Efficient initialization methods for population-based metaheuristic algorithms: A comparative study
The size, nature, and diversity of the initial population of population-based metaheuristic
algorithms and the number of times the algorithm iterates play a significant role in the …
algorithms and the number of times the algorithm iterates play a significant role in the …
A comprehensive review of bat inspired algorithm: Variants, applications, and hybridization
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …
dealing with various optimization problems in diverse fields, such as power and energy …
Human activity recognition using marine predators algorithm with deep learning
In the era of smart life, tracking human activities and motion can play a significant role in the
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …
Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors
E Essa, IR Abdelmaksoud - Knowledge-Based Systems, 2023 - Elsevier
Human activity recognition (HAR) is an essential task in many applications such as health
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
A comprehensive survey on arithmetic optimization algorithm
Abstract Arithmetic Optimization Algorithm (AOA) is a recently developed population-based
nature-inspired optimization algorithm (NIOA). AOA is designed under the inspiration of the …
nature-inspired optimization algorithm (NIOA). AOA is designed under the inspiration of the …
The applications of metaheuristics for human activity recognition and fall detection using wearable sensors: A comprehensive analysis
In this paper, we study the applications of metaheuristics (MH) optimization algorithms in
human activity recognition (HAR) and fall detection based on sensor data. It is known that …
human activity recognition (HAR) and fall detection based on sensor data. It is known that …
Wind power forecasting using optimized dendritic neural model based on seagull optimization algorithm and aquila optimizer
It is necessary to study different aspects of renewable energy generation, including wind
energy. Wind power is one of the most important green and renewable energy resources …
energy. Wind power is one of the most important green and renewable energy resources …
An optimized deep learning model for human activity recognition using inertial measurement units
Human activity recognition (HAR) has recently gained popularity due to its applications in
healthcare, surveillance, human‐robot interaction, and various other fields. Deep learning …
healthcare, surveillance, human‐robot interaction, and various other fields. Deep learning …
MLCNNwav: Multilevel Convolutional Neural Network With Wavelet Transformations for Sensor-Based Human Activity Recognition
A Dahou, MAA Al-Qaness… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a rapidly growing field of research that aims to
automatically identify and classify human motions and activities from different tracking …
automatically identify and classify human motions and activities from different tracking …
Feature selection for high dimensional datasets based on quantum-based dwarf mongoose optimization
Feature selection (FS) methods play essential roles in different machine learning
applications. Several FS methods have been developed; however, those FS methods that …
applications. Several FS methods have been developed; however, those FS methods that …