Low-Memory-Footprint CNN-Based Biomedical Signal Processing for Wearable Devices by Zahra Kokhazad, Dimitrios Gkountelos, Milad Kokhazadeh, Charalampos Bournas, Georgios Keramidas, Vasilios Kelefouras

“…The rise of wearable devices has enabled real-time processing of sensor data for critical health monitoring applications, such as human activity recognition (HAR) and cardiac disorder classification (CDC). …”
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A Review of Research on SLAM Technology Based on the Fusion of LiDAR and Vision by Peng Chen, Xinyu Zhao, Lina Zeng, Luxinyu Liu, Shengjie Liu, Li Sun, Zaijin Li, Hao Chen, Guojun Liu, Zhongliang Qiao, Yi Qu, Dongxin Xu, Lianhe Li, Lin Li

“…Specific solutions for current problems (complexity of data fusion, computational burden and real-time performance, multi-scenario data processing, etc.) are examined by categorizing and summarizing the body of the extant literature and, at the same time, discussing the trends and limitations of the current research by categorizing and summarizing the existing literature, as well as looks forward to the future research directions, including multi-sensor fusion, optimization of algorithms, improvement of real-time performance, and expansion of application scenarios. …”
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Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer’s disease biomarkers by Christoffer Ivarsson Orrelid, Oscar Rosberg, Sophia Weiner, Fredrik D. Johansson, Johan Gobom, Henrik Zetterberg, Newton Mwai, Lena Stempfle

“…Results We present a machine learning workflow for working with high-dimensional TMT proteomics data that addresses their inherent data characteristics. …”
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Klasifikasi Program Bantuan Sosial Menggunakan Algoritma K-Nearest Neighbor (K-NN)(Studi Kasus Kecamatan Malangbong Kabupaten Garut) by Hamzah Nurrifqi Fakhri Fikrillah

“…From the results of research conducted using the Rapidminer application with a total of 19,943 families of data and a division ratio of 70% for training data, 30% for test data and a value of K=598 or 3% of the total dataset, a model accuracy rate of 86.70% was obtained. …”
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The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results by Yosuke Fujii, Yosuke Fujii, Elisabeth Remy, Magdalena Alonso Balmaseda, Shoichiro Kido, Jennifer Waters, K. Andrew Peterson, Gregory C. Smith, Ichiro Ishikawa, Kamel Chikhar

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Knowledge, interest and perspectives on Artificial Intelligence in Neurosurgery. A global survey by A. Boaro, E. Mezzalira, F. Siddi, C. Bagattini, N. Gabrovsky, N. Marchesini, M. Broekman, F. Sala, N. Gabrovsky, Marcel Ivanov, Florian Ringel, Enrico Tessitore, Nicolas Sampron, Alessandro Boaro, Victor E. Staartjes

“…Introduction: Artificial Intelligence (AI) applications in healthcare are growing exponentially. …”
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Enabling Responsible Online Gambling by Real-time Persuasive Technologies by George Drosatos, Fotis Nalbadis, Emily Arden-Close, Victoria Baines, Elvira Bolat, Laura Vuillier, Theodoros Kostoulas, Marcin Budka, Sonia Wasowska, Maris Bonello, Jamie Brown, Tessa Corner, John McAlaney, Keith Phalp, Raian Ali

“…Online gambling industry usually offers Application Programming Interfaces (APIs) that are mainly intended to allow third-party applications to interact with their services and enhance user’s experience. …”
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Chemoreactomic analysis of the drug prototype рilim-1 in comparison with zinc derivatives of nonsteroidal anti-inflammatory drugs by P. A. Galenko-Yaroshevsky, I. Y. Torshin, A. N. Gromov, I. A. Reyer, O. A. Gromova, B. A. Trofimov, L. N. Parshina, R. A. Murashko, O. V. Shelemekh, A. V. Zadorozhniy, V. L. Popkov, A. V. Zelenskaya, I. B. Nektarevskaya, A. V. Sergeeva, A. V. Uvarov, Yu. V. Tovkach, I. V. Sholl

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A paradigm for the environmental oncology prevention and treatment base: Lanzhou University (Gansu) Model based on the systematic construction of cross-dimensional integration by Li Yumin, Jing Libaihe, Liu Jie, Zhou Wence, Liu Tao, Huang Xiaojun, Chen Hao, Song Feixue, Huang Zeping

“…The prospects for the promotion and application of the "Lanzhou University Model" are also discussed.…”
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Association of artificial intelligence–predicted milk yield residuals to behavioral patterns and transition success in multiparous dairy cows by C. Kemel, M. Salamone, B. Aernouts, I. Adriaens, G. Opsomer, P. Hut, M. Hostens

