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38,057 Results Found

  • Article
  • Open Access
3 Citations
14,305 Views
25 Pages

A Next-Generation Core Network Architecture for Mobile Networks

  • Andrea G. Forte,
  • Wei Wang,
  • Luca Veltri and
  • Gianluigi Ferrari

Over the years, the cellular mobile network has evolved from a wireless plain telephone system to a very complex system providing telephone service, Internet connectivity and many interworking capabilities with other networks. Its air interface perfo...

  • Article
  • Open Access
2 Citations
3,529 Views
13 Pages

23 October 2023

In this paper, we propose a novel network, self-attention generative adversarial network with blur and memory (BaMSGAN), for generating anime faces with improved clarity and faster convergence while retaining the capacity for continuous learning. Tra...

  • Article
  • Open Access
11 Citations
4,845 Views
16 Pages

Cycle Generative Adversarial Network Based on Gradient Normalization for Infrared Image Generation

  • Xing Yi,
  • Hao Pan,
  • Huaici Zhao,
  • Pengfei Liu,
  • Canyu Zhang,
  • Junpeng Wang and
  • Hao Wang

3 January 2023

Image generation technology is currently one of the popular directions in computer vision research, especially regarding infrared imaging, bearing critical applications in the military field. Existing algorithms for generating infrared images from vi...

  • Article
  • Open Access
2 Citations
4,374 Views
16 Pages

CTGGAN: Controllable Text Generation with Generative Adversarial Network

  • Zhe Yang,
  • Yi Huang,
  • Yaqin Chen,
  • Xiaoting Wu,
  • Junlan Feng and
  • Chao Deng

8 April 2024

Controllable Text Generation (CTG) aims to modify the output of a Language Model (LM) to meet specific constraints. For example, in a customer service conversation, responses from the agent should ideally be soothing and address the user’s diss...

  • Article
  • Open Access
24 Citations
5,424 Views
19 Pages

MapGAN: An Intelligent Generation Model for Network Tile Maps

  • Jingtao Li,
  • Zhanlong Chen,
  • Xiaozhen Zhao and
  • Lijia Shao

31 May 2020

In recent years, the generative adversarial network (GAN)-based image translation model has achieved great success in image synthesis, image inpainting, image super-resolution, and other tasks. However, the images generated by these models often have...

  • Review
  • Open Access
18 Citations
7,959 Views
34 Pages

20 May 2024

The introduction of fifth-generation (5G) mobile networks leads to an increase in energy consumption and higher operational costs for mobile network operators (MNOs). Consequently, the optimization of 5G networks’ energy efficiency is crucial,...

  • Article
  • Open Access
9 Citations
5,309 Views
17 Pages

A Variational Autoencoder Cascade Generative Adversarial Network for Scalable 3D Object Generation and Reconstruction

  • Min-Su Yu,
  • Tae-Won Jung,
  • Dai-Yeol Yun,
  • Chi-Gon Hwang,
  • Sea-Young Park,
  • Soon-Chul Kwon and
  • Kye-Dong Jung

24 January 2024

Generative Adversarial Networks (GANs) for 3D volume generation and reconstruction, such as shape generation, visualization, automated design, real-time simulation, and research applications, are receiving increased amounts of attention in various fi...

  • Article
  • Open Access
2 Citations
4,547 Views
18 Pages

16 May 2024

A point cloud is a simple and concise 3D representation, but point cloud generation is a long-term challenging task in 3D vision. However, most existing methods only focus on their effectiveness of generation and auto-encoding separately. Furthermore...

  • Article
  • Open Access
29 Citations
19,652 Views
21 Pages

5 November 2010

The success of the Content Delivery Networks (CDN) in the recent years has demonstrated the increased benefits of the deployment of some form of “intelligence” within the network. Cloud computing, on the other hand, has shown the benefits of economie...

