An Artificial-Intelligence- and Telemedicine-Based Screening Tool to Identify Glaucoma Suspects from Color Fundus Imaging by Alauddin Bhuiyan, Arun Govindaiah, R. Theodore Smith

“…Having demonstrated an accurate and fully automated glaucoma-suspect screening system that can be deployed on telemedicine platforms, we plan prospective trials to determine the feasibility of the system in primary-care settings.…”
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Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing by Wei Li, Muhammad Awais, Weimin Ru, Weidong Shi, Muhammad Ajmal, Saad Uddin, Chenchen Liu

“…This review paper highlights the development of an automated irrigation system with portable wireless sensor networks and decision support methods to remotely measure the environmental parameters in an agriculture field. …”
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Trust Region Policy Learning for Adaptive Drug Infusion with Communication Networks in Hypertensive Patients by Mai The Vu, Seong Han Kim, Ha Le Nhu Ngoc Thanh, Majid Roohi, Tuan Hai Nguyen

“…The intravenous administration of pharmacological agents to patients and the normalization of average arterial blood pressure (AABP) to desired thresholds represents a prevalent approach employed within clinical settings. The automated closed-loop infusion of vasoactive drugs for the purpose of modulating blood pressure (BP) in patients suffering from acute hypertension has been the focus of rigorous investigation in recent years. …”
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Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers by Mohammed Abdul Lateef Junaid

“…Future advancements in AI algorithms, interdisciplinary collaboration, and integration with automated techniques will be crucial to fully unlocking AI’s potential in advancing biochemical research. …”
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METHODS OF DISTANCE MEASUREMENT’S ACCURACY INCREASING BASED ON THE CORRELATION ANALYSIS OF STEREO IMAGES by V. L. Kozlov

“…Actively developed tools that allow you to reduce the time costs for processing stereo images, improve the quality of the depth maps construction and automate their construction. The aim of the work is to investigate the possibilities of using various techniques for processing digital images to improve the measurements accuracy of the rangefinder based on the correlation analysis of the stereo image. …”
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Interpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML by Fei He, Suxia Liu, Xingguo Mo, Zhonggen Wang

“…This study aims to evaluate the flash flood susceptibility in the Yarlung Tsangpo River Basin (YTRB) using multiple machine learning (ML) models facilitated by the H2O automated ML platform. The best-performing model was used to generate a flash flood susceptibility map, and its interpretability was analyzed using the Shapley Additive Explanations (SHAP) tree interpretation method. …”
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The First Saint Petersburg Regional Inflammatory Bowel Diseases Registry on the Basis of the Regional Health Information System: Principles of Functioning, Testing Results, Plan of... by Yu. P. Uspenskiy, A. M. Sarana, L. N. Melentyeva, A. V. Yazenok, S. V. Petrov, Yu. A. Fominykh, S. V. Ivanov, A. V. Shotik, A. M. Segal, T. V. Gorbacheva, S. D. Plotnikova, K. V. Dronov

“…The accumulation of prospective data in the Clinical Module continues, which in the near future will make it possible to test and configure the automated analytical block of the registry.Conclusion. …”
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Development of a novel, high-throughput imaged capillary isoelectric focusing-Western method to characterize charge heterogeneity of monoclonal antibody heavy and light chains by Gangadhar Dhulipala, Alanna Broszeit, Kun Lu, Nisha Palackal, Erica Pyles

“…We thus developed a novel, automated high-throughput iCIEF-Western method to directly quantify the HC and LC charge variants with high sensitivity under denatured and reduced conditions. …”
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Ventricular Depolarization Abnormalities and Their Role in Cardiac Risk Stratification — A Narrative Review by Maarten Blondeel, Tomas Robyns, Rik Willems, Bert Vandenberk

“…Besides eliminating bias, these automated analyses bypass the need for human interpretation, thereby paving the way for large population studies.…”
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Accurate diagnosis of ischemic heart disease without exposure to radiation using non-stress unshielded magnetocardiography by Kirsten Tolstrup, Massoud Akhtari, Donatella Brisinda, Anna M. Meloni, Robert J. Siegel, Riccardo Fenici

