Online Monitoring of Water-Quality Anomaly in Water Distribution Systems Based on Probabilistic Principal Component Analysis by UV-Vis Absorption Spectroscopy by Dibo Hou, Shu Liu, Jian Zhang, Fang Chen, Pingjie Huang, Guangxin Zhang

“…A small-scale water-pipe distribution network is tested to detect water contamination events. The tests demonstrate that the PPCA-based online monitoring model can achieve satisfactory results under the ROC curve, which denotes a low false alarm rate and high probability of detecting water contamination events.…”
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Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images by Huo Li, Jing Qin, Zhongzhuan Li, Rong Ouyang, Zhixin Chen, Shijiang Huang, Shufen Qin, Qiliang Huang

“…Abstract This meta-analysis evaluated diagnostic performance of deep learning (DL) algorithms using whole slide images (WSIs) for detecting microsatellite instability-high (MSI-H) in colorectal cancer (CRC). …”
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Improvement of crack tip position estimation in DIC images by image processing methods by Najat Zekriti, Fatima Majid, Hachimi Taoufik, Yassine Tounsi, Rajaa Rhanim, Ibrahim Mrani, Hassan Rhanim

“…All relevant data on crack initiation and propagation is collected and assessed using ImageJ software using image processing methods for detecting cracks. However, the second procedure involves a developed algorithm detecting the discontinuity using digital image correlation (DIC) measurement. …”
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On the electron agyrotropy during rapid asymmetric magnetic island coalescence in presence of a guide field by E. Cazzola, M. E. Innocenti, M. V. Goldman, D. L. Newman, S. Markidis, G. Lapenta

“…We study the departure from isotropic and gyrotropic behavior by means of different robust detection algorithms proposed in the literature. While in the case without guide field these metrics show an overall agreement, when the guide field is present, a discrepancy in the agyrotropy within some relevant regions is observed, such as at the separatrices and inside magnetic islands. …”
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A Deep Learning Approach for Distant Infrasound Signals Classification by Xiaofeng Tan, Xihai Li, Hongru Li, Xiaoniu Zeng, Tianyou Liu, Shengjie Luo

“…The proposed framework incorporates advanced signal processing techniques, signal enhancement algorithms, and deep learning architectures to achieve precise classification of infrasound signals. …”
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Secure ISAC MIMO systems: exploiting interference with Bayesian Cramér–Rao bound optimization by Nanchi Su, Fan Liu, Christos Masouros, George C. Alexandropoulos, Yifeng Xiong, Qinyu Zhang

“…Our extensive numerical results verify the effectiveness of the proposed secure ISAC design showing that the proposed algorithm outperforms block-level precoding techniques.…”
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The EyCon Dataset: A Visual Corpus of Early Conflict Photography by Marina Giardinetti, Daniel Foliard, Julien Schuh, Mohamed-Salim Aissi

“…Challenges in identifying and publishing graphic images due to automated tools’ limitations in detecting violence were addressed with human expertise for accurate classification. …”
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Variational optimization for quantum problems using deep generative networks by Lingxia Zhang, Xiaodie Lin, Peidong Wang, Kaiyan Yang, Xiao Zeng, Zhaohui Wei, Zizhu Wang

“…We demonstrate that the network rapidly identifies entangled states exhibiting an optimal advantage in entanglement detection when allowing classical communication, attains the ground state energy of an eighteen spin model without encountering the barren plateau phenomenon that hampers standard hybrid algorithms, and—after a single training run—outputs multiple orthogonal ground states of degenerate quantum models. …”
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Comparative Analysis of Facial Expression Recognition Methods by Denys - Florin COT

“…The research not only deepens the understanding of emotion classification algorithms but also provides valuable perspectives for their application in crucial areas such as mental health and personalized medical assistance. …”
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A Hybrid Model for Freight Train Air Brake Condition Monitoring by Alessandro Galimberti, Federico Zanelli, Gisella Tomasini