  • Article
  • Open Access
16 Citations
3,643 Views
13 Pages

AUE-Net: Automated Generation of Ultrasound Elastography Using Generative Adversarial Network

  • Qingjie Zhang,
  • Junjuan Zhao,
  • Xiangmeng Long,
  • Quanyong Luo,
  • Ren Wang,
  • Xuehai Ding and
  • Chentian Shen

Problem: Ultrasonography is recommended as the first choice for evaluation of thyroid nodules, however, conventional ultrasound features may not be able to adequately predict malignancy. Ultrasound elastography, adjunct to conventional B-mode ultraso...

  • Article
  • Open Access
1 Citations
1,805 Views
18 Pages

30 November 2023

Global photographic aesthetic image generation aims to ensure that images generated by generative adversarial networks (GANs) contain semantic information and have global aesthetic feelings. Existing image aesthetic generation algorithms are still in...

  • Article
  • Open Access
37 Citations
4,644 Views
17 Pages

11 September 2022

Accurate forecast results of medium and long-term wind power quantity can provide an important basis for power distribution plans, energy storage allocation plans and medium and long-term power generation plans after wind power integration. However,...

  • Article
  • Open Access
7 Citations
4,117 Views
13 Pages

Quadrilateral Mesh Generation Method Based on Convolutional Neural Network

  • Yuxiang Zhou,
  • Xiang Cai,
  • Qingfeng Zhao,
  • Zhoufang Xiao and
  • Gang Xu

The frame field distributed inside the model region characterizes the singular structure features inside the model. These singular structures can be used to decompose the model region into multiple quadrilateral structures, thereby generating a block...

  • Article
  • Open Access
1 Citations
2,719 Views
23 Pages

6 March 2025

Automatic page layout generation is a challenging and promising research task, which improves the design efficiency and quality of various documents, web pages, etc. However, the current generation of layouts that are both reasonable and aestheticall...

  • Article
  • Open Access
10 Citations
5,044 Views
15 Pages

3 February 2021

While Generative Adversarial Networks (GANs) have shown promising performance in image generation, they suffer from numerous issues such as mode collapse and training instability. To stabilize GAN training and improve image synthesis quality with div...

  • Article
  • Open Access
5 Citations
2,922 Views
11 Pages

14 March 2020

The processing of facial images is an important task, because it is required for a large number of real-world applications. As deep-learning models evolve, they require a huge number of images for training. In reality, however, the number of images a...

  • Article
  • Open Access
1 Citations
1,586 Views
18 Pages

20 December 2024

Aiming at the limitations of the traditional hyperbolic mesh generation method, specifically the limited types of boundary control strategy along the advancing direction and the inability to control the outer boundary, this paper employs physics-info...

  • Article
  • Open Access
10 Citations
4,835 Views
24 Pages

Presentation Attack Face Image Generation Based on a Deep Generative Adversarial Network

  • Dat Tien Nguyen,
  • Tuyen Danh Pham,
  • Ganbayar Batchuluun,
  • Kyoung Jun Noh and
  • Kang Ryoung Park

25 March 2020

Although face-based biometric recognition systems have been widely used in many applications, this type of recognition method is still vulnerable to presentation attacks, which use fake samples to deceive the recognition system. To overcome this prob...

  • Article
  • Open Access
7 Citations
5,340 Views
17 Pages

Automatic Chinese Font Generation System Reflecting Emotions Based on Generative Adversarial Network

  • Lu Chen,
  • Feifei Lee,
  • Hanqing Chen,
  • Wei Yao,
  • Jiawei Cai and
  • Qiu Chen

28 August 2020

Manual font design is difficult and requires professional knowledge and skills to perform. Therefore, how to automatically generate the required fonts is a very challenging research task. On the other hand, there are few people who have studied the r...

  • Article
  • Open Access
14 Citations
3,302 Views
17 Pages

Reliability of Active Distribution Network Considering Uncertainty of Distribution Generation and Load

  • Wentao Xu,
  • Siming Zeng,
  • Xiaodong Du,
  • Jianli Zhao,
  • Yuling He and
  • Xuewei Wu

An active distribution network is an important development trend of the power grid with widespread use of the distributed generation. The reliability of the active distribution network is not negligible due to the uninterruptible power supply. In the...

