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- research-articleAugust 2024
Expresso: Comprehensively Reasoning About External Routes Using Symbolic Simulation
ACM SIGCOMM '24: Proceedings of the ACM SIGCOMM 2024 ConferenceAugust 2024, Pages 197–212https://doi.org/10.1145/3651890.3672220Existing network verifiers can efficiently identify failure-induced bugs. However, an equally-important concern is identification of external-routes-induced bugs, which has not been well addressed. Comprehensively reasoning about external routes is ...
- research-articleJuly 2024
Model-free anti-disturbance tracking control for high-order discrete-time nonlinear system based on concurrent learning extended state observer
AbstractThe research objective of this paper is to address the tracking control problem of high-order discrete-time nonlinear systems in the presence of completely unknown internal uncertainties, unknown external disturbances, and unknown control input ...
- research-articleJuly 2024
A constrained multi-objective optimization algorithm based on coordinated strategy of archive and weight vectors
Expert Systems with Applications: An International Journal (EXWA), Volume 244, Issue CJun 2024https://doi.org/10.1016/j.eswa.2023.122961AbstractWhen dealing with Constrained Multi-objective Optimization Problems (CMOPs) and struggling to enhance feasibility, convergence and diversity, the researchers of Constrained Multi-objective Optimization Evolutionary Algorithms (CMOEAs) gravitate ...
- research-articleJuly 2024
Token singularity understanding and removal for transformers
Knowledge-Based Systems (KNBS), Volume 293, Issue CJun 2024https://doi.org/10.1016/j.knosys.2024.111718AbstractThis work delves into unveiling the singularity issue latent in global attention-based Transformers. Empirical and theoretical analyses elucidate that interrelationships among token channels lead to singularities, impeding the training of ...
- research-articleJuly 2024
Design element extraction of plantar pressure imaging employing meta-learning-based graphic convolutional neural networks
Applied Soft Computing (APSC), Volume 158, Issue CJun 2024https://doi.org/10.1016/j.asoc.2024.111598AbstractSegmenting plantar pressure images intelligently can provide valuable insight for people with high blood pressure, making bespoke footwear requirements possible and resulting in more comfortable shoe designs. It is, however, difficult to extract ...
Highlights- Proposed a meta-learning based graphic convolutional neural networks for segmentation.
- Developed the graphic neural networks for image feature extraction.
- Optimized the Meta-Based Learning for semantic segmentation
- Compared to ...
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- research-articleJuly 2024
FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy
- Dan Wang,
- Chu Han,
- Zhen Zhang,
- Tiantian Zhai,
- Huan Lin,
- Baoyao Yang,
- Yanfen Cui,
- Yinbing Lin,
- Zhihe Zhao,
- Lujun Zhao,
- Changhong Liang,
- An Zeng,
- Dan Pan,
- Xin Chen,
- Zhenwei Shi,
- Zaiyi Liu
Computer Methods and Programs in Biomedicine (CBIO), Volume 249, Issue CJun 2024https://doi.org/10.1016/j.cmpb.2024.108141Abstract Background and ObjectiveLung tumor annotation is a key upstream task for further diagnosis and prognosis. Although deep learning techniques have promoted automation of lung tumor segmentation, there remain challenges impeding its application in ...
Highlights- Federated semi-supervised learning is applied in lung cancer segmentation.
- The FAlR data principle is explored to enhance the accessibility and interoperability of data.
- A dynamic aggregation algorithm is proposed to effectively ...
- short-paperMay 2024
Probabilistic Building Load Forecasting via Conditional Diffusion Model
e-Energy '24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy SystemsJune 2024, Pages 490–491https://doi.org/10.1145/3632775.3661980Machine learning-based Building Load Forecasting (BLF) is crucial for optimizing operations of building systems and enhancing energy efficiency. Most BLF works focus on point forecast, which is ineffective when facing building load data with ...
- short-paperMay 2024
Demo: Towards Deploying ML-based Load Forecasting Models for Building HVAC System: an AI Evaluation Platform
e-Energy '24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy SystemsJune 2024, Pages 488–489https://doi.org/10.1145/3632775.3661979Recently, machine learning (ML) models have been widely developed for building HVAC systems. Practitioners, however, have difficulties in understanding how an ML model behaves in practice, in terms of such metrics as maintainability, reliability, etc. ...
- research-articleMay 2024
Spatial-Temporal Embodied Carbon Models for the Embodied Carbon Accounting of Computer Systems
e-Energy '24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy SystemsJune 2024, Pages 464–471https://doi.org/10.1145/3632775.3661939Embodied carbon is the total amount of carbon released from the processes associated with a product from cradle to gate. In many industry sectors, embodied carbon dominates the overall carbon footprint. Embodied carbon accounting, i.e., to estimate the ...
