output
20042026
most citedState-of-the-art generalisation research in NLP: A taxonomy and review

70 citations

46 papers

math-ph2026

Lie symmetry classification and invariant solutions of time-fractional telegraph systems with variable coefficients

Sodbaatar Adiya, Khongorzul Dorjgotov, Bayarmagnai Gombodorj +2

Time-fractional telegraph equations provide fundamental mathematical models for transport processes that exhibit memory and nonlocal effects in industrial and physical systems. The…

hep-lat2025

Rotationally invariant dynamical lattice regulators for Euclidean quantum field theories

Tsogtgerel Gantumur

We introduce a dynamical lattice regulator for Euclidean quantum field theories on a fixed hypercubic graph , in which the embedding is pr…

nucl-ex2025★ 2 cited

Energy dependence of isomeric ratios for alpha-particle-induced reactions on natural platinum up to 50 MeV studied by simultaneous decay curve analysis

Naohiko Otuka, Masayuki Aikawa, Sándor Takács +5

The isomeric ratios and cross sections were measured up to 50 MeV for production of Au, Hg, Hg and other Hg, Au and Pt radionuclides in irradiation…

cs.CY2025★ 12 cited

DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling

Matteo Busso, Andrea Bontempelli, Leonardo Javier Malcotti +23

Understanding everyday life behavior of young adults through personal devices, e.g., smartphones and smartwatches, is key for various applications, from enhancing the user experien…

math.AP2024

Solutions of time fractional anomalous diffusion equations with coefficients depending on both time and space variables

Ganbileg Bat-Ochir, Khongorzul Dorjgotov, Uuganbayar Zunderiya

We derive explicit solutions for time-fractional anomalous diffusion equations with diffusivity coefficients that depend on both space and time variables. These solutions are expre…

cs.HC2023★ 25 cited

Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK

Karim Assi, Lakmal Meegahapola, William Droz +19

Smartphones enable understanding human behavior with activity recognition to support people's daily lives. Prior studies focused on using inertial sensors to detect simple activiti…