Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning by Jingjing Liu, Lei Xu, Le Ma, Nengcheng Chen

Get full text

Enhanced clustering techniques for lithofacies and electrofacies identification in post-salt carbonate and siliciclastic reservoirs: a case study from the campos basin, Brazil by Abel Carrasquilla, Herson Rocha

“…The exploratory data analysis was essential to understand the statistical behavior and interrelationships among the petrophysical logs, serving as a foundational step for the effective application of the clustering algorithms. Despite the diverse mathematical foundations of the clustering algorithms, the three electrofacies were reliably correlated with lithofacies. …”
Get full text

The ethics of data mining in healthcare: challenges, frameworks, and future directions by Mohamed Mustaf Ahmed, Olalekan John Okesanya, Majd Oweidat, Zhinya Kawa Othman, Shuaibu Saidu Musa, Don Eliseo Lucero-Prisno III

“…Therefore, transparency must span three levels–dataset documentation, model interpretability, and post-deployment audit logging–to make algorithmic reasoning and failures traceable. Security vulnerabilities in the Internet of Medical Things (IoMT) and cloud-based health platforms amplify these risks, while corporate data-sharing deals complicate questions of data ownership and patient autonomy. …”
Get full text

Toward Convenient and Accurate IMU-Based Gait Analysis by Mohamed Boutaayamou, Doriane Pelzer, Cédric Schwartz, Sophie Gillain, Gaëtan Garraux, Jean-Louis Croisier, Jacques G. Verly, Olivier Brüls

Get full text

Digital transformation, social ranking, and the future of statehood in the time of the “Great Reset” by Roman Rouvinsky

Get full text

Flexible Demand Side Management in Smart Cities: Integrating Diverse User Profiles and Multiple Objectives by Nuno Souza e Silva, Paulo Ferrão

“…This study extends the optimization problem to a multi-objective framework that incorporates the minimization of CO₂ emissions under a real annual energy mix while also accounting for user discomfort. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is utilized for this purpose, providing a Pareto-optimal set of solutions that balances these competing objectives. …”
Get full text

Application of expert systems in civil engineering by Ena Grčić, Marija Šperac

“…Artificial neural networks are effective in optimizing financial plans, estimating the duration of activities, assessing the productivity of work teams, and selecting contractors. Genetic algorithms find their application in resource allocation, selecting optimal solutions for task scheduling and project costs, as well as in building maintenance, while fuzzy logic aids in risk analysis, project management, and cost estimation. …”
Get full text

Markov Observation Models and Deepfakes by Michael A. Kouritzin

“…Once models have been learnt through the EM algorithm, deepfakes are generated through simulation, while they are detected using the log-likelihood. …”
Get full text

Combining the Cellular Automata and Marching Square to Generate Maps by Viore, Wirawan Istiono

“…This research will utilize Cellular Automata and the Marching Square algorithm as a method for generating 3D game shapes through Procedural Content Generation. …”
Get full text

Post-Symbolic Coloniality: The Metasimulacrum of Otherness in Digital Culture by Rastyam T. Aliev

“…Ultimately, the metasimulacrum of otherness reveals how difference is preserved not to challenge, but to stabilize the algorithmic logic of contemporary platform capitalism.…”
Get full text

An interior proximal gradient method for nonconvex optimization by De Marchi, Alberto, Themelis, Andreas

“…While traditional IP methods cannot cope with nonsmooth objective functions and proximal algorithms cannot handle complicated constraints, their combined usage is shown to successfully compensate the respective shortcomings. …”
Get full text

Decision-Making Model for Life Cycle Management of Aircraft Components by Igor Kabashkin, Vitaly Susanin

“…The optimization method on the base of genetic algorithm (GA) is employed to minimize total life cycle costs while maintaining component reliability within acceptable thresholds. …”
Get full text

Museums in Dispute: Artificial Intelligence, Digital Culture, and Critical Curation by Priscila Arantes

“…Throughout the article, the concept of meta-algorithmic curation is developed, which is understood as a practice that makes algorithms visible, open to critique, and reconfigurable as cultural and political devices. …”
Get full text

Facility location problem for senior centers in an upcoming super-aging society by Eun Hak Lee, Jonghwa Jeong

“…An optimization model is developed using a genetic algorithm to determine the optimal locations of senior centers. …”
Get full text

Lightweight Design of a Connecting Rod Using Lattice-Structure Parameter Optimisation: A Test Case for L-PBF by Michele Amicarelli, Michele Trovato, Paolo Cicconi

“…Lightweight design is a common way of reducing mass while enhancing the performance of mechanical components. …”
Get full text

Comparison of mobile robot positioning techniques by Iuliia Yamnenko, Vladislav Osokin

“…The genetic algorithm allows finding the optimal solution of the positioning problem while reducing a significant influence of the measurement error of sensors and other measuring devices on the result.…”
Get full text

DMRG study of the theta-dependent mass spectrum in the 2-flavor Schwinger model by Etsuko Itou, Akira Matsumoto, Yuya Tanizaki

Get full text

Concept of Artificial Intelligence-oriented Public Health Model in Cancer Care by Ivashchuk Oleksandr, Hovornyan Serhiy

Get full text

A narrative review of the use of PROMs and machine learning to impact value-based clinical decision-making by Michal Pruski, Simone Willis, Kathleen Withers

Get full text

Comparative analysis of water network minimization in industrial processes: Regeneration vs. non-regeneration methods by Khalifa Azza Mohamed, Elsayed Nadia Ali, Awad Mostafa

Get full text