Learning path personalization and recommendation methods: A survey of the state-of-the-art

AH Nabizadeh, JP Leal, HN Rafsanjani… - Expert Systems with …, 2020 - Elsevier
A learning path is the implementation of a curriculum design. It consists of a set of learning
activities that help users achieve particular learning goals. Personalizing these paths …

A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition

AB Sargano, P Angelov, Z Habib - applied sciences, 2017 - mdpi.com
Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …

A survey on ambient intelligence in healthcare

G Acampora, DJ Cook, P Rashidi… - Proceedings of the …, 2013 - ieeexplore.ieee.org
Ambient Intelligence (AmI) is a new paradigm in information technology aimed at
empowering people's capabilities by means of digital environments that are sensitive …

A survey on the cyber security of small-to-medium businesses: challenges, research focus and recommendations

A Chidukwani, S Zander, P Koutsakis - IEEE Access, 2022 - ieeexplore.ieee.org
Small-to-medium sized businesses (SMBs) constitute a large fraction of many countries'
economies but according to the literature SMBs are not adequately implementing cyber …

Autonomous learning for fuzzy systems: a review

X Gu, J Han, Q Shen, PP Angelov - Artificial Intelligence Review, 2023 - Springer
As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

Market2Dish: health-aware food recommendation

W Wang, LY Duan, H Jiang, P Jing, X Song… - ACM Transactions on …, 2021 - dl.acm.org
With the rising incidence of some diseases, such as obesity and diabetes, the healthy diet is
arousing increasing attention. However, most existing food-related research efforts focus on …

Understanding and personalising smart city services using machine learning, The Internet-of-Things and Big Data

J Chin, V Callaghan, I Lam - 2017 IEEE 26th international …, 2017 - ieeexplore.ieee.org
This paper explores the potential of Machine Learning (ML) and Artificial Intelligence (AI) to
lever Internet of Things (IoT) and Big Data in the development of personalised services in …

[PDF][PDF] Outside the box: an alternative data analytics framework

P Angelov - Journal of Automation Mobile Robotics and Intelligent …, 2014 - bibliotekanauki.pl
In this paper, an alternative framework for data analytics is proposed which is based on the
spatially-aware concepts of eccentricity and typicality which represent the density and …

Human action recognition with video data: research and evaluation challenges

M Ramanathan, WY Yau… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Given a video sequence, the task of action recognition is to identify the most similar action
among the action sequences learned by the system. Such human action recognition is …

Evolving fuzzy and neuro-fuzzy systems: Fundamentals, stability, explainability, useability, and applications

E Lughofer - Handbook on Computer Learning and Intelligence …, 2022 - World Scientific
This chapter provides an all-round picture of the development and advances in the fields of
evolving fuzzy systems (EFS) and evolving neuro-fuzzy systems (ENFS) which have been …