A Mobile Deep Learning Classification Model for Diabetic Retinopathy by Daniel Rimaru, Antonio Nehme, Musaed Alhussein, Khaled Mahbub, Khusheed Aurangzeb, Anas Khan

“…The early diagnosis of DR using computer-aided automated tools is possible due to tremendous advancements in machine and deep learning models in the last decade. …”
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A large-scale dataset for Chinese historical document recognition and analysis by Yongxin Shi, Dezhi Peng, Yuyi Zhang, Jiahuan Cao, Lianwen Jin

“…Recently, researchers have tried to utilize deep-learning techniques to automate recognition and analysis. However, existing Chinese historical document datasets, which are heavily relied upon by deep-learning models, suffer from limited data scale, insufficient character category, and lack of book-level annotation. …”
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Analysis of over 1600 chemistry YouTube channels from 2005 to 2023 by Scott Gardner, Gabriela Bezati, Tristen Godfrey, Katie Baird, Usamah Bilal, Emma Loudon, Rhona Young, Lewis E. MacKenzie

“…By applying both manual and semi-automated search methods, we identified, categorized and analysed publicly available data for 1619 chemistry YouTube channels that were available in 2023. …”
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Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images by Yu Liu, Du-Gang Xi, Zhao-Liang Li, Chun-Xiang Shi

“…This paper presents an automated method to track cumulonimbus (Cb) clouds based on cloud classification and characterizes Cb behavior from FengYun-2C (FY-2C). …”
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Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data by Jinqun Wu, Jinqun Wu, Yiqin Zheng, Tingting Wang, Chunyong Ma, Chunyong Ma, Ge Chen, Ge Chen

“…In this paper, we employed high-resolution synthetic aperture radar (SAR) satellite imagery and proposed an oriented ice eddy detection network (OIEDNet) framework to conduct automated detection and spatiotemporal analysis of ice eddies in the Nordic Seas. …”
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ORCHAMP: an observation network for monitoring biodiversity and ecosystem functioning across space and time in mountainous regions by Thuiller, Wilfried, Saillard, Amélie, Abdulhak, Sylvain, Augé, Vincent,  Birck, Carole, Bonet, Richard, Choler, Philippe, Delestrade, Anne,  Kunstler, Georges, Leccia, Marie-France, Lienard, Bertrand, Poulenard, Jérome, Valay, Jean-Gabriel, Bayle, Arthur, Bonfanti, Nicolas, Brousset, Lenka,  Bizard, Léa,  Calderón-Sanou, Irene, Dentant, Cédric, Desjonquères, Camille, Gielly, Ludovic, Guéguen, Maya, Guiter, Frédéric, Hedde, Mickael,  Hustache, Eric, Kedhim, Norine, Lapenu, Pierre, Le Guillarme, Nicolas,  Marchal, Lise, Mahieu, Chloé, Martin, Gabrielle, Martinez-Almoyna, Camille,  Miele, Vincent, Murienne, Jérôme, Paillet, Yoan, Rome, Maxime,  Renaud, Julien, The Orchamp Consortium

“…Leveraging the natural elevational gradients of mountain environments, the ORCHAMP program was established in 2016 as a comprehensive initiative to monitor, understand, and predict the repercussions of environmental changes on biodiversity and associated ecosystem functions in the French Alps and Pyrenees.Beyond its monitoring role, ORCHAMP has catalyzed the development of tools for data integration, statistical analyses, visualization, and AI-based automated data processing and predictions. Through a combination of traditional sampling methods (e.g., botanical surveys) and cutting-edge technologies (remote-sensing, environmental DNA, video, and acoustic sensors), the program offers a holistic approach to understanding how biodiversity faces environmental changes. …”
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ANALYSIS OF DIMENSIONS AND TRENDS IN THE DIGITAL TRANSFORMATION OF CUSTOMS SYSTEMS by RĂCĂTĂIAN RALUCA IOANA

“…A central aspect of the research is the analysis of the opportunities offered by ICT, such as the implementation of the "Single Window" for electronic filing of customs information, which facilitates interoperability between the automated customs systems of the member states of the European Union. …”
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Design and application of depth control methods for autonomous underwater profilers in challenging marine environments by Isabel P. Morales-Aragón, Jaime Giménez-Gallego, Javier Gilabert, Roque Torres-Sánchez, Fulgencio Soto-Valles

“…To address the challenges of restoring these ecosystems, the development of automated methods for continuous monitoring of various parameters at different depths and locations is being promoted. …”
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Nuclear Fusion Pattern Recognition by Ensemble Learning by G. Farias, E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, H. Vargas

