Results 151 to 160 of about 11,354 (208)

MRI neuroimaging-based Alzheimer's disease stage classification using deep neural network with convolutional block attention module and GAN-style noise injection. [PDF]

Sci Rep
Kumar S, Shastri S, Mansotra V, Salgotra R.   +3 more
europepmc   +1 more source

Nature-inspired swarm optimization paradigms for securing semantic web frameworks against DDoS attacks: a computational approach. [PDF]

Sci Rep
Ganguli C, Kumar Shandilya S, Izonin I, Hentosh L.   +3 more
europepmc   +1 more source

Semi-supervised GAN with hybrid regularization and evolutionary hyperparameter tuning for accurate melanoma detection. [PDF]

Sci Rep
Golkarieh A, Razmara P, Lagzian A, Dolatabadi A, Mousavirad SJ.   +4 more
europepmc   +1 more source

A hybrid PSO-FPA metaheuristic algorithm for ultra-low sidelobe and high-directivity synthesis of concentric circular antenna arrays for advanced radar applications. [PDF]

Sci Rep
Brahimi M, Haouam I, Bouddou R, Almomani O, Salau AO, Hunko I.   +5 more
europepmc   +1 more source

A hybrid bio inspired neural model based on Ropalidia Marginata behavior for multi disease classification. [PDF]

Sci Rep
Ali M, Khan A, Ramli DA, Imran M, Bangash JI, Khan A.   +5 more
europepmc   +1 more source

A bio-inspired swarm UAV framework integrating thermal sensing and optimization-based coordination for efficient search and rescue operations. [PDF]

Sci Rep
Kareem AA, Abid AJ, Hammood DA, Alubady R, Yaqoob SJ, Almomani O, Rubanenko O.   +6 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

On the performance of artificial bee colony (ABC) algorithm

Applied Soft Computing, 2008
Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms. This work compares the performance of ABC algorithm with that of differential evolution (DE), particle swarm optimization (PSO) and evolutionary algorithm (EA) for multi-dimensional numeric problems.
Karaboga, Derviş, Basturk, Bahriye
openaire   +4 more sources

A novel clustering approach: Artificial Bee Colony (ABC) algorithm

Applied Soft Computing, 2011
Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algorithms, simulates the intelligent foraging behavior of a honey bee swarm. Clustering analysis, used in many disciplines and applications, is an important tool and a descriptive task seeking to identify homogeneous groups of objects based on the values of
KARABOĞA, Derviş, ÖZTÜRK , Celal
openaire   +4 more sources

A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems

Applied Soft Computing, 2011
Abstract: Artificial Bee Colony (ABC) algorithm was firstly proposed for unconstrained optimization problems on where that ABC algorithm showed superior performance. This paper describes a modified ABC algorithm for constrained optimization problems and compares the performance of the modified ABC algorithm against those of state-of-the-art algorithms ...
KARABOĞA, Derviş, AKAY, Bahriye
openaire   +4 more sources