https://simadp.com/journalmim <p>International Journal of Maps in Mathematics (Int. J. Maps Math.) is a fully refereed international journal dealing with maps in mathematics and related structures. The language of the Journal is English. International Journal of Maps in Mathematics will have 2 issues per year (in March and September) and it welcomes the original submission of papers from all parts of the world. International Journal of Maps in Mathematics provides an international forum for researchers and professionals to share their work and report new advances on all topics related to certain maps in mathematics and mathematical sciences.</p> <p>The journal emphasizes timely processing of submissions and minimal backlogs in publication time. We review papers and advise authors of their paper status with a target turnaround time of 2 months.</p> <p>International Journal of Maps in Mathematics provides immediate open access to its content on the principle that making research freely available to the academic community. No page charges for publications in this journal.</p> <p> </p> Bayram Sahin en-US International Journal of Maps in Mathematics 2636-7467 <p>The copyright to the article is transferred to body International Journal of Maps in Mathematics effective if and when the article is accepted for publication.</p> <ul> <li>The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.</li> <li>An author may make his/her article published by body&nbsp;International Journal of Maps in Mathematics available on his/her home page provided the source of the published article is cited and body&nbsp;International Journal of Maps in Mathematics is mentioned as copyright owner.</li> <li>The author warrants that this contribution is original and that he/she has full power to make this grant. The author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted by body&nbsp;International Journal of Maps in Mathematics.</li> </ul> https://simadp.com/journalmim/article/view/472 <p>Feature selection is a fundamental process in machine learning that involves identifying and selecting the most informative features from a dataset to be used in model training. This step is crucial, as it can significantly enhance model performance, mitigate overfitting, reduce computational complexity, and improve the interpretability of the resulting models. By eliminating irrelevant or redundant features, feature selection facilitates the development of more efficient and accurate predictive models. Therefore, the development of new feature selection algorithms is of great importance. In this study, a novel feature selection algorithm—Feature Selection using Global k-Means (FS-GKM)—is proposed. In this study, a novel feature selection algorithm—Feature Selection using Global k-Means (FS-GKM)—is proposed. The method leverages the global k-means clustering algorithm to group features based on their similarity. Subsequently, the algorithm assesses the discriminative power of features by analyzing class density distributions within each cluster. This clustering-based evaluation enables the identification of features that contribute most significantly to class separability. To validate the effectiveness of the FS-GKM method, a comprehensive experimental analysis was conducted using 13 benchmark datasets. Each dataset was subjected to dimensionality reduction through 13 different feature selection techniques, and the resulting feature subsets were evaluated using four distinct classifiers. The proposed FS-GKM algorithm achieved superior performance in 40 out of 52 comparative cases, demonstrating its robustness and effectiveness across diverse scenarios.</p> Duygu Selin Turan Copyright (c) 2026 International Journal of Maps in Mathematics 2026-03-16 2026-03-16 9 1 141 159 https://simadp.com/journalmim/article/view/429 <p>The study focuses on normalized null hypersurfaces within semi-Riemannian manifolds that possess torse-forming vector fields. We demonstrate that these hypersurfaces exhibit a triple product structure. Additionally, we present obstruction results related to both topology and specific geometric criteria concerning the rigging and rigged vector field. We also provide a result on the splitting of the hypersurface, which is endowed with its rigged Riemannian structure. Furthermore, taking the potential vector field as the screen component of a torse-forming vector field, we investigate screen distribution with Ricci solitons.</p> Theophile Kemajou Mbiakop Charles Abboang Aveved Copyright (c) 2026 International Journal of Maps in Mathematics 2026-03-16 2026-03-16 9 1 160 180