Applications of the Internet of Things (IoT) in smart logistics: A comprehensive survey

Y Song, FR Yu, L Zhou, X Yang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Logistics is a driver of countries' and firms' competitiveness and plays a vital role in
economic growth. However, the current logistics industry still faces high costs and low …

Artificial intelligence in the IVF laboratory: overview through the application of different types of algorithms for the classification of reproductive data

EI Fernandez, AS Ferreira, MHM Cecílio… - Journal of assisted …, 2020 - Springer
Over the past years, the assisted reproductive technologies (ARTs) have been accompanied
by constant innovations. For instance, intracytoplasmic sperm injection (ICSI), time-lapse …

Attack classification using feature selection techniques: a comparative study

A Thakkar, R Lohiya - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
The goal of securing a network is to protect the information flowing through the network and
to ensure the security of intellectual as well as sensitive data for the underlying application …

A comparative study on student performance prediction using machine learning

Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …

Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks

FR Lima-Junior, LCR Carpinetti - International Journal of Production …, 2019 - Elsevier
A supply chain performance prediction system aims to estimate lagging metrics based on
leading metrics so as to predict performance based on causal relationships. Two studies in …

Machine learning techniques in concrete mix design

P Ziolkowski, M Niedostatkiewicz - Materials, 2019 - mdpi.com
Concrete mix design is a complex and multistage process in which we try to find the best
composition of ingredients to create good performing concrete. In contemporary literature, as …

Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system

A Sohani, S Hoseinzadeh, S Samiezadeh… - Journal of Thermal …, 2022 - Springer
An enhanced design for a solar still desalination system which has been proposed in the
previously conducted study of the research team is considered here, and the experimental …

A study on single and multi-layer perceptron neural network

J Singh, R Banerjee - 2019 3rd International Conference on …, 2019 - ieeexplore.ieee.org
Perceptron is the most basic model among the various artificial neural nets, has historically
impacted and initiated the research in the field of artificial nets, with intrinsic learning …

A two-stage explainable artificial intelligence approach for classification-based job cycle time prediction

T Chen, YC Wang - The International Journal of Advanced Manufacturing …, 2022 - Springer
Recently, many methods based on artificial neural networks (ANNs) or deep neural
networks (DNNs) have been proposed to accurately predict the cycle time of a job. However …

A survey on soft computing techniques for federated learning-applications, challenges and future directions

Y Supriya, TR Gadekallu - ACM Journal of Data and Information Quality, 2023 - dl.acm.org
Federated Learning is a distributed, privacy-preserving machine learning model that is
gaining more attention these days. Federated Learning has a vast number of applications in …