Dynamic Route Guidance in Vehicle Networks by Simulating Future Traffic Patterns by David Neiman, Zachary Rubinstein, Stephen Smith

“…Roadway congestion leads to wasted time and money and environmental damage. Since adding more roadway capacity is often not possible in urban environments, it is becoming more important to use existing road networks more efficiently. …”
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Integration of Hash Encoding Technique with Machine Learning for Employee Turnover Prediction by Ahya Radiatul Kamila, Johanes Fernandes Andry, Francka Sakti Lee, Felliks F. Tampinongkol

“…Among these features, some are of object data type. Since machine learning algorithms generally cannot work directly with object-type features, the use of hash encoding is proposed. …”
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A Survey Design for a Sensitive Binary Variable Correlated with Another Nonsensitive Binary Variable by Jun-Wu Yu, Yang Lu, Guo-Liang Tian

“…Likelihood-based inferences including maximum likelihood estimates via the expectation-maximization algorithm, asymptotic confidence intervals, and bootstrap confidence intervals of parameters of interest are derived. …”
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Detection of Pathogenic Microorganisms by Fusion of Recursive Feature Pyramid by HUANGZhitian, XIEYining, ZHAOJing, HEYongjun

“…Experiments show that the mAP of the algorithm in this paper on the pathogenic microorganism dataset has reached 74. 9% , which is 4. 9% higher than the baseline network YOLOv5 , and the mAP of the small target Trichomonas has also increased by 6. 2% . …”
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Design Optimization of the Multi-layer Switched Reluctance Motor to Minimize Torque Ripple and Maximize Average Torque by Payam Vahedi, Babak Ganji, Seyed Ebrahim Afjei

“…The optimal values of these parameters are determined here using the design of experiments (DOE) algorithm. Having the instantaneous torque waveform of the motor is necessary for the accurate calculation of torque ripple. …”
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Online ECG Biometrics for Streaming Data with Prototypes Learning and Memory Enhancement by Kuikui Wang, Na Wang

“…Furthermore, we design a novel and efficient online optimization algorithm to minimize the overall loss function. Extensive experiments conducted on two widely used datasets demonstrate the effectiveness of our proposed method.…”
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Early repolarization syndrome in modern interpretation by T. V. Ashcheulova, N. M. Herasymchuk, I. V. Sytina

“…The history of the development of early repolarization syndrome has been shown since 1936 to present time, which was first described by R. …”
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Stochastic Gradient Descent for Kernel-Based Maximum Correntropy Criterion by Tiankai Li, Baobin Wang, Chaoquan Peng, Hong Yin

“…Maximum correntropy criterion (MCC) has been an important method in machine learning and signal processing communities since it was successfully applied in various non-Gaussian noise scenarios. …”
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Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach by Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Alice Leung, Thomas La Porta

“…Many traditional methods are not feasible for such analysis since they cannot describe the complex atypical events. …”
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Identifying Behaviours Indicative of Illegal Fishing Activities in Automatic Identification System Data by Yifan Zhou, Richard Davies, James Wright, Stephen Ablett, Simon Maskell

“…Experiments involving multiple machine learning algorithms showed that such port visits are informative features when inferring ship type. …”
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Demand Prediction of Railway Emergency Resources Based on Case-Based Reasoning by Jianping Sun, Hantao Cao, Biao Geng, Zhaoping Tang, Xiaopeng Li

“…In order to avoid the problem of missing attribute in the traditional nearest neighbor algorithm, a global case similarity calculation method based on structural similarity and attribute similarity is designed. …”
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Fair allocation of fixed cost in one- and two-stage systems using data envelopment analysis by Faranak Hosseinzadeh Saljooghi, Ali reza Pishgooy, Farhad Hamidi

“…In cost allocation, in addition to the approach of maintaining and increasing efficiency, attention should also be paid to the competitive conditions and cooperation. Since cross-efficiency in data envelopment analysis handles these conditions of competition and cooperation between units well.Findings: In this article, using the improved cross-efficiency and the proposed algorithm, we allocate a unique fixed cost to the units under evaluation in single-stage and two-stage supply chain systems fairly. …”
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Artificial Intelligence in Breast Reconstruction: A Narrative Review by Andrei Iulian Rugină, Andreea Ungureanu, Carmen Giuglea, Silviu Adrian Marinescu

“…However, challenges remain, including data quality, safety, algorithm transparency, and clinical integration. Despite these shortcomings, AI has the potential to revolutionize breast reconstruction by improving preoperative planning, surgical precision, operative efficiency, and patient outcomes. …”
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GENDER ASPECTS FOR THE MANAGEMENT OF PERSISTENT PULMONARY HYPERTENSION IN PREMATURE INFANTS by Т. Клименко, М. Кононович

“…The aim of the study: To improve the effectiveness of management of premature infants with persistent pulmonary hypertension with asphyxia and respiratory distress syndrome based on the development of an algorithm for a differentiated approach to the diagnosis and treatment of pulmonary hypertension, taking into account the levels of oxidative stress as determined by the urinary 8-hydroxy-2-deoxyguanosine and gender differences. …”
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Watershed Health Prediction based on Surface Water Quality Variables (Case Study: Taleghan Watershed) by Payam Ebrahimi, Ali Salajegheh, Mohsen Mohseni Saravi, Arash Malekian, Amir Sadoddin

“…In this study, the gene expression algorithm for modeling water quality data and its changes has been investigated. …”
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Autonomous and adaptive congestion control for machine-type communication in cellular network by Qi Pan, Xiangming Wen, Zhaoming Lu, Wenpeng Jing, Haijun Zhang

“…Machine-type communications have suffered serious congestion, overload, and poor quality of service problems in cellular networks, since the cellular networks are designed for human-to-human communications. …”
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Perfusion Computed Tomography in the Diagnosis of Colonic Diverticular Disease and its Complications by M. V. Timerbulatov, A. F. Itkulov, D. E. Baikov, A. A. Ibatullin, M. M. Khafizov

“…PS values in acute diverticulitis, as compared to the intact intestinal wall, increased by 1.7 times, and in malignancies — 3.8 times.Conclusion. Since PCT is able to detect the difference of microcirculation parameters in inflammatory and malignant processes, it can be used in the diagnostic algorithm to determine further treatment strategy.…”
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Fast and Adaptive Multi-Agent Planning under Collaborative Temporal Logic Tasks via Poset Products by Zesen Liu, Meng Guo, Weimin Bao, Zhongkui Li

“…Instead, an adaptive planning algorithm is proposed, which computes the product of relaxed partially ordered sets (R-posets) on-the-fly and assigns these subtasks to the agents subject to the ordering constraints. …”
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Research Progress on Non-destructive Detection Techniques for Potatoes Quality by YANG Guang-hui, LI Hong-ling, ZHANG Hua, LI Hui, LIU Xiao-long, JIA Shang-yun, HU Bo, SHANG Yi-bo

“…Since the “14th Five-Year Plan”, with the continuous deepening of the “three rural work”, the quality inspection and grading of potatoes have played a decisive role in the expansion of the potato industry and the development of the processing industry. …”
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Safety helmet detection methods in heavy machinery factory by Liu Baoju, Wei Xiangqian, Chen Qingshan, Liu Jiaqi, Chen Ye, Yu Peng, Lei shi, Hu Yongfeng

“…Abstract In heavy machinery factories, accurately detecting whether workers correctly wear safety helmets is important to their well-being. Since manual inspection and video surveillance are prone to misjudgment and omission, designing a fast and intelligent algorithm essential for modern factory safety management. …”
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