Results 201 to 210 of about 52,126 (300)

In-Memory Shellcode Runner Detection in Internet of Things (IoT) Networks: A Lightweight Behavioral and Semantic Analysis Framework. [PDF]

Sensors (Basel)
Dora JR, Hluchý L, Staňo M.
europepmc   +1 more source

Expandable Nanocomposite Shape‐Memory Hemostat for the Treatment of Noncompressible Hemorrhage

Advanced Science, EarlyView.
A nanocomposite‐coated shape memory foam rapidly expands, accelerates clotting, and reduces blood loss in vivo. Its fast volumetric expansion and strong procoagulant activity make it a promising hemostat for treating deep, noncompressible hemorrhage.
Saptarshi Biswas, Sarah E. Miller, Shounak Roy, Jeevika Thazhaiselvam, Samantha Foster, Manivannan Sivaperuman Kalairaj, Sasha M. George, Yava Jones‐Hall, Staci J. Horn, Fred J. Clubb, Taylor H. Ware, Duncan J. Maitland, Akhilesh K. Gaharwar   +12 more
wiley   +1 more source

AI-Driven Dynamic Covariance for ROS 2 Mobile Robot Localization. [PDF]

Sensors (Basel)
Abaza BF.
europepmc   +1 more source

A robust and dynamic malware detection and classification model using behavioral-based analysis and BERT technique. [PDF]

PLoS One
Alhazmi AH.
europepmc   +1 more source

Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness. [PDF]

Sci Rep
Samy H, Bahaa-Eldin AM, Sobh MA, Taha A.
europepmc   +1 more source

Dynamic token encryption for preventing permission leakage in serverless architectures. [PDF]

PeerJ Comput Sci
Liu Y, Li F, Sun C.
europepmc   +1 more source

Deep learning predicts real-world electric vehicle direct current charging profiles and durations. [PDF]

Nat Commun
Li S, Zhang M, Doel R, Ross B, Piggott MD.   +4 more
europepmc   +1 more source

MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]

Sci Data
Bragança H, Kreutz D, Rocha V, Assolin J, Feitosa E.   +4 more
europepmc   +1 more source

Coagulation Risk Prediction in Patients With Liver Failure: Integrated Meta-Analysis and Machine Learning Model Study.

JMIR Med Inform
Wang H, He T, Ren L, Zhang T.
europepmc   +1 more source

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2D Materials‐Based Static Random‐Access Memory

Advanced Materials, 2022
Abstract2D transition‐metal dichalcogenide semiconductors, such as MoS2 and WSe2, with adequate bandgaps are promising channel materials for ultrascaled logic transistors. This scalability study of 2D material (2DM)‐based field‐effect transistor (FET) and static random‐access memory (SRAM) cells analyzing the impact of layer thickness reveals that the ...
Chang‐Ju Liu, Yi Wan, Lain‐Jong Li, Chih‐Pin Lin, Tuo‐Hung Hou, Zi‐Yuan Huang, Vita Pi‐Ho Hu   +6 more
openaire   +3 more sources