Results 71 to 80 of about 226,838 (267)
IEEE Access, 2020 High computational requirement and rigorous memory cost are the significant issues which limit Convolutional Neural Networks' deployability in resource-constrained environments typically found in edge devices of Internet-of-Things (IoT).
Yang Li, Yuanyuan Bao, Wai Chen
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Compressed Models are NOT Miniature Versions of Large Models
Proceedings of the 33rd ACM International Conference on Information and Knowledge ManagementAccepted at the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) for the Short Research Paper track, 5 ...
Rohit Raj Rai, Rishant Pal, Amit Awekar
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Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk
Molecular Oncology, EarlyView.Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
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Compressing Transitions for Model Checking [PDF]
, 2002 An optimization technique is presented that compresses a chain of transitions into a single jump transition, thus making a model smaller prior to model checking. We give compression algorithms, together with conditions that allow such compressions to preserve next-time-free LTL. Experimental results are presented and discussed.
Robert P. Kurshan +2 more
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Molecular Oncology, EarlyView.Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
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CERBEROS: Compression-Based Efficient and Robust Optimized Security for Model Stealing Defense
IEEE AccessModel stealing attacks pose an increasing threat to the confidentiality and intellectual property of artificial intelligence (AI) models. Existing defenses–such as query monitoring, output perturbation, multi-model output variation, and post hoc ...
Sohyun Keum, Jeonghyun Lee, Sangkyun Lee
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Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs
FEBS Open Bio, EarlyView.Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner +7 more
wiley +1 more source
TinyML for Sustainable Edge Intelligence: Practical Optimization Under Extreme Resource Constraints
TechnologiesDeep learning has emerged as an effective tool for automatic waste classification, supporting cleaner cities and more sustainable recycling systems. Because environmental protection is central to the United Nations Sustainable Development Goals (SDGs ...
Mohamed Echchidmi, Anas Bouayad
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