A deep learning-orchestrated garlic routing architecture for secure telesurgery operations in healthcare 4.0 by Kavit Shah, Nilesh Kumar Jadav, Rajesh Gupta, Sucheta Gupta, Sudeep Tanwar, Joel J.P.C. Rodrigues, Fayez Alqahtani, Amr Tolba

“…A standard sensor dataset is utilized to train different AI algorithms, such as Long Short Term Memory (LSTM) and Gated Recurrent Neural Networks (GRU), for classifying malicious and non-malicious telesurgery data. …”
Get full text

Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…Then, the measured point cloud is registered using the Fast Point Feature Histogram (FPFH) and Iterative Closest Point (ICP) algorithms to obtain the transformation matrix from the measured point cloud to the source point cloud. …”
Get full text

CNN–Transformer Hybrid Architecture for Underwater Sonar Image Segmentation by Juan Lei, Huigang Wang, Zelin Lei, Jiayuan Li, Shaowei Rong

“…However, the existing SOD algorithms find it difficult to effectively extract salient features and spatial structure information from images with scarce semantic information, uneven intensity distribution, and high noise. …”
Get full text

Low-cost phone-based LiDAR scanning technology provides sub-centimeter accuracy when measuring the main dimensions of motor-manual tree felling cuts by Stelian Alexandru Borz, Andrea Rosario Proto

“…The wood lost depends also on the tree size, but accurate quantifications and their dependencies are difficult to establish since there is a limited ability to manually measure key dimensions and assimilate the tree bottom to parametric geometric features. …”
Get full text

Transient Attracting Profiles in the Great Pacific Garbage Patch by L. Kunz, A. Griesel, C. Eden, R. Duran, R. Duran, B. Sainte-Rose

“…Prospective research could investigate this further by applying our algorithms to soon-available high-resolution observations of the flow. …”
Get full text

Simulación de Plataformas Robóticas de Movimiento para Aplicaciones de Realidad Virtual Mediante Filtros Digitales by Sergio Casas, Cristina Portalés, Silvia Rueda, Marcos Fernández

“…However, the set-up of the so-called washout algorithms that control the generation of self-motion is a hard process, since a great deal of tests need to be performed before reaching a proper motion fidelity. …”
Get full text

ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications by A. Bellini, A. Bellini, A. Bellini, H. Diémoz, L. Di Liberto, G. P. Gobbi, A. Bracci, F. Pasqualini, F. Barnaba

“…In Italy, the Institute of Atmospheric Sciences and Climate (ISAC) of the National Research Council (CNR) established the ALICENET network of automated lidar ceilometers (ALCs) in 2015. Since then, ALICENET has grown as a cooperative effort of Italian institutions dealing with atmospheric science and monitoring, and it currently includes instruments run by regional environmental protection agencies, universities, research centres, and private companies. …”
Get full text

Using Pleiades Satellite Imagery to Monitor Multi-Annual Coastal Dune Morphological Changes by Olivier Burvingt, Bruno Castelle, Vincent Marieu, Bertrand Lubac, Alexandre Nicolae Lerma, Nicolas Robin

“…In the context of sea levels rising, monitoring spatial and temporal topographic changes along coastal dunes is crucial to understand their dynamics since they represent natural barriers against coastal flooding and large sources of sediment that can mitigate coastal erosion. …”
Get full text

Deepfake Audio Detection for Urdu Language Using Deep Neural Networks by Omair Ahmad, Muhammad Sohail Khan, Salman Jan, Inayat Khan

“…Therefore, developing effective algorithms to distinguish fake audio from real audio is critical to preventing such frauds. …”
Get full text

Cystic Fibrosis Newborn Screening: A Systematic Review-Driven Consensus Guideline from the United States Cystic Fibrosis Foundation by Meghan E. McGarry, Karen S. Raraigh, Philip Farrell, Faith Shropshire, Karey Padding, Cambrey White, M. Christine Dorley, Steven Hicks, Clement L. Ren, Kathryn Tullis, Debra Freedenberg, Q. Eileen Wafford, Sarah E. Hempstead, Marissa A. Taylor, Albert Faro, Marci K. Sontag, Susanna A. McColley

“…Newborn screening for cystic fibrosis (CF) has been universal in the US since 2010; however, there is significant variation among newborn screening algorithms. …”
Get full text

What happens between first symptoms and first acute exacerbation of COPD – observational study of routine data and patient survey by Alex Bottle, Alex Adamson, Xiubin Zhang, Benedict Hayhoe, Jennifer K Quint

“…Patient characteristics were described for the year up to and including the diagnosis date; GP actions were also described in the year before and since diagnosis. The first AECOPD was identified using our group’s published algorithm and was restricted to hospital admissions to reliably capture the most serious ones. …”
Get full text

