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Outputs (112)

Classification and evaluation of the algorithms for vector bin packing (2024)
Journal Article
Mommessin, C., Erlebach, T., & Shakhlevich, N. V. (2025). Classification and evaluation of the algorithms for vector bin packing. Computers and Operations Research, 173, Article 106860. https://doi.org/10.1016/j.cor.2024.106860

Heuristics for Vector Bin Packing (VBP) play an important role in modern distributed computing systems and other applications aimed at optimizing the usage of multidimensional resources. In this paper we perform a systematic classification of heurist... Read More about Classification and evaluation of the algorithms for vector bin packing.

The complexity of growing a graph (2024)
Journal Article
Mertzios, G., Michail, O., Skretas, G., Spirakis, P. G., & Theofilatos, M. (2025). The complexity of growing a graph. Journal of Computer and System Sciences, 147, Article 103587. https://doi.org/10.1016/j.jcss.2024.103587

We study a new algorithmic process of graph growth which starts from a single initial vertex and operates in discrete time-steps, called slots. In every slot, the graph grows via two operations (i) vertex generation and (ii) edge activation. The proc... Read More about The complexity of growing a graph.

Robust neuro-adaptive command-filtered back-stepping fault-tolerant control of satellite using composite learning (2024)
Journal Article
Ezabadi, M., Zahmatkesh, M., Emami, S. A., & Castaldi, P. (2025). Robust neuro-adaptive command-filtered back-stepping fault-tolerant control of satellite using composite learning. Advances in Space Research, 75(1), 1231-1244. https://doi.org/10.1016/j.asr.2024.09.041

This study proposes an adaptive neural command-filtered backstepping control system for precise and fast attitude control of a satellite considering different uncertain dynamics. Mission success crucially depends on robust attitude control resilient... Read More about Robust neuro-adaptive command-filtered back-stepping fault-tolerant control of satellite using composite learning.

Advancing healthcare practice and education via data sharing: demonstrating the utility of open data by training an artificial intelligence model to assess cardiopulmonary resuscitation skills (2024)
Journal Article
Constable, M. D., Zhang, F. X., Conner, T., Monk, D., Rajsic, J., Ford, C., Park, L. J., Platt, A., Porteous, D., Grierson, L., & Shum, H. P. H. (2025). Advancing healthcare practice and education via data sharing: demonstrating the utility of open data by training an artificial intelligence model to assess cardiopulmonary resuscitation skills. Advances in Health Sciences Education, 30, 15-35. https://doi.org/10.1007/s10459-024-10369-5

Health professional education stands to gain substantially from collective efforts toward building video databases of skill performances in both real and simulated settings. An accessible resource of videos that demonstrate an array of performances –... Read More about Advancing healthcare practice and education via data sharing: demonstrating the utility of open data by training an artificial intelligence model to assess cardiopulmonary resuscitation skills.

One-Index Vector Quantization Based Adversarial Attack on Image Classification (2024)
Journal Article
Fan, H., Qin, X., Chen, S., Shum, H. P. H., & Li, M. (2024). One-Index Vector Quantization Based Adversarial Attack on Image Classification. Pattern Recognition Letters, 186, 47-56. https://doi.org/10.1016/j.patrec.2024.09.001

To improve storage and transmission, images are generally compressed. Vector quantization (VQ) is a popular compression method as it has a high compression ratio that suppresses other compression techniques. Despite this, existing adversarial attack... Read More about One-Index Vector Quantization Based Adversarial Attack on Image Classification.

Conversational Breakdown in a Customer Service Chatbot: Impact of Task Order and Criticality on User Trust and Emotion (2024)
Journal Article
Følstad, A., Law, E. L.-C., & van As, N. (2024). Conversational Breakdown in a Customer Service Chatbot: Impact of Task Order and Criticality on User Trust and Emotion. ACM Transactions on Computer-Human Interaction, 31(5), 1-52. https://doi.org/10.1145/3690383

While chatbots are increasingly used for customer service, there is a knowledge gap concerning the impact of Conversational Breakdown in such chatbot interactions. In a 2 × 4 factorial design online experiment, we studied how Conversational Breakdown... Read More about Conversational Breakdown in a Customer Service Chatbot: Impact of Task Order and Criticality on User Trust and Emotion.

SpemNet: A Cotton Disease and Pest Identification Method Based on Efficient Multi-Scale Attention and Stacking Patch Embedding (2024)
Journal Article
Qiu, K., Zhang, Y., Ren, Z., Li, M., Wang, Q., Feng, Y., & Chen, F. (2024). SpemNet: A Cotton Disease and Pest Identification Method Based on Efficient Multi-Scale Attention and Stacking Patch Embedding. Insects, 15(9), Article 667. https://doi.org/10.3390/insects15090667

Simple Summary: Cotton is a crucial economic crop, but it is often threatened by various pests and diseases during its growth, significantly impacting its yield and quality. Earlier image classification methods often suffer from low accuracy and stru... Read More about SpemNet: A Cotton Disease and Pest Identification Method Based on Efficient Multi-Scale Attention and Stacking Patch Embedding.

Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text (2024)
Journal Article
Davies, H., Nenadic, G., Alfattni, G., Arguello Casteleiro, M., Al Moubayed, N., Farrell, S., Radford, A. D., & Noble, P.-J. M. (2024). Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text. Frontiers in Veterinary Science, 11, Article 1352726. https://doi.org/10.3389/fvets.2024.1352726

In part two of this mini-series, we evaluate the range of machine-learning tools now available for application to veterinary clinical text-mining. These tools will be vital to automate extraction of information from large datasets of veterinary clini... Read More about Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text.

Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems (2024)
Journal Article
Gong, B., Huang, G., & Tu, W. (2024). Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems. Computer Networks, 253, Article 110729. https://doi.org/10.1016/j.comnet.2024.110729

This paper studies a dynamic reconfigurable intelligent surface (RIS)-assisted broadcast communication system where a transmitter broadcasts information to multiple receivers with time-varying locations via a RIS. The goal is to min... Read More about Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems.