Seven unique frequency profiles for scoring vigilance states in preclinical electrophysiological data by Freja Gam Østergaard, Martien J. H. Kas

“…Manual scoring of longitudinal electroencephalographical (EEG) data is a slow and time-consuming process. Current advances in the application of machine-learning and artificial intelligence to EEG data are moving fast; however, there is still a need for expert raters to validate scoring of EEG data. …”
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A Novel Multisensor Traffic State Assessment System Based on Incomplete Data by Yiliang Zeng, Jinhui Lan, Bin Ran, Yaoliang Jiang

“…Finally, the traffic flow data include flow, speed and, occupancy rate, which are detected between Beijing Deshengmen bridge and Drum Tower bridge, are fused to assess the traffic state of the road by using the fusion decision model of rough sets and cloud. …”
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A DNA Barcode Dataset for the Aquatic Fauna of the Panama Canal: Novel Resources for Detecting Faunal Change in the Neotropics by Kristin Saltonstall, Rachel Collin, Celestino Aguilar, Fernando Alda, Laura M. Baldrich-Mora, Victor Bravo, María Fernanda Castillo, Sheril Castro, Luis F. De León, Edgardo Díaz-Ferguson, Humberto A. Garcés, Eyda Gómez, Rigoberto G. González, Maribel A. González-Torres, Hector M. Guzman, Alexandra Hiller, Roberto Ibáñez, César Jaramillo, Klara L. Kaiser, Yulang Kam, Mayra Lemus Peralta, Oscar G. Lopez, Maycol E. Madrid C., Matthew J. Miller, Natalia Ossa-Hernandez, Ruth G. Reina, D. Ross Robertson, Tania E. Romero-Gonzalez, Milton Sandoval, Oris Sanjur, Carmen Schlöder, Ashley E. Sharpe, Diana Sharpe, Jakob Siepmann, David Strasiewsky, Mark E. Torchin, Melany Tumbaco, Marta Vargas, Miryam Venegas-Anaya, Benjamin C. Victor, Gustavo Castellanos-Galindo

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Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease by Ibrahim Abunadi

“…The second proposed system is to classify the data set using two deep learning models – ResNet-18 and AlexNet – that are pre-trained based on deep feature map extraction. …”
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From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven cardiac auscultation research for low-income settings. by Felix Krones, Benjamin Walker

“…The difficulty with which this model, and other state-of-the-art models, generalise to out-of-distribution data is also discussed. By integrating the results of the case study with those of the literature review, the NASSS framework was applied to evaluate the key challenges in deploying AI-supported heart murmur detection in low-income settings. …”
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Multi-level domain perturbation for source-free object detection in remote sensing images by Weixing Liu, Jun Liu, Xin Su, Han Nie, Bin Luo

“…In response, we first introduce a novel setting called source-free object detection (SFOD) for remote sensing images. …”
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Robust self-supervised denoising of voltage imaging data using CellMincer by Brice Wang, Tianle Ma, Theresa Chen, Trinh Nguyen, Ethan Crouse, Stephen J. Fleming, Alison S. Walker, Vera Valakh, Ralda Nehme, Evan W. Miller, Samouil L. Farhi, Mehrtash Babadi

“…CellMincer operates by masking and predicting sparse pixel sets across short temporal windows and conditions the denoiser on precomputed spatiotemporal auto-correlations to effectively model long-range dependencies without large temporal contexts. …”
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A novel temporal classification prototype network for few-shot bearing fault detection by Yanfei Liu, Ziang Du, Hao Zheng, Qian Zhang, Cheng Chen, Nana Wu

“…At present, the problem of less fault data samples in the field of fault detection has caused great trouble to the research of deep learning. …”
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Utility of Low-Cost Multichannel Data Acquisition System for Photoacoustic Computed Tomography by Mohsin Zafar, Rayyan Manwar, Seyed Mohsen Ranjbaran, Kamran Avanaki

“…While these systems produce high-quality 3D PA images, they require complex, multi-channel data acquisition (DAQ) systems to acquire data from all transducers. …”
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Automatic extraction of 3d building meshes from LiDAR data by Jan Voříšek, Bořek Patzák, Daniel Rypl

