ChatGPT as an important tool in organizational management: A review of the literature

L Ayinde, MP Wibowo, B Ravuri… - Business Information …, 2023 - journals.sagepub.com
ChatGPT is an emerging technology that revolutionizes organizational practices,
fundamentally altering how individuals in organizations search for, generate, and utilize …

A review of distributed acoustic sensing applications for railroad condition monitoring

MA Rahman, H Taheri, F Dababneh… - … Systems and Signal …, 2024 - Elsevier
Accurate condition monitoring has been a major challenge among railroad management
authorities as they work to minimize collisions that lead to fatalities or damage to railroads …

An improved transformer-based model for detecting phishing, spam, and ham: A large language model approach

S Jamal, H Wimmer - arXiv preprint arXiv:2311.04913, 2023 - arxiv.org
Phishing and spam detection is long standing challenge that has been the subject of much
academic research. Large Language Models (LLM) have vast potential to transform society …

Cloud-based human emotion classification model from EEG signals

S Jamal, MV Cruz, J Kim - 2023 IEEE 14th Annual Ubiquitous …, 2023 - ieeexplore.ieee.org
Human emotions are complex, mutiifaceted phenomena, defined as multidimensional
subjective experiences influenced by several factors like cognitive processing, social norms …

Deep learning model for railroad structural health monitoring via distributed acoustic sensing

MA Rahman, H Taheri, J Kim - 2023 26th ACIS International …, 2023 - ieeexplore.ieee.org
Railway infrastructure plays a vital role in modern transportation systems, facilitating the
efficient movement of people and goods. However, the integrity and performance of railroad …

Railroad condition monitoring with distributed acoustic sensing: an investigation of deep learning methods for condition detection

MA Rahman, J Kim, F Dababneh… - Journal of Applied …, 2024 - spiedigitallibrary.org
Distributed acoustic sensing (DAS) using fiber optic cables over an extensive length of
railroads is a well-suited technique for condition monitoring (CM) of railroads. Regardless of …

In situ process monitoring of multi-layer deposition in wire arc additive manufacturing (WAAM) process with acoustic data analysis and machine learning

MA Rahman, S Jamal, MV Cruz, B Silwal… - The International Journal …, 2024 - Springer
Additive manufacturing (AM) of metal components is expanding as a developing technique
for fabricating high-value and large-scale metal parts. Among various metal AM procedures …

" ChatGPT, a Friend or Foe for Education?" Analyzing the User's Perspectives on The Latest AI Chatbot Via Reddit

FB Emdad, B Ravuri, L Ayinde… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Latest developments in Artificial Intelligence (AI) and big data gave rise to Artificial Intelligent
agents like Open AI's ChatGPT, which has recently become the fastest-growing application …

Developing and Evaluating Data-Driven Heart Disease Prediction Models by Ensemble Methods on Different Data Mining Tools

S Jamal, WA Elenin, L Chen - 2023 IEEE 14th Annual …, 2023 - ieeexplore.ieee.org
Heart disease stands as a critical global health issue contributing towards the global
mortality rate in a significant manner. By extracting patterns and relationships from medical …

ACRES: A framework for (semi) automatic generation of rule‐based expert systems with uncertainty from datasets

K Kovas, I Hatzilygeroudis - Expert Systems, 2024 - Wiley Online Library
Traditionally, the design of an expert system involves acquiring knowledge, in the form of
symbolic rules, directly from the expert (s), which is a complex and time‐consuming task …