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20112026
most citedEnabling and Emerging Technologies for Social Distancing: A Comprehensive Survey and Open Problems

167 citations

Showing 2025Show all

11 papers · 1 filter

eess.IV2025★ 1 cited

Meta-learners for few-shot weakly-supervised optic disc and cup segmentation on fundus images

Pandega Abyan Zumarsyah, Igi Ardiyanto, Hanung Adi Nugroho

This study develops meta-learners for few-shot weakly-supervised segmentation (FWS) to address the challenge of optic disc (OD) and optic cup (OC) segmentation for glaucoma diagnos…

hep-ph2025★ 1 cited

Determination of the HERA coherent diffractive production cross section via artificial neural network

Taufiq Iqbal Baihaqi, Chalis Setyadi, Zulkaida Akbar +2

An exclusive coherent diffractive production dataset from HERA, covering a large kinematic range in the photon virtuality , the squared momentum transfer , and the ph…

cs.DC2025

SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling

Muhammad Alfian Amrizal, Raka Satya Prasasta, Santana Yuda Pradata +3

High-performance computing (HPC) systems consume enormous amounts of energy, with idle nodes as a major source of energy waste. Powering down idle nodes can mitigate this problem,…

math.CO2025

Exploring the 3-Token Graph of Particular Graphs

Felicia Servina Djuang, Arizka Yuliana, Widi Bagaskara +1

This study investigates the properties of the 3-token graph derived from path graphs, with a particular focus on its structural characteristics and key attributes. We analyze how t…

cs.RO2025

Seq-DeepIPC: Sequential Sensing for End-to-End Control in Legged Robot Navigation

Oskar Natan, Jun Miura

We present Seq-DeepIPC, a sequential end-to-end perception-to-control model for legged robot navigation in real-world environments. Seq-DeepIPC advances intelligent sensing for aut…

gr-qc2025★ 1 cited

Preventing Curvature Singularities in Dark Energy Models

Romy Hanang Setya Budhi, Nehla Shobcha, Norma Sidik Risdianto

The curvature singularity problem in dark energy models poses a significant challenge to their viability as alternatives to the CDM paradigm. In this work, we investigate…