India's stationary air-quality monitoring network remains sparse, particularly in underserved urban and peri-urban areas. EcoPulse-India addresses this limitation by using public transit buses as mobile sensing platforms within an integrated artificial intelligence of things (AIoT) framework. The fr...

This study introduces GenAI-FDT (GenFedTwin Resilience), a decentralized architecture designed to address the growing vulnerability of IoT-enabled smart infrastructures to climate change, particularly in the context of data silos, strict privacy regulations, and the scarcity of ground-truth data for...

Morphology engineering stands as a cornerstone strategy to boost the light harvesting and charge transport properties of wide-bandgap oxide photocatalysts. Herein, a Zn$_2$GeO$_4$ photocatalyst with a highly symmetric conical bundle architecture is successfully fabricated via modulating the dosage o...

Contemporary medicine is shifting from reactive, symptom-based treatment toward proactive, preventive intervention, yet endocrine and metabolic disorders frequently progress through subtle, subclinical phases that are overlooked during routine primary-care encounters, delaying diagnosis and increasi...

With the expansion of artificial intelligence, data center energy consumption has surged, making its optimization critical for achieving carbon neutrality. Traditional fixed-rule controls rely too heavily on manual experience to explore the highest efficiency, while standard AI black-box models ofte...

Accurate prediction of the internal temperature field in batteries is of critical importance for ensuring safe operation, extending battery lifespan, and ultimately accelerating the global transition to electric vehicles (EVs). Unsafe thermal conditions not only degrade battery performance but also...

The firefly algorithm (FA) is a nature-inspired metaheuristic increasingly applied to medical image segmentation because of its flexible search mechanism and optimization capability. This paper systematically reviews FA-based approaches for medical image segmentation and related image-analysis tasks...

The present study systematically investigates the effects of surface nitriding treatment on the laser-assisted machining behavior of TC4 titanium alloy. Numerical simulations were conducted using the ABAQUS finite element platform to elucidate the influence of nitriding on cutting force, cutting tem...

Ti-6Al-4V titanium alloy (TC4) has been extensively applied in advanced manufacturing fields owing to its outstanding combination of mechanical properties and corrosion resistance. However, its poor machinability remains a critical challenge that limits further application. In this study, the effect...

Fire and smoke detection in electric vehicle environments is essential for safety monitoring, yet existing methods often perform poorly under low-light conditions because of weak feature representation, flame overexposure, and limited nighttime data. In addition, many detection models cannot effecti...