Global trends in the use of artificial intelligence for urological tumor histopathology: A 20-year bibliometric analysis by Fazhong Dai, Yifeng He, Juan Duan, Kangjian Lin, Qian Lv, Zhongxiang Zhao, Yesong Zou, Jianhong Jiang, Zongtai Zheng, Xiaofu Qiu

“…Research on AI-driven urological tumor pathology has steadily increased since 2005, with a significant surge between 2020 and 2023. …”
Get full text

Image quality improvement in head and neck angiography based on dual-energy CT and deep learning by He Zhang, Lulu Zhang, Juan Long, He Zhang, Xiaonan Sun, Shuai Zhang, Aiyun Sun, Shenman Qiu, Yankai Meng, Tao Ding, Chunfeng Hu, Kai Xu

“…Abstract Objective Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA). …”
Get full text

Opportunities and Challenges of Cardiovascular Disease Risk Prediction for Primary Prevention Using Machine Learning and Electronic Health Records: A Systematic Review by Tianyi Liu, Andrew J. Krentz, Zhiqiang Huo, Vasa Ćurčin

“…Our findings established an integrative framework for developing, validating, and applying ML-based CVD risk prediction algorithms, addressing both clinical and technical dimensions. …”
Get full text

Trends in management of odontoid fractures 2010–2021 by Michael J. Gouzoulis, BS, Anthony E. Seddio, BS, Albert Rancu, BS, Sahir S. Jabbouri, MD, Jay Moran, MD, Arya Varthi, MD, Daniel R. Rubio, MD, Jonathan N. Grauer, MD

“…While these decisions were predicted by some clinical factors, both also correlated with nonclinical factors suggesting room for more consistent algorithms.…”
Get full text

Will adaptive deep brain stimulation for Parkinson’s disease become a real option soon? A Delphi consensus study by Matteo Guidetti, Tommaso Bocci, Marta De Pedro Del Álamo, Guenther Deuschl, Alfonso Fasano, Raul Martinez-Fernandez, Carmen Gasca-Salas, Clement Hamani, Joachim K. Krauss, Andrea A. Kühn, Patricia Limousin, Simon Little, Andres M. Lozano, Natale V. Maiorana, Sara Marceglia, Michael S. Okun, Serena Oliveri, Jill L. Ostrem, Emma Scelzo, Alfons Schnitzler, Philip A. Starr, Yasin Temel, Lars Timmermann, Gerd Tinkhauser, Veerle Visser-Vandewalle, Jens Volkmann, Alberto Priori

“…Since the next years will be crucial for aDBS implementation, the research should focus on improving precision and making programming procedures more accessible.…”
Get full text

Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients by Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, Jeanine L. Marnewick, Oluwafemi A. Sarumi, Boniface Kabaso, Thomas Moser, Karl Stroetmann, Isaac Fwemba, Fisayo Daramola, Martha Nyirenda, Susan J. van Rensburg, Peter S. Nyasulu

“…This study aimed to investigate the performance and interpretability of several ML algorithms, including deep multilayer perceptron (Deep MLP), support vector machine (SVM) and Extreme gradient boosting trees (XGBoost) for predicting COVID-19 mortality risk with an emphasis on the effect of cross-validation (CV) and principal component analysis (PCA) on the results. …”
Get full text

Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population by Daniel Gordon, Jason Hoffman, Keren Gamrasni, Yotam Barlev, Alex Levine, Tamar Landau, Ronen Shpiegel, Avishai Lahad, Ariel Koren, Carina Levin, Osnat Naor, Hannah Lee, Xin Liu, Shwetak Patel, Gilad Chayen, Michael Brandwein

“…A population-based sample of 823 patients aged 6 months to 18 years who had undergone a venous blood draw for a complete blood count since being admitted to the hospital were enrolled. …”
Get full text

Intercomparison of Total Column Ozone Between Ozonesonde Observations and Multi-source Products Across 4 Regions by Zhu Langfeng, Wang Rongbo, Fang Yonglin, Liu Mengqi, Zheng Xiangdong, Wu Hao

“…The accuracy and stability of Cef(Z) in stratosphere can be improved through improvements in mechanical design or updates to correction algorithms. Further improvements are expected to reduce measurement bias and enhance data reliability under varying atmospheric conditions.…”
Get full text

Drug-induced second tumors: a disproportionality analysis of the FAERS database by Shupeng Chen, Yuzhe Zhang, Xiaojian Li, Nana Tang, Yingjian Zeng

“…A total of 76 drugs were identified through four disproportionality algorithms (ROR, PRR, MGPS, BCPNN), with a minimum time to drug-induced tumor occurrence of 5 years, exhibiting an early failure-type curve. …”
Get full text