Lower back pain (LBP) is a musculoskeletal condition that affects millions of people
worldwide and significantly limits their mobility and daily activities. Appropriate ergonomics …

Fluorescent nanodiamond (FND) has been regarded as a superior alternative reporter for
lateral flow immunoassays. The negatively charged nitrogen-vacancy (NV−) center in FND is …

In the context of big data analytics, this study examines the use of algorithms based on deep
learning for feature extraction. Traditional methods usually have trouble sifting through the …

Ensemble learning has emerged as a potent method for improving prediction accuracy in
Big Data classification tasks. This paper presents a comprehensive study of ensemble …

Neuro-symbolic artificial intelligence (AI) stands at the frontier of machine learning by
amalgamating the interpretability and structured knowledge representation of symbolic …

Temporal data mining is an advanced analytical field that focuses on the extraction of
interpretable patterns, correlations, and trends over time within data streams. This paper …

In this study, we investigate how AI and ML might revolutionize the agricultural industry,
particularly with regard to increasing crop output while decreasing input costs. Applying AI …

Industrial data has increased significantly in the emerging data-driven age, and it often
contains abnormalities that could point to crucial system faults or inefficiencies. The …

In the realm of automated speech recognition (ASR), the robustness of systems operating
within noisy environments remains a pivotal challenge. This paper introduces an innovative …

The burgeoning complexity of industrial systems necessitates robust anomaly detection
mechanisms to ensure operational integrity and safety. Traditional signal processing …