Artificial Intelligence Advances

Abstract:

It is essential to continually assess and find new ways to recruit and retain participants for research studies. Cryptocurrency is growing in popularity and may be a novel way to incentivize research participants. 100 participants, 50 of whom already had a cryptocurrency wallet and 50 of whom did not have a cryptocurrency wallet, were recruited... More

Abstract:

Over time, higher demand for data speed and quality of service by an increasing number of mobile network subscribers has been the major challenge in the telecommunication industry. This challenge is the result of an increasing population of human race and the continuous advancement in mobile communication industry, which has led to network traffic congestion.... More

Abstract:

In developing countries like Nigeria, malaria and typhoid fever are major health challenges in society today. The symptoms vary and can lead to other illnesses in the body which include prolonged fever, fatigue, nausea, headaches, and the risk of contracting infection occurring concurrently if not properly diagnosed and treated. There is a strong need for... More

Abstract:

Motors play a crucial role in energy conversion and are essential components of mechatronic systems. However, diagnosing faults in rolling bearings during motor operation presents significant challenges, making it difficult to achieve high accuracy in fault identification. To address these challenges, this paper introduces a novel intelligent diagnostic method based on an enhanced multi-kernel extreme... More

Abstract:

With the rapid development of the online advertising industry, improving the accuracy of advertising service predictions and optimizing ad placement strategies has become a critical research topic. Traditional forecasting methods often face challenges when dealing with complex and diverse advertising data, especially in handling temporal features and periodic fluctuations. To address this, this paper proposes... More

Abstract:

Face recognition has become a cornerstone technology in various domains, including security, healthcare, and personalized applications. While traditional methods relied on handcrafted features and classical machine learning, advancements in deep learning have significantly improved face recognition's accuracy and robustness. However, challenges such as environmental variations—darkened or overexposed images—create domain shifts that compromise the generalization of... More