“…Interventions: The MCG data were processed with the same automated analysis software and results were immediately available. …”
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Assessing the antiproliferative effect of biogenic silver chloride nanoparticles on glioblastoma cell lines by quantitative image‐based analysis by Nathalia Müller, Mateus Eugenio, Luciana F. Romão, Jorge Marcondes de Souza, Soniza V. Alves‐Leon, Loraine Campanati, Celso Sant’Anna

“…Herein, the antiproliferative effect of AgCl‐NPs on glioblastoma cell lines (GBM02 and GBM11) and on astrocytes was evaluated through automated quantitative image‐based analysis (HCA) of the cells. …”
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Individual DOI minting for Open Repository: a script for creating a DOI on demand for a DSpace repository by Catherine Tess Grynoch, Lisa Palmer

“…This process can be automated since the metadata for DOIs is already in the repository record and DataCite, a DOI minting organization, and Open Repository, a DSpace repository platform, both have application programming interfaces (APIs). …”
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Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV) by Samir A. Elsagheer Mohamed, Mohammad T. Parvez, Khaled A. AlShalfan, Mahmoud Y. Alaidy, Mohammed A. Al-Hagery, Mohamed T. Ben Othman

“…Even the sophisticated conventional systems that use cameras or RFIDs for automating speed-limit violations have several drawbacks, including cost, complexity, reliability, and maintenance. …”
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Effective Marine Monitoring with Multimodal Sensing and Improved Underwater Robotic Perception towards Environmental Protection and Smart Energy Transition by Hamidreza FARHADI TOLIE, REN Jinchang, Md Junayed HASAN, MA Ping, Somasundar KANNAN, LI Yinhe

“…A promptable segmentation model automates sonar target detection, overcoming challenges such as acoustic noise and shadowing without requiring large labeled datasets. …”
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Plant Leaf Identification Using Feature Fusion of Wavelet Scattering Network and CNN With PCA Classifier by S. Gowthaman, Abhishek Das

“…This approach delivers good accuracy while minimizing computational demands, providing a practical and efficient solution for automated leaf classification, particularly in resource-constrained environments.…”
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Optimisation of the Monitoring Strategy of Macroinvertebrate Communities in the River Dender, in Relation to the EU Water Framework Directive by Tom P. D’heygere, Peter L.M. Goethals, Niels De Pauw

“…In addition to biological sampling of macroinvertebrates and fish, automated measurement stations were also used to investigate the spatial-temporal variability of the physical-chemical water quality. …”
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GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masksfigshare by Naida Solak, André Ferreira, Gijs Luijten, Behrus Puladi, Victor Alves, Jan Egger

“…This dataset can be utilized for various tasks, such as developing fully automated segmentation algorithms for new, unseen brain tumor cases, particularly through deep learning-based approaches, since ground truth is provided for each sample.…”
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An Improved Deep Learning-Based Technique for Driver Detection and Driver Assistance in Electric Vehicles with Better Performance by Gunapriya Balan, Singaravelan Arumugam, Suresh Muthusamy, Hitesh Panchal, Hossam Kotb, Mohit Bajaj, Sherif S. M. Ghoneim, null Kitmo

“…As a part of this research, a driver identification system based on a deep driver classification model (deep neural network as DNN) with feature reduction techniques (random forest as RF and principal component analysis as PCA) is implemented to help automate and aid in crucial jobs such as the brake system in an efficient manner. …”
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Adaptive mobile application for the CATS learning system by Y. V. Popova, I. V. Lehchylin

“…By formalizing the intellectual processes that are carried out by both the teacher and the student, it is possible to automate a certain part of the teacher’s functions, reduce manual labor costs, which will make it easier to control the educational process, as well as make the learning process more effective. …”
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Methodology for Analyzing the Actual Technical Condition of Downhole Pumping Equipment by V. V. Ivashechkin, V. I. Krytskaya, V. N. Anufriev, O. A. Avrutin

“…At large group groundwater intakes, wells are equipped with an automated control system that allows testing the pump at the workplace and promptly making a decision on its replacement if the pressure characteristic is unacceptably reduced. …”
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