Recent trends in multicue based visual tracking: A review
A Kumar, GS Walia, K Sharma - Expert Systems with Applications, 2020 - Elsevier
In the recent years, multicue visual tracking frameworks have been preferred over single cue
visual tracking approaches to address critical environmental challenges. In literature, it has …
visual tracking approaches to address critical environmental challenges. In literature, it has …
Short-term wind power prediction based on EEMD–LASSO–QRNN model
Y He, Y Wang - Applied Soft Computing, 2021 - Elsevier
With the increasing utilization of wind generation in power system, the improvement of wind
power forecasting precision is attached vital importance. Owing to the stochastic and …
power forecasting precision is attached vital importance. Owing to the stochastic and …
A survey on evolutionary computation for computer vision and image analysis: Past, present, and future trends
Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
A survey of swarm and evolutionary computing approaches for deep learning
Deep learning (DL) has become an important machine learning approach that has been
widely successful in many applications. Currently, DL is one of the best methods of …
widely successful in many applications. Currently, DL is one of the best methods of …
Collaborative swarm intelligence to estimate PV parameters
HGG Nunes, JAN Pombo, PMR Bento… - Energy Conversion and …, 2019 - Elsevier
To properly evaluate, control and optimize photovoltaic (PV) systems, it is crucial to
accurately estimate the equivalent electric circuit parameters from the respective …
accurately estimate the equivalent electric circuit parameters from the respective …
Improving exploration and exploitation via a hyperbolic gravitational search algorithm
Finding the best compromise between exploration and exploitation phases of a search
algorithm is a hard task. The Gravitational Search Algorithm (GSA) is an evolutionary …
algorithm is a hard task. The Gravitational Search Algorithm (GSA) is an evolutionary …
A hybrid algorithm based on self-adaptive gravitational search algorithm and differential evolution
F Zhao, F Xue, Y Zhang, W Ma, C Zhang… - Expert Systems with …, 2018 - Elsevier
Abstract The Gravitational Search Algorithm (GSA) has excellent performance in solving
various optimization problems. However, it has been demonstrated that GSA tends to trap …
various optimization problems. However, it has been demonstrated that GSA tends to trap …
A novel squeeze YOLO-based real-time people counting approach
P Ren, L Wang, W Fang, S Song… - International Journal of …, 2020 - inderscienceonline.com
Real-time people counting based on videos is one of the most popular projects in the
construction of smart cities. To develop an accurate people counting approach, deep …
construction of smart cities. To develop an accurate people counting approach, deep …
Effective moving object tracking using modified flower pollination algorithm for visible image sequences under complicated background
In real time moving object tracking, various unconstraint factors such as severe occlusion
and background clutter remain a challenge for develo** an effective yet robust tracking …
and background clutter remain a challenge for develo** an effective yet robust tracking …
Hybrid adaptive simplified human learning optimization algorithms for supply chain network design problem with possibility of direct shipment
A Shoja, S Molla-Alizadeh-Zavardehi… - Applied soft computing, 2020 - Elsevier
A two-stage supply chain network design problem with a minimization type cost-based
objective function is focused in this study. Some important assumptions such as considering …
objective function is focused in this study. Some important assumptions such as considering …