  • Article
  • Open Access
1 Citations
2,554 Views
18 Pages

Research on Automatic Generation of Park Road Network Based on Skeleton Algorithm

  • Shuo-Fang Liu,
  • Min Jiang,
  • Siran Bai,
  • Tianyuan Zhou and
  • Hua Liu

20 September 2024

This article primarily delves into the automatic generation approach of the park road network. The design of the park road network not only comprehensively takes into account environmental factors like terrain, vegetation, water bodies, and buildings...

  • Article
  • Open Access
1 Citations
7,415 Views
19 Pages

26 December 2022

Numerous old images and videos were captured and stored under unfavorable conditions. Hence, old images and videos have uncertain and different noise patterns compared with those of modern ones. Denoising old images is an effective technique for reco...

  • Article
  • Open Access
5 Citations
2,008 Views
18 Pages

An Arch-Bridge Topology-Based Expressway Network Structure and Automatic Generation

  • Qiqin Cai,
  • Dingrong Yi,
  • Fumin Zou,
  • Weihai Wang,
  • Guanghao Luo and
  • Xinjian Cai

17 April 2023

The rapid generation and automatic updating of road network topology information have immense practical significance and application value for intelligent expressways. Therefore, this work proposes a novel arch-bridge topology based on an electronic...

  • Article
  • Open Access
17 Citations
5,075 Views
16 Pages

RegGAN: An End-to-End Network for Building Footprint Generation with Boundary Regularization

  • Qingyu Li,
  • Stefano Zorzi,
  • Yilei Shi,
  • Friedrich Fraundorfer and
  • Xiao Xiang Zhu

11 April 2022

Accurate and reliable building footprint maps are of great interest in many applications, e.g., urban monitoring, 3D building modeling, and geographical database updating. When compared to traditional methods, the deep-learning-based semantic segment...

  • Article
  • Open Access
3 Citations
2,942 Views
21 Pages

Chinese calligraphy is a significant aspect of traditional culture, as it involves the art of writing Chinese characters. Despite the development of numerous deep learning models for generating calligraphy characters, the resulting outputs often suff...

  • Article
  • Open Access
2 Citations
2,650 Views
18 Pages

Low-Resource Generation Method for Few-Shot Dolphin Whistle Signal Based on Generative Adversarial Network

  • Huiyuan Wang,
  • Xiaojun Wu,
  • Zirui Wang,
  • Yukun Hao,
  • Chengpeng Hao,
  • Xinyi He and
  • Qiao Hu

Dolphin signals are effective carriers for underwater covert detection and communication. However, the environmental and cost constraints terribly limit the amount of data available in dolphin signal datasets are often limited. Meanwhile, due to the...

  • Article
  • Open Access
2 Citations
2,207 Views
19 Pages

16 November 2022

In the process of creating a prediction model using artificial intelligence by utilizing a deep neural network, it is of utmost significance to know the amount of insolation that has an absolute effect on the quantity of power generation of a solar c...

  • Article
  • Open Access
5 Citations
7,075 Views
20 Pages

11 May 2023

3D shape generation is widely applied in various industries to create, visualize, and analyse complex data, designs, and simulations. Typically, 3D shape generation uses a large dataset of 3D shapes as the input. This paper proposes a variational aut...

  • Article
  • Open Access
10 Citations
3,478 Views
19 Pages

15 June 2022

Super-Resolution (SR) techniques for image restoration have recently been gaining attention due to their excellent performance. For powerful learning abilities, Generative Adversarial Networks (GANs) have been proven to have achieved great success. I...

  • Article
  • Open Access
1 Citations
998 Views
14 Pages

26 June 2025

The acquisition of real-world sonar data necessitates substantial investments of manpower, material resources, and financial capital, rendering it challenging to obtain sufficient authentic samples for sonar-related research tasks. Consequently, sona...

  • Article
  • Open Access
4 Citations
1,881 Views
19 Pages

9 August 2023

In order to address a problem in the research related to the low stability and communication efficiency issues in the generation of optical communication constellation network topology, there is a critical component for sensing the interaction among...

