Heterogeneous Fenton-like systems activated by peroxymonosulfate represent promising platforms for organic wastewater treatment but are significantly hampered by competing adsorption and catalytic oxidation processes at identical active sites. To res... read more
Exposure to airborne fine particulate matter (PM2.5) has been linked to increased risk of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, yet the underlying mechanisms remain unclear. Here, by leveraging a fine-tuned found... read more
Efforts to expedite accurate identification of environmental plastics pollution have strong focus on machine learning (ML) techniques. We published two Raman spectroscopy datasets to support the development of next-generation ML methods. The Raman sp... read more
Major treats to visual health includes diabetic macular edema (DME), age-related macular degeneration (AMD) and retinal vein occlusion (RVO), which require prompt and correct interpretation for effective treatment. Optical coherence tomography (OCT) ... read more
The rapid expansion of edge-cloud computing infrastructures has intensified both cybersecurity demands and the associated energy consumption and carbon footprint of intrusion detection systems (IDS). This paper presents GreenShield, a unified low-car... read more
Differentiated Services Code Point (DSCP) manipulations can distort bandwidth allocation, expose security risks, and degrade performance, yet they are difficult to detect in dynamic traffic. Dynamic traffic flows and sophisticated evasion strategies ... read more
We present a quantum-inspired classification framework designed to identify correlation structures: product, separable, and entangled, in random mixed quantum states. Building on previous work where the Pretty-Good-Measurement (PGM) classifier demons... read more
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