Rapid and rigorous classification of magnesium alloys is essential for industrial manufacturing and recycling, yet it remains challenging due to the subtle spectral variations and severe matrix effects inherent in complex metallurgical environments. This study proposes a novel analytical paradigm synergizing femtosecon...
Kaiqiang Que, Xi Wu, Xiaoyong He· Engineering Applications of...· 0 citations
Multi-focus Image Fusion (MFIF) technique aims to produce a full focused image that preserves the details from source images and enhance image fusion performance. A significant problem in MFIF is accurately segmenting the focused region particularly in complicated images with challenging boundaries. This limitation cau...
Ravpreet Kaur, Sarbjeet Singh· Journal of Modern Optics· 0 citations
Conventional river water quality monitoring is often constrained by high operational costs and maintenance-intensive sensors. To address these limitations, this study proposes a low-cost framework for estimating dissolved oxygen (DO) concentrations without direct DO probes by deploying an Arduino-based multi-sensor arr...
Merve Sürmen, Mehmet Kazim YETİK· Archives of Environmental Pr...· 0 citations
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This paper considers task priority and integrates intelligent reflecting surface (IRS) into traditional UAV-MEC to enhance offloading efficiency and indicates that the system utility of the proposed method is dramatically higher than other benchmark schemes under different scenes.
Liang Zhao, Si-Nong Zhang, Huan Zhou et al.· ACM Transactions on Internet...· 0 citations
Processing data directly at edge nodes reduces latency and enhances data privacy and security, but the lack of advanced cooling on these devices makes them unsuitable for sustained AI training, leading to overheating and accelerated hardware degradation. This paper is motivated by the observation that edge data intensi...
Yanis Mohammedi, Lina Gana, Meriem Bouzouad et al.· 0 citations
Aiming at the problems such as the imbalance between accuracy and efficiency, insufficient adaptability of multi-scale defects and limited inference resources in the deployment of design material defect detection at the edge end, this paper proposes a lightweight detection method based on edge AI. In the training stage...
Jiayu Du, Mengyu Liu· Journal of Digital Frontier· 0 citations
Background Delayed right-sided traumatic diaphragmatic hernia (TDH) may be overlooked during polytrauma assessment because concomitant injuries dominate attention and the liver can obscure diaphragmatic discontinuity. Subsequent respiratory and gastrointestinal symptoms may remain nonspecific until obstruction or visce...
Mengping Duan, Yan Qiao, Zhoubin Duan et al.· Frontiers in Surgery· 0 citations
Human Digital Twins (HDTs) are rapidly emerging as a transformative innovation in personalized
healthcare and predictive medicine. Through the integration of real-time, high-resolution data
from multiple sources like genomics, wearable devices, electronic health records, and behavioral
inputs, HDTs create virtual repli...
Somkene Okpala· International Journal of Med...· 0 citations
In the current era of collaborative edge computing (CEC), secure and efficient authentication mechanisms are essential for data integrity and privacy across distributed edge data centers (EDCs). This paper proposes a novel PUF-based (Physically Unclonable Functions) authentication framework that leverages homomorphic e...
Seema G. Aarella, Saraju P. Mohanty, E. Kougianos et al.· SN Computer Science· 0 citations
Unmanned aerial vehicles (UAVs) are rapidly being used for surveillance, environmental monitoring, disaster response, and intelligent transportation systems. However, protecting their connection remains a significant issue due to open wireless channels, severe energy limits, and the requirement for low-latency computin...
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026