IEEE

Recent Advances of Signal Acquisition Approaches for Microfluidic Impedance Flow Cytometry

Abstract: Microfluidic impedance flow cytometry (IFC) is a widely used technique for high-throughput analysis and single-cell identification, analyzing cells based on their electrical properties ...
IEEE

CAGE: A Curiosity-Driven Graph-Based Explore-Exploit Algorithm for Solving Deterministic Environment MDPs With Limited Episode Problem

Abstract: The explore-exploit dilemma in Markov Decision Processes (MDPs) is a fundamental challenge, especially in deterministic environments akin to real-world scenarios. Balancing exploration and ...
IEEE

Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing

Abstract: We delve into the issue of node classification within graphs, specifically reevaluating the concept of neighborhood aggregation, which is a fundamental component in graph neural networks ...
IEEE

Optimization-Based Task and Motion Planning Under Signal Temporal Logic Specifications Using Logic Network Flow

Abstract: This paper proposes an optimization-based task and motion planning framework, named “Logic Network Flow”, to integrate signal temporal logic (STL) specifications into efficient mixed-binary ...
IEEE

Enhanced Non-Invasive Diabetes Classification with Effective Photoplethysmogram Signal Features for Future Point-of-Care Diagnostics

Abstract: The global diabetes point-of-care (POC) biosensor market has seen substantial growth, driven by the increasing prevalence of diabetes and the demand for non-invasive glucose monitoring ...
IEEE

Spiking-STGCN: A Lightweight Spiking Spatio-Temporal Graph Convolutional Network Model for Urban Traffic Flow Prediction

Abstract: Urban traffic flow prediction holds significant application value in Intelligent Transportation Systems (ITS). This paper proposes a Spiking Spatio-Temporal Graph Convolutional Network ...
The Lancet

Health outcomes up to 3 years and post-exertional malaise in patients after hospitalization for COVID-19: a multicentre prospective cohort study (CO-FLOW)

aDepartment of Respiratory Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands bDepartment of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam ...
IEEE

Cross-Entropy Firefly Algorithm-Assisted Deep Reinforcement Learning for Flexible Flow Shop Scheduling Problems

Abstract: The Flexible Flow Shop Scheduling Problem (FFSP) involves scheduling jobs across multiple machines with flexible operation sequences. As an NP-hard problem with discrete variables and ...