Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …

Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …

Autoencoders have become a hot researched topic in unsupervised learning due to their
ability to learn data features and act as a dimensionality reduction method. With rapid …

Recently great strides have been made in the field of automatic speech recognition (ASR) by
using various deep learning techniques. In this study, we present a thorough comparison …

All marketing capabilities can be enabled by technology. One such technology–artificial
intelligence (AI)–holds significant potential for enabling marketing capabilities. While …

In an era defined by the explosive growth of data and rapid technological advancements,
Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence …

Voice is a behavioral biometric that conveys information related to a person's traits, such as
the speaker's ethnicity, age, gender, and feeling. Speaker recognition deals with recognizing …

Recently, vision-based methods have been widely used to analyze the construction
productivity based on onsite videos owing to their low cost, simple deployment, and easy …

With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

Abstract Unsupervised Domain Adaptation transfers knowledge from the source domain to
the target domain. It makes remarkable progress in alleviating the label-shortage problem in …