Towards Transferable Targeted 3D Adversarial Attack in the Physical World

Y Huang, Y Dong, S Ruan, X Yang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Compared with transferable untargeted attacks transferable targeted adversarial attacks
could specify the misclassification categories of adversarial samples posing a greater threat …

Comprehensive study on shape representation methods for shape-based object recognition

Z Jiang, C Zhou - Journal of Optics, 2024 - Springer
This study presents a thorough analysis of shape representation techniques. Furthermore, a
taxonomy of strategies for form representation and description is provided. This study aims …

[HTML][HTML] Development of a novel machine learning approach to optimize important parameters for improving the solubility of an anti-cancer drug within green chemistry …

M Alanazi, B Huwaimel, J Alanazi… - Case Studies in Thermal …, 2023 - Elsevier
Understanding the solubility of drug particles in solvents has remained a big challenge in
different fields. Development of advanced computational methods to predict the solubility of …

Mathematical optimization and prediction of Febuxostat xanthine oxidase inhibitor solubility through supercritical CO2 system using machine-learning approach

U Hani, ZAB Sinnah, AJ Obaidullah, J Alanazi… - Journal of Molecular …, 2023 - Elsevier
Scientific research towards the synthesis and discovery of novel therapeutic agents with
optimal safety, great biological efficiency and acceptable toxicity profile is known as the …

A computational study on the mercaptopurine drug interaction with aluminum nitride nanostructures: analyzed by Marcus theory of electron-transfer

M Hadi Kzar, F Al-Dolaimy… - Journal of …, 2024 - Taylor & Francis
We analyzed the mercaptopurine adsorption on AlN nanostructures consisting of zero-
dimensional nanoclusters, one-dimensional nanotubes, and two-dimensional nanosheets …

An Application of Ultrasonic Waves in the Pretreatment of Biological Sludge in Urban Sewage and Proposing an Artificial Neural Network Predictive Model of …

A El Jery, H Kosarirad, N Taheri, M Bagheri, M Aldrdery… - Sustainability, 2023 - mdpi.com
This research examines whether ultrasonic waves can enhance the hydrolysis, stability, and
dewatering of activated sludge from raw urban wastewater. Sampling and physical …

[HTML][HTML] Assessment of solid-dosage drug nanonization by theoretical advanced models: Modeling of solubility variations using hybrid machine learning models

AS Abouzied, SM Alshahrani, U Hani… - Case Studies in Thermal …, 2023 - Elsevier
Production of solid-dosage drug nanoparticles was assessed by theoretical models to
investigate the possibility of drug treatment via supercritical green processing. Nanonization …

[HTML][HTML] Application of the particle swarm optimization algorithm-back propagation neural network algorithm introducing new parameter terms in the application field of …

Y Tian, Y Chang - Results in Engineering, 2024 - Elsevier
With the development of the modern industry, to continuously use large precision
instruments, the circuits protecting method through circuit design has gradually been …

A federated learning framework based on transfer learning and knowledge distillation for targeted advertising

C Su, J Wei, Y Lei, J Li - PeerJ Computer Science, 2023 - peerj.com
The rise of targeted advertising has led to frequent privacy data leaks, as advertisers are
reluctant to share information to safeguard their interests. This has resulted in isolated data …

Borophene as an carrier for mercaptopurine drug: electronic study via density‐functional theory computations

W Li, T Zhao - Journal of Molecular Modeling, 2023 - Springer
Context This paper studied MP-B36 interactions through DFT. MP molecules were observed
to have a substantial tendency to be adsorbed through their N heads onto B36 at its edge …