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Works385 from public data
- Sentiment analysis using deep learning approaches: an overview186
This paper reviews deep learning approaches that have been applied to various sentiment analysis tasks and their trends of development, and provides the performance analysis of different deep learning models on a particular dataset at the end of each sentiment analysis task.
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- High-Throughput Calculations for High-Entropy Alloys: A Brief Review135
Four different calculation methods that are usually applied to accelerate the development of novel HEA compositions are presented, that is, empirical models, first-principles calculations, calculation of phase diagrams (CALPHAD), and machine learning.
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- Efficient multi-keyword ranked query over encrypted data in cloud computing116
This paper proposes a flexible multi-keyword query scheme, called MKQE, which greatly reduces the maintenance overhead during the keyword dictionary expansion and takes keyword weights and user access history into consideration when generating the query result.
- The Security and Privacy of Mobile-Edge Computing: An Artificial Intelligence Perspective99
This article comprehensively provides a survey of security and privacy in MEC from the perspective of AI, using European Telecommunications Standards Institute MEC reference architecture as a framework while merging the software-defined network (SDN) and network function virtualization (NFV) to better illustrate a serviceable platform of MEC.
- Hierarchical Local-Global Transformer for Temporal Sentence Grounding98
A novel Hierarchical Local-Global Transformer (HLGT) is proposed to leverage this hierarchy information and model the interactions between different levels of granularity and different modalities for learning more fine-grained multi-modal representations.
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- Secure sensitive data sharing on a big data platform98
A proxy re-encryption algorithm based on heterogeneous ciphertext transformation and a user process protection method based on a virtual machine monitor are presented, which provides support for the realization of system functions and protects the security of users' sensitive data effectively and shares these data safely.
- Trajectory planning for UAV navigation in dynamic environments with matrix alignment Dijkstra80
A new forward exploration and backward navigation algorithm, matrix alignment Dijkstra (MAD), to pilot UAVs, which can achieve UAV path planning from one source cell to multiple target cells within one single run and can be accelerated on a GPU.
- Incremental K-clique clustering in dynamic social networks77
Experimental results show that incremental k-clique clustering algorithms are much more efficient than corresponding static ones, and have no accumulating errors that incremental spectral clustering algorithm has and can capture the evolving details of the clusters that snapshot graph model based algorithms miss.
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- Blockchain-based verification framework for data integrity in edge-cloud storage71
This paper proposes a blockchain-based framework without TPA for data integrity verification in a decentralized edge-cloud storage (ECS) scenario and proposes sampling verification and develops rational sampling strategies to make sampling verification more effective.
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- A MapReduce task scheduling algorithm for deadline constraints69
An extensional MapReduce Task Scheduling algorithm for Deadline constraints in Hadoop platform: MTSD is proposed which can improved data locality observably to compare with default scheduler and it also can improve other scheduler’s locality.
- Optimization scheme of wind energy prediction based on artificial intelligence60
By improving the mode number selection in the variational mode decomposition, the characteristics of wind speed data can be better extracted and will help to promote the development of wind energy prediction field, help wind farms formulate wind power regulation strategies, and further promote the construction of green energy structure.
- EADP: An extended adaptive density peaks clustering for overlapping community detection in social networks59
An extended adaptive density peaks clustering for overlapping community detection, called EADP, which takes weights into consideration and incorporates a novel distance function based on common nodes to measure the distance between nodes.
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- Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey53
A large-scale benchmark is established to revisit this problem and analyze the performance of the state-of-the-art NCCL approaches and the important challenges and future research directions in NCCL are discussed.
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- Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language49
This paper proposes a novel model OpenVMR, which first distinguishes ID and OOD queries based on the normalizing flow technology, and then conducts moment retrieval based on ID queries, and first distinguishes ID and OOD queries based on the normalizing flow technology, and then conducts moment retrieval based on ID queries.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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