Optimizing Deep Learning Model for Software Cost Estimation Using Hybrid Meta-Heuristic Algorithmic Approach. [PDF]
Ul Hassan CA +7 more
europepmc +1 more source
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
Heart disease prediction using ECG-based lightweight system in IoT based on meta-heuristic approach. [PDF]
Abbaszadeh A, Bazargani M.
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
Partial seasonal migration is rarely considered in a metapopulation context. Here, Haaland et al. use an eco‐evolutionary model revealing how partially migratory metapopulations may arise and be maintained, and how seasonal migrants may cause effects of local extreme climatic events to percolate through metapopulations across diverging temporal and ...
Thomas R. Haaland +7 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
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
ABSTRACT Research Question/Issue Retirement age expectations and preferences are shaped by individual, social, and government policy influences. Our paper reviews major policy changes in the Australian Retirement Income System over the past two decades and documents changes in Australian workers' expected and preferred retirement age. Research Findings/
Paul Gerrans +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

