Human activity recognition is a crucial domain in computer science and artificial intelligence that involves the Detection, Classification, and Prediction
A novel subsection approximate entropy (ApEn) is proposed to describe the sleep electroencephalogram (EEG). The primary virtues of the method are as follows. First, it can omit individual differences, and second, it can give more detailed information on the transitional state from one stage to ...
A short critical review of pharma-LCAs found in the literature is here proposed, with discussion of several tools and models used to predict the environmental impacts derived from the life cycle of pharmaceuticals, emphasizing current strengths and weaknesses, and exploring the possibilities for ...
The definition of entropy in information theory is as follows: if there are multiple events in system S, then S = {E1,…, En}, the probability distribution of each event P = {p1…, pn}, and then the amount of information is single. The meaning of the event is as follows:...
Recent advances in wearable sensor technologies enable objective and long-term monitoring of motor activities in a patient’s habitual environment. People with mobility impairments require appropriate data processing algorithms that deal with their alter
It plays a vital role in handling complex daily life problems involving uncertainty. In this manuscript, we first review several existing entropy measures and then propose novel entropy to measure the uncertainty of a fuzzy set. We also construct an axiomatic definition based on the proposed ...
Comprehensive evaluation methods mainly include principal component analysis, entropy method, fuzzy comprehensive evaluation method, and linear weighted analysis method [29]. Based on the practical economic significance and the interpretability of the measurement results, this paper selects fuzzy comprehensive...
In the second phase, entropy and skewness vectors are calculated from fused feature vector (FV) to select best subsets of features by suggested FEcS approach. The best subsets of picked features are finally fed to multiple classifiers and finest one is chosen on the basis of accuracy value. ...
(AHP) and entropy method etc. Chen et al. (2016) constructed the evaluation index system of urban resilience using Delphi and AHP methods. Huang et al. (2021) used the literature review and Delphi method to identify the main influencing factors of urban resilience. Wang et al. (2021a) ...
Recent advances in wearable sensor technologies enable objective and long-term monitoring of motor activities in a patient’s habitual environment. People with mobility impairments require appropriate data processing algorithms that deal with their alter