A comprehensive survey on tinyml
Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
Qualities, challenges and future of genetic algorithms: a literature review
A Vie, AM Kleinnijenhuis, DJ Farmer - arXiv preprint arXiv:2011.05277, 2020 - arxiv.org
Genetic algorithms, computer programs that simulate natural evolution, are increasingly
applied across many disciplines. They have been used to solve various optimisation …
applied across many disciplines. They have been used to solve various optimisation …
An efficient rep-style gaussian–wasserstein network: Improved uav infrared small object detection for urban road surveillance and safety
T Aibibu, J Lan, Y Zeng, W Lu, N Gu - Remote Sensing, 2023 - mdpi.com
Owing to the significant application potential of unmanned aerial vehicles (UAVs) and
infrared imaging technologies, researchers from different fields have conducted numerous …
infrared imaging technologies, researchers from different fields have conducted numerous …
[HTML][HTML] Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories
Abstract Automatic Identification System (AIS) offers a wealth of vessel navigation data,
which underpins research in maritime data mining, situational awareness, and knowledge …
which underpins research in maritime data mining, situational awareness, and knowledge …
Information theory-based evolution of neural networks for side-channel analysis
Profiled side-channel analysis (SCA) leverages leakage from cryptographic
implementations to extract the secret key. When combined with advanced methods in neural …
implementations to extract the secret key. When combined with advanced methods in neural …
Variable neighborhood strategy adaptive search for solving green 2-echelon location routing problem
This paper presents the green 2-echelon location routing problem (G2ELRP) which is a
variant of the capacitated location-routing problem (CLRP) and the 2-echelon location …
variant of the capacitated location-routing problem (CLRP) and the 2-echelon location …
Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction
Particle swarm optimization (PSO) has been successfully applied to the sparse
reconstruction problem and achieved good results. With the dimension of the problem …
reconstruction problem and achieved good results. With the dimension of the problem …
Optimal battery energy storage system scheduling based on mutation-improved grey wolf optimizer using gpu-accelerated load flow in active distribution networks
In this paper, a novel Mutation-Improved Grey Wolf Optimizer (MIGWO) model is introduced
in order to solve the optimal scheduling problem for battery energy storage systems (BESS) …
in order to solve the optimal scheduling problem for battery energy storage systems (BESS) …
[HTML][HTML] Parallel genetic algorithms with GPU computing
JR Cheng, M Gen - Industry 4.0-Impact on Intelligent Logistics and …, 2020 - intechopen.com
Genetic algorithms (GAs) are powerful solutions to optimization problems arising from
manufacturing and logistic fields. It helps to find better solutions for complex and difficult …
manufacturing and logistic fields. It helps to find better solutions for complex and difficult …
Parallel hyper-heuristics for process engineering optimization
PP Oteiza, JI Ardenghi, NB Brignole - Computers & Chemical Engineering, 2021 - Elsevier
This paper presents the general framework of a parallel cooperative hyper-heuristic
optimizer (PCHO) to solve systems of nonlinear algebraic equations with equality and …
optimizer (PCHO) to solve systems of nonlinear algebraic equations with equality and …