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 …
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …
Federated learning in edge computing: a systematic survey
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 …
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
Natural language processing (NLP) has been studied in computing for decades. Recent
technological advancements have led to the development of sophisticated artificial …
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 …
trained Transformer (ChatGPT) in medical research, including but not limited to treatment …
Trustworthy ai: A computational perspective
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 …
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
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 …
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
A survey of evaluation metrics used for NLG systems
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 …
evaluating Natural Language Generation (NLG) systems. The rapid development and …
Adversarial attacks on deep-learning models in natural language processing: A survey
With the development of high computational devices, deep neural networks (DNNs), in
recent years, have gained significant popularity in many Artificial Intelligence (AI) …
recent years, have gained significant popularity in many Artificial Intelligence (AI) …
Energy efficient semantic communication over wireless networks with rate splitting
In this paper, the problem of wireless resource allocation and semantic information
extraction for energy efficient semantic communications over wireless networks with rate …
extraction for energy efficient semantic communications over wireless networks with rate …