Deep learning ensemble 2D CNN approach towards the detection of lung cancer
In recent times, deep learning has emerged as a great resource to help research in medical
sciences. A lot of work has been done with the help of computer science to expose and …
sciences. A lot of work has been done with the help of computer science to expose and …
Sustainable inventory management in blood banks considering health equity using a combined metaheuristic-based robust fuzzy stochastic programming
This study examines the challenges of healthcare systems toward sustainable inventory
management of blood products. In this regard, three main goals are pursued; First …
management of blood products. In this regard, three main goals are pursued; First …
[HTML][HTML] A conceptual metaheuristic-based framework for improving runoff time series simulation in glacierized catchments
Glacio-hydrological modeling is a key task for assessing the influence of snow and glaciers
on water resources, essential for water resources management. The present study aims to …
on water resources, essential for water resources management. The present study aims to …
Towards developing a machine learning-metaheuristic-enhanced energy-sensitive routing framework for the internet of things
The heterogeneous nature, communication constraints, multi-hop data transmissions, and
inherent challenges of wireless connections have caused routing and data transmission …
inherent challenges of wireless connections have caused routing and data transmission …
Sustainable phosphorus fertilizer supply chain management to improve crop yield and P use efficiency using an ensemble heuristic–metaheuristic optimization …
Phosphorus (P) is the most important substance in inorganic fertilizers used in the
agriculture industry. In this study, a multi-product and multi-objective model is presented …
agriculture industry. In this study, a multi-product and multi-objective model is presented …
Swarm intelligence empowered three-stage ensemble deep learning for arm volume measurement in patients with lymphedema
Arm lymphedema is mostly a side effect of the breast cancer surgery and radiation therapy,
which may happen after the cancer treatment. Arm volume in patients with lymphedema …
which may happen after the cancer treatment. Arm volume in patients with lymphedema …
Real-time health monitoring in WBANs using hybrid metaheuristic-driven machine learning routing protocol (MDML-RP)
Wireless body area networks (WBANs) are helpful for remote health monitoring, especially
during the COVID-19 pandemic. Due to the limited batteries of bio-sensors, energy-efficient …
during the COVID-19 pandemic. Due to the limited batteries of bio-sensors, energy-efficient …
Sustainable fertilizer supply chain network design using evolutionary-based resilient robust stochastic programming
M Rabbani, SMH Molana, SM Sajadi… - Computers & Industrial …, 2022 - Elsevier
Phosphorus is an unsustainable substance that plays an essential role in modern
agricultural systems and crop yield. Due to phosphorus growing demand and the …
agricultural systems and crop yield. Due to phosphorus growing demand and the …
[HTML][HTML] TSFIS-GWO: Metaheuristic-driven takagi-sugeno fuzzy system for adaptive real-time routing in WBANs
S Memarian, N Behmanesh-Fard, P Aryai… - Applied Soft …, 2024 - Elsevier
Wireless body area network (WBAN) is an internet-of-things technology that facilitates
remote patient monitoring and enables medical staff to administer timely treatments. One of …
remote patient monitoring and enables medical staff to administer timely treatments. One of …
Application of metaheuristic optimization algorithms-based three strategies in predicting the energy absorption property of a novel aseismic concrete material
This study aims to predict the energy absorption property of a novel aseismic concrete
material made of rubber, sand and cement. To investigate the energy absorption property of …
material made of rubber, sand and cement. To investigate the energy absorption property of …