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- University of Electronic Science and Technology of ChinaCN28 papers
- Shanghai Jiao Tong UniversityCN25 papers
- Stockholm UniversitySE21 papers
- Beijing Computational Science Research CenterCN19 papers
- University of the Basque CountryES19 papers
- IkerbasqueES18 papers
- National Key Laboratory of Science and Technology on CommunicationsCN17 papers
- Zhejiang UniversityCN17 papers
- Columbia UniversityUS15 papers
- City University of New YorkUS12 papers
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645 papers
D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection
Ghazal Ghajari, Elaheh Ghajari, Ashutosh Ghimire +3
Anomaly detection is a fundamental component of intelligent systems with applications in healthcare, cybersecurity, smart grids, and IoT environments. Although conventional machine…
Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
Wenzhe Song, Hao Zhang
The imminent integration of autonomous vehicles and mobile robots in urban settings presents a critical safety challenge for future intelligent transportation systems. This paper a…
Entanglement Dynamics of Separable Squeezed States in Finite Memory Structured Reservoir
Austen Couvertier, Ting Yu
Entanglement in continuous-variable Gaussian systems is a key resource, and common reservoirs can both suppress and generate correlations. Existing work focused on pre-entangled st…
Task-Adaptive Admittance Control for Human-Quadrotor Cooperative Load Transportation with Dynamic Cable-Length Regulation
Shuai Li, Ton T. H. Duong, Damiano Zanotto
The collaboration between humans and robots is critical in many robotic applications, especially in those requiring physical human-robot interaction (pHRI). Previous research in pH…
Measuring Complexity at the Requirements Stage: Spectral Metrics as Development Effort Predictors
Maximilian Vierlboeck, Antonio Pugliese, Roshanak Rose Nilchian +2
Complexity in engineered systems presents one of the most persistent challenges in modern development since it is driving cost overruns, schedule delays, and outright project failu…
Freezing of Gait Prediction using Proactive Agent that Learns from Selected Experience and DDQN Algorithm
Septian Enggar Sukmana, Sang Won Bae, Tomohiro Shibata
Freezing of Gait (FOG) is a debilitating motor symptom commonly experienced by individuals with Parkinson's Disease (PD) which often leads to falls and reduced mobility. Timely and…