CaGe: A Web-Based Cancer Gene Annotation System for Cancer Genomics by Young-Kyu Park, Tae-Wook Kang, Su-Jin Baek, Kwon-Il Kim, Seon-Young Kim, Doheon Lee, Yong Sung Kim

“…Some cancer gene or mutation databases exist for this purpose, but few specialized tools exist for an automated analysis of a long gene list from an HGT-based cancer genomic analysis. …”
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Predicting the Birth Delivery Mode: Uncovering the Link Between EHG Topological Features and BMI by Rubana Hoque Chowdhury, Quazi Delwar Hossain, Mohiuddin Ahmad

“…The objective of this study is to develop an automated system for an effective detection of mode of birth delivery using EHG and analyze the data points shape structures across different BMI groups. …”
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Big data acquisition for underground infrastructure condition assessment by Chao Wang, Zhipeng Xiao, Yixian Wang, Fei Wang, Zili Li

“…To enable more efficient, accurate, and reliable assessment, it is recommended to (1) integrate data analytics like artificial intelligence to automate the analysis and interpretation of collected data, (2) to develop robust big data management platforms capable of handling large volumes of data storage, processing and analysis, (3) to couple different data acquisition technologies to leverage the strengths of each technique, and (4) to continuously improve data acquisition methods to ensure efficient and reliable data acquisition.…”
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Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis by Tao Yang, Jie Zhao, Ben Wang, Li Wang, Hengzhe Bao, Bing Li, Wen Luo, Huiwen Zhao, Jun Liu

“…To assess the computer model’s automatic evaluation of knee joint function, MedCalc 20 statistical software was used to analyze the consistency of the Lequesne functional index between the computer model’s automated determinations and manual independent assessments. …”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…This study introduces four explainable Automated Machine Learning (AutoML) models that integrate Optuna for hyperparameter optimization, SHapley Additive exPlanations (SHAP) for interpretability, and ensemble learning algorithms such as Random Forest (RF), Extreme Gradient Boosting (XGB), Light Gradient Boosting Machine (LGB), and Categorical Gradient Boosting (CB). …”
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Data-Driven Method for Passenger Path Choice Inference in Congested Subway Network by Guanghui Su, Bingfeng Si, Fang Zhao, He Li

“…The availability of automated fare collection (AFC) data, timetable, and network topology data opens up a new opportunity to study this topic based on multisource data. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…This study, titled "Enhancing Attendance Management through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery," aimed to develop a more accurate and efficient solution using Local Binary Pattern Histogram and Convolutional Neural Networks algorithms to automate attendance tracking.A mixed-method approach was employed, combining system testing with user feedback from administrators, staff, and students. …”
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Panser la bêtise artificielle by Anne Alombert

“…Après avoir déconstruit les notions d’« intelligence artificielle » ou d’« apprentissage automatique », nous proposerons de considérer les technologies contemporaines comme la nouvelle phase d’un processus d’automatisation numérique, qui implique l’extériorisation de fonctions et de capacités psychiques et cognitives, déléguées à ce que nous proposerons d’appeler des « automates computationnels interactifs ». Nous questionnerons les enjeux sociaux et politiques de ces nouvelles machines d’écriture algorithmiques, bien souvent déployées à grande échelle par des acteurs hégémoniques. …”
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Automatic Adaptive Algorithm for Delineation of Cerebral-Spinal Fluid Regions for Non-contrast Magnetic Resonance Imaging Volumetry and Cisternography in Mice by Ryszard Gomolka

“…By adjusting parameters, the algorithm is flexible for application in segmenting other types of anatomical structures or other types of 3D images. This automated method significantly reduces the time and effort compared to manual segmentation and offers higher repeatability, making it a valuable tool for preclinical and potentially clinical MRI applications.…”
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Based on the Geometric Characteristics of Binocular Imaging for Yarn Remaining Detection by Ke Le, Yanhong Yuan

“…The automated detection of yarn margins is crucial for ensuring the continuity and quality of production in textile workshops. …”
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Empirically validating a computational model of automatic behavior shaping. by Vincent Berardi, Tian Lan, Ariane Guirguis, Uri Maoz

“…<h4>Background</h4>Mobile sensing technology allows automated behavior shaping routines to be incorporated into health behavior interventions and other settings. …”
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De la logique à l’algorithme : la traduction dans le design de programmes by Kim Sacks

“…While the analytical models are similar, the linguistic goals are quite different : from the machine standpoint, automated translation focuses on syntax, and from a human standpoint, it focuses particularly on semantics. …”
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Welfare and research: automatic cognitive testing in social groups in macaques in the laboratory by Christophe Jouy, Nicolas Souedet, Didier Thenadey, Philippe Hantraye, Romina Aron Badin

“…Inspired by recent publications on automated cognitive testing in social groups, our laboratory developed a special application on tactile screens, AUTOBUNTO, by which each primate learnt its own pin code to launch a single trial of its own behavioral test. …”
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Influence of maximum heart rate predicts method on appropriate exercise intensity via Algerian soccer training programs by Zerf Mohammed

“…While as a recommendation, we required our coaches to use the beeps automated training system tools as polar watch beep system to establish the exercise intensity consistent with exercise maximum heart rate and energy requirements. …”
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Electronic Funds Transfers and Business Growth among SMEs in Kabale Municipality, Kabale District by Mujurizi, Justus

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Instrumental intelligent platforms for criminal analysis by V. M. Strukov, Y. V. Gnusov, Y. V. Gnusov

“…Based on the study, the requirements for the functional characteristics of intelligent systems of automated analysis for the needs of criminal analysis are formulated. …”
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Identifying optimal substrate classes of membrane transporters. by Andreas Denger, Volkhard Helms

“…Here, we present an automated pipeline to address this problem. Unlike previous approaches for reducing redundancy in GO datasets, we employ machine learning to identify a subset of functional annotations in a training dataset. …”
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Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology by Olga Fourkioti, Matt De Vries, Reed Naidoo, Chris Bakal

“…Abstract Background Deep learning (DL) has set new standards in cancer diagnosis, significantly enhancing the accuracy of automated classification of whole slide images (WSIs) derived from biopsied tissue samples. …”
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Weather Variables for Within-Vineyard Awareness of Botrytis Risk by K. J. Evans, A. J. G. Pirie

“…Accompanying formulae with sample data in Microsoft® Excel will support transitions to automated data analyses.…”
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Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma. by Linshan Zhou, Mu Yang, Jiadi Luo, Hongjing Zang, Songqing Fan, Yuting Zhan

“…<h4>Background</h4>Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncogenic gene across various malignancies, notably including nasopharyngeal carcinoma (NPC). The use of automated image analysis tools for immunohistochemical (IHC) staining of particular proteins is highly beneficial, as it could reduce the burden on pathologists. …”
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