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Jisuanji kexue
Scopus
ISSN 1002-137X · Editorial office of Computer Science · 2,346 articles in the index
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Research on Safety Analysis of Mode Transition of Flight Guidance System Based on STPA
In the process of automatic flight of civil aircraft,the mode transition of the flight guidance system is an important factor affecting safety and should be subject to a comprehensive safety analysis.Traditional safety analysis methods mainly focus on the failure factors of individual…
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Section Sparse Attack:A More Powerful Sparse Attack Method
Deep neural networks(DNNs) have long been threatened by adversarial attacks,particularly sparse attacks in black-box attacks.These attacks rely on the target model’s output to guide the generation of adversarial examples and typically deceive image classifiers by perturbing only a few…
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Attack Graph-assisted Deep Reinforcement Learning-based Service Function Chain AttackRecovery Method
SFC can provide customized services for the six scenarios of 6G with the advantages of on-demand orchestration,flexible networking,and other benefits,and 6G networks also put forward higher requirements for SFC.Resilience is receiving attention for the first time in 6G networks,requiring SFC to…
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Tor Multipath Selection Based on Threaten Awareness
With the development and application of machine learning and deep learning,attackers can conduct traffic analysis on malicious nodes and malicious AS on Tor user links,thus carrying out de-anonymization attacks on Tor users.At present,one of the common defense methods for traffic analysis attacks…
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Bidirectional Prompt-Tuning for Event Argument Extraction with Topic and Entity Embeddings
In recent years,prompt learning has been widely applied in the field of natural language processing.According to research,argument roles are highly semantically related to topics in text,and existing prompt tuning methods overlook entity information and interactions between arguments.Therefore,this…
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Composite Trigger Backdoor Attack Combining Visual and Textual Features
A backdoor attack refers to an attack covertly poisoning the dataset,subtly inducing the victim model to associate the poisoned data with a target label,thereby posing a threat to the trustworthiness and security of artificial intelligence technologies.Existing backdoor attack methods generally…
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Cross-language Knowledge Graph Entity Alignment Based on Meta-learning
Cross-language knowledge graph entity alignment is a key step in connecting knowledge graphs of different languages,and it plays an important role in tasks such as multilingual information retrieval and data fusion.However,the existing entity alignment methods rely on a variety of information in…
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PBFT Consensus Algorithm Based on Bayesian Theory
Consensus algorithm is a method to ensure that all nodes in the blockchain network reach a consensus,such as PoW and PoS.The consensus mechanism affects the performance of the blockchain system.In order to solve the problems of low throughput and long delay of existing blockchain consensus…
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Energy-efficient Task Scheduling on Heterogeneous Multicore Real-time Systems with Synchronization
The research on energy-efficient scheduling of synchronous tasks in multi-core real-time systems mainly focuses on homogeneous multi-core processor platforms.The architecture of heterogeneous multi-core processors can more effectively exert the system performance.If the existing research is…
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EvR-DETR:Event-RGB Fusion for Lightweight End-to-End Object Detection
Event cameras based on neuromorphic spike signals can provide information about illumination changes,compensating for the performance degradation of traditional RGB cameras in object detection under adverse environments.However,existing methods fusing event cameras with conventional cameras suffer…
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Collaborative Semantics Fusion for Multi-agent Behavior Decision-making
Multi-agent decision-making offers extensive engineering applications,particularly in the cooperative control tasks.Po-licy gradient-based reinforcement learning methods,which directly model policy distributions,are more conducive to exploring diverse strategies in complex reward scenarios.These…
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Survey on Security of Android SDKs
Android SDK is a software toolkit used for Android application development.Since a single Android SDK can be integrated into multiple applications,its security implications for the installation ecosystem are chain-like,exposing the Android ecosystem to comprehensive threats from SDKs.In recent…
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Reinforcement Learning Method for Solving Flexible Job Shop Scheduling Problem Based onDouble Layer Attention Network
Flexible job shop scheduling problem(FJSP),as a variant of the job shop scheduling problem,has become an important research topic in the intelligent transformation of modern manufacturing industry due to the wide applicability.In recent years,deep reinforcement learning(DRL) has been applied to…
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Adaptive Box-constraint Optimization Method for Adversarial Attacks
Deep neural networks are vulnerable to adversarial example attacks.Existing transfer-based attack optimization methods commonly employ fixed constraint upper bounds to represent imperceptibility intensity,focusing primarily on improving attack success rates.However,such approaches overlook…
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PKHOI:Enhancing Human-Object Interaction Detection Algorithms with Prior Knowledge
HOI detection plays a crucial role in visual scene understanding.With the advancement of deep learning technologies,vision-based interaction detection models have achieved promising performance.However,most existing methods lack the utilization of prior logical knowledge,sometimes leading to…
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Research on User Data-driven App Fading Functions
In order to effectively promote App function iteration,most existing studies generally focus on improving existing functions or adding new functions to promote version update by mining user requirements in user reviews,while neglecting to identify functions that should be eliminated from user…
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Variational Quantum Algorithm for Solving Discrete Logarithms
The discrete logarithm problem is a significant challenge in number theory,and due to the difficulty of solving it,classical computers lack efficient algorithms for this task.As a result,the discrete logarithm problem is widely used in public key cryptosystems,and if it were cracked,it would pose a…
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Multi-task Speech Emotion Recognition Incorporating Gender Information
Existing methods for speech emotion recognition usually rely on deep learning models to extract acoustic features,but most of them focus only on modelling generic features,failing to fully explore a priori knowledge in the data that is closely related to emotion.To this end,this paper proposes an…
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Visual Floorplan Localization Based on BEV Perception
Visual floorplan localization task achieves pose estimation by matching visual observation with scene floorplan representation.In practical applications,how to effectively integrate geometric and semantic correlations between observation and floorplan in matching is particularly important for…
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Camouflaged Object Detection for Aerial Images Based on Bidirectional Cross-attentionCross-domain Fusion
To address the challenges of highly integration with the environment and the high demand for real-time performance,this paper proposes a camouflaged object detection model for aerial images using bidirectional cross-attention cross-domain fusion.Firstly,a feature extraction network with two…
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