Fully automated multicolour structured illumination module for super-resolution microscopy with two excitation colours by Haoran Wang, Peter T. Brown, Jessica Ullom, Douglas P. Shepherd, Rainer Heintzmann, Benedict Diederich

“…Our goal is to democratize SIM-based super-resolution microscopy by providing open-source documentation and a flexible software framework adaptable to various hardware (e.g., cameras, stages) and reconstruction algorithms, enabling more widespread super-resolution upgrades across devices.…”
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Standardization of Lung CT Number Using COPD Gene2 Phantom Under Various Scanning Protocols by Hoondong Song, Hanjoo Jang, Jongduk Baek

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Improved Variational Mode Decomposition in Pipeline Leakage Detection at the Oil Gas Chemical Terminals Based on Distributed Optical Fiber Acoustic Sensing System by Hongxuan Xu, Jiancun Zuo, Teng Wang

“…Furthermore, we integrate VMD with fuzzy dispersion entropy to effectively select and reconstruct intrinsic mode functions, significantly enhancing the denoising performance. …”
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Digital removal of dermal denticle layer using geometric AI from 3D CT scans of shark craniofacial structures enhances anatomical precision by Sang Wha Kim, Adams Hei Long Yuen, Hyun Woo Kim, Seyoung Lee, Sung Bin Lee, Young Min Lee, Won Joon Jung, Cherry Tsz Ching Poon, Dasol Park, Sangyun Kim, Sang Guen Kim, Jung Woo Kang, Jun Kwon, Su Jin Jo, Sib Sankar Giri, Hyunjung Park, Jong-pil Seo, Deok-Soo Kim, Byung Yeop Kim, Se Chang Park

“…The processed scans were reconstructed using bone reconstruction algorithms to enable precise craniofacial measurements. …”
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Fusion of Masked Autoencoder for Adaptive Augmentation Sequential Recommendation by SUN Xiujuan, SUN Fuzhen, LI Pengcheng, WANG Aofei, WANG Shaoqing

“…Subsequently, the masked autoencoder module employs re-masking technology to mask to highly semantically related masked items again, enabling the encoder to learn higher-level item representations and achieving the reasonable reconstruction of masked items. Finally, the sequential recommender module integrates position information, global context, and the personalized user interaction sequence to obtain the final item representation and predict the user's future possible interaction items based on the representation, thereby providing more reliable recommendation results for users. …”
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A Novel Method for Water Surface Debris Detection Based on YOLOV8 with Polarization Interference Suppression by Yi Chen, Honghui Lin, Lin Xiao, Maolin Zhang, Pingjun Zhang

“…To overcome these imaging challenges in complex aquatic environments, we propose a novel YOLOv8-based detection framework with integrated polarized light suppression mechanisms. The framework consists of four key components: a fisheye distortion correction module, a polarization feature processing layer, a customized residual network with Squeeze-and-Excitation (SE) attention, and a cascaded pipeline for super-resolution reconstruction and deblurring. …”
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Multispectral Imaging-Based System for Detecting Tissue Oxygen Saturation With Wound Segmentation for Monitoring Wound Healing by Chih-Lung Lin, Meng-Hsuan Wu, Yuan-Hao Ho, Fang-Yi Lin, Yu-Hsien Lu, Yuan-Yu Hsueh, Chia-Chen Chen

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Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

“…This paper proposes an improved YOLOv8 algorithm, incorporating adaptive feature extraction and multi-scale fusion modules to enhance feature representation, effectively capturing the details of small objects. …”
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KEDM: Knowledge-Embedded Diffusion Model for Infrared Image Destriping by Lingxiao Li, Xin Wang, Dan Huang, Yunan He, Zhuqiang Zhong, Qingling Xia

“…Empirical evaluations on several benchmark datasets demonstrate that the proposed KEDM outperforms other state-of-the-art destriping algorithms in terms of visual quality and quantitative metrics, validating its excellent performance.…”
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Intelligent Detection and Recognition of Marine Plankton by Digital Holography and Deep Learning by Xianfeng Xu, Weilong Luo, Zhanhong Ren, Xinjiu Song

