From Classic to Cutting-Edge: A Near-Perfect Global Thresholding Approach with Machine Learning by Nicolae Tarbă, Costin-Anton Boiangiu, Mihai-Lucian Voncilă

“…This paper introduces a global thresholding method that uses the results of classical global thresholding algorithms and other global image features to train a regression model via machine learning. …”
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Security-Enhanced Lightweight Authentication Key-Agreement Protocol for Unmanned Aerial Vehicle Communication by Zhoucan He, Yilong Zheng, Sisi Chen, Zhongze Du, Shuyuan Liu, Kailong Zhang

“…The traditional solution to this problem is to design an authenticated key-agreement protocol between unmanned aerial vehicles and ground stations. …”
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A Novel Energy Control Digital Twin System with a Resource-Aware Optimal Forecasting Model Selection Scheme by Jin-Woo Kwon, Anwar Rubab, Won-Tae Kim

“…The system dynamically selects optimal forecasting models by integrating statistical features of the input time series with available resources. …”
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Relation Semantic Guidance and Entity Position Location for Relation Extraction by Guojun Chen, Panfeng Chen, Hui Li, Xibin Wang, Xin Zhou, Aihua Yu, Xingzhi Deng, Qi Wang

“…It then incorporates an entity locator to harness additional positional features, thereby, enhancing the capability of the model to pinpoint entity start and end tags. …”
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A DEM super resolution reconstruction method based on normalizing flow by Jie Yu, Yangtenglong Li, Xuan Bai, Ronghao Yang, Mengxue Cui, Haohao Wu, Zheng Li, Fangzheng Su, Ze Li, Taohuai Liang, Hongliang Yan

“…At present, DEM super-resolution reconstruction methods mainly solve the problem by designing a more sophisticated network. …”
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Glass Half Empty or Half Full: Single-Session Endoscopic Removal of Multiple Glass Vials in the Upper Gastrointestinal Tract Using a Novel Approach by Raghav Bassi, Gabriel S. Silva, Tony S. Brar, Yaseen Perbtani

“…Foreign body ingestion is a commonly encountered problem clinically with management targeted at early radiological imaging to identify high-risk features that can increase the risk of perforation. …”
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Issues of diagnostic search of soft tissue sarcoma by A. N. Sergeev, D. A. Maksimov, A. M. Morozov, M. A. Belyak, E. V. Penyaz', M. O. Popova

“…Since it is absolutely impossible to determine the clinical features of the presented sarcoma, soft tissue tumors showing any of the following signs are considered malignant until the opposite is proven: increasing in size, >5 cm, deeply located and/or painful. …”
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TCE-YOLOv5: Lightweight Automatic Driving Object Detection Algorithm Based on YOLOv5 by Han Wang, Zhenwei Yang, Qiaoshou Liu, Qiang Zhang, Honggang Wang

“…Therefore, a lightweight object detection algorithm based on YOLOv5 is proposed to solve the problem of excessive network parameters in automatic driving scenarios. …”
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Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning by Yi Guo, Qianqian Wang, Bingliang Hu, Xueming Qian, Haibo Ye

“…Then, the band selection problem was formulated as a Markov Decision Process (MDP), where the agent learned an optimal band selection strategy through interactions with the environment. …”
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The Hybrid Model: Prediction-Based Scheduling and Efficient Resource Management in a Serverless Environment by Louai Shiekhani, Hui Wang, Wen Shi, Jiahao Liu, Yuan Qiu, Chunhua Gu, Weichao Ding

“…However, the cold start problem remains a major challenge, not only because of the substantial latency it introduces to function execution time, but also because frequent cold starts lead to poor resource utilization, especially during workload fluctuations. …”
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Harnessing natural polymers and nanoparticles: Synergistic scaffold design for improved wound healing by Anitha S, Nandini Robin Nadar, Srividya Shivakumar, Sharma S C, Siddharth P, Surekha Varalakshmi V, Rajesh Lenka, Rajadurai S

