Direct kernel fuzzing is a targeted approach that focuses on specific areas of the kernel, effectively addressing the challenges of frequent updates and the inherent complexity of operating systems, which are critical...
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In general, animation character design exercise done by designers using design process, in which they draw character concept first and then they generate the 3D model of the character. However, Gen-Z design students l...
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The promise of increased efficiency and dependability has drawn much attention to hybrid energy systems combining several energy sources. This study suggests integrating a fuel cell, a battery system through a bidirec...
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Entity-Component-System (ECS) is a fundamental architecture of game engines. It consists of entities (identities), components (data), and systems (logical units). It schedules the system graph to drive the update loop...
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In recent years, several hardware-based countermeasures proposed to mitigate Spectre attacks have been shown to be insecure. To enable the development of effective secure speculation countermeasures, we need easy-to-u...
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Light field cameras hold significant value in applications such as depth estimation, 3D video acquisition, and image super-resolution. Compared to traditional single-image super-resolution methods, light field images ...
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A strategy driven by AI is suggested for refactoring legacy systems. This involves categorizing system functions into commands and queries for implementing CQRS. A key-value AI transformer is utilized to examine the s...
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Speaker recognition (SR) systems are particularly vulnerable to adversarial example (AE) attacks. To mitigate these attacks, AE detection systems are typically integrated into SR systems. To overcome the limitations o...
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In the Internet of Things (IoT) there are ecosystems where their physical’smart’ entities virtually interact with each other. Often, this interaction occurs among unknown entities, making trust an essential requirem...
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The advent of high-throughput transcriptomic technologies has generated vast transcriptomic datasets, challenging current analytical methodologies with their sheer volume and complexity. The Grouping-Scoring Modeling ...
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