“…It is impossible to do a complete analysis of this data manually, and it is essential to automate this process. That is why machine learning models have been used to this end in previous years. …”
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Numerical Recursive Aggregation of VSC-Based Systems Using Impedance Modeling for Stability Analysis by Taleb Vahabzadeh, Seyyedmilad Ebrahimi, Juri Jatskevich

“…Moreover, an algorithm is proposed to automate the aggregation of multiconverter-based systems. …”
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Optimization of Energy Consumption in Voice Assistants Through AI-Enabled Cache Implementation: Development and Evaluation of a Metric by Alber Oswaldo Montoya Benitez, Álvaro Suárez Sarmiento, Elsa María Macías López, Jorge Herrera-Ramirez

“…Voice assistants (VAs), as part of IoT-based systems, facilitate task execution in a simple and automated manner, from entertainment to critical activities. …”
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Patch-Based Oil Painting Forgery Detection Based on Brushstroke Analysis Using Generative Adversarial Networks and Depth Visualization by Elhamsadat Azimi, Amirsaman Ashtari, Jaehong Ahn

“…Recently, computer vision algorithms have shown promise in image processing tasks; however, creating an automated model for painting authentication remains a challenge in art preservation and history. …”
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Hybrid Hamiltonian Simulation Approach for the Analysis of Quantum Error Correction Protocol Robustness by Benjamin Gys, Lander Burgelman, Kristiaan De Greve, Georges Gielen, Francky Catthoor

“…Similar to classical systems, optimized simulation tools can greatly improve the efficiency of the design process. We propose an automated simulation framework for the development of qubit microarchitectures, in which the effects of design choices in the physical qubit layer on the performance of QEC protocols can be evaluated, whereas the focus in the current state-of-the-art design tools only lies on the simulation of the individual quantum gates. …”
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Digitalized Optical Sensor Network for Intelligent Facility Monitoring by Esther Renner, Lisa-Sophie Haerteis, Joachim Kaiser, Michael Villnow, Markus Richter, Torsten Thiel, Andreas Pohlkötter, Bernhard Schmauss

“…The optical fiber sensor system is based on bidirectional incoherent optical frequency domain reflectometry (biOFDR) and is used for the interrogation of fiber Bragg grating (FBG) arrays. To allow for an automated sensor identification and thus measurement procedure, an optical sensor identification marker based on a unique combination of fiber Bragg gratings (FBGs) is established. …”
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MESO-CMOS Hybrid Circuits With Time-Multiplexing Technique for Energy and Area-Efficient Computing in Memory by Tzuping Huang, Linran Zhao, Yiming Han, Hai Li, Ian A. Young, Yaoyao Jia

“…This library is critical to realize automated design, as it allows the implementation of all the basic CMOS functions with MESO, thereby enabling MESO-CMOS hybrid design in large-scale complex circuits. …”
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AutoML based workflow for design of experiments (DOE) selection and benchmarking data acquisition strategies with simulation models by Xukuan Xu, Donghui Li, Jinghou Bi, Michael Moeckel

“…This paper introduces a workflow for conducting DOE comparative studies using automated machine learning. Based on a practical definition of model complexity in the context of machine learning, the interplay of systematic data generation and model performance is examined considering various sources of uncertainty: this includes uncertainties caused by stochastic sampling strategies, imprecise data, suboptimal modeling, and model evaluation. …”
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Diabetes Technology: Markers, Monitoring, Assessment, and Control of Blood Glucose Fluctuations in Diabetes by Boris P. Kovatchev

“…Technology integrating CGM with insulin pumps is now available, opening the field for automated closed-loop control, known as the artificial pancreas. …”
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Valid knowledge of performance provided by a motion capturing system in shot put by Stefan Künzell, Anna Knoblich, Annika Stippler

“…This study opens the door to an automated version of the qualitative assessment of movements by AI. …”
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Modeling Reader's Emotional State Response on Document's Typographic Elements by Dimitrios Tsonos, Georgios Kouroupetroglou

“…This novel model can contribute to the automated reader's emotional state extraction in order, for example, to enhance the acoustic rendition of the documents, utilizing text-to-speech synthesis.…”
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Artificial intelligence in healthcare: transforming patient safety with intelligent systems—A systematic review by Francesco De Micco, Francesco De Micco, Gianmarco Di Palma, Gianmarco Di Palma, Davide Ferorelli, Anna De Benedictis, Anna De Benedictis, Luca Tomassini, Vittoradolfo Tambone, Mariano Cingolani, Roberto Scendoni, Roberto Scendoni

“…Studies reveal that AI can improve incident reporting accuracy, identify high-risk incidents, and automate classification processes. However, challenges such as socio-technical issues, implementation barriers, and the need for standardization persist.DiscussionThe review highlights the effectiveness of AI in various applications but underscores the necessity for further research to ensure safe and consistent integration into clinical practices. …”
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