Results 51 to 60 of about 222,584 (313)
Z2F: Heterogeneous graph-based Android malware detection.
PLoS ONEAndroid malware is becoming more common, and its invasion of smart devices has brought immeasurable losses to people's lives. Most existing Android malware detection methods extract Android features from the original application files without considering
Ziwei Ma, Nurbor Luktarhan
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Android Malware Detection Based on API Pairing
Xibei Gongye Daxue Xuebao, 2020 Aiming at the problem that the permission-based detection is too coarse-grained, a malware detection method based on sensitive application program interface(API) pairing is proposed.
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Kreano: Jurnal Matematika Kreatif-Inovatif, 2023 This research is motivated by teaching materials used by lecturers in the learning process that have not instilled student interest in learning, so students have difficulty understanding the material provided during distance learning (online). This study
Putri Maisyarah Ammy, Indra Maryanti
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Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
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Analysis of the development Android’s runtime
Journal of Computer Sciences Institute, 2019 The article presents the development of the Android runtime. Own application for Android is presented, which implements performance benchmarks used to test different versions of the Android runtime.
Kostiantyn Honcharenko, Jakub Smołka
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Advanced Materials Technologies, EarlyView.The crosslinked poly(vinyl alcohol) (X‐PVA) in the presence of acidic polymer catalyst (PAMPSA) is formed in solid‐state films by thermal annealing at 150 ℃ for 10 min, delivering the best hysteresis characteristics for efficient organic synaptic transistors (OSTRs) with a recognition accuracy of 96%.
Seungmok Lee +3 more
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Post‐Processing Strengthened 3D Artificial Fingertip with Multi‐Intensity Pain Perception
Advanced Materials Technologies, EarlyView.The 3D multi‐intensity pain‐perceptive artificial fingertip (HBAF) is designed, whose mechanical and conductive properties are highly improved via novel post‐processing. With the soft adhesive gel layer, which is grown on the base of HBAF, it is seamlessly assembled with the robotic hand and further evaluates the safe factor of gripping.
Huijing Li +6 more
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Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection [PDF]
IEEE Transactions on Information Forensics and Security, 2018 Machine learning-based solutions have been successfully employed for the automatic detection of malware on Android. However, machine learning models lack robustness to adversarial examples, which are crafted by adding carefully chosen perturbations to ...
Xiao Chen +7 more
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Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
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An Android Malicious Code Detection Method Based on Improved DCA Algorithm
Entropy, 2017 Recently, Android malicious code has increased dramatically and the technology of reinforcement is increasingly powerful. Due to the development of code obfuscation and polymorphic deformation technology, the current Android malicious code static ...
Chundong Wang +5 more
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