AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems

IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …

Federated learning in edge computing: a systematic survey

HG Abreha, M Hayajneh, MA Serhani - Sensors, 2022 - mdpi.com
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …

[HTML][HTML] From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing

I Dergaa, K Chamari, P Zmijewski, HB Saad - Biology of sport, 2023 - ncbi.nlm.nih.gov
Natural language processing (NLP) has been studied in computing for decades. Recent
technological advancements have led to the development of sophisticated artificial …

Using ChatGPT in medical research: current status and future directions

S Ruksakulpiwat, A Kumar… - Journal of Multidisciplinary …, 2023 - Taylor & Francis
Objective This review aims to evaluate the current evidence on the use of the Generative Pre-
trained Transformer (ChatGPT) in medical research, including but not limited to treatment …

Trustworthy ai: A computational perspective

H Liu, Y Wang, W Fan, X Liu, Y Li, S Jain, Y Liu… - ACM Transactions on …, 2022 - dl.acm.org
In the past few decades, artificial intelligence (AI) technology has experienced swift
developments, changing everyone's daily life and profoundly altering the course of human …

State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review

DNT How, MA Hannan, MSH Lipu, PJ Ker - Ieee Access, 2019 - ieeexplore.ieee.org
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …

[图书][B] Deep learning on graphs

Y Ma, J Tang - 2021 - books.google.com
Deep learning on graphs has become one of the hottest topics in machine learning. The
book consists of four parts to best accommodate our readers with diverse backgrounds and …

A survey of evaluation metrics used for NLG systems

AB Sai, AK Mohankumar, MM Khapra - ACM Computing Surveys (CSUR …, 2022 - dl.acm.org
In the last few years, a large number of automatic evaluation metrics have been proposed for
evaluating Natural Language Generation (NLG) systems. The rapid development and …

Adversarial attacks on deep-learning models in natural language processing: A survey

WE Zhang, QZ Sheng, A Alhazmi, C Li - ACM Transactions on Intelligent …, 2020 - dl.acm.org
With the development of high computational devices, deep neural networks (DNNs), in
recent years, have gained significant popularity in many Artificial Intelligence (AI) …

Energy efficient semantic communication over wireless networks with rate splitting

Z Yang, M Chen, Z Zhang… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
In this paper, the problem of wireless resource allocation and semantic information
extraction for energy efficient semantic communications over wireless networks with rate …