“…Hence, early clinical intervention becomes crucial in managing the problem. Wound care involves many strategies from simple local dressing to complex debridement techniques such as bioactive dressings and skin grafting. …”
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Factors influencing injury severity in three-wheeled motorized rickshaw and motorcycle collisions by Zia Ur Rehman, Jiang Chaozhe, Emmanuel Kofi Adanu, Yahya Almarhabi, Arshad Jamal

“…The model outcomes demonstrate that major injuries (severe and fatal) in 3-WMR and motorcycle collisions are affected by numerous factors, including road features, driver characteristics, temporal factors and environmental factors. …”
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Improved weighted sum estimation of total radiated power at W7-X by G. Partesotti, F. Reimold, A. Tsikouras, D. Zhang, G. Kawamura, B.J. Peterson, the W7-X Team

“…First, we generate synthetic radiated power phantoms with characteristic W7-X radiation features to derive a set of optimized line-of-sight weights. …”
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Hyaluronic acid-tailored prodrug nanoplatforms for efficiently overcoming colorectal cancer chemoresistance and recurrence by synergistic inhibition of cancer cell stemness by Xirui Duan, Hailong Tian, Peilan Peng, Ping Zhou, Ning Ding, Guowen Liu, Gary T. Bentley, Canhua Huang, Jun Yang, Ke Xie

“…Abstract A subset of residual colorectal cancer (CRC) cells with stemness features exhibits a transient adaptive resistance after chemotherapy, limiting durable therapeutic benefits and even accelerating tumor recurrence. …”
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NAS-CRE: Neural Architecture Search for Context-Based Relation Extraction by Rongen Yan, Dongmei Li, Yan Wu, Depeng Dang, Ye Tao, Shaofei Wang

“…In this paper, we formally define the context-based relation extraction problem and propose a solution utilizing neural architecture search (NAS) to optimize RNN. …”
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Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field by Shuangshuang Zhang, Shuangshuang Zhang, Xiangdong Yu, Xiuli Gao, Donglin Li, Shijun Huang

“…The model can be substituted into the static and dynamic characteristic parameters at the same time to complete the importance ranking of classification features and model training, and realize the dynamic and static integration classification of Sulige gas well. …”
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Clinical and laboratory reatures in different periods of pseudotuberculosis infection in children in the territory of the Novosibirsk region by E. I. Krasnova, G. S. Karpovich, A. V. Vasyunin, I. V. Kuimova, E. N. Kibireva, E. Yu. Ermolovich, V. S. Selivanov, A. V. Zabela, A. E. Shestakov

“…Clinical and laboratory features of the course of pseudotuberculosis were identified in the age aspect (by comparing the obtained indicators in two clinical groups: children under 3 years old and children older than 3 years). …”
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UnidecNMR: automatic peak detection for NMR spectra in 1-4 dimensions by Charles Buchanan, Gogulan Karunanithy, Olga Tkachenko, Michael Barber, Michael T. Marty, Timothy J. Nott, Christina Redfield, Andrew J. Baldwin

“…While many algorithms are available to tackle this problem, their performance tends to be inferior to that of an experienced user. …”
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Transfer Learning and Semisupervised Adversarial Detection and Classification of COVID-19 in CT Images by Ariyo Oluwasanmi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen

“…In our proposed model, we explore the benefit of transfer learning as a means of resolving the problem of inadequate dataset and the importance of semisupervised generative adversarial network for the extraction of well-mapped features and generation of image data. …”
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А САSЕ OF SPONTANEOUS CORONARY ARTERY DISSECTION (REVIEW AND CASE REPORT) by N. T. Vatutin, G. G. Taradin, D. V. Bort, A. V. Dmitriev, I. V. Kanisheva, I. A. Sidorenko

“…A special attention is paid to the features of diagnostic and therapeutic measures in pregnant and breast-feeding patients. …”
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