activity
20172026
most citedIndoor Positioning using Wi-Fi and Machine Learning for Industry 5.0

1 citations · 1 across the 5 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Structure-Aware Graph Abstention for Reliable Selective Forecasting

Jianxiang Xie, Belal Alsinglawi

Selective forecasting abstains on high-risk test windows under a retained-coverage budget. Existing gates such as TEM (Brusokas et al., 2025) score each forecast as a whole; for mu…

cs.MA2026

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents

Belal S. Alsinglawi, Weizheng Wang, Junyi Wu +4

In IoT-enabled smart-city settings, Uncrewed Aerial Vehicles (UAVs) are evolving from passive sensing platforms into cyber-physical decision makers that must respect operational ru…

cs.CR2026

Optimizing IoT Intrusion Detection with Tabular Foundation Models for Smart City Forensics

Asma Al-Dahmani, Abdulla Bin Safwan, Mohammad Obeidat +1

Security operations in smart cities demand detection systems that balance accuracy with response time. While ensemble methods like Random Forest achieve high accuracy, their comput…

cs.LG2025

HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network

Yifan Lu, Ziyun Zou, Belal Alsinglawi +6

Graph Transformers have recently achieved remarkable progress in graph representation learning by capturing long-range dependencies through self-attention. However, their quadratic…

cs.CV2025

DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification

Chihan Huang, Belal Alsinglawi, Islam Al-qudah

Recent advances in deep neural networks (DNNs) have led to remarkable success across a wide range of tasks. However, their susceptibility to adversarial perturbations remains a cri…

cs.CV2025

A Lightweight Large Vision-language Model for Multimodal Medical Images

Belal Alsinglawi, Chris McCarthy, Sara Webb +2

Medical Visual Question Answering (VQA) enhances clinical decision-making by enabling systems to interpret medical images and answer clinical queries. However, developing efficient…

cs.RO2023★ 1 cited

Indoor Positioning using Wi-Fi and Machine Learning for Industry 5.0

Inoj Neupane, Belal Alsinglawi, Khaled Rabie

Humans and robots working together in an environment to enhance human performance is the aim of Industry 5.0. Although significant progress in outdoor positioning has been seen, in…

cs.NI2017

RFID Localisation For Internet Of Things Smart Homes: A Survey

Belal Alsinglawi, Mahmoud Elkhodr, Quang Vinh Nguyen +3

The Internet of Things (IoT) enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. The IoT incorporates multiple l…