“…Terrestrial laser scanning and drone-based scanning are often combined to gain a complete picture of the external envelopes of buildings. While the resulting data sets are easy to understand for humans, extracting any semantical information from the data is a challenging task. …”
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TaxaCal: enhancing species-level profiling accuracy of 16S amplicon data by Qingrong Shen, Xiaoqian Fan, Yangyang Sun, Hao Gao, Xiaoquan Su

“…Moreover, TaxaCal enables seamless cross-platform comparisons between these two sequencing approaches, significantly improving disease detection in 16S-based microbiome data. Conclusions Therefore, TaxaCal offers a cost-effective solution for generating high-resolution microbiome species profiles that closely align with WGS results, enhancing the utility of 16S-based profiling in microbiome research. …”
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Detecting ear lesions in slaughtered pigs through open-source convolutional neural networks by Matteo D’Angelo, Domenico Sciota, Anastasia Romano, Alfonso Rosamilia, Chiara Guarnieri, Chiara Cecchini, Alberto Olivastri, Giuseppe Marruchella

“…The entire dataset (training set and test set) was evaluated by one observer, while a supplementary set of 150 pictures was assessed by all veterinarians. …”
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Implementation outcomes of 1-3-7 focus investigation for malaria in a low transmission setting in Southern Province, Zambia: A mixed methods study. by Anne C Martin, Japhet Matoba, Caison Sing'anga, Mukuma Lubinda, Sydney Mweetwa, Xinyue Chen, Ignatius Banda, Busiku Hamainza, Harry Hamapumbu, Edgar Simulundu, William J Moss, Southern and Central Africa International Centers of Excellence for Malaria Research

“…Real-time short-messaging-service reports are sent at each step to add accountability and data transparency. Reactive case detection is one focal response of the 1-3-7 strategy. …”
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Multiscale Mask R-CNN–Based Lung Tumor Detection Using PET Imaging by Rui Zhang PhD, Chao Cheng PhD, Xuehua Zhao PhD, Xuechen Li PhD

“…Each of the training data set included 594 slices with lung tumor. These 3 models of Mask R-CNN models were then integrated using weighted voting strategy to diminish the false-positive outcomes. …”
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Recent Advancements in Lateral Flow Assays for Food Mycotoxin Detection: A Review of Nanoparticle-Based Methods and Innovations by Gayathree Thenuwara, Perveen Akhtar, Bilal Javed, Baljit Singh, Hugh J. Byrne, Furong Tian

“…This review synthesizes data from 78 peer-reviewed studies published between 2015 and 2024, evaluating advances in nanoparticle-based LFAs for detection of singular or multiplex mycotoxin types. …”
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Network Intrusion Detection Using Knapsack Optimization, Mutual Information Gain, and Machine Learning by Akindele S. Afolabi, Olubunmi A. Akinola

“…Protection against such attacks may be achieved through the use of an intrusion detection system (IDS), which can be designed by training machine learning models to detect cyberattacks. …”
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Detection of Corn Quality Based on Surface-Enhanced Raman Spectroscopy and Electronic Nose Technology by HuiHe Yang, XiaoYan Wei, Guifang Wu, PengCheng Qiu, JiaNing Di, XiangPeng Zhao, WenDong Zhong, He Ren

“…The content of aflatoxin (AFB1) and ochratoxin (OTA) in corn samples was detected by fluorescence immunoassay as the basic data for the experiment. …”
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Data Mining Approaches in Predicting Entrepreneurial Intentions Based on Internet Marketing Applications by Milan Krivokuća, Mihalj Bakator, Dragan Ćoćkalo, Marijana Vidas-Bubanja, Vesna Makitan, Luka Djordjević, Borivoj Novaković, Stefan Ugrinov

“…The results varied across the applied approach, thus providing significant insights into the dynamics of data mining for prediction outcomes in an enterprise setting.…”
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FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image by Siyuan Zhao, Yong Kang, Hang Yuan, Guan Wang, Hui Wang, Shichao Xiong, Ying Luo

“…In which the small sample of data scarcity is becoming an urgent problem for researchers. …”
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Percolation and connectivity formation in the dynamics of data citation networks in high energy physics by Sergey O. Kramarov, Oleg R. Popov, Ismail E. Dzhariev, Egor A. Petrov

“…The paper proposes a method for detecting percolation transitions in the dynamics of cluster formation of articles with similar content. …”
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