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A robust and dynamic malware detection and classification model using behavioral-based analysis and BERT technique. [PDF]
Alhazmi AH.
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Dynamic Modeling and Analysis for Design of Memristive and Static Random Access Memories
Yenpo Ho
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Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness. [PDF]
Samy H, Bahaa-Eldin AM, Sobh MA, Taha A.
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Dynamic token encryption for preventing permission leakage in serverless architectures. [PDF]
Liu Y, Li F, Sun C.
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Deep learning predicts real-world electric vehicle direct current charging profiles and durations. [PDF]
Li S +4 more
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MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]
Bragança H +4 more
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2D Materials‐Based Static Random‐Access Memory
Advanced Materials, 2022Abstract2D 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 +6 more
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High-speed GaAs static random-access memory
IEEE Transactions on Electron Devices, 1982An 8-bit fully decoded RAM test circuit has been designed and fabricated using enhancement-mode GaAs-MESFET's with the LPFL circuit approach. Correct operation of the circuit has been observed for a supply voltage varying from 3.5 to 7 V. An access time of 0.6 ns was measured for a total power consumption of 85 mW under nominal operating conditions ...
G. Bert +3 more
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