiqi Chen, Qisheng Ou, David Y. H. Pui

“…Moreover, filter monitoring data can establish a database for researchers to validate the filter models or train a machine learning model for filter performance prediction. …”
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A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading by Xiaoming Wang, Xinbo Zhao, Jinchang Ren

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Using the five-factor questionnaire to study the personality of a specialist-cynologist of the security agencies of the Russian Federation by Е. А. Kusakina

“…The results of a focused interview with experienced dog handlers with extensive experience in service cynology have formed the basis for constructing a psychograph for a specialist in the profile in question. Using the “Big Five” methodology, it is possible to identify the characteristic features of cadets studying in the field of training “Animal Science”, profile “Cynology”, and employees of canine services of the law enforcement agencies of the RF. …”
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Speech-based personality prediction using deep learning with acoustic and linguistic embeddings by Martin Lukac

“…Abstract This study introduces a novel method for predicting the Big Five personality traits through the analysis of speech samples, advancing the field of computational personality assessment. …”
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Unraveling nitrogen metabolism, cold and stress adaptation in polar Bosea sp. PAMC26642 through comparative genome analysis by Anamika Khanal, Anamika Khanal, So-Ra Han, So-Ra Han, So-Ra Han, Jun Hyuck Lee, Tae-Jin Oh, Tae-Jin Oh, Tae-Jin Oh, Tae-Jin Oh

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Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…From this assertion, the effect of training data sizes in classification tasks cannot be overemphasized. …”
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A New Multiple-Distribution GAN Model to Solve Complexity in End-to-End Chromosome Karyotyping by Yirui Wu, Xiao Tan, Tong Lu

“…With significant development of Internet of medical things (IoMT) and cloud-fog-edge computing, medical industry is now involving medical big data to improve quality of service in patient care. …”
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Feature Fusion Model Using Transfer Learning and Bidirectional Attention Mechanism for Plant Pipeline Leak Detection by Yujin Han, Yourak Choi, Jonghyuk Lee, Ji-Hoon Bae

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Fuzzy Comprehensive Evaluation Model of Project Investment Risk Based on Computer Vision Technology by Hongjian Wang

“…In addition, this paper also trains and tests the risk evaluation model of this research through the support vector machine classification algorithm, the real-time embedded system, and the average random consistency index. …”
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An atmospheric correction method for Himawari-8 imagery based on a multi-layer stacking algorithm by Menghui Wang, Donglin Fan, Hongchang He, You Zeng, Bolin Fu, Tianlong Liang, Xinyue Zhang, Wenhan Hu

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Detecting and Mapping Peatlands in the Tibetan Plateau Region Using the Random Forest Algorithm and Sentinel Imagery by Zihao Pan, Hengxing Xiang, Xinying Shi, Ming Wang, Kaishan Song, Dehua Mao, Chunlin Huang

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Teaching Reform of “Work-Integrated Learning” in International Trade Practice from the Perspective of BDaaS by Yiting Zhu

“…To improve the reform performance of international trade practice, the method with perspective of big data is researched in this study. The international trade professional is developing rapidly to keep pace with social development gradually. …”
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Multi-Media Tools and Service Delivery in Academic Libraries: A Case Study of Bishop Berham University. by Barigye, Damas

“…Credit institutions that have facilitated the growth and performance of SMEs provide affordable interest rates; and train their clients on the relevancy of keeping financial information and, how to use the acquired loan for the intended purpose. …”
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Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

“…Abstract  Congestion is one of the events that often occurs in big cities. This can be detrimental to road users, therefore it is necessary to detect traffic events accurately and efficiently. …”
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A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

“…Additionally, to address the serious issues of imbalanced classes in TCP and large-scale heterogeneous big data, we propose an effective data sampling approach in data preparation to facilitate model training. …”
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A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price by Lei Wu, Yu Zhang, Yongchang Wei, Fangyu Chen

“…This framework can automatically obtain the values of spatial factors affecting land price from GIS and generate training set data for training the neural network to identify the complex relationship between all kinds of factors and benchmark land prices. …”
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Teknologi Elektronis Pengkajian Nyeri Kronis pada Anak-anak dan Remaja by Dwi Novrianda

“… Chronic pain in children and adolescents is a problem that can affect every aspect of individual functions. The big change in the quality of life of a child dealing with chronic pain. …”
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Research on Personal Loan Default Risk Assessment Based on Machine Learning by Liu Guangsen

“…In the present era of rapid development of the Internet and big data, the scale of personal loans and the complexity of personal credit data are growing rapidly. …”
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