A smartphone sensors-based personalized human activity recognition system for sustainable smart cities
Abstract According to the Sustainable Development Agenda 2030 of the World Health
Organization, maintaining physical activities have multiple societal privileges for healthier …
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 …
nowadays. Moreover, improving lifestyle, encouraging healthy behaviours, and decreasing …
Human action recognition using three orthogonal planes with unsupervised deep convolutional neural network
Deep learning models have attained great success for an extensive range of computer
vision applications including image and video classification. However, the complex …
vision applications including image and video classification. However, the complex …
Human activity recognition using cascaded dual attention cnn and bi-directional gru framework
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 …
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
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 …
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 …
signal segmentation algorithm with a multi-layer perceptron (MLP) classifier, together with a …
Learning deep C3D features for soccer video event detection
Soccer video event identification has been an interesting task in research community during
past few decades. Numerous machine learning techniques and C2D (Convolution 2 …
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 …
problems arising from the training process of support vector machines (SVM). The SMO …