- research-articleMarch 2024
A Kriging-assisted multi-stage evolutionary algorithm for expensive many-objective optimization problems
Structural and Multidisciplinary Optimization (SPSMO), Volume 67, Issue 4Apr 2024https://doi.org/10.1007/s00158-024-03748-4AbstractFor expensive problems, as the number of objectives and the number of decision variables increase, the number of non-dominated solutions in the population increases dramatically, and the population does not have enough convergence pressure to ...
- research-articleApril 2024
A MOEA/D with adaptive weight subspace for regular and irregular multi-objective optimization problems
Information Sciences: an International Journal (ISCI), Volume 661, Issue CMar 2024https://doi.org/10.1016/j.ins.2024.120143AbstractThe performance of the decomposition-based multi-objective optimization algorithm (MOEA/D) is dependent on the consistency of the Pareto front and the distribution of the weight vectors. Uniformly distributed weight vectors have a great advantage ...
- articleFebruary 2024
Security in wireless body area networks via anonymous authentication: Comprehensive literature review, scheme classification, and future challenges
AbstractAuthentication is a security practice that seeks to validate a user identity to various entities, yet doing so across a wireless network poses inherent risks. Wireless Body Area Networks (WBANs) are a unique form of network that contains e-...
- research-articleFebruary 2024
Relaxation modulus-based matrix splitting iteration method for vertical linear complementarity problem
Journal of Computational and Applied Mathematics (JCAM), Volume 437, Issue CFeb 2024https://doi.org/10.1016/j.cam.2023.115430AbstractFor solving vertical linear complementarity problems (VLCPs), we propose a relaxation modulus-based matrix splitting iteration method and a two-step relaxation modulus-based matrix splitting iteration method. When the system matrices are H +-...
- research-articleJanuary 2024
Coupling of SME innovation and innovation in regional economic prosperity with machine learning and IoT technologies using XGBoost algorithm
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 28, Issue 4Feb 2024, Pages 2919–2939https://doi.org/10.1007/s00500-024-09640-zAbstractIn recent years, the convergence of the Internet of Things (IoT) and machine learning technologies has instigated advancements in IoT, and machine learning has revolutionized SMEs, reshaping their role in regional economic growth. These ...
- research-articleAugust 2024
Multi-Resident Tracking Method in Smart Home Environment
CAICE '24: Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control EngineeringJanuary 2024, Pages 641–645https://doi.org/10.1145/3672758.3672864Based on the data set of the smart home platform, this paper proposes the Multi-Resident (MR) tracking method to collect sensor data for the smart home environment with two residents, and realizes the shunt processing of the two residents’ activity data. ...
- research-articleJanuary 2024
Joint optimization of task scheduling and computing resource allocation for VR video services in 5G‐advanced networks
Transactions on Emerging Telecommunications Technologies (TETT), Volume 35, Issue 1January 2024https://doi.org/10.1002/ett.4909AbstractWith the development of 5G networks and related hardware equipment, the demand for various VR video services including panoramic video live broadcast and immersive game is increasing day by day. Due to the explosive growth of data volume and the ...
This paper presents a joint optimization strategy of task scheduling and computing resource allocation based on deep reinforcement learning algorithm for VR video services in 5G‐advanced networks. image image
- research-articleApril 2024
An interval-valued intuitionistic fuzzy group decision-making method for evaluating online knowledge payment products
Applied Soft Computing (APSC), Volume 150, Issue CJan 2024https://doi.org/10.1016/j.asoc.2023.111046AbstractIncreased demand for knowledge, evolving consumer attitudes, and the convenient online transaction opportunities provided by Internet technology have led to the rapid rise and growth of online knowledge payment. At present, studies on the online ...
Highlights- A novel group decision-making method based on prospect theory is proposed to evaluate online knowledge payment products.
- Our consensus method avoids the omission of critical information and knowledge used for evaluation.
- Our ...
- research-articleMarch 2024
Synchronization of diverse agents via phase analysis
Automatica (Journal of IFAC) (AJIF), Volume 159, Issue CJan 2024https://doi.org/10.1016/j.automatica.2023.111325AbstractIn this paper, the synchronization of heterogeneous agents interacting over a dynamical network is studied. The edge dynamics can model the inter-agent communications which are often heterogeneous by nature. They can also model the controllers of ...
- research-articleFebruary 2024
Characteristics of students’ learning behavior preferences — an analysis of self-commentary data based on the LDA model
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 46, Issue 22024, Pages 4495–4509https://doi.org/10.3233/JIFS-232971How to better grasp students’ learning preferences in the environment of rapid development of engineering and science and technology so as to guide them to high-quality learning is one of the important research topics in the field of educational ...
- research-articleMarch 2024
A hybrid self-attention convolution network for MI signals decoding
CSAI '23: Proceedings of the 2023 7th International Conference on Computer Science and Artificial IntelligenceDecember 2023, Pages 306–311https://doi.org/10.1145/3638584.3638597Research on Motor imagery electroencephalogram (MI-EEG) can reveal the motor intentions that trigger electrical changes in the research of brain–computer interface (BCI), which enables assistance of rehabilitation treatment of patients with neurological ...