  • Article
  • Open Access
424 Views
19 Pages

AgentRed: Towards an Agent-Based Approach to Automated Network Attack Traffic Generation

  • Koffi Anderson Koffi,
  • Kyle Lucke,
  • Elijah Danquah Darko,
  • Tollan Berhanu,
  • Robert Angelo Borrelli and
  • Constantinos Kolias

4 January 2026

Network security tools are indispensable in testing and evaluating the security of computer networks. Existing tools, such as Hping3, however, offer a limited set of options and attack-specific configurations, which restrict their use solely to well-...

  • Article
  • Open Access
1,366 Views
22 Pages

15 November 2024

In response to the shortcomings of current spatiotemporal prediction models, which frequently encounter difficulties in temporal feature extraction and the forecasting of medium to high echo intensity regions over extended sequences, this study prese...

  • Article
  • Open Access
1 Citations
1,664 Views
15 Pages

25 May 2024

Semantic generation of network access control policies can help network administrators accurately implement policies to achieve desired security objectives. Current semantic generation research mainly focuses on semantic generation of single grammar...

  • Article
  • Open Access
6 Citations
3,931 Views
15 Pages

Fundus Image Generation and Classification of Diabetic Retinopathy Based on Convolutional Neural Network

  • Peiming Zhang,
  • Jie Zhao,
  • Qiaohong Liu,
  • Xiao Liu,
  • Xinyu Li,
  • Yimeng Gao and
  • Weiqi Li

11 September 2024

To detect fundus diseases, for instance, diabetic retinopathy (DR) at an early stage, thereby providing timely intervention and treatment, a new diabetic retinopathy grading method based on a convolutional neural network is proposed. First, data clea...

  • Article
  • Open Access
2 Citations
2,681 Views
18 Pages

1 May 2021

Variability, intermittency, and limited controllability are inherent characteristics of photovoltaic (PV) generation that result in inaccurate solutions to scheduling problems and the instability of the power grid. As the penetration level of PV gene...

  • Article
  • Open Access
3 Citations
3,592 Views
14 Pages

3 December 2022

At present, static text passwords are still the most widely-used identity authentication method. Password-generation technology can generate large-scale password sets and then detect the defects in password-protection mechanisms, which is of great si...

  • Article
  • Open Access
12 Citations
2,353 Views
19 Pages

Bacterial Foraging Algorithm for a Neural Network Learning Improvement in an Automatic Generation Controller

  • Sadeq D. Al-Majidi,
  • Hisham Dawood Salman Altai,
  • Mohammed H. Lazim,
  • Mohammed Kh. Al-Nussairi,
  • Maysam F. Abbod and
  • Hamed S. Al-Raweshidy

17 March 2023

The frequency diversion in hybrid power systems is a major challenge due to the unpredictable power generation of renewable energies. An automatic generation controller (AGC) system is utilised in a hybrid power system to correct the frequency when t...

  • Review
  • Open Access
15 Citations
6,360 Views
22 Pages

Key Technologies for a Beyond-100G Next-Generation Passive Optical Network

  • Nan Feng,
  • Mingyi Ma,
  • Yinsong Zhang,
  • Xiaochuan Tan,
  • Zhe Li and
  • Shaobo Li

8 October 2023

The explosive development of emerging telecommunication services has stimulated a huge growth in bandwidth demand as people seek universal access to telecommunication networks. In addition, the kinds of services of an existing optical access network...

  • Article
  • Open Access
849 Views
20 Pages

LarGAN: A Label Auto-Rescaling Generation Adversarial Network for Rare Surface Defects

  • Guan Qin,
  • Hanxin Zhang,
  • Ke Xu,
  • Liaoting Pan,
  • Lei Huang,
  • Xuezhong Huang and
  • Yi Wei

8 May 2025

Insufficient defect data significantly limits detection accuracy in continuous casting slab production. This limitation arises from the data collection in fast-paced production environments. To address this issue, we propose LarGAN, a data augmentati...

