Concrete crack classification based on fourier image enhancement and convolutional neural network by Xiaoli Sun, Jun Yang, Wei Huang, Shuai Teng

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Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images by N.S. Demin, N.Y. Ilyasova, R.A. Paringer, D.V. Kirsh

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Accounting Support Using Artificial Intelligence for Bank Statement Classification by Marco Lecci, Thomas Hanne

“…., by reducing costs, detecting fraud, and generating reports. However, the manual maintenance of booking ledgers remains a significant challenge, particularly for small and medium-sized enterprises. …”
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Nanosilicates and molecular silicate dust species: properties and observational prospects by Stefan T. Bromley, Stefan T. Bromley

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GPR Sensing and Visual Mapping Through 4G-LTE, 5G, Wi-Fi HaLow, and Wi-Fi Hotspots with Edge Computing and AR Representation by Scott Tanch, Alireza Fath, Nicholas Hanna, Tian Xia, Dryver Huston

“…Using a GSSI SIR-30 system in conjunction with the RealSense camera for visual mapping of the surveyed area, subsurface GPR scans were created and transmitted for remote processing. Using mobile networks, the raw B-scan files were transmitted at a sufficient rate, a maximum of 0.034 ms mean latency, to enable near real-time edge processing. …”
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Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets by Madiha Khalid, Ali Raza, Faizan Younas, Furqan Rustam, Monica Gracia Villar, Imran Ashraf, Adnan Akhtar

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A laboratory feasibility study using a computer algorithm for anastomosis segmentation of epicardial ultrasonography images from distal coronary artery bypass anastomoses by Alex Skovsbo Jørgensen, Martin Siemienski Andersen, Lasse Riis Østergaard, Samuel Emil Schmidt, Dorte Nøhr, Jan Jesper Andreasen

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Deep sea spy: An online citizen science annotation platform for science and ocean literacy by Marjolaine Matabos, Pierre Cottais, Riwan Leroux, Yannick Cenatiempo, Charlotte Gasne-Destaville, Nicolas Roullet, Jozée Sarrazin, Julie Tourolle, Catherine Borremans

“…Since 2010, camera systems deployed at hydrothermal vents have acquired over 11 terabytes (TB) of data that cannot be processed by research labs only. Although deep learning offers an alternative to human processing, training algorithms requires large annotated reference datasets. …”
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Exploring the capabilities of GenAI for oral cancer consultations in remote consultations by Yu-Tao Xiong, Hao-Nan Liu, Yu-Min Zeng, Zheng-Zhe Zhan, Wei Liu, Yuan-Chen Wang, Wei Tang, Chang Liu

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Microbiological Analysis of Wild Lowbush Blueberries Harvested in Nova Scotia, Canada for the Fresh Produce Market by Timothy Ells, Nancy Tregunno, Lihua Fan, Michele Elliot, Craig Doucette, Hugh Lyu, Alexa Jollimore

“…Therefore, it would be prudent for processors to seek effective antimicrobial technologies prior to packaging, while consumers should use caution and thoroughly wash produce before consumption. Where sporadic detection of <i>L. monocytogenes</i> was observed on environmental samples from the processing line, processors must ensure that effective sanitation programs are implemented to avoid potential food safety risks.…”
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A case-control genome-wide association study of estimated breeding values for resistance to gastrointestinal nematodes in two local dairy sheep breeds by C. Persichilli, S. Biffani, G. Senczuk, M. Di Civita, M.K. Bitew, A. Bosco, L. Rinaldi, S. Grande, G. Cringoli, F. Pilla

“…Among these, genes involved in the physiology or pathology of the gastrointestinal tract, in adaptive processes and in production traits, were detected. …”
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Machine learning-driven prediction of immune checkpoint inhibitor responses against cholangiocarcinoma: a bile biopsy perspective by Dengyong Zhang, Xinrui Li, Zhonglin Wang, Jingyuan Fan, Yuhang Yang, Sophia Han, Wanliang Sun, Dongdong Wang, Shuo Zhou, Zhong Liu, Shihao Chen, Yan Yang, Yan Zhu, Zheng Lu

“…Using advanced machine learning techniques, specifically LASSO regression, we constructed a predictive model to determine the effectiveness of programmed cell death protein 1 (PD-1) inhibitors in treating CCA. …”
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Randomised controlled trial to evaluate the effectiveness of using the RD-1-based C-Tb skin test as a replacement for blood-based interferon-γ release assay for detection of, and i... by Marc Lipman, Ibrahim Abubakar, Chris Griffiths, Penny Whiting, Robert Horne, Alex Ghanouni, Heinke Kunst, Mike Mandelbaum, Molebogeng X Rangaka, Karen Sanders, Peter J White, Angela Crook, Dominik Zenner, Trinh Duong, Vanessa Hack, Julian Surey, Yohhei Hamada, Henry Bern, Joanna Calvert, Marie Francis, Amy Louise Clarke, Ellen Owen-Powell, Helen L Booth

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Road Traffic Gesture Autonomous Integrity Monitoring Using Fuzzy Logic by Kwame Owusu Ampadu, Michael Huebner

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Fault Diagnosis of Wind Turbine Blades Based on One-Dimensional Convolutional Neural Network-Bidirectional Long Short-Term Memory-Adaptive Boosting and Multi-Source Data Fusion by Kangqiao Ma, Yongqian Wang, Yu Yang

“…The multi-source sensor features are then fed into the BiLSTM layer for further processing of the time-series characteristics. The processed data are classified through a fully connected layer. …”
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Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise by Pavel Panilov, Tatiana Tsibizova

“…Efficient threat response management is ensured through automated security protocols, expediting decision-making processes and significantly reducing potential risks for the enterprise. …”
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BedEye: A Bed Exit and Bedside Fall Warning System Based on Skeleton Recognition Technology for Elderly Patients by Liang-Bi Chen, Wan-Jung Chang, Tzu-Chin Yang

“…This ensures faster processing with minimized delays and without reliance on cloud computing, which reduces network bandwidth use. …”
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Experimental Study on Monitoring Equipment for the Scouring and Sedimentation of Wharf Bank Slopes Based on Heat Transfer Principles by Jilong Yin, Huaqing Zhang, Mengmeng Liu, Qian Ma

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Intelligent recognition and sustainable security protection strategies for abnormal behavior of power grid operation data based on multidimensional digital portrait and deep neural... by Qingqing Ren, Wanqing Kang, Xuehui Yang, Qingpeng Wang, Qiang Huang

“…CNN extracts spatial and frequency features, while RNN processes time series data, enabling accurate anomaly detection. …”
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Assessing the Efficiency of Deep Learning Methods for Automated Vehicle Registration Recognition for University Entrance by Muhammad Syaqil Irsyad, Zarina Che Embi, Khairil Imran Bin Ghauth

“…The proposed approach utilizes a pre-trained object detection model to locate license plates, extracts a single frame of the license plate, performs license plate recognition, applies pre-processing techniques, and employs PP-OCRv3 for text extraction in real time. …”
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