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- research-articleJuly 2024
Efficient dual-frequency SSVEP brain-computer interface system exploiting interocular visual resource disparities
Expert Systems with Applications: An International Journal (EXWA), Volume 252, Issue PAOct 2024https://doi.org/10.1016/j.eswa.2024.124144AbstractHere, we present a novel dual-frequency steady-state visual evoked potential (SSVEP) brain-computer interface (BCI) system with a unique human–computer interaction (HCI) feature that utilizes distinct visual resource disparities between the two ...
- ArticleJuly 2024
PrSMBooster: Improving the Accuracy of Top-Down Proteoform Characterization Using Deep Learning Rescoring Models
Bioinformatics Research and ApplicationsJul 2024, Pages 116–129https://doi.org/10.1007/978-981-97-5087-0_10AbstractThe aim of top-down mass spectrometry-based proteoform identification and characterization is to achieve optimal alignment between mass spectra and proteoforms. Consequently, the accuracy of identification results is crucial. Proteins with ...
- research-articleJuly 2024
On an insurance ruin model with a causal dependence structure and perturbation
Journal of Computational and Applied Mathematics (JCAM), Volume 449, Issue COct 2024https://doi.org/10.1016/j.cam.2024.115970AbstractThe classical compound Poisson risk model and the Sparre-Andersen risk model for insurance businesses assume that the interclaim times and the claim amounts are independently distributed. To relax the independence assumption, we consider a ...
- research-articleJuly 2024
Convex set-oriented singular value decomposition with bounded uncertainties
Journal of Computational and Applied Mathematics (JCAM), Volume 448, Issue COct 2024https://doi.org/10.1016/j.cam.2024.115942AbstractSingular value decomposition (SVD) has played a crucial role in mathematics and applied mathematics, particularly in the field of practical engineering technology, which is almost indispensable in these fields. However, incomplete information ...
- research-articleJuly 2024
Customer preference analysis integrating online reviews: An evidence theory-based method considering criteria interaction
Engineering Applications of Artificial Intelligence (EAAI), Volume 133, Issue PBJul 2024https://doi.org/10.1016/j.engappai.2024.108092AbstractConventional preference analysis methods often implicitly neglect the influence of online review reliability and cannot fully consider customer psychological needs, e.g., reference-level dependence and interactions among criteria, which results ...
Highlights- Combine evidence theory with MCGDM to reduce the impact of unreliable online reviews.
- Apply probabilistic linguistic term sets to express large-scale customers' preferences.
- Construct preference model reflecting customers' ...
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- research-articleJuly 2024
MixSegNet: Fusing multiple mixed-supervisory signals with multiple views of networks for mixed-supervised medical image segmentation
Engineering Applications of Artificial Intelligence (EAAI), Volume 133, Issue PAJul 2024https://doi.org/10.1016/j.engappai.2024.108059AbstractDeep learning has driven remarkable advancements in medical image segmentation. The requirement for comprehensive annotations, however, poses a significant challenge due to the labor-intensive and expensive nature of expert annotation. Addressing ...
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Highlights- MixSegNet: Innovating medical image segmentation with mixed-supervision.
- A novel data pre-processing method: Mimicking real-world clinical annotation diversity.
- Utilizing CNN and ViT: Enhanced feature extraction in segmentation ...
- research-articleJuly 2024
Optimal design of mixed dielectric coaxial-annular TSV using GWO algorithm based on artificial neural network
Integration, the VLSI Journal (INTG), Volume 97, Issue CJul 2024https://doi.org/10.1016/j.vlsi.2024.102205AbstractThe single-objective and single-parameter optimization method is commonly used in the structure optimization of TSV to improve the transmission characteristics, for which a structure design scheme that simultaneously satisfies multiple target ...
Highlights- To achieve multi-objective and multi-parameter optimization of TSV, a global optimization model with GWO and ANN is proposed.
- The L25(56) orthogonal experiment is designed to assess the effects of six key structural parameters on S-...
- research-articleJune 2024
Mining architectural information: A systematic mapping study
Empirical Software Engineering (KLU-EMSE), Volume 29, Issue 4Jul 2024https://doi.org/10.1007/s10664-024-10480-6AbstractMining Software Repositories (MSR) has become an essential activity in software development. Mining architectural information (e.g., architectural models) to support architecting activities, such as architecture understanding, has received ...
- research-articleJuly 2024
Development and evaluation of a novel maize detasseling device
Computers and Electronics in Agriculture (COEA), Volume 221, Issue CJun 2024https://doi.org/10.1016/j.compag.2024.108944Highlights- A feasible device for maize tassel pose estimation and detasseling is designed.
- Detasseling movement of two-claw down-cutting and base rotation reduces the leaf damage.
- Feasibility and performance of the novel maize detasseling ...
An essential task in maize seed production is the removal of male tassels from the maternal plants, thus ensuring the genetic purity of parental forms of hybrid maize. Hand detasseling is highly precise but labor-intensive and costly regarding ...
