Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges

M Azeem, S Javaid, RA Khalil, H Fahim, T Althobaiti… - Bioengineering, 2023 - mdpi.com
Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount
of raw data into beneficial medical decisions for treatment and care has increased in …

Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)

A Karaman, I Pacal, A Basturk, B Akay… - Expert systems with …, 2023 - Elsevier
Colorectal cancer (CRC) is one of the most common cancer types with a high mortality rate.
Colonoscopy is considered the gold standard in CRC screening, it also provides immediate …

A review of methodologies for managing energy flexibility resources in buildings

O Pedram, E Asadi, B Chenari, P Moura… - Energies, 2023 - mdpi.com
The integration of renewable energy and flexible energy sources in buildings brings
numerous benefits. However, the integration of new technologies has increased the …

A multi-objective artificial bee colony approach for profit-aware recommender systems

JA Concha-Carrasco, MA Vega-Rodríguez… - Information Sciences, 2023 - Elsevier
Movie recommender systems are increasingly present in our daily lives, offering content of
interest from streaming providers. Objectives in addition to the liking probability can be …

Facial micro emotion detection and classification using swarm intelligence based modified convolutional network

AN Arun, P Maheswaravenkatesh… - Expert Systems with …, 2023 - Elsevier
Emotions are what makes us humans. Recognizing human emotions from facial micro
expression features help us learn the true emotional state of a person. This technique of …

Evolutionary multitasking for bidirectional adaptive codec: A case study on vehicle routing problem with time windows

Y Wu, Y Cai, C Fang - Applied Soft Computing, 2023 - Elsevier
The vehicle routing problem (VRP), an NP-hard problem of considerable complexity,
pertains to the determination of optimal sequences of customer visits in an effort to minimize …

Solving line balancing and AGV scheduling problems for intelligent decisions using a Genetic-Artificial bee colony algorithm

J Mumtaz, KA Minhas, M Rauf, L Yue, Y Chen - Computers & Industrial …, 2024 - Elsevier
Due to the rapid advancement of technology, the demand for electronic devices in various
sectors such as consumer electronics, automotive, telecommunications, healthcare, and …

[HTML][HTML] A two-stage stochastic model for a multi-objective blood platelet supply chain network design problem incorporating frozen platelets

TY Suen, X Song, D Jones - Computers & Industrial Engineering, 2023 - Elsevier
Platelet supply chain (PLT SC) management is always a challenging task for healthcare
systems due to the nature of platelets (PLTs). PLTs have an extremely short shelf life and …

ESCM: An efficient and secure communication mechanism for UAV networks

H Luo, Y Wu, G Sun, H Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
UAV (unmanned aerial vehicle) is rapidly gaining traction in various human activities and
has become an integral component of the satellite-air-ground-sea (SAGS) integrated …

Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization

J Oh, J Lee, J Park, N Jeon, GS Na, H Chang… - ACS Materials …, 2024 - ACS Publications
Recent advances in data-driven approaches using the machine learning (ML) method have
enabled the discovery of high-performance materials. This paper presents a hybrid …