SpaceRL — A reinforcement learning-based knowledge graph driver by Miguel Bermudo, Daniel Ayala, Inma Hernández, David Ruiz, Miguel Toro

“…They aid in the representation of related information by means of nodes connected through links indicating types of relations. …”
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Identification of common genetic variation that modulates alternative splicing. by Jeremy Hull, Susana Campino, Kate Rowlands, Man-Suen Chan, Richard R Copley, Martin S Taylor, Kirk Rockett, Gareth Elvidge, Brendan Keating, Julian Knight, Dominic Kwiatkowski

“…Alternative splicing of genes is an efficient means of generating variation in protein function. …”
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Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

“…The effectiveness and superiority of LPDD-YOLO are further substantiated through comparisons with other state-of-the-art algorithms.…”
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Multivariate determinants of self-management in Health Care: assessing Health Empowerment Model by comparison between structural equation and graphical models approaches by Filippo Trentini, Matteo Malgaroli, Anne Linda Camerini, Clelia Di Serio, Peter Schulz

“…Graphical modeling algorithms were implemented in a R software environment.…”
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Decision vector model in predicting social behavior (on the example of the secondary analysis of the pre-election surveys) by N. S. Babich, S. M. Kharun

“…The article considers a decision vector model that can be used to approximate actual behavior with some formal rules that allow to construct algorithms for predicting future states. The authors tested the reliability of ex post facto predictions on the example of the unsuccessfully predicted 2013 Moscow mayoral elections. …”
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Quantum Key Distribution Applicability to Smart Grid Cybersecurity Systems by Warren Grice, Mohammed Olama, Annabelle Lee, Philip G. Evans

“…However, with the increasing number of sophisticated attacks as well as the increasing computational power, the security of the “classical” cryptographic algorithms is threatened. Quantum information science offers solutions to this problem, specifically quantum key distribution (QKD), which provides a means for the generation and secure distribution of symmetric cryptographic keys. …”
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Estimating river water level using satellite altimetry and water surface temperature data in a regulated subtropical river by Qi Wang, Hailong Wang

“…This study provides two means of estimating RWL continuously using readily available satellite products for small regulated subtropical rivers, which can be practically useful in any rivers with carefully selected processing algorithms.…”
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Optimizing Cardiovascular Risk Assessment with a Soft Voting Classifier Ensemble by Ammar Oad, Zulfikar Ahmed Maher, Imtiaz Hussain Koondhar, Karishima Kumari, Hammad Bacha

“…Rest of classifiers gave average scores. It means the proposed method provided best results while compared with Decision tree, Logistic regression, Support Vector Classifier (SVC), SVM Kernel, K Nearest Neighbor and Naïve Bayes. …”
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SpaCcLink: exploring downstream signaling regulations with graph attention network for systematic inference of spatial cell–cell communication by Jingtao Liu, Litian Ma, Fen Ju, Chenguang Zhao, Liang Yu

“…Nevertheless, the majority of existing spatial cell–cell communication algorithms fail to take into account the downstream signals within cells. …”
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Smart city planning focused on the US cities in need of policing innovations and public health safety technologies and strategies by Delores Springs

“…In particular, the article proposes the following for implementation: identifying crime hotspots by means of advanced geographic information systems, applying machine learning algorithms to predict future crime trends, using advanced real-time surveillance technologies and firearms detection systems, applying geospatial analysis to optimise patrol routes, dynamically adjusting patrol routes depending on real-time data analytics, deploying mobile command centres. …”
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Legal Status of Artificial Intelligence from Quantum-Theoretic Perspective by E. Melnikova, I. Surov

“…Classical AI, in contrast, is limited to algorithmic computation, bound to produce predefined results regardless of its complexity. …”
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Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application by Ahmed Al-Azawei, Ali Alowayr

“…Moreover, previous literature focused on the use of structural equation modeling (SEM) to predict technology acceptance, whereas the application of data mining algorithms is rare in this direction of research. This study, therefore, aims to (1) propose an integrated framework based on the DeLone and McLean information system model, the diffusion theory, the interactivity theory, the intrinsic motivation theory, and the security perceptions, (2) predict the adoption of TikTok as a learning means in an informal educational space, and (3) compare the performance of data mining techniques and SEM in predicting users’ behavioral intention towards TikTok acceptance. …”
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Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions by Yiqun Pang, Kaiqi Zhang, Fengmei Li

“…Abstract How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. …”
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Künstliche Intelligenz im Englischunterricht – Grundwissen und Praxisbeispiele by Inez De Florio-Hansen

“…Practical classroom applications are introduced to engage students with key questions about AI: How can machine intelligence be measured (Turing Test)? What are the meanings of fundamental concepts such as algorithms, machine learning, and artificial neural networks? …”
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Identificación experimental de patrones de falla en flujómetros del tipo turbina. // Experimental identification of failure patterns in turbine type fluxmeter. by O. Reyes Vaillant, J. Cabrera Gómez

“…These results will be employed in order to design a diagnostic system<br />for TFMs using algorithms containing the proposed analysis methods.…”
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Utilization of Deep Learning YOLO V9 for Identification and Classification of Toraja Buffalo Breeds by Abdul Rachman Manga', Herawati Herawati, Purnawansyah Purnawansyah

“…Future research is recommended to explore broader datasets, compare alternative object detection algorithms, and develop an integrated application for practical field use.…”
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Incorporating Contextual Factors into a Comprehensive Analysis of Operational Efficiency and Service Quality in Healthcare Sector by Utsav Pandey, Sanjeet Singh

“…While accounting for the external influences and avoiding the ‘best practice trap’ in the healthcare sector, a set of classification algorithms are used to quantify the impact of external factors on efficiency levels. …”
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Development and validation of a clinical and computerised decision support system for management of hypertension (DSS-HTN) at a primary health care (PHC) setting. by Raghupathy Anchala, Emanuele Di Angelantonio, Dorairaj Prabhakaran, Oscar H Franco

“…Decision support systems (DSS) could provide an adequate and cost-effective means to improve the management of hypertension at a primary health care (PHC) level in a developing country, nevertheless evidence on this regard is rather limited.…”
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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…To enhance public safety, crowd detection and prevention systems have essentially become a natural means to manage diverse crowded areas, such as urban settings, transportation hubs, and event venues. …”
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Global Sensitivity Analysis of CASC2D Hydrological Model Parameters by LI Xiao-ying, ZHANG Jin-hui, ZHAO Hong-jie

“…The peak flow timing of flood was mainly related to the infiltration calculation in the model. …”
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