Styleme: Towards intelligent fashion generation with designer style
Hand-drawn sketches and sketch colourization are the most laborious but necessary steps
for fashion designers to design exquisite clothes, especially when the fashion design …
for fashion designers to design exquisite clothes, especially when the fashion design …
[HTML][HTML] Dtl-ids: An optimized intrusion detection framework using deep transfer learning and genetic algorithm
In the dynamic field of the Industrial Internet of Things (IIoT), the networks are increasingly
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
CrossGAI: A Cross-Device Generative AI Framework for Collaborative Fashion Design
Fashion design usually requires multiple designers to discuss and collaborate to complete a
set of fashion designs, and the efficiency of the sketching process is another challenge for …
set of fashion designs, and the efficiency of the sketching process is another challenge for …
HAIGEN: towards human-AI collaboration for facilitating creativity and style generation in fashion design
The process of fashion design usually involves sketching, refining, and coloring, with
designers drawing inspiration from various images to fuel their creative endeavors …
designers drawing inspiration from various images to fuel their creative endeavors …
A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering
With the rapid development of the Industrial Internet of Things, log-based anomaly detection
has become vital for smart industrial construction that has prompted many researchers to …
has become vital for smart industrial construction that has prompted many researchers to …
AFEI: adaptive optimized vertical federated learning for heterogeneous multi-omics data integration
Q Wang, M He, L Guo, H Chai - Briefings in Bioinformatics, 2023 - academic.oup.com
Vertical federated learning has gained popularity as a means of enabling collaboration and
information sharing between different entities while maintaining data privacy and security …
information sharing between different entities while maintaining data privacy and security …
Reliability-enhanced surrogate-assisted particle swarm optimization for feature selection and hyperparameter optimization in landslide displacement prediction
Y Wang, K Wang, M Zhang, T Gu, H Zhang - Complex & Intelligent Systems, 2023 - Springer
Landslides are dangerous disasters that are affected by many factors. Neural networks can
be used to fit complex observations and predict landslide displacement. However …
be used to fit complex observations and predict landslide displacement. However …
NeuroBCI: Multi-Brain to Multi-Robot Interaction Through EEG-Adaptive Neural Networks and Semantic Communications
Recent advancements in EEG-based BCI technologies have been explored to assist
individuals in executing brain-to-robot tasks. In the future, using BCI systems in both …
individuals in executing brain-to-robot tasks. In the future, using BCI systems in both …
[HTML][HTML] Globalizing Food Items Based on Ingredient Consumption
Y Matla, RR Yannamaneni, G Pappas - Sustainability, 2024 - mdpi.com
The food and beverage industry significantly impacts the global economy, subject to various
influential factors. This study aims to develop an AI-powered model to enhance the …
influential factors. This study aims to develop an AI-powered model to enhance the …
[HTML][HTML] Improving Earth surface temperature forecasting through the optimization of deep learning hyper-parameters using Barnacles Mating Optimizer
Time series forecasting is crucial across various sectors, aiding stakeholders in making
informed decisions, planning for the short and long term, managing risks, optimizing profits …
informed decisions, planning for the short and long term, managing risks, optimizing profits …