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- research-articleDecember 2024
MLPFormer: MLP-integrated transformer for colorectal histopathology whole slide image segmentation
Neural Computing and Applications (NCAA), Volume 37, Issue 6Pages 4651–4661https://doi.org/10.1007/s00521-024-10884-xAbstractColorectal intraepithelial neoplasia is a precancerous lesion of colorectal cancer, which is mainly diagnosed using pathological images. According to the characteristics of lesions, precancerous lesions can be classified into four different grades,...
- research-articleNovember 2024
Characterization of -Equipackable Graphs with Edges
- research-articleNovember 2024
Cost-Efficient Edge Federated Learning Over Multiple Base Stations for the ITS Based on Connected and Autonomous Vehicles
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 11Pages 18748–18763https://doi.org/10.1109/TITS.2024.3435969To realize the benefits expected and ensure user privacy and data security simultaneously, a cost-efficient edge federated learning (FL) architecture over multiple base stations (BSs) is proposed for the intelligent transportation system (ITS) based on ...
- research-articleOctober 2024
Rapid data collection and processing in dense urban edge computing networks with drone assistance
AbstractIn the edge computing network systems for the Internet of Things (IoT), there is growing attention to utilizing drones for collecting data and maintaining the freshness of data processing. This study focuses on analyzing the problems related to ...
- research-articleSeptember 2024
MolCFL: A personalized and privacy-preserving drug discovery framework based on generative clustered federated learning
Journal of Biomedical Informatics (JOBI), Volume 157, Issue Chttps://doi.org/10.1016/j.jbi.2024.104712AbstractIn today’s era of rapid development of large models, the traditional drug development process is undergoing a profound transformation. The vast demand for data and consumption of computational resources are making independent drug discovery ...
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Highlights- Propose a new clustered federated learning approach (MolCFL) for drug discovery.
- Demonstrate MolCFL’s capability to generate molecules under non-IID conditions.
- Validate the effectiveness of MolCFL through ablation and comparative ...
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- research-articleSeptember 2024
Investigating the 3D distribution of Cercospora leaf spot disease in sugar beet through fusion methods
- Shunfu Xiao,
- Haochong Chen,
- Yaguang Hou,
- Ke Shao,
- Kaiyi Bi,
- Ruili Wang,
- Yang Sui,
- Jinyu Zhu,
- Yan Guo,
- Baoguo Li,
- Yuntao Ma
Computers and Electronics in Agriculture (COEA), Volume 224, Issue Chttps://doi.org/10.1016/j.compag.2024.109107Highlights- Spectral point cloud was obtained from a low-cost fusion method.
- Quantifying the spatial distribution of plant disease using spectral point cloud.
- Disease levels obtained from fused data performed better than visual assessment.
Cercospora leaf spot (CLS) disease, triggered by the fungus Cercospora beticola, represents the most severe foliar disease affecting sugar beets globally. The significant vertical heterogeneity of the plant canopy makes traditional 2D spectral ...
- research-articleJuly 2024
A density clustering-based differential evolution algorithm for solving nonlinear equation systems
Information Sciences: an International Journal (ISCI), Volume 675, Issue Chttps://doi.org/10.1016/j.ins.2024.120753AbstractSolving nonlinear equation systems (NESs) is one of the most important tasks in numerical computing. The NESs usually have multiple roots, and quickly locating their roots in a single algorithm run with a limited number of iterations has always ...
- research-articleJuly 2024
Making MOVES move: Fast emissions estimates for repeated transportation policy scenario analyses
Environmental Modelling & Software (ENMS), Volume 178, Issue Chttps://doi.org/10.1016/j.envsoft.2024.106084AbstractEfforts to reduce US emissions from transportation rely greatly on the Environmental Protection Agency's MOVES software to estimate pollutant emissions, a high-precision, computationally intensive tool with many required inputs. To compare ...
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Highlights- We present a new method for swift emissions estimates for transportation policies.
- MOVESLite makes predictions in milliseconds, compared to minutes or hours.
- MOVESLite uses county-specific models trained on MOVES-estimated big ...
- research-articleMay 2024
Online Matrix Factorization-Based Traffic Flow Prediction Empowered by Edge Computing for the CAVs
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 5Pages 4049–4065https://doi.org/10.1109/TITS.2023.3326954The Connected and Autonomous Vehicles (CAVs) is considered to be a promising technology to improve the traffic congestion. However, to realize its expected benefits, the real-time, accurate and forward-looking guidance message are required. Based on this, ...
- research-articleMarch 2024
A new three-dimensional memristor chaotic circuit design and its application in image encryption
The Journal of Supercomputing (JSCO), Volume 80, Issue 10Pages 14694–14724https://doi.org/10.1007/s11227-024-05983-4AbstractIn recent years, memristors have received widespread attention due to their inherent nonlinear characteristics. To this end, a three-dimensional memristor chaotic system based on secondary nonlinear magnetron memristors has been constructed. ...
- review-articleMarch 2024
Nonlinear analysis, circuit implementation, and application in image encryption of a four-dimensional multi-scroll hyper-chaotic system
AbstractThis paper is based on the typical Sprott-C chaotic system and introduces a single-direction multi-scroll hyper-chaotic system with a scroll count of (2N + 2) by incorporating a multi-segment square function family. This innovation is the first ...
