174 Result(s)
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Article
A multi-strategy hybrid cuckoo search algorithm with specular reflection based on a population linear decreasing strategy
The cuckoo search algorithm (CS), an algorithm inspired by the nest-parasitic breeding behavior of cuckoos, has proved its own effectiveness as a problem-solving approach in many fields since it was proposed. ...
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Article
Hierarchical Voronoi Structure Inspired by Cat Paw Pads Substantially Enhances Landing Impact Energy Dissipation
When a human lands from a high drop, there is a high risk of serious injury to the lower limbs. On the other hand, cats can withstand jumps and falls from heights without being fatally wounded, largely due to ...
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Article
Lightweight deep learning model for logistics parcel detection
Logistics parcel detection technology is critical for unmanned sorting. YOLOv5, the state-of-the-art (SOTA) object detection model, is a classic network widely used in engineering. However, on the premise of f...
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Article
Adaptive Event-Triggered Fuzzy Control for Unreliable Networked Control Systems with Time-Varying Delay
This paper aims to investigate an adaptive event-triggered control scheme for unreliable networked control systems with data loss, transmission delay, and time-varying delay described by Takagi–Sugeno (T–S) fu...
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Article
Exploring noise control strategies for UMLS-based query expansion in health and biomedical information retrieval
In the past decades, ontology-based query expansion has been studied to improve health and biomedical information retrieval by many researchers, but the results of previous works are inconsistent. Query expans...
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Article
Attention-based network for passive non-light-of-sight reconstruction in complex scenes
Passive non-line-of-sight (NLOS) reconstruction has received considerable success in diverse fields. However, the existing reconstruction methods ignore that complex scenes attenuate object-related information...
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Chapter and Conference Paper
Link-Breakage Recovery Strategies for Tactical MANET Based on OLSR
Link breakages happen in Tactical MANET due to dynamic topology, leading to interruptions of the end-to-end path and loss of time-sensitive communication messages. The cut-edge problem and the loop issue are t...
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Chapter and Conference Paper
A Lightweight Dual Branch Fusion Network for Single Image Deraining
Transformers have shown promise in high-level vision tasks, but their direct application to low-level vision can lead to artifacts and high computational costs. To strike a balance between image quality and co...
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Chapter and Conference Paper
DZIP: A Data Deduplication-Compatible Enhanced Version of Gzip
Data deduplication is a common method for reducing storage space in backup storage systems. Despite extensive research aimed at improving the efficiency of data deduplication, we have observed poor compatibili...
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Article
Deep non-negative matrix factorization with edge generator for link prediction in complex networks
Link prediction aims to infer missing links or predict future links based on observed topology or attribute information in the network. Many link prediction methods based on non-negative matrix factorization (...
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Article
MORE: Toward Improving Author Name Disambiguation in Academic Knowledge Graphs
Author name disambiguation (AND) is a fundamental task in knowledge alignment for building a knowledge graph network or an online academic search system. Existing AND algorithms tend to cause over-splitting an...
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Article
Enhanced neighborhood node graph neural networks for load forecasting in smart grid
Deep learning technology creates the condition for the optimization of the smart grid, and the big data analytical technique has the most efficient way to analyze and share the power load spatio-temporal data ...
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Chapter
Improving Students’ Achievement Prediction in Blended Learning Environments with Integrated Machine Learning Methods
Blended learning has been adopted in universities for over a decade. With the advantage of combining online and offline learning contexts, blended learning enables a teacher to design separate instructional mo...
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Article
Improved neighborhood search whale optimization algorithm and its engineering application
In order to solve the problems of insufficient optimization accuracy, slow convergence speed and easy to fall into local optimum in the whale optimization algorithm, this paper proposes a whale optimization al...
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Article
Dual-stream stereo network for depth estimation
Depth-estimation is an important task for autonomous driving, 3D object detection and recognition, scene understanding, and other fields. To improve the quality of depth estimation in high-frequency edge detai...
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Article
Ternary symmetric fusion network for camouflaged object detection
Camouflage object detection (COD) is designed to locate objects that are “seamlessly” embedded in the surrounding environment. Camouflaged object detection is a challenging task due to the high intrinsic simil...
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Article
AS-3DFCN: Automatically Seeking 3DFCN-Based Brain Tumor Segmentation
Convolutional neural network, an optimization technique inspired by biological visual cortex, is widely used in pattern recognition, information processing, and other fields, and it has a good ability to solve...
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Article
Open AccessSlope susceptibility map for preventive measures against rainfall-induced slope failure
Rainfall-induced slope failures frequently occurs in many urban areas around the world especially due to the impact of the global warming. Some slope failures result in casualties that have negative impacts on...
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Article
A Practical Model-Based Robust Control for the Modular Joint of Collaborative Robots
In this paper, in order to enhance the trajectory tracking effect of collaborative robot joint modules, a practical model-based robust control method with simple parameter adjustment is proposed. Firstly, in o...
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Article
The influence of semantic alignment on the performance of addition and division operation: age-related differences
Semantic alignment refers to the cognitive tendency that people always seek for the matching of semantic relations between mathematical cognition and objects in specific situations. In develo** individuals, ...
