[HTML][HTML] Ai-driven cybersecurity: an overview, security intelligence modeling and research directions

IH Sarker, MH Furhad, R Nowrozy - SN Computer Science, 2021 - Springer
Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …

[HTML][HTML] Application of artificial intelligence in food industry—a guideline

NR Mavani, JM Ali, S Othman, MA Hussain… - Food Engineering …, 2022 - Springer
Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …

Fifty years of Information Sciences: A bibliometric overview

JM Merigó, W Pedrycz, R Weber, C de la Sotta - Information Sciences, 2018 - Elsevier
Abstract Information Sciences is a leading international journal in computer science
launched in 1968, so becoming fifty years old in 2018. In order to celebrate its anniversary …

Fuzzy rule based unsupervised sentiment analysis from social media posts

S Vashishtha, S Susan - Expert Systems with Applications, 2019 - Elsevier
In this paper, we compute the sentiment of social media posts using a novel set of fuzzy
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …

Assessment of safety management system on energy investment risk using house of quality based on hybrid stochastic interval-valued intuitionistic fuzzy decision …

S Fang, P Zhou, H Dinçer, S Yüksel - Safety Science, 2021 - Elsevier
The purpose of the study is to construct a novel hybrid stochastic interval-valued intuitionistic
fuzzy (IVIF) decision approach to the house of quality (HoQ)-based analysis of safety …

[HTML][HTML] FCM–SVM based intrusion detection system for cloud computing environment

AN Jaber, SU Rehman - Cluster Computing, 2020 - Springer
Cloud computing offer various services over the Internet based on pay-per-use concept.
Therefore, many organizations have already adopted this system to attract the users with its …

A comprehensive survey on clustering in vehicular networks: Current solutions and future challenges

M Ayyub, A Oracevic, R Hussain, AA Khan, Z Zhang - Ad Hoc Networks, 2022 - Elsevier
Vehicular networks are on the verge of deployment, thanks to the advancements in
computation and communication technologies. This breed of ad hoc networks leverages …

Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review

H Ahmadi, M Gholamzadeh, L Shahmoradi… - Computer Methods and …, 2018 - Elsevier
Abstract Background and Objective Diagnosis as the initial step of medical practice, is one of
the most important parts of complicated clinical decision making which is usually …

[HTML][HTML] An intelligent decision support system for production planning based on machine learning

G González Rodríguez, JM Gonzalez-Cava… - Journal of Intelligent …, 2020 - Springer
This paper presents a new methodology to solve a Closed-Loop Supply Chain (CLSC)
management problem through a decision-making system based on fuzzy logic built on …

[HTML][HTML] Semi-random partitioning of data into training and test sets in granular computing context

H Liu, M Cocea - Granular Computing, 2017 - Springer
Due to the vast and rapid increase in the size of data, machine learning has become an
increasingly more popular approach for the purpose of knowledge discovery and predictive …