The proposed rigid motion artifact correction algorithm demonstrates good performance in estimating motion trajectories and compensating for image artifacts, thus providing a viable and robust solution for suppressing rigid motion artifacts in clinical CBCT imaging.
Hao Jiang, Yongbo Wang, Z. Bian· Nan fang yi ke da xue xue ba...· 0 citations
Опрокидывание стреловых самоходных кранов сохраняет положение одного из наиболее тяжёлых по последствиям отказов на строительных площадках. Штатный ограничитель грузового момента настраивается по паспортной грузовой характеристике для горизонтальной опорной площадки и не воспринимает ни фактический угол наклона опорног...
Владимир Алексеевич Вяткин, Данис Айратович Сафин, Олег Антонович Сидоренко et al.· Stroitelʹnye i dorožnye maši...· 0 citations
Настройка силового контура фронтального погрузчика на площадке с несколькими штабелями остаётся ручной, из-за чего одна и та же машина работает на песке и на разборно-скальном грунте с одинаковыми уставками подачи и тяги. Действующие стандарты описывают результат черпания геометрически: вместимость ковша рассчитывается...
Михаил Валерьевич Митякин· Stroitelʹnye i dorožnye maši...· 0 citations
This paper introduced an Intelligent Portable Edge – Cloud Computing Architecture (IPECA) that combines the portable computing hardware, AI-based workload prediction, adaptive resource optimization, container-based virtualization and secure edge-cloud collaboration into a single computing architecture.
Pradeep Kachakayala, Akshith Kachakayala· International Journal for Re...· 0 citations
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This review aims to examine how AI can help optical sensors overcome major barriers limiting their adoption in clinical settings and to identify the major barriers limiting their adoption in clinical settings.
Siyi Zeng, Haoyu Li, Guoliang Ying et al.· Translational Medical Engine...· 0 citations
The massive influx of uplink task offloading in Multi-access Edge Computing (MEC) systems poses a significant challenge to the capacity of wireless networks. This challenge highlights a fundamental trade-off between Orthogonal Multiple Access (OMA), which provides interference-free but spectrally inefficient communicat...
Haolin Liu, Hao Yin, Haibo Zhou et al.· IEEE Transactions on Mobile...· 0 citations
This paper presents a reliability analysis framework for distributed computing in extreme edge computing (XEC) with limited information availability. XEC pushes computation to the outermost boundaries of networks by leveraging consumer-owned devices, known as Extreme Edge Devices (XEDs). Unlike traditional distributed...
Mhd Saria Allahham, Hossam S. Hassanein· IEEE Transactions on Mobile...· 0 citations
Cohesive subgraph mining has been extensively studied and finds numerous graph mining applications such as link farm identification, community detection, and product recommendation. Among various cohesive subgraph structures, the <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k...
Qifan Zhang, Yang Liu, Kaiqiang Yu et al.· IEEE Transactions on Knowled...· 0 citations
Advancements in edge computing and container technology have made it increasingly popular and convenient to deploy Large Language Models (LLMs) through containers at the edge. However, the limited GPU resources of edge servers make it impractical to retain the model in GPU memory for long periods due to the high memory...
Zhenzheng Li, Zhiqing Tang, Jianxiong Guo et al.· IEEE Transactions on Mobile...· 1 citation
Dispersed computing has emerged as a promising paradigm that leverages underutilized resources from massive Internet of Things devices (IoTDs) to enhance the computing capacity at the network edge. However, existing works about the dispersed computing overlook the heterogeneous computing environment with parallel and s...
Xumin Huang, Zexiong Wu, Chaoda Peng et al.· IEEE Transactions on Mobile...· 2 citations
We consider the energy-constrained task allocation problem in large-scale Aerial Edge Computing (AEC) systems, which encompasses a series of tightly coupled decision-making processes, including which tasks need to be processed by uncrewed aerial vehicles (UAVs), how to allocate these tasks and balance energy across UAV...
Lianbo Ma, Ding-Xuan Chen, Yuee Zhou et al.· IEEE Transactions on Mobile...· 0 citations
To address the urgent practical challenge of service migration for connected autonomous vehicles (CAVs) in mobile edge computing (MEC), this study aims to maximize the task completion rate, particularly for safety-critical operations. Existing approaches often overlook the completion status of tasks with different prio...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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