Classification of Teleseismic Shear Wave Splitting Measurements: A Convolutional Neural Network Approach by Yanwei Zhang, Stephen S. Gao

“…In order to obtain reliable splitting measurements, an essential step is to visually verify all the measurements to reject problematic measurements, a task that is increasingly time consuming due to the exponential increase in the amount of data. …”
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Application of multimodal deep learning in the auxiliary diagnosis and treatment of dermatological diseases by Ting Li, Bowei Li, Yuying Jia, Lian Duan, Ping Sun, Xiaozhen Li, Xiaodong Yang, Hong Cai

“…However, due to the small amount of information contained in unimodality, this technology cannot fully demonstrate the advantages of multimodal data in the real-world medical environment. Multimodal data fusion can fully integrate various types of data to help doctors make more accurate clinical decisions. …”
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A Lightweight TA-YOLOv8 Method for the Spot Weld Surface Anomaly Detection of Body in White by Weijie Liu, Miao Jia, Shuo Zhang, Siyu Zhu, Jin Qi, Jie Hu

“…The deep learning architecture YOLO (You Only Look Once) has demonstrated its superior visual detection performance in various computer vision tasks and has been widely applied in the field of automatic surface defect detection. …”
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The Hubble Image Similarity Project by Richard L. White, J. E. G. Peek

“…We have created a large database of similarity information between subregions of Hubble Space Telescope images. These data can be used to assess the accuracy of image-search algorithms based on computer vision methods. …”
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Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation by Haiwoong Park, Hyeryung Jang

“…Anomaly detection is critical in safety-sensitive fields, but faces challenges from scarce abnormal data and costly expert labeling. Time series anomaly detection is relatively challenging due to its reliance on sequential data, which imposes high computational and memory costs. …”
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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis by Hafiz Muhammad Raza Ur Rehman, Mahpara Saleem, Muhammad Zeeshan Jhandir, Eduardo Silva Alvarado, Helena Garay, Imran Ashraf

“…We fill research gaps by assessing a variety of methods, including deep learning, machine learning, and natural language processing, especially for complicated data like code-mixed and cross-lingual text. Additionally, we offer key technique comparisons, suggesting future research avenues that prioritize multi-modal analysis and ethical data handling, while acknowledging its benefits and drawbacks. …”
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Towards a minimum universal features set for IoT DDoS attack detection by Osama Ebrahem, Salah Dowaji, Suhel Alhammoud

“…This can be done for a variety of reasons, such as reducing the complexity of a model, improving the performance of a learning algorithm, or making it easier to visualize the data. Motivated from aforementioned reasons, this paper proposed a new feature reduction approach, which reduce and weight the most important features from of universal features set to fit the big data analytics on IoT based cybersecurity systems. …”
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Development of a platform recommending 3D and spectral digitisation strategies by Stefanie Wefers, Ashish Karmacharya, Frank Boochs

“…Spatial and spectral recording of cultural heritage objects is a complex task including data acquisition, processing and analysis involving different technical disciplines. …”
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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

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Point-Cloud Instance Segmentation for Spinning Laser Sensors by Alvaro Casado-Coscolla, Carlos Sanchez-Belenguer, Erik Wolfart, Vitor Sequeira

“…We also introduce a novel data-mining pipeline that enables the annotation of 3D scans without human intervention. …”
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A comprehensive review of semantic web technologies supported life cycle management for road infrastructures by Rujie Zhang, Jianwei Wang, Haijiang Li, Xinhua Mao

“…Research trends were visualized through co-authorship, co-citation, and co-word analyses, while critical reviews identified themes and limitations. …”
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5G Indoor/Outdoor Field Trial of Deep Joint Source-Channel Coding Method by Daisuke Hisano, Keigo Matsumoto, Yoshiaki Inoue, Yuko Hara, Kazuki Maruta, Yu Nakayama, Hiroshi Tatsukawa, Yuji Kawai, Yoshinori Shinohara, Hiroki Ikeda

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Creating a system of protection against counterfeiting and unauthorized useof the products in railway transport by G. V. Raykov, M. A. Kuznetsov, S. V. Petrov

“…Creation of automated data bank of products (ADBP), containing all the necessary information about each individual product operated, to be protected against counterfeiting. 4. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…Data preparation incorporates median filtering and global contrast normalization to enhance image quality. …”
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CogTrack: A Proof of Concept for Cognition Tracker by Yesoda Bhargava, Kanthi Kumar Kattupalli, Veeky Baths

“…CogTrack is a mobile app that visualizes cognitive performance scores obtained from virtual-reality and mobile-based goal-oriented games designed and validated by us. …”
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A Few-Shot Steel Surface Defect Generation Method Based on Diffusion Models by Hongjie Li, Yang Liu, Chuni Liu, Hongxuan Pang, Ke Xu

“…Few-shot steel surface defect generation remains challenging due to the limited availability of training samples and the complex visual characteristics of industrial defects. Traditional data augmentation techniques often fail to capture the diverse manifestations of defects, resulting in suboptimal detection performance. …”
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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…The reliability of the proposed feature selection, model optimization, and data balancing methods was verified by comparing the optimal model with other methods. …”
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End-to-end deep fusion of hyperspectral imaging and computer vision techniques for rapid detection of wheat seed quality by Tingting Zhang, Jing Li, Jinpeng Tong, Yihu Song, Li Wang, Renye Wu, Xuan Wei, Yuanyuan Song, Rensen Zeng

“…Hyperspectral imaging (HSI) and computer vision (CV) were employed to capture surface data from both the embryo (EM) and endosperm (EN). …”
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Quantification of neuroinflammation in spinal cord and neuroforamina of patients with painful cervical radiculopathy using [11C]DPA713 PET/CT by Ivo J. Lutke Schipholt, Ivo J. Lutke Schipholt, Gwendolyne G. M. Scholten-Peeters, Meghan A. Koop, Michel W. Coppieters, Michel W. Coppieters, Ronald Boellaard, Elsmarieke van de Giessen, Elsmarieke van de Giessen, Bastiaan C. ter Meulen, Bastiaan C. ter Meulen, Marieke Coenen, Carmen Vleggeert-Lankamp, Paul R. Depaauw, Bart N. M. van Berckel, Adriaan A. Lammerstma, Adriaan A. Lammerstma, Maqsood Yaqub

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A Handheld IoT Vis/NIR Spectroscopic System to Assess the Soluble Solids Content of Wine Grapes by Xu Zhang, Ziquan Qin, Ruijie Zhao, Zhuojun Xie, Xuebing Bai

“…This article integrated the AS7265X sensor to develop a low-cost handheld IoT multispectral detection device, which can collect 18 variables in the wavelength range of 410–940 nm. The data can be sent in real time to the cloud configuration, where it can be backed up and visualized. …”
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