The development of accurate energy forecasting models for smart grids is strongly dependent on the availability of high-quality and high-resolution datasets. However, in many developing regions, particularly in Morocco, such datasets remain scarce, incomplete, or non-public. This limitation significantly constrains the application of advanced machine learning and deep learning techniques for energy demand prediction and grid optimization. This paper proposes a novel hybrid synthetic energy data ...

Complex network models  Green networking  Grid Computing 

Texas College is dedicated to enhancing connectivity and internet bandwidth to support advanced research and collaboration among students and faculty. The Network Management Plan ensures reliable connectivity and security for immersive learning experiences. This paper explores the transformative potential of Cyberinfrastructure at Texas College to reconstruct campus cyberinfrastructure (CC*) through a planning project. This strategy is based on three different layers. The first layer becomes tha...

Communication Protocols  Complex network models  Computer and Network Security  Electric Engineering  Technology  Applications of Communication Systems  Network Modeling and Simulation 

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...

Complex network models 

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...

Complex network models 

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...

Complex network models 

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...

Bioengineering  Biophysics  Biological Engineering  Mechanics  Complex network models  Orthopedics  Rehabilitation Medicine  Electric Engineering  Kinesiology  Technology  Occupational Health  Mechanical Engineering  Computational Biology 

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...

Complex network models 

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...

Complex network models  Artificial Intelligence  Big Data Search and Mining 

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.

Complex network models  Big Data Search and Mining 

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...

Complex network models  Mathematical Analysis  Mathematical Economics  Applied Physics  Analytical Chemistry