Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review

J Carrasco, S García, MM Rueda, S Das… - Swarm and Evolutionary …, 2020 - Elsevier
A key aspect of the design of evolutionary and swarm intelligence algorithms is studying
their performance. Statistical comparisons are also a crucial part which allows for reliable …

Physical activity is a medicine for non-communicable diseases: a survey study regarding the perception of physical activity impact on health wellbeing

ZA Saqib, J Dai, R Menhas, S Mahmood… - … and healthcare policy, 2020 - Taylor & Francis
Background A modifiable risk factor for many diseases is physical inactivity. In this modern
era, physical activity is acknowledged as a vital strategy to promote good health. According …

Wilcoxon rank sum test drift detector

RSM de Barros, JIG Hidalgo, DR de Lima Cabral - Neurocomputing, 2018 - Elsevier
Online learning regards extracting information from large quantities of data (streams) usually
affected by changes in the distribution (concept drift). Drift detectors are software that …

Analysis of employees' competencies in the context of industry 4.0

B Kowal, D Włodarz, E Brzychczy, A Klepka - Energies, 2022 - mdpi.com
The implementation of Industry 4.0 technology and meeting the expectations of employers,
the labour market, and, in fact, sustainable development are new challenges for industry …

Prediction of lymph node metastasis in patients with papillary thyroid carcinoma: a radiomics method based on preoperative ultrasound images

T Liu, S Zhou, J Yu, Y Guo, Y Wang… - … in cancer research …, 2019 - journals.sagepub.com
Background: Papillary thyroid carcinoma is a type of indolent tumor with a dramatically
increasing incidence rate and stably high survival rate. Reducing the overdiagnosis and …

Fuzzy hypothesis testing: Systematic review and bibliography

N Chukhrova, A Johannssen - Applied soft computing, 2021 - Elsevier
In statistical inference hypotheses related to different kinds of phenomena are formulated,
and then data are collected and analyzed, which either confirm or falsify these hypotheses …

A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems

X Kong, Y Yang, Z Lv, J Zhao, R Fu - Applied Soft Computing, 2023 - Elsevier
Many multi-objective evolutionary algorithms are proposed to handle constrained multi-
objective optimization problems. Nevertheless, they often fail to appropriately balance …

Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG

C Chauhan, RK Tripathy, M Agrawal - Biomedical Signal Processing and …, 2023 - Elsevier
Myocardial Infarction (MI) is an emergency condition that requires immediate medical
treatment. The rapid and accurate diagnosis of MI using a 12-lead electrocardiogram (ECG) …

UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering

F Zhang, Z Zhang, P Zhang, S Wang - Knowledge-Based Systems, 2018 - Elsevier
The existing unsupervised methods usually require a prior knowledge to ensure the
performance when detecting shilling attacks in collaborative filtering recommender systems …

Selective disassembly sequence planning under uncertainty using trapezoidal fuzzy numbers: A novel hybrid metaheuristic algorithm

X Zhang, A Fu, C Zhan, DT Pham, Q Zhao… - … Applications of Artificial …, 2024 - Elsevier
Nowadays, recycling end-of-life (EoL) products has emerged as a vital approach to address
resource scarcity. Within the recycling process, disassembly plays a pivotal role and has …