“…In this paper, an intelligent method designed with digital holography and deep learning algorithms is proposed to detect and recognize marine plankton (IDRMP). …”
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A precise estimation framework for individual tree AGB of Pinus kesiya var. Langbianensis utilizing point cloud registration Optimization by Zhibo Yu, Yong Wu, Ziyu Zhang, Chi Lu, Hong Wang, Zhi Liu, Xiaoli Zhang, Lei Bao, Jie Pan, Guanglong Ou, Hongbin Luo

“…To enhance AGB estimation accuracy, we integrated unmanned aerial vehicle laser scanning (ULS) and backpack laser scanning (BLS) point clouds using the Iterative Closest Point (ICP) algorithm for precise registration and fusion under varying slope conditions, enabling 3D tree reconstruction. …”
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Modular scaffolds with intelligent visual guidance system for in situ bone tissue repair by Huifeng Shao, Pengcheng Xia, Tao Zhang, Jinyuan Shi, Zhiqiang Huang, Xianqi Yuan, Zhiheng Nian, Xiao Zhao, Rougang Zhou, Youping Gong, Yong He

“…Through self-developed defect recognition and reconstruction algorithms, defect recognition and personalized assembly schemes for bone scaffolds can be achieved autonomously. …”
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Rehabilitation exoskeleton system with bidirectional virtual reality feedback training strategy by Yongsheng Gao, Guodong Lang, Chenxiao Zhang, Rui Wu, Yanhe Zhu, Yu Zhao, Jie Zhao

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Research on Grouting Dynamic Monitoring Based on Borehole–Tunnel Joint Resistivity Method by Cheng Wang, Lei Zhou, Liangjun Yan, Bofan Li

“…Finite volume method and quasi-Gauss–Newton inversion algorithms were employed to analyze dynamic resistivity variations, enhancing spatial resolution for detailed characterization of grout migration. …”
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A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity by Balamurali S, Kathirvelu M, SatheeshKumar Palanisamy, Tagrid Abdullah N. Alshalali

“…To address these challenges, integrating excellent data compression and reconstruction methods with high-quality clustering algorithms can be the ideal solution. …”
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MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

“…Furthermore, we explore the Soft-NMS algorithm to effectively mitigate small object occlusion and reduce missed detection. …”
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DETERMINATION OF WEAK EARTHQUAKE FOCAL MECHANISMS AND MODERN GEODYNAMICS OF SOUTHERN IRAN by Yu. L. Rebetsky, A. A. Lukk, R. E. Tatevossian, V. V. Bykova

“…This approach is based on a specific algorithm of the kinematic method developed by O.I. …”
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Multi-temporal investigation of sand wave migration patterns in the Taiwan Bank through fusion of satellite imagery and deep neural networks by Jiaxin Cui, Xianglong Jin, Xiaowen Luo, Ziyin Wu, Jieqiong Zhou, Jihong Shang, Dineng Zhao, Hongyang Wan

“…Leveraging a Visual Geometry Group neural network algorithm, this research combines limited in situ depth measurements with SAR-derived data to reconstruct high-resolution bathymetry. …”
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Bearing remaining useful life prediction based on optimized VMD and BiLSTM-CBAM. by Wei Liu, Sen Liu

“…To address the issue of low accuracy in existing remaining useful life (RUL) prediction algorithms for rolling bearings, this paper proposes a novel RUL prediction method based on the Beluga Whale Optimization (BWO) algorithm, Variational Mode Decomposition (VMD), an improved Convolutional Block Attention Module (CBAM*), and a Bidirectional Long Short-Term Memory (BiLSTM) network. …”
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Initial position detection scheme based on discrete pulse signal injection for PMSM by Weiping Duan, Chen Cen, Chen Zhang

“…The entire scheme adopts a discrete approach, ensuring a holistic and less complex algorithm. Moreover, a novel iteration method based on interpolation is introduced, leveraging the reconstructed cost function to achieve rapid convergence and minimize the number of injected pulses. …”
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