Functional Evaluation of the Visual Pathway in Patients with Multiple Sclerosis Using a Multifunction Stimulator Monitor by M. Satue, L. Jarauta, J. Obis, M. Cipres, M. J. Rodrigo, C. Almarcegui, I. Dolz, J. R. Ara, J. Martin, L. E. Pablo, E. Garcia-Martin

“…All participants underwent a complete functional evaluation of the visual pathway, which included low-contrast visual acuity (LCVA), contrast sensitivity vision (CSV), automated perimetry, multifocal visual evoked potentials (mfVEPs), and pattern electroretinogram (ERG). …”
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Mapping the Land Suitability for Paddy, Corn, and Soybean in Tropical Situation of Jombang District, Indonesia by Zainal Arifin, Dwi Setyorini, Donald Sihombing, Sugiono Sugiono, Evy Latifah, Mohammad Saeri, Catur Hermanto, Amik Krismawati, Nurul Istiqomah, Eni Fidiyawati

“…Information on climate characteristics, plant growth, and needs were obtained from field studies and literature studies and then the information was overlaid using a land use expert system with the ALES (automated land evaluation system) program to determine the ZAE class. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…They serve as a decision support system, partially automating the diagnosis process by providing probability predictions for abnormalities. …”
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Using Radiogenic Noble Gas Nuclides to Identify and Characterize Rock Fracturing by W. Payton Gardner, Stephen J. Bauer, William M. Kibikas, Brynna Siluk, Scott Broome, Chris Strickland, Christine Johnson, Vince Vermeul

“…Real‐time, in situ noble gases and reactive gases were monitored using a field‐deployed mass spectrometer and automated sampling system in a multilevel borehole array. …”
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Automatic GPR detection of grouting defects behind the tunnel shield segments based on wavelet coherence analysis combined with modified Res-RCNN by Dengyi Wang, Ming Peng, Liu Liu, Xiongyao Xie, Zhenming Shi, Yaoying Liang, Jian Shen, Qiyu Wu

“…To address these, this paper introduces an automated approach using wavelet coherence and a modified Res-RCNN. …”
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A universal panel of STR loci for the study of polymorphism of the species <i>Canis lupus</i> and forensic identification of dog and wolf by A. E. Hrebianchuk, I. S. Tsybovsky

“…A computational tool was developed to automate the analysis of genetic data on the wolf and dog in the forensic examination; two guides were approved for practicing forensic experts. …”
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Identification and analysis of factors affecting the maturity of knowledge-based companies in the food industry with the approach of the fourth-generation industry by Ali Mohaghar, Fatemeh Saghafi, Mohammad Hasan Maleki, Daryamehr Keshani

“…Some suggestions were: the use of data-driven technologies such as business intelligence and big data to strengthen data-driven decision-making, the use of a hybrid approach in training and the application of new technologies in the field of training such as Metaverse, the use of Internet of Things and blockchain technologies to automate and intelligentize processes and finally Moving towards an open innovation policy.…”
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GAZE DIRECTION MONITORING MODEL IN COMPUTER SYSTEM FOR ACADEMIC PERFORMANCE ASSESSMENT by Olesia Barkovska, Yaroslav Liapin, Tetiana Muzyka, Ihor Ryndyk, Pavlo Botnar

“…The practical novelty of the proposed model of monitoring the direction of gaze in a computer-based knowledge control system lies in the possibility of automated remote control over a large audience of students. …”
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Machine Learning-Based Normal White Blood Cell Multi-Classification Optimization by Taeyeon Gil, Sukjun Lee, Onseok Lee

“…Therefore, many studies are being conducted to automate the classification of WBC types. Several studies have employed deep learning (DL) or machine learning (ML) methods; no significant difference in performance between the two methods has been demonstrated. …”
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Comparative Evaluation and Measure of Accuracy of ELISAs, CLIAs, and ECLIAs for the Detection of HIV Infection among Blood Donors in China by Le Chang, Junpeng Zhao, Fei Guo, Huimin Ji, Lu Zhang, Xinyi Jiang, Lunan Wang

“…Enzyme-linked immunosorbent assay (ELISA) is the only serological method approved for blood screening in China. Automated chemiluminescence immunoassay (CLIA) and electrochemiluminescence immunoassay (ECLIA) had been used in clinical laboratories but not applied to screen HIV among blood donors. …”
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An Attention-Based Residual U-Net for Tumour Segmentation Using Multi-Modal MRI Brain Images by Najme Zehra Naqvi, K. R. Seeja