- research-articleMay 2024
Mobile Foundation Model as Firmware
- Jinliang Yuan,
- Chen Yang,
- Dongqi Cai,
- Shihe Wang,
- Xin Yuan,
- Zeling Zhang,
- Xiang Li,
- Dingge Zhang,
- Hanzi Mei,
- Xianqing Jia,
- Shangguang Wang,
- Mengwei Xu
ACM MobiCom '24: Proceedings of the 30th Annual International Conference on Mobile Computing and NetworkingMay 2024, Pages 279–295https://doi.org/10.1145/3636534.3649361In the current AI era, mobile devices such as smartphones are tasked with executing a myriad of deep neural networks (DNNs) locally. It presents a complex landscape, as these models are highly fragmented in terms of architecture, operators, and ...
- research-articleApril 2024
Study on spatial and temporal correlation characteristics for RIS-aided macrocell high-speed railway propagation systems
The Journal of Supercomputing (JSCO), Volume 80, Issue 11Jul 2024, Pages 16497–16518https://doi.org/10.1007/s11227-024-06072-2AbstractReconfigurable intelligence surface (RIS) consists of a large number of low-cost passive reflecting elements has attracted significant attention from communication communities, which is mainly due to its ability to substantially improve the ...
- research-articleJuly 2024
Let gambling hide nowhere: Detecting illegal mobile gambling apps via heterogeneous graph-based encrypted traffic analysis
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 243, Issue CApr 2024https://doi.org/10.1016/j.comnet.2024.110278AbstractMobile gambling apps, as a new type of online gambling service, have not only enriched people’s online entertainment activities but also brought about negative impacts for both individuals and society. Existing gambling app detection methods ...
- research-articleJuly 2024
MedChatZH: A tuning LLM for traditional Chinese medicine consultations
- Yang Tan,
- Zhixing Zhang,
- Mingchen Li,
- Fei Pan,
- Hao Duan,
- Zijie Huang,
- Hua Deng,
- Zhuohang Yu,
- Chen Yang,
- Guoyang Shen,
- Peng Qi,
- Chengyuan Yue,
- Yuxian Liu,
- Liang Hong,
- Huiqun Yu,
- Guisheng Fan,
- Yun Tang
Computers in Biology and Medicine (CBIM), Volume 172, Issue CApr 2024https://doi.org/10.1016/j.compbiomed.2024.108290AbstractGenerative Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, including Question-Answering (QA) and dialogue systems. However, most models are trained on English data and lack strong ...
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Highlights- To introduce MedChatZH, an AI system for TCM dialogues, showcasing effective consultation performance.
- To develop TCM corpus for pre-training, with refined medical dialogues dataset, ensuring quality.
- To demonstrate MedChatZH's ...
- research-articleJune 2024
Weakly supervised object localization via knowledge distillation based on foreground–background contrast
AbstractWeakly supervised object localization (WSOL) is a challenging task that aims to localize objects in images using only image-level labels. Despite the widespread use of WSOL methods based on class activation mapping (CAM), such methods do not ...
- research-articleMarch 2024
Elective Surgery Sequencing and Scheduling Under Uncertainty
Manufacturing & Service Operations Management (INFORMS-MSOM), Volume 26, Issue 3May-June 2024, Pages 893–910https://doi.org/10.1287/msom.2022.0029Problem definition: We consider a surgery sequencing and scheduling problem with uncertain durations of surgeries in the context of an operating theater. From real data collected from a hospital, we observe the common practice, namely, “to follow,” in ...
- research-articleJune 2024
Adaptive fixed-time tracking control for uncertain nonlinear systems with unknown control coefficients and prescribed performance
Information Sciences: an International Journal (ISCI), Volume 662, Issue CMar 2024https://doi.org/10.1016/j.ins.2024.120152AbstractThis paper delves into the problem of fixed-time neural network adaptive prescribed performance control for a category of nonstrict-feedback systems with time-varying unknown control coefficients (UCCs). Firstly, two key technical lemmas are ...
- research-articleMay 2024
Multi-agent policy learning-based path planning for autonomous mobile robots
Engineering Applications of Artificial Intelligence (EAAI), Volume 129, Issue CMar 2024https://doi.org/10.1016/j.engappai.2023.107631AbstractThe study addresses path planning problems for autonomous mobile robots (AMRs), considering their kinematics, where performance and responsiveness are often incompatible. This study proposes a multi-agent policy learning-based method to tackle ...
- research-articleFebruary 2024
Practical single-line diagram recognition based on digital image processing and deep vision models
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFMar 2024https://doi.org/10.1016/j.eswa.2023.122389AbstractThe Single-Line Diagram (SLD) is a standardized graphical representation of power systems. Power engineering software typically requires users to model power systems by drawing SLDs. Although existing computer vision-based SLD recognition ...
Highlights- An advanced framework for Single-Line Diagram element recognition is proposed.
- An efficient graphic text separation algorithm is proposed.
- Recognizing graphics and text using improved deep-learning algorithms.
- Proposing a data ...
- research-articleApril 2024
Traffic spills the beans: A robust video identification attack against YouTube
Computers and Security (CSEC), Volume 137, Issue CFeb 2024https://doi.org/10.1016/j.cose.2023.103623AbstractTraffic-based video identification attack is a side-channel attack that allows an attacker to identify transmitted online videos from encrypted network traffic. Existing attacks face two types of challenges: 1) YouTube's improved streaming ...