Results 71 to 80 of about 1,934,556 (268)
Applied Sciences, 2018 This paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering the existence of malicious jamming and co-channel interference, we design an interference-aware cooperative anti-jamming
Yifan Xu +5 more
doaj +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Advanced Science, EarlyView.Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Advanced Science, EarlyView.A subset of tumor‐associated macrophages (TAMs) characterized by SPP1 expression is discovered, which may remodel the tumor microenvironment by potentially promoting CD4+ T cell stress and maintaining epithelial cell stemness through SPP1‐CD44, thereby potentially contributing to the proliferation and migration of tumor cells, which has been verified ...
Xinhui Yuan +5 more
wiley +1 more source
Anti-Jamming Communication Using Slotted Cross Q Learning
, 2023 Most of the existing intelligent anti-jamming communication algorithms model sensing, learning, and transmission as a serial process, and ideally assume that the duration of sensing and learning timeslots is very short, almost negligible.
Boyu Wan +3 more
core +1 more source
Advanced Electronic Materials, EarlyView.The structural characteristics and resonant mechanical behavior of suspended microbridges comprised of single‐crystalline SrTiO3 that has been grown on silicon are presented. Due to differences in thermal expansion between the SrTiO3 and silicon, we find that the resonant frequencies of the microbridges are not only enhanced, but also hyper‐sensitive ...
Deepa Guragain +8 more
wiley +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
, 2007 We propose a novel bit error ratio (BER) analysis technique for fast frequency hopping (FFH) assisted M-ary frequency shift keying (MFSK) using product combining (PC), when the channel is contaminated by partial band noise jamming (PBNJ).
Ahmed, S., Yang, L-L., Hanzo, L.
core +1 more source
Jamming Modulation: An Active Anti-Jamming Scheme
, 2022 Providing quality communications under adversarial electronic attacks, e.g., broadband jamming attacks, is a challenging task. Unlike state-of-the-art approaches which treat jamming signals as destructive interference, this paper presents a novel active ...
Li, Qiang +5 more
core
Stakeholder Perspectives on Therapeutic and Safe Building Design in Residential Care
Australian Journal of Social Issues, EarlyView.ABSTRACT Residential care is a form of out‐of‐home care that plays a critical role in supporting vulnerable young people in Australia. However, there is an evidence gap regarding the built environment in this context. This research aimed to explore the perspectives of key stakeholders in residential care in Victoria, Australia, regarding design that ...
Carmen Schroder +3 more
wiley +1 more source
Mobile jammers pose a critical security threat to 5G networks. Our project is an anti-jamming system that combines an angle of arrival estimation method, beamforming, and a machine learning model.
Holguin, Olivia, Donati, Rachel
core +3 more sources