“…ABSTRACT: Data-driven health monitoring based on milk yield has shown potential to identify health-perturbing events during the transition period. …”
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Candidate Sites for Millimeter and Submillimeter Ground-Based Telescopes: Atmospheric Rating for the Eurasian Submillimeter Telescopes Project by Artem Y. Shikhovtsev, Pavel G. Kovadlo, Philippe Baron

“…Many studies seek to effectively characterize water vapor content and dynamics for site-testing purposes regarding ground-based millimeter and submillimeter telescope application. In the present article, we study the water vapor content within a fairly large region, which has been poorly covered in the modern literature. …”
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Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key c... by Nicholas Pudjihartono, Daniel Ho, Justin Martin O’Sullivan

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Impact of Parameters and Tree Stand Features on Accuracy of Watershed-Based Individual Tree Crown Detection Method Using ALS Data in Coniferous Forests from North-Eastern Poland by Marcin Kozniewski, Łukasz Kolendo, Szymon Chmur, Marek Ksepko

“…The precision of tree crown detection algorithms plays a critical role in providing reliable data for these applications, where even slight inaccuracies can lead to significant deviations in tree population estimates and ecological indicators. …”
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Comparison of colorimetric and electrochemical (Easy Touch GCU Meter) methods for determination of blood uric acid in clinical practice in patients with gout and hyperuricemia (dat... by M. S. Eliseev, E. V. Panina, O. V. Zheliabina

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Leveraging Next‐Generation Satellite Remote Sensing‐Based Snow Data to Improve Seasonal Water Supply Predictions in a Practical Machine Learning‐Driven River Forecast System by Sean W. Fleming, Karl Rittger, Catalina M. Oaida Taglialatela, Indrani Graczyk

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Estimating Spatiotemporal Dynamics of Carbon Storage in <i>Roinia pseudoacacia</i> Plantations in the Caijiachuan Watershed Using Sample Plots and Uncrewed Aerial Vehicle-Borne Las... by Yawei Hu, Ruoxiu Sun, Miaomiao He, Jiongchang Zhao, Yang Li, Shengze Huang, Jianjun Zhang

“…At the watershed scale, ULS data were used to estimate the AGB and vegetation carbon storage of <i>R. pseudoacacia</i> plantations in the Caijiachuan watershed. …”
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Prediction cardiovascular deterioration in a paediatric intensive care unit (PicEWS): a machine learning modelling study of routinely collected health-care dataResearch in context by Dan Fredman Stein, Michael J. Carter, John Booth, Mark J. Peters, Samiran Ray, Neil J. Sebire, Payam Barnaghi, Mario Cortina-Borja

“…Interpretation: PicEWS outperforms current clinical modelling approaches to predict cardiovascular deterioration. The proposed data processing pipeline and machine learning method offer a clinically applicable decision-support model using age-stratified normal ranges and feature variability over time for the early detection of clinical deterioration in critically ill children. …”
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Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea by Congshuang Xie, Siqi Zhang, Zhenhua Zhang, Peng Chen, Delu Pan

“…We propose a physics-based RNN model that combines spectral and radiative transfer information from Gaofen satellite imagery with reference bathymetric data from ICESat-2. This methodology includes an adaptive ellipse density-based spatial clustering of applications with noise (AE-DBSCAN) algorithm for ICESat-2 data extraction, which surpasses standard DBSCAN in terms of accuracy. …”
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Predictive Efficacy of Dual Therapies Combining Integrase Strand Transfer Inhibitors with Second-Generation Non-Nucleoside Reverse Transcriptase Inhibitors Following HIV-1 Treatmen... by Davy-Hyacinthe Gouissi Anguechia, Yagai Bouba, Ezechiel Ngoufack Jagni Semengue, Aude Christelle Ka’e, Désiré Takou, Collins Ambe Chenwi, Grace Beloumou, Alex Durand Nka, Ulrich Roland Basseck Wome, Maria Mercedes Santoro, Francesca Ceccherini-Silberstein, Adawaye Chatté, Carla Montesano, Giulia Cappelli, Vittorio Colizzi, Alexis Ndjolo, Dora Mbanya, Nicaise Ndembi, Carlo-Federico Perno, Joseph Fokam

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Calving front positions for 42 key glaciers of the Antarctic Peninsula Ice Sheet: a sub-seasonal record from 2013 to 2023 based on deep-learning application to Landsat multi-spectr... by E. Loebel, E. Loebel, C. A. Baumhoer, A. Dietz, M. Scheinert, M. Horwath

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