Lingyao Zhou, Ling Zhang, Qifan Zhao, Zhanhua Wang, Xili Lu, Guoxia Fei, Lirong He^*, Hesheng Xia^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012861

Abstract Powder based high speed sintering (HSS) improves the printing efficiency compared to SLS printing. The shortened layer time for HSS requires quick melting and solidification of powders, which is a big challenge for traditional printing powders materials, especially the viscous elastomers. Herein, a dynamic cross-linked polyurethane containing Diels-Alder bonds (PUDA) was synthesized at kilo scale and used for HSS. The incorporation of dynamic DA bonds into PU enables the dissociation of the polymer chain under IR light heating, and will lead to fast relaxation, diffusion and dis/re-entanglement, addressing the problem of incomplete sintering and weak… More >

Harri Renney^1,*, Isaac V Chenchiah², Maxim Nethercott¹, Rohini Paligadu¹, James Lang¹

Journal of Cyber Security, Vol.7, pp. 221-238, 2025, DOI:10.32604/jcs.2025.064958 - 14 July 2025

Abstract In recent years, the field of cybersecurity has expanded to encompass a deeper understanding of best practices, user behaviour, and the tactics, motivations, and targets of threat actors. At the same time, there is growing interest in how cyber data analytics can support informed decision-making at senior levels. Despite the broader advancements, the field still lacks a robust scientific foundation for accurately calculating cyber vulnerability risk. Consequently, vulnerabilities in hardware and software systems often remain unaddressed for extended periods, undermining the effectiveness of risk mitigation efforts. This paper seeks to address the gap in vulnerability… More >

Zhanhua Wang^1,*, Hesheng Xia¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012859

Abstract Selective laser sintering (SLS) is one of the mainstream 3D printing technologies. A major challenge for SLS technology is the lack of novel polymer powder materials with improved Z-direction strength. Herein, a series of polymer materials with covalent adaptable networks structure were utilized to solve the challenge of SLS. To verify this concept, novel kinds of cross-linked polyurethanes (TPU) or polydimethylsiloxane (PDMS) elastomers containing dynamic covalent bonds including halogenated bisphenol carbamate bonds [1], hindered pyrazole urea bonds [2] or Diels–Alder bonds [3] were synthesized. The obtained dynamic TPU or PDMS exhibited excellent mechanical strength and More >

Aljuaid Turkea Ayedh M^1,2,*, Ainuddin Wahid Abdul Wahab^1,*, Mohd Yamani Idna Idris^1,3

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4663-4686, 2024, DOI:10.32604/cmc.2024.055287 - 12 September 2024

Abstract Organizations are adopting the Bring Your Own Device (BYOD) concept to enhance productivity and reduce expenses. However, this trend introduces security challenges, such as unauthorized access. Traditional access control systems, such as Attribute-Based Access Control (ABAC) and Role-Based Access Control (RBAC), are limited in their ability to enforce access decisions due to the variability and dynamism of attributes related to users and resources. This paper proposes a method for enforcing access decisions that is adaptable and dynamic, based on multilayer hybrid deep learning techniques, particularly the Tabular Deep Neural Network TabularDNN method. This technique transforms… More >

M. Iniyan Arasu^1,*, S. Subha Rani¹, G. Raswin Geoffery²

Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 729-742, 2022, DOI:10.32604/iasc.2022.021973 - 08 February 2022

Abstract LoRa is well-known for its extensive communication range, inexpensive efficiency, and reduced or less power consumption in end devices. End-device energy consumption in LoRa networks is ludicrous because some end-devices use massive dissemination variables to reach the remote doorway. Furthermore, the batteries in these end devices deplete very quickly, reducing network life significantly. To address this issue, an optimal mixed-integer linear programming long-range technique (OMILP-LoRa) was used in this study. The primary goal of this research is to enable adaptive resource allocation using the unique OMILP-LoRa protocol. The ACCURATE heuristic and the OMILP model for More >

Shaleeza Sohail¹, Atif Alvi^2,*, Aasia Khanum³

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3211-3225, 2022, DOI:10.32604/cmc.2022.023560 - 07 December 2021

Abstract Major issues currently restricting the use of learning analytics are the lack of interpretability and adaptability of the machine learning models used in this domain. Interpretability makes it easy for the stakeholders to understand the working of these models and adaptability makes it easy to use the same model for multiple cohorts and courses in educational institutions. Recently, some models in learning analytics are constructed with the consideration of interpretability but their interpretability is not quantified. However, adaptability is not specifically considered in this domain. This paper presents a new framework based on hybrid statistical More >