Thorough Understanding and 3D Super-Resolution Imaging for Forward-Looking Missile-Borne SAR via a Maneuvering Trajectory by Tong Gu, Yifan Guo, Chen Zhao, Jian Zhang, Tao Zhang, Guisheng Liao

“…Then, a compressed sensing-based process is applied to extract reflection coefficients and super-resolution cross-track position parameters, thereby achieving precise 3D imaging reconstruction. …”
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Research Progress on Effects of Thermokarst Lakes on Soil Carbon and Microbial Community by Zhao Yunduo, Hu Xia, Yang Zhiguang, Pan Pengyu

“…[Methods] This paper comprehensively analyzed the research progress of domestic and foreign scholars on the formation and distribution of thermokarst lakes and its effects on soil carbon cycle and microorganisms in recent years using 418 literatures on carbon and microorganisms of thermokarst lakes from 1990 to 2021 in the Web of Science core database. [Results] The main issues currently facing in this field were insufficient identification of small thermokarst lakes, lack of long-term monitoring data of thermokarst lakes, and the need to fully consider the methane cycle process (methane generation and methane oxidation). …”
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Reliability Analysis of Complex Structures Under Multi-Failure Mode Utilizing an Adaptive AdaBoost Algorithm by Feng Zhang, Zijie Qiao, Yuxiang Tian, Mingying Wu, Xiayu Xu

“…A reliability analysis can become intricate when addressing issues related to nonlinear implicit models of complex structures. …”
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Reliable, efficient, and scalable photonic inverse design empowered by physics-inspired deep learning by Shao Guocheng, Zhou Tiankuang, Yan Tao, Guo Yanchen, Zhao Yun, Huang Ruqi, Fang Lu

“…To date, neither numerical nor analytical methods can balance efficiency and accuracy of the design process. To address the issue, a physics-inspired deep learning architecture termed electromagnetic neural network (EMNN) is proposed to enable an efficient, reliable, and flexible paradigm of inverse design. …”
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LITP-GAN: Leaf image translation pipeline using DETR and GLA-Net considering the lesion area of plant disease by Ri Zheng, Jimin Lee, Helin Yin, Dong Jin, Yeong Hyeon Gu

“…Generative Adversarial Networks (GANs) can address this issue by generating synthetic images, but existing methods struggle with complex diseases like fire blight, where symptoms are localized. …”
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OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering

“…A total of 334 normal and 268 glaucomatous eyes (86 early, 72 moderate, 110 advanced) were included, signal processing theory was employed, and model interpretability was rigorously evaluated. …”
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Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks by Xueling Wu, Long Qu, Maurice J. Khabbaz

“…These applications often require the efficient transmission of collected sensitive data to centralized or distributed processing units, such as cloud servers, edge nodes, or fog computing platforms—to enable timely responses. …”
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Fraud detection skills of Thai Gen Z accountants: The roles of digital competency, data science literacy and diagnostic skills by Narinthon Imjai, Watcharawat Promma, Nimnual Visedsun, Berto Usman, Somnuk Aujirapongpan

“…The issue of accounting fraud presents a significant challenge within the business sector, prompting an increase in scholarly investigations across various contexts. …”
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Optimization of MSMEs Clustering in Sampang District Using K-Medoids Method and Silhouette Coefficient Method by Muhammad Iqbal Firmansyah, Yeni Kustiyahningsih, Eza Rahmanita, Mochammad Syahrul Abidin, Budi Dwi Satoto

“…This study aims to identify the business development patterns of MSMEs in Sampang District using the K-Medoids method. The background issue raised is the lack of appropriate segmentation for MSMEs, which complicates the efforts of the government and business actors in designing suitable development strategies. …”
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Phytoremediation of Oil-Contaminated Soil by <i>Tagetes erecta</i> L. Combined with Biochar and Microbial Agent by Xin Fang, Pufan Zheng, Haomin Wang, Kefan Wang, Cong Shi, Fuchen Shi

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Autocorrelation Matrix Knowledge Distillation: A Task-Specific Distillation Method for BERT Models by Kai Zhang, Jinqiu Li, Bingqian Wang, Haoran Meng

“…Additionally, it addresses the issue of dimensional mismatch between the hidden states of the student and teacher models. …”
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DiffTST: Diff Transformer for Multivariate Time Series Forecast by Song Yang, Wenyong Han, Yaping Wan, Tao Zhu, Zhiming Liu, Shuangjian Li

“…The model utilizes independent channels to process time series data, ensuring that each input token contains information from a single channel exclusively. …”
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Effects of antibiotic and disinfectant exposure on the mouse gut microbiome and immune function by Wen-Bo Xu, Yun-Fan Wang, Si-Yu Meng, Xiao-Tong Zhang, Yi-Rong Wang, Zhao-Ying Liu

“…Disinfectants are widely used in various sectors, including the food processing industry, animal husbandry, households, and pharmaceuticals. …”
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Intelligent monitoring method for conveyor belt misalignment based on deep learning by ZUO Mingming, ZHANG Xi, YANG Zihao, SUN Qifei, ZHANG Mengchao, ZHANG Yuan, LI Hu

“…First, the conveyor belt edge recognition problem was treated as a line detection issue in a specific scenario. A strategy was proposed to detect the straight lines of the conveyor belt edges using the diagonal features of the bounding box predicted by the object detection network. …”
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Drone-based fault recognition in power systems: a systematic review of intelligent methods by Carlos A. F. Persiani, Felipe M. Sallazar, Roberto S. Inoue, Valdir Grassi, Marco H. Terra, Mário Oleskovicz

“…Once a fault is observed, prompt recognition becomes paramount to ensure the safe resumption of system operations. Addressing this issue, Drone-based strategies have proven to be effective in recognizing these irregularities. …”
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Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

“…With the acceleration of urbanization and the continuous increase in car ownership, the real-time evaluation and optimization of highway road conditions, as an essential component of modern transportation systems, has become an urgent issue in traffic management. Experimental verification shows that the model significantly improves prediction performance. …”
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A novel EEG artifact removal algorithm based on an advanced attention mechanism by Rui Jiang, Shen Tong, Jiawei Wu, Haowei Hu, Ran Zhang, Heng Wang, Yan Zhao, Weixin Zhu, Shuyan Li, Xiao Zhang

“…However, artifact removal remains a crucial issue in EEG signal processing. Recently, with the rapid development of deep learning, there has been a significant transformation in the methods of EEG artifact removal. …”
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Biotransformation of sludges from dairy and sugarcane industries through vermicomposting using the epigeic earthworm Eisenia fetida by Dayanand Sharma, Rajnikant Prasad, Bhavesh Patel, Chintak Kamalesh Parashar

“…Vermicomposting can solve the issue of sludge management from these two industries with the utilization of end products as vermicompost.…”
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Chinese medical named entity recognition integrating adversarial training and feature enhancement by Xu Zhang, Youchen Kao, Shengbing Che, Juan Yan, Sha Zhou, Shenyi Guo, Wanqin Wang

“…Secondly, the paper collected texts from medical record websites and utilized the YEDDA tool for professional annotation and processing of these texts, ultimately forming a more comprehensive target dataset. …”
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Valorization of Fruit By-Products Through Lactic Acid Fermentation for Innovative Beverage Formulation: Microbiological and Physiochemical Effects by Elisabetta Chiarini, Valentina Alessandria, Davide Buzzanca, Manuela Giordano, Negin Seif Zadeh, Francesco Mancuso, Giuseppe Zeppa

“…To address this issue, biotechnological processes can be used to create new applications for these by-products. …”
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