Adaptive hybrid segmentation combined with meta heuristic optimization in transfer learning for plant leaf disease classification. [PDF]
Naveenkumar M, Nandagopal S.
europepmc +1 more source
Red piranha optimization (RPO): a natural inspired meta-heuristic algorithm for solving complex optimization problems. [PDF]
Rabie AH, Saleh AI, Mansour NA.
europepmc +1 more source
Active employees in the future workplace: From job crafting to selfergetic job crafting
Abstract The job crafting theory implies, but does not explicitly present the relationship between the self and the job. To fill the gap, we theorize upon the holistic view of the self, and selfergy, a new concept reflecting the unique manner by which employees craft their jobs. Based on the principles of the self‐determination theory, we have advanced
Louiza Paraskevopoulou +3 more
wiley +1 more source
Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept. [PDF]
Prabakaran S, Praveena SM.
europepmc +1 more source
Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover. [PDF]
Pourkhodabakhsh N +2 more
europepmc +1 more source
Abstract This study examines the relationship between Chief Financial Officer (CFO) overconfidence and firm performance through the lens of environmental violations and constituency statutes. Drawing on stakeholder and upper echelons theories, we find that firms with overconfident CFOs are more likely to commit environmental violations, which ...
Panagiotis Andrikopoulos +4 more
wiley +1 more source
Heart disease prediction using ECG-based lightweight system in IoT based on meta-heuristic approach. [PDF]
Abbaszadeh A, Bazargani M.
europepmc +1 more source
EEG signals classification using a new radial basis function neural network and jellyfish meta-heuristic algorithm. [PDF]
Rastegar H, Giveki D, Choubin M.
europepmc +1 more source
Production routing decisions in a two‐echelon supply chain with multiple delivery modes
Abstract We study an original two‐echelon production routing problem with multiple delivery modes (2E‐PRP‐MDM). In the first echelon, the primary production facility is tasked with satisfying the demands of two distinct entities: a set of warehouses and a set of customers through direct shipments. In the second echelon, warehouses become delivery hubs,
Rachida Benfedel +2 more
wiley +1 more source
Eeg based smart emotion recognition using meta heuristic optimization and hybrid deep learning techniques. [PDF]
Karthiga M +4 more
europepmc +1 more source

