Today, companies that want to keep up with technological development and globalization
must be able to effectively manage their supply chains to achieve high quality, increased …

The world energy consumption has increased by+ 195% since 1970 with more than 80% of
the energy mix originating from fossil fuels, thus leading to pollution and global warming …

The prosperity of deep neural networks (DNNs) is largely benefited from open-source
datasets, based on which users can evaluate and improve their methods. In this paper, we …

Deep neural networks (DNNs) have demonstrated their superiority in practice. Arguably, the
rapid development of DNNs is largely benefited from high-quality (open-sourced) datasets …

Random Forest is an ensemble classification approach. It aims to design a discrete finite
group of decision trees constructed based on bootstrap samples and random attribute …

Deep learning, especially deep neural networks (DNNs), has been widely and successfully
adopted in many critical applications for its high effectiveness and efficiency. The rapid …

Given the power efficiency and Tbps throughput of packet processing, several works are
proposed to offload the decision tree (DT) to programmable switches, ie, in-network …

Digital marketing refers to the process of promoting, selling, and delivering products or
services through online platforms and channels using the internet and electronic devices in …

Hyperparameter tuning is a critical function necessary for the effective deployment of most
machine learning (ML) algorithms. It is used to find the optimal hyperparameter settings of …

To scientifically and objectively monitor the fermentation quality of black tea, a computer
vision system (CVS) and electronic nose (e-nose) were employed to analyze the black tea …