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Apr 30, 2025Open    Access

How Information and Communication Technologies Expose Our Deep Personal Privacy

Yair Oppenheim
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113066


Apr 17, 2025Open    Access

Research on the Design of News Text Classification Algorithm Based on Bidirectional GRU Neural Network

Xiaonan Gu
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113226


Mar 19, 2025Open    Access

Predicting Categories and Ingredients of Traditional Dishes Using Deep Learning and Cross-Attention Mechanism

Ima Sokolo,Chidiebere Ugwu,Friday E. Onuodu
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1112846


Jul 31, 2024Open    Access

Measurement of Ankle Joint Kinematics Using IMUs during Countermovement Jumps and Lateral Skater Jumps

Ifeoluwa Olawore
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...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1111809


May 08, 2024Open    Access

Research on Water Quality Parameter Prediction Model Based on TCN

Hang Yang,Xiaoqi Yin,Li Hong,Kun Jiang,Xingyu Zhang
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...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1111421


Sep 15, 2023Open    Access

Heavy-Head Sampling Strategy of Graph Convolutional Neural Networks for q-Consistent Summary-Explanations with Application to Credit Evaluation Systems

Xinrui Dou
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...
Open Access Library J.   Vol.10, 2023
Doi:10.4236/oalib.1110615


Sep 03, 2021Open    Access

The Exploration of the Approach to Data Preparation for Chinese Text Analysis Based on R Language

Jiang Li
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.
Open Access Library J.   Vol.8, 2021
Doi:10.4236/oalib.1107821


May 26, 2020Open    Access

New Principle of Busbar Protection Based on Active Power and Extreme Learning Machine

Syed Hassan Lal Gilani, Xingxing Dong, Haiyan Xu
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...
Open Access Library J.   Vol.7, 2020
Doi:10.4236/oalib.1106167


Feb 23, 2018Open    Access

Spreading Dynamic of a PLSGP Giving up Smoking Model on Scale-Free Network

Yanling Fei, Xiongding Liu
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
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Open Access Library J.   Vol.5, 2018
Doi:10.4236/oalib.1104365


May 22, 2017Open    Access

An SIS Epidemic Model with Infective Medium and Feedback Mechanism on Scale-Free Networks

Xiongding Liu, Tao Li, Yuanmei Wang, Chen Wan, Jing Dong
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
...
Open Access Library J.   Vol.4, 2017
Doi:10.4236/oalib.1103598


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