“…The model’s accuracy in replicating the air brake system mechanism makes it well-suited for future development of model-based algorithms designed for air brake fault detection.…”
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Comparative Analysis of Random Forest and Logistic Regression Methods in Predicting Leukemia Blood Cancer Using Microscopic Blood Cell Images by Jepri Banjarnahor, Galuh Wira Relungwangi

“…While both algorithms have potential as clinical decision support, future research can test deep learning techniques and larger datasets to improve the accuracy and reliability of the model.…”
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A novel German TikTok hate speech dataset: far-right comments against politicians, women, and others by Jan Fillies, Esther Theisen, Michael Hoffmann, Robert Jung, Elena Jung, Nele Fischer, Adrian Paschke

“…Abstract With the rise of new social media platforms designed for teenagers and adolescents, the importance of content moderation supported by algorithms is more necessary than ever. State-of-the-art hate speech detection algorithms are increasingly challenged by the rapid and creative evolution of modern language. …”
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Modal Passport Concept for Enhanced Non-Destructive Monitoring and Diagnostics of Wind Turbine Blades by Aleksey Mironov, Pavel Doronkin, Aleksejs Safonovs

“…Today, there are many technologies available to assess blade condition, but they all need to be developed to become more cost-effective and more sensitive to fault detection. The algorithms and methods of the modal passport discussed in this paper propose a non-destructive technique already used for helicopter blade condition monitoring and diagnostics. …”
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Machine Learning Approaches to Code Similarity Measurement: A Systematic Review by Zixian Zhang, Takfarinas Saber

“…A deep investigation reveals that 15 applications for code similarity measurement have utilized 51 different machine learning algorithms. Additionally, the most prevalent code representation is found to be the abstract syntax tree (AST). …”
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Severe cutaneous adverse reactions associated with second-generation androgen receptor antagonists in prostate cancer patients. by Junfa Liu, Xiongfei Liu, Hongbo Zeng, Yangyang Tong, Zhe Chen, Zhitao Dong

“…SCARs related to apalutamide detected positive signals in all four algorithms, while enzalutamide and darolutamide did not show positive signals. …”
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Building rooftop extraction from high resolution aerial images using multiscale global perceptron with spatial context refinement by Qinglie Yuan

“…Abstract Building rooftop extraction has been applied in various fields, such as cartography, urban planning, automatic driving, and intelligent city construction. Automatic building detection and extraction algorithms using high spatial resolution aerial images can provide precise location and geometry information, significantly reducing time, costs, and labor. …”
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Performance analysis of deep neural networks for direction of arrival estimation of multiple sources by Min Chen, Xingpeng Mao, Xiuhong Wang

“…Abstract Recently, popular machine learning algorithms have successfully been applied to the direction of arrival (DOA) estimation. …”
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A visual-assisted relocalization add-on for autonomous robots by Yao Cheng, Fengyang Jiang, Zhe Han, Huaizhen Wang, Fengyu Zhou

“…The novelty of our method lies in its flexible add-on design, its compatibility with various LiDAR-based SLAM algorithms, and its ability to significantly boost the robustness and adaptability of robotic navigation. …”
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Postsurgery Classification of Best-Corrected Visual Acuity Changes Based on Pterygium Characteristics Using the Machine Learning Technique by Fatin Nabihah Jais, Mohd Zulfaezal Che Azemin, Mohd Radzi Hilmi, Mohd Izzuddin Mohd Tamrin, Khairidzan Mohd Kamal

“…Introduction. Early detection of visual symptoms in pterygium patients is crucial as the progression of the disease can cause visual disruption and contribute to visual impairment. …”
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Subway Sudden Passenger Flow Prediction Method Based on Two Factors: Case Study of the Dongsishitiao Station in Beijing by Chengguang Xie, Xiaofeng Li, Bingfa Chen, Feng Lin, Yushun Lin, Hainan Huang

“…The wavelet neural network (WNN) model was used to detect the sudden passenger flow, and subsequently, it is optimized by the genetic algorithm (GA), according to two-factor data characteristics. …”
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