A smartphone sensors-based personalized human activity recognition system for sustainable smart cities

AR Javed, R Faheem, M Asim, T Baker… - Sustainable Cities and …, 2021 - Elsevier
Abstract According to the Sustainable Development Agenda 2030 of the World Health
Organization, maintaining physical activities have multiple societal privileges for healthier …

A review of physical human activity recognition chain using sensors

O AlShorman, B Alshorman… - Indonesian Journal of …, 2020 - section.iaesonline.com
In the era of Internet of Medical Things (IoMT), healthcare monitoring has gained a vital role
nowadays. Moreover, improving lifestyle, encouraging healthy behaviours, and decreasing …

Human action recognition using three orthogonal planes with unsupervised deep convolutional neural network

A Abdelbaky, S Aly - Multimedia Tools and Applications, 2021 - Springer
Deep learning models have attained great success for an extensive range of computer
vision applications including image and video classification. However, the complex …

Human activity recognition using cascaded dual attention cnn and bi-directional gru framework

H Ullah, A Munir - Journal of Imaging, 2023 - mdpi.com
Vision-based human activity recognition (HAR) has emerged as one of the essential
research areas in video analytics. Over the last decade, numerous advanced deep learning …

Incorporating support vector machine with sequential minimal optimization to identify anticancer peptides

Y Wan, Z Wang, TY Lee - BMC bioinformatics, 2021 - Springer
Background Cancer is one of the major causes of death worldwide. To treat cancer, the use
of anticancer peptides (ACPs) has attracted increased attention in recent years. ACPs are a …

Real-time human posture recognition using an adaptive hybrid classifier

S Zhang, V Callaghan - International Journal of Machine Learning and …, 2021 - Springer
A reliable adaptive hybrid classifier (hAHC), which combines a posture-based adaptive
signal segmentation algorithm with a multi-layer perceptron (MLP) classifier, together with a …

Learning deep C3D features for soccer video event detection

MZ Khan, S Saleem, MA Hassan… - 2018 14th International …, 2018 - ieeexplore.ieee.org
Soccer video event identification has been an interesting task in research community during
past few decades. Numerous machine learning techniques and C2D (Convolution 2 …

Fractional Order Sequential Minimal Optimization Classification Method

C Zhao, L Dai, Y Huang - Fractal and Fractional, 2023 - mdpi.com
Sequential minimal optimization (SMO) method is an algorithm for solving optimization
problems arising from the training process of support vector machines (SVM). The SMO …