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Apr 30, 2025Open Access
Personal privacy, in various aspects, has occupied humanity since the dawn of civilization, evolving and changing throughout human history. For the last two decades, the issue of privacy has constantly been at the center of public debate. Privacy, particularly various aspects of personal privacy1, persistently remains the focus of public attention. The growing preoccupation with personal privacy stems from the great changes ?[1] that information and communication technologies (ICTs) have brought...
Apr 17, 2025Open Access
This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated Recurrent Unit (BiGRU) neural network to enhance classification accuracy and efficiency. Traditional text classification methods often suffer from inefficiency and insufficient accuracy when handling large-scale news data, whereas the application of deep learning techniques provides a novel approach to im...
Mar 19, 2025Open Access
The food recognition systems are available for foreign dishes but much work has not been done for our traditional dishes making it difficult to classify the traditional dishes and the ingredients they are made up of. From extensive literature reviews conducted, the existing models on food recognition are not robust enough to handle classification and identification of ingredients in traditional dishes. This study developed an improved food recognition system for the classification and identifica...
Jul 31, 2024Open Access
This study compared Inertial Measurement Unit (IMU) and Optical Motion Capture (OMC) systems in measuring peak ankle angles and Range of Motion (ROM) during Countermovement Jumps (CMJ) and Lateral Skater Jumps (LSJ). Data during these agility movements were analyzed and the ankle angles in pitch, roll, and yaw for the IMU were determined using algorithms which integrated gyroscope data, aligned it with foot flat reference, and fused it with accelerometer-derived inclination angles using a comple...
May 08, 2024Open Access
Water quality parameter prediction is a new water quality detection tech-nology in the era of big data, which plays a vital role in the management and protection of water resources. Traditional water quality parameter pre-diction models such as RNN and LSTM have low accuracy and cannot provide scientific basis for water environment management effectively. This paper takes the water quality parameters of Subei irrigation canal in Huaian as the research object, analyzes and compares three predicti...
Sep 15, 2023Open Access
Machine learning systems have found extensive applications as auxiliary tools in domains that necessitate critical decision-making, such as healthcare and criminal justice. The interpretability of these systems’ decisions is of paramount importance to instill trust among users. Recently, there have been developments in globally-consistent rule-based summary-explanation and its max-support (MSGC) problem, enabling the provision of explanations for specific decisions along with pertinent dataset s...
Sep 03, 2021Open Access
This paper explores how to prepare data for analyzing the Chinese texts with R language based on the theory of Welbers, particularly comparing the R package Rwordseg with jiebaR to see the results of Chinese text segmentation at the step of preprocessing.
May 26, 2020Open Access
In order to improve the reliability of busbar protection, a new fast busbar protection algorithm based on active power and extreme learning machine is proposed. By performing S-transformation on the fault voltage and current traveling wave, the active power amplitude within 0.1 ms after the fault is obtained. Simulate different fault types in the busbar area and build a bus fault feature vector sample set. The intelligent model of fault learning of extreme learning machine is established, and th...
Feb 23, 2018Open Access
A new PLSGP (potential smokers-light smokers-persistent smokers-giving up smokers-potential smokers) model with birth and death rates on complex heterogeneous networks is presented. Using the mean-field theory, we obtain the basic reproduction number R0 and find that basic reproduction number for constant contact is independent of the topology of the underlying networks. When R0<1, the smoki ...
May 22, 2017Open Access
In this paper, a modified SIS (susceptible-infected-susceptible) model with infective medium
and feedback mechanism on scale-free networks is presented. The model is suited to describe some epidemic spreading which are not only transmitting by
medium but also spreading between individuals by direct contacts. Considering
biological relevance and people’s subjecti ...
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