High‐dimensional Bayesian optimization for metamaterial design by Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu

“…Abstract Metamaterial design, encompassing both microstructure topology selection and geometric parameter optimization, constitutes a high‐dimensional optimization problem, with computationally expensive and time‐consuming design evaluations. …”
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Coronavirus Infection an Obese Patient (Literature Review) by E. I. Panova, M. S. Pimankina

“…In the modern world the problem of obesity in combination with new coronavirus infection has acquired a special danger. …”
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Assessing the Relationship Between Production and Land Transformation for Chilean Copper Mines Using Satellite and Operational Data by Junbin Xiao, Tim T. Werner, Takeshi Komai, Kazuyo Matsubae

“…This reveals a significant problem in the historical practice of using averages from life cycle assessment (LCA) databases. …”
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An integrated stacked convolutional neural network and the levy flight-based grasshopper optimization algorithm for predicting heart disease by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Majad Mansoor, Filippo Sanfilippo

“…The SCNN provides robust feature extraction, while LFGOA enhances the model by optimizing hyperparameters, improving classification accuracy, and reducing overfitting. …”
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A Deep Shrinkage Network for Direction-of-Arrival Estimation with Sparse Prior by Lei Zhou, Shihong Zhou, Yubo Qi, Lixin Wu, Yannick Benezeth

“…Current methods struggle with this problem in passive detection scenarios. To address these limitations, this study proposes a deep learning (DL)-based DOA estimation framework leveraging sparse representation. …”
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PolyReg: Autoregressive Building Outline Regularization via Masked Attention Sequence Generation by Longfei Cui, Chao Li, Xin Chen, Xiao Wang, Haizhong Qian

“…In the first stage, the SegFormer model is used to extract image features, effectively capturing global context information. …”
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Runout prediction of potential landslides based on the multi-source data collaboration analysis on historical cases by Jun Sun, Yu Zhuang, Ai-guo Xing

“…Numerical methods have been widely used to predict the landslide runout but a fundamental problem remained is how to determine the reliable numerical parameters. …”
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The Course of Alcoholic Cirrhosis of The Liver in a Patient with COVID-19 by E. Y. Kudashkina, L. Y. Ilchenko, I. G. Fedorov

“…This article presents the features of the course of liver cirrhosis (LC) in a patient with a new coronavirus infection. …”
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SGW-YOLOv8n: An Improved YOLOv8n-Based Model for Apple Detection and Segmentation in Complex Orchard Environments by Tao Wu, Zhonghua Miao, Wenlei Huang, Wenkai Han, Zhengwei Guo, Tao Li

“…This study addresses the problem of detecting occluded apples in complex unstructured environments in orchards and proposes an apple detection and segmentation model based on improved YOLOv8n-SGW-YOLOv8n. …”
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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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Rolling Bearing Fault Diagnosis Method Based on Improved Variational Mode Decomposition and Information Entropy by Wen FAN, Lian GE, Xiaoting XIAO, Fangji GAN, Xin LAI, Hongxia DENG, Qi HUANG

“…However, VMD has the problem of parameter selection, which directly affects the performance of VMD processing, and causes mode aliasing. …”
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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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Enhanced diagnosis of planetary gear train faults based on bispectrum and attention mechanism deep convolutional generative adversarial networks by Dalian Yang, Yang Zhang, Renjie Li, Hui Long, Changzheng Huang

“…Abstract Aiming at the problem of inaccurate fault diagnosis caused by limited fault samples and challenging feature extraction in helicopter planetary gear trains, this study proposes a fault diagnosis method based on Bispectrum and Attention Mechanism Deep Convolutional Generative Adversarial Networks (BAMDCGAN). …”
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EDPNet: A Transmission Line Ice-Thickness Recognition End-Side Network Based on Efficient Dynamic Perception by Yangyang Jiao, Yu Zhang, Yinke Dou, Liangliang Zhao, Qiang Liu

“…Then, a lightweight deep fusion module (LDFM) is designed, which combines the attention mechanism with different features to enhance the information interaction between the encoder and decoder. …”
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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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CM-YOLO: Typical Object Detection Method in Remote Sensing Cloud and Mist Scene Images by Jianming Hu, Yangyu Wei, Wenbin Chen, Xiyang Zhi, Wei Zhang

“…However, the degradation and loss of features caused by the obstruction of cloud and mist elements still pose a challenging problem for this technology. …”
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