… The present work proposes a state of the art smartphone based system for fall detection in
the elderly and/or the PD patients in indoor or outdoor environments. The proposed system …

… focus on fall detection. The approach employs a killer heuristic-optimized AlexNet convolutional
neural network strategy to establish a highly efficient and optimal fall detection system. …

… These data captured from the different sensors were then combined and analysed using
machine learning approaches to identify the best approach for fall detection. To validate their …

… Existing fall detection and prediction systems focus on physiological factors such as gait, vision,
… Alwadain, "Killer heuristic optimized convolution neural network-based fall detection with …

… In this paper [31], an efficient and optimized fall detection system is introduced, which
adopts a killer heuristic optimization method [32] based on the AlexNet convolutional neural …

… , fall detection is a crucial research direction in AI applications for the elderly. The “fall
detection prevention” area mostly concerns fall … As we can see, fall detection systems may be …

This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-heuristic
bio-inspired and non-bio-inspired algorithms, focusing on their source of …

… meta-heuristic models, hybrid meta heuristic models and hyper heuristic model. This work’s
major contribution is on building a hyper heuristics approach from a meta-heuristic algorithm …

… augmentation for accurate thrashing detection and agile task killing. To identify a thrashing
task, UA killer features a novel mechanism, constraint thrashing. Upon UA killer, we develop …