“…Hence, this research proposes a novel automated deep-learning approach based on U-Net for segmenting Glioma tumours. …”
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Implementing Machine Learning for Supply-Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing by Manik Rakhra, Amitabh Bhargava, Deepshikha Bhargava, Ramandeep Singh, Astha Bhanot, Abdul Wahab Rahmani

“…Several industries have recently seen the replacement of human labor by automated machinery and equipment. Across the globe, farmers’ attitudes on the use of technology in agriculture are divergent. …”
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New proposal for a multimodal imaging approach for the subclinical detection of hydroxychloroquine-induced retinal toxicity in patients with systemic lupus erythematosus by Ricard Cervera, Alfredo Adan, Gerard Espinosa, Jose Rios, Olga Araujo, José Hernández-Rodríguez, Laura Pelegrín, Ricardo P Casaroli-Marano, Halbert Hernández-Negrín, Marc Figueras-Roca, Vanesa Budi, Montse Morató

“…Each patient underwent a comprehensive ophthalmic evaluation, comprising structural tests (spectral-domain optical coherence tomography (SD-OCT), en face OCT, en face OCT angiography (OCTA), fundus autofluorescence (FAF)) and functional tests (automated perimetry for visual field (VF) testing, multifocal electroretinography (mfERG)). …”
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Data Augmentation and Machine Learning algorithms for multi-class imbalanced morphometrics data of stingless bees by Daisy Salifu, Lorna Chepkemoi, Eric Ali Ibrahim, Kiatoko Nkoba, Henri E.Z. Tonnang

“…Our results pave the way for the development of smart and automated machine learning applications to complement the existing methods for the identification of stingless bee species.…”
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Information system on microbial collections as a part of bioresource collections portal for Russia’s FASO organizations: a working protocol by F. V. Kazantsev, A. A. Smirnova, A. S. Rozanov, Yu. E. Uvarova, D. A. Afonnikov, S. E. Peltek, S. A. Lashin

“…Registered users – owners of collections – have the opportunity to create and modify records about the storage units of their collections, and to update their description. To automate work with the portal, software access to the database through the REST API has been implemented (http://api.biores.cytogen.ru/ microbes/). …”
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Universal conditional networks (UniCoN) for multi-age embryonic cartilage segmentation with Sparsely annotated data by Nishchal Sapkota, Yejia Zhang, Zihao Zhao, Maria Jose Gomez, Yuhan Hsi, Jordan A. Wilson, Kazuhiko Kawasaki, Greg Holmes, Meng Wu, Ethylin Wang Jabs, Joan T. Richtsmeier, Susan M. Motch Perrine, Danny Z. Chen

“…While DL approaches have been proposed to automate cartilage segmentation, most such models have limited accuracy and generalizability, especially across data from different embryonic age groups. …”
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Reflections on COVID-19: A Literature Review of SARS-CoV-2 Testing by Chin Shern Lau, Helen M. L. Oh, Tar Choon Aw

“…They included both nucleocapsid/spike antibodies and automated antigen assays. Early in the pandemic, it was generally agreed that the initial nucleocapsid antibody assays had poor sensitivity when used before 14 days of disease onset, with total or IgG antibodies being preferred over the use of IgM. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…Abstract Accurate segmentation of skin lesions is crucial for reliable clinical diagnosis and effective treatment planning. Automated techniques for skin lesion segmentation assist dermatologists in early detection and ongoing monitoring of various skin diseases, ultimately improving patient outcomes and reducing healthcare costs. …”
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Enhancing university remote language learning through innovative applications of artificial intelligence technologies amidst global challenges by N. Sarnovska, J. Rybinska, Yu. Mykhailichenko

“…By personalizing learning paths, providing intelligent tutoring, incorporating conversational practice, utilizing gamification, automating assessment, and leveraging virtual reality, AI is reshaping language education to be more engaging, effective, and tailored to individual student needs. …”
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Lithological and geochemical characterization of ‘adinole’ artefacts from cave deposits in southwest Wales: A material of choice during the late Middle to Upper Palaeolithic by Richard Bevins, Elizabeth A. Walker, Nick Pearce, Duncan Pirrie, Rob Ixer, Ian Saunders, Matthew Power

“…Standard petrography has been combined with automated SEM-EDS analysis for a single artefact to determine the mineralogy and textures of that artefact, while portable XRF and μXRF have been combined to establish the geochemical characteristics of all twenty-three artefacts analysed. …”
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