output
20042026
most citedLaser spectroscopy of neutron-rich Hg isotopes: Illuminating the kink and odd-even staggering in charge radii across the shell closure

81 citations

26 papers

nucl-ex2026

Mass spectrometry of Zn ground and isomeric states from in-trap decay of Cu

M. Müller, N. A. Althubiti, D. Atanasov +14

We report on high-precision mass measurements of the ground and first isomeric state of Zn, performed using the time-of-flight ion-cyclotron-resonance technique at the ISOLT…

math.DG2025

On Generalized Matsumoto Metrics with a Special -form

A. Soleiman, Ebtsam H. Taha

We explore a generalization of Matsumoto metric intrinsically. Given a Finsler manifold which admits a concurrent -vector field , we consider the change $\wi…

nucl-ex2025★ 1 cited

Extending the low- "border'' of the region of deformation with precision mass spectrometry of Kr

D. Lunney, V. Manea, M. Mougeot +17

The onset of collective nuclear behavior in the , , region is examined through high-precision mass measurements of Kr, performed with the ISOLTRAP mas…

cs.LG2025★ 10 cited

Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data

Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski +4

The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge for developing analytical and computational models in precision cancer diagnost…

cs.NI2024

Outstanding framework for simulating and generating anchor trajectory in wireless sensor networks

Abdelhady Naguib

This paper proposes a framework that has the ability to animate and generate different scenarios for the mobility of a movable anchor which can follow various paths in wireless sen…

cs.LG2024★ 14 cited

LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification

Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir +1

The application of machine learning methods to analyze changes in gene expression patterns has recently emerged as a powerful approach in cancer research, enhancing our understandi…