Advances in sparrow search algorithm: a comprehensive survey

FS Gharehchopogh, M Namazi, L Ebrahimi… - … Methods in Engineering, 2023 - Springer
Mathematical programming and meta-heuristics are two types of optimization methods. Meta-
heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural …

Smart home system: a comprehensive review

A Chakraborty, M Islam, F Shahriyar… - Journal of Electrical …, 2023 - Wiley Online Library
Smart home is a habitation that has been outfitted with technological solutions that are
intended to provide people with services that are suited to their needs. The purpose of this …

Design of inception with deep convolutional neural network based fall detection and classification model

K Durga Bhavani, M Ferni Ukrit - Multimedia Tools and Applications, 2024 - Springer
Falling is the most serious health problem for elderly population resulting in serious injuries,
if not treated quickly. As the world population gets increased, the number of serious falls and …

Predicting trends and research patterns of smart cities: a semi-automatic review using latent dirichlet allocation (LDA)

C Sharma, I Batra, S Sharma, A Malik… - IEEE …, 2022 - ieeexplore.ieee.org
Smart cities are a current worldwide topic requiring much scientific investigation. This
research instigates the necessity of an organized review to a heedful insight of the research …

A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques

SK Gharghan, HA Hashim - Measurement, 2024 - Elsevier
Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …

Accelerometer-based human fall detection using sparrow search algorithm and back propagation neural network

T Wang, B Wang, Y Shen, Y Zhao, W Li, K Yao, X Liu… - Measurement, 2022 - Elsevier
To reduce the injury caused by the fall and solve the problems of low efficiency and low
accuracy of traditional fall prediction methods, an optimized BP neural network fall prediction …

Iot based elderly monitoring system

S Deepika, KP Vijayakumar - 2022 6th International …, 2022 - ieeexplore.ieee.org
As the population of older adults increases the need for their health monitoring and their
daily activities monitoring also increases. By 2050, there will be more than 319 million older …

Using wearable sensors to measure goal achievement in older veterans with dementia

J Freytag, RK Mishra, RL Street Jr, A Catic, L Dindo… - Sensors, 2022 - mdpi.com
Aligning treatment with patients' self-determined goals and health priorities is challenging in
dementia care. Wearable-based remote health monitoring may facilitate determining the …

Deep transfer learning-based fall detection approach using IoMT-enabled thermal imaging-assisted pervasive surveillance and big health data

K Rezaee, MR Khosravi, N Neshat… - Journal of Circuits …, 2022 - World Scientific
People's need for healthcare capacity has become increasingly critical as the elderly
population continues to grow in most communities. Approximately 25–47% of seniors fall …

A Novel Outlier Detection Method of Long‐Term Dam Monitoring Data Based on SSA‐NAR

J Song, Y Chen, J Yang - Wireless Communications and …, 2022 - Wiley Online Library
Outlier generally exists in dam monitoring data which may seriously affect the accuracy of
dam safety evaluation results. Aiming at the outlier detection of dam monitoring data, a novel …