  • Article
  • Open Access
13 Citations
4,776 Views
21 Pages

AFD-StackGAN: Automatic Mask Generation Network for Face De-Occlusion Using StackGAN

  • Abdul Jabbar,
  • Xi Li,
  • Muhammad Assam,
  • Javed Ali Khan,
  • Marwa Obayya,
  • Mimouna Abdullah Alkhonaini,
  • Fahd N. Al-Wesabi and
  • Muhammad Assad

23 February 2022

To address the problem of automatically detecting and removing the mask without user interaction, we present a GAN-based automatic approach for face de-occlusion, called Automatic Mask Generation Network for Face De-occlusion Using Stacked Generative...

  • Article
  • Open Access
2 Citations
3,982 Views
12 Pages

Zernike Coefficient Prediction Technique for Interference Based on Generation Adversarial Network

  • Allen Jong-Woei Whang,
  • Yi-Yung Chen,
  • Tsai-Hsien Yang,
  • Cheng-Tse Lin,
  • Zhi-Jia Jian and
  • Chun-Han Chou

28 July 2021

In the paper, we propose a novel prediction technique to predict Zernike coefficients from interference fringes based on Generative Adversarial Network (GAN). In general, the task of GAN is image-to-image translation, but we design GAN for image-to-n...

  • Article
  • Open Access
13 Citations
4,240 Views
20 Pages

19 February 2019

Thanks to the availability of large-scale data, deep Convolutional Neural Networks (CNNs) have witnessed success in various applications of computer vision. However, the performance of CNNs on Synthetic Aperture Radar (SAR) image classification is un...

  • Article
  • Open Access
5 Citations
3,217 Views
16 Pages

An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation

  • Zhe Li,
  • Mieradilijiang Maimaiti,
  • Jiabao Sheng,
  • Zunwang Ke,
  • Wushour Silamu,
  • Qinyong Wang and
  • Xiuhong Li

23 October 2020

The task of dialogue generation has attracted increasing attention due to its diverse downstream applications, such as question-answering systems and chatbots. Recently, the deep neural network (DNN)-based dialogue generation models have achieved sup...

  • Article
  • Open Access
33 Citations
4,733 Views
16 Pages

3 December 2020

Planning is a crucial component of short- and long-term municipal waste management. Establishing the relationships between the factors that determine the amount of waste generated by municipalities and forecasting the waste management needs plays a f...

  • Article
  • Open Access
2 Citations
1,308 Views
21 Pages

5 October 2024

Synthetic aperture radar tomography (TomoSAR) has gained significant attention for three-dimensional (3D) imaging in urban environments. A notable limitation of traditional TomoSAR approaches is their primary focus on persistent scatterers (PSs), dis...

  • Article
  • Open Access
4 Citations
2,475 Views
23 Pages

Regional Time-Series Coding Network and Multi-View Image Generation Network for Short-Time Gait Recognition

  • Wenhao Sun,
  • Guangda Lu,
  • Zhuangzhuang Zhao,
  • Tinghang Guo,
  • Zhuanping Qin and
  • Yu Han

23 May 2023

Gait recognition is one of the important research directions of biometric authentication technology. However, in practical applications, the original gait data is often short, and a long and complete gait video is required for successful recognition....

  • Article
  • Open Access
11 Citations
2,816 Views
17 Pages

9 December 2022

The cross section is the basic data for building 3D geological models. It is inefficient to draw a large number of cross sections to build an accurate model. This paper reports the use of multi-source and heterogeneous geological data, such as geolog...

  • Article
  • Open Access
4 Citations
3,063 Views
15 Pages

Generation of Synthetic Rat Brain MRI Scans with a 3D Enhanced Alpha Generative Adversarial Network

  • André Ferreira,
  • Ricardo Magalhães,
  • Sébastien Mériaux and
  • Victor Alves

11 May 2022

Translational brain research using Magnetic Resonance Imaging (MRI) is becoming increasingly popular as animal models are an essential part of scientific studies and more ultra-high-field scanners are becoming available. Some disadvantages of MRI are...

  • Article
  • Open Access
46 Citations
5,284 Views
20 Pages

19 February 2021

A competent methodology based on the active power loss reduction for optimal placement and sizing of distributed generators (DGs) in an active distribution network (ADN) with several soft open points (SOPs) is proposed. A series of SOP combinations a...

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