Highlights- The introduction of a multi-segment square function family on the basis of the Sprott-C system yields a one-directional, multi-scroll hyper-chaotic attractor with 2(N + 1) scrolls, where N is a positive integer.
- The system exhibits ...
- research-articleJanuary 2024
Research on a hierarchical feature-based contour extraction method for spatial complex truss-like structures in aerial images
Engineering Applications of Artificial Intelligence (EAAI), Volume 127, Issue PBhttps://doi.org/10.1016/j.engappai.2023.107313AbstractSpatial truss-like structures are three-dimensional frame structures consisting of a series of linear members and nodes, which are widely used in the power engineering. UAVs and various land-air robots are widely used in power inspection to ...
- research-articleOctober 2023
Design of memristor hyperchaotic circuit with burst oscillation and infinite attractor coexistence and its application
AbstractA 4D hyperchaotic system with symmetry based on memristors is proposed and the chaotic properties of the circuit are verified by phase diagrams, Poincaré cross sections, bifurcation, Lyapunov exponents, and 0–1 tests. In addition, the system is ...
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Highlights- Because of its special physical properties, memristor can help chaotic circuits to get richer dynamic behavior.
- The attractor coexistence of chaotic circuits can be used more widely in the field of image encryption.
- Explosive ...
- research-articleJune 2024
Research on Geological Environment Evaluation of Jinan Based on 3D Model
AIBDF '23: Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data ForumPages 288–296https://doi.org/10.1145/3660395.3660446Jinan is a famous spring city, and the springs have carried the long history and civilization of Jinan. 3D geological environment evaluation of Jinan can better coordinate the harmonious coexistence between urban underground space development and spring ...
- research-articleSeptember 2023
Autonomous confrontation strategy learning evolution mechanism of unmanned system group under actual combat in the loop
Computer Communications (COMS), Volume 209, Issue CPages 283–301https://doi.org/10.1016/j.comcom.2023.07.006AbstractConfrontation of unmanned system group (USG) is an important combat pattern in future aerial combat, and autonomous confrontation strategy learning evolution is the pre-foundation of USG for actual combat application, researching multiple ...
- research-articleAugust 2023
A collaborative robotic platform for sensor-aware fibula osteotomies in mandibular reconstruction surgery
Computers in Biology and Medicine (CBIM), Volume 162, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.107040AbstractPrecision and safety are crucial in performing fibula osteotomy during mandibular reconstruction with free fibula flap (FFF). However, current clinical methods, such as template-guided osteotomy, have the potential to cause damage to fibular ...
Highlights- We present a collaborative surgical robot system for mandibular reconstruction.
- Our image- and haptic-guided fibula osteotomy enables precise and easy surgery.
- The sensor-aware robotic osteotomy is a new method of hard tissue ...
- research-articleJuly 2023
A Survey on Automated Driving System Testing: Landscapes and Trends
- Shuncheng Tang,
- Zhenya Zhang,
- Yi Zhang,
- Jixiang Zhou,
- Yan Guo,
- Shuang Liu,
- Shengjian Guo,
- Yan-Fu Li,
- Lei Ma,
- Yinxing Xue,
- Yang Liu
ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 32, Issue 5Article No.: 124, Pages 1–62https://doi.org/10.1145/3579642Automated Driving Systems (ADS) have made great achievements in recent years thanks to the efforts from both academia and industry. A typical ADS is composed of multiple modules, including sensing, perception, planning, and control, which brings together ...
- research-articleJuly 2023
Quantitative estimation of organ-scale phenotypic parameters of field crops through 3D modeling using extremely low altitude UAV images
Computers and Electronics in Agriculture (COEA), Volume 210, Issue Chttps://doi.org/10.1016/j.compag.2023.107910Highlights- UAV image sequences were used to reconstruct 3D point clouds of crops canopy in situ.
Plant phenotypic parameters provide key information in modern crop breeding. However, the rapid and accurate estimation of organ-scale phenotypic parameters remains a challenge. In this context, the present study proposed a novel ...
- research-articleMay 2023
Cross-domain cooperative route planning for edge computing-enabled multi-connected vehicles
Computers and Electrical Engineering (CENG), Volume 108, Issue Chttps://doi.org/10.1016/j.compeleceng.2023.108668Highlights- Connected vehicles perform route planning independently causing potential traffic congestion.
- Optimizing cooperative route planning model of edge computing-enabled multi-connected vehicles based on network breakdown probability ...
The safety and effectiveness of transportation systems could be improved significantly through edge computing which can be relied on to assist intelligent and connected vehicles (ICVs). However, with the rapid increase in the number of ICVs, ...
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- research-articleMarch 2023
Cross-domain coordination of resource allocation and route planning for the edge computing-enabled multi-connected vehicles
Journal of Cloud Computing: Advances, Systems and Applications (JOCCASA), Volume 12, Issue 1https://doi.org/10.1186/s13677-023-00415-9AbstractMulti-access edge computing (MEC) has unique interests in processing intensive and delay-critical computation tasks for vehicular application through computation offloading. However, due to the spatial inhomogeneity and dynamic mobility of ...