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6,210 Results Found

  • Article
  • Open Access
13 Citations
4,065 Views
21 Pages

Advancing the Social Internet of Things (SIoT): Challenges, Innovations, and Future Perspectives

  • Mehdi Hosseinzadeh,
  • Venus Mohammadi,
  • Jan Lansky and
  • Vladimir Nulicek

28 February 2024

This study conducts an in-depth review of the Social Internet of Things (SIoT), a significant advancement from the conventional Internet of Things (IoT) via the integration of socialization principles akin to human interactions. We explore the archit...

  • Article
  • Open Access
33 Citations
5,276 Views
18 Pages

Exploiting Small World Problems in a SIoT Environment

  • Rehman Abdul,
  • Anand Paul,
  • Junaid Gul M.,
  • Won-Hwa Hong and
  • Hyuncheol Seo

10 August 2018

Internet of Things (IoT) has been at the center of attention among researchers for the last two decades. Their aim was to convert each real-world object into a virtual object. Recently, a new idea of integrating the Social Networking concept into the...

  • Perspective
  • Open Access
13 Citations
8,023 Views
30 Pages

SIOS’s Earth Observation (EO), Remote Sensing (RS), and Operational Activities in Response to COVID-19

  • Shridhar D. Jawak,
  • Bo N. Andersen,
  • Veijo A. Pohjola,
  • Øystein Godøy,
  • Christiane Hübner,
  • Inger Jennings,
  • Dariusz Ignatiuk,
  • Kim Holmén,
  • Agnar Sivertsen and
  • Heikki Lihavainen
  • + 22 authors

15 February 2021

Svalbard Integrated Arctic Earth Observing System (SIOS) is an international partnership of research institutions studying the environment and climate in and around Svalbard. SIOS is developing an efficient observing system, where researchers share t...

  • Article
  • Open Access
22 Citations
6,082 Views
33 Pages

Blockchain-Based Trust and Reputation Management in SIoT

  • Sana Alam,
  • Shehnila Zardari and
  • Jawwad Ahmed Shamsi

23 November 2022

In the Social Internet of Things (SIoT), trust refers to the decision-making process used by the trustor (Service Requesters (SRs) or Service Consumers (SCs)) to decide whether or not to entrust the trustee (Service Providers (SPs)) with specific ser...

  • Article
  • Open Access
21 Citations
7,659 Views
10 Pages

24 February 2017

In this work, SiO2/ZnO composite hollow sub-micron fibers were fabricated by a facile single capillary electrospinning technique followed by calcination, using tetraethyl orthosilicate (TEOS), polyvinylpyrrolidone (PVP) and ZnO nanoparticles as raw m...

  • Article
  • Open Access
20 Citations
4,668 Views
23 Pages

SIoT: A New Strategy to Improve the Network Lifetime with an Efficient Search Process

  • Abderrahim Zannou,
  • Abdelhak Boulaalam and
  • El Habib Nfaoui

29 December 2020

The Social Internet of Things (SIoT) means that every node can use a set of nodes that are considered as friends to search for a specific service. However, this is a slow process because each node is required to manage a high number of friends. Thus,...

  • Review
  • Open Access
45 Citations
12,769 Views
42 Pages

22 April 2015

Optical and structural properties of Si nanocrystals (Si-nc) in silica films are described. For the SiOx (x < 2) films annealed above 1000 °C, the Raman signal of Si-nc and the absorption coefficient are proportional to the amount of elemental Si...

  • Article
  • Open Access
36 Citations
5,989 Views
10 Pages

There is increasing concern regarding soils contaminated with polycyclic aromatic hydrocarbons (PAHs). In the present study, the remediation of soil spiked with PAHs was explored by the combination of soil washing with sodium dodecyl sulfate (SDS) an...

  • Article
  • Open Access
12 Citations
2,817 Views
6 Pages

1 September 2019

The poor durability and complex production process are two tough challenges for the practical application of superhydrophobic wood. In this work, high-mechanical-resistance superhydrophobic wood was fabricated by a one-step hydrothermal vacuum dippin...

  • Article
  • Open Access
16 Citations
3,051 Views
17 Pages

17 February 2023

The Social Internet of Things (SIoT) ecosystem tends to process and analyze extensive data generated by users from both social networks and Internet of Things (IoT) systems and derives knowledge and diagnoses from all connected objects. To overcome m...

  • Article
  • Open Access
2 Citations
919 Views
26 Pages

4 April 2025

The incorporation of human-like social concepts into the Internet of Things (IoT) has given rise to the paradigm of Social IoT (SIoT). In these networks, objects autonomously form social relationships to enhance network scalability in information and...

  • Article
  • Open Access
4 Citations
2,624 Views
20 Pages

Charging stations and electric vehicle (EV) charging networks signify a significant advancement in technology as a frontier application of the Social Internet of Things (SIoT), presenting both challenges and opportunities for current 6G wireless netw...

  • Article
  • Open Access
391 Views
42 Pages

Socially Grounded IoT Protocol for Reliable Computer Vision in Industrial Applications

  • Gokulnath Chidambaram,
  • Shreyanka Subbarayappa and
  • Sai Baba Magapu

27 January 2026

The Social Internet of Things (SIoT) enables collaborative service provisioning among interconnected devices by leveraging socially inspired trust relationships. This paper proposes a socially driven SIoT protocol for trust-aware service selection, e...

  • Article
  • Open Access
8 Citations
4,513 Views
23 Pages

Service Oriented R-ANN Knowledge Model for Social Internet of Things

  • Mohana S. D.,
  • S. P. Shiva Prakash and
  • Kirill Krinkin

Increase in technologies around the world requires adding intelligence to the objects, and making it a smart object in an environment leads to the Social Internet of Things (SIoT). These social objects are uniquely identifiable, transferable and shar...

  • Article
  • Open Access
6 Citations
9,922 Views
8 Pages

8 January 2009

Self- and cross-metathesis of fatty acid methyl esters (FAMEs) was investigated using a silica alumina supported Re2O7 catalyst. Although a 3 wt% Re2O7/SiO2-Al2O3/SnBu4 is already active for the metathesis of unsaturated FAMEs, the results have shown...

  • Article
  • Open Access
42 Citations
7,525 Views
28 Pages

8 April 2020

Despite advancements in the Internet of Things (IoT) and social networks, developing an intelligent service discovery and composition framework in the Social IoT (SIoT) domain remains a challenge. In the IoT, a large number of things are connected to...

  • Article
  • Open Access
7 Citations
2,970 Views
26 Pages

Honesty-Based Social Technique to Enhance Cooperation in Social Internet of Things

  • Shad Muhammad,
  • Muhammad Muneer Umar,
  • Shafiullah Khan,
  • Nabil A. Alrajeh and
  • Emad A. Mohammed

21 February 2023

The Social Internet of Things (SIoT) can be seen as integrating the social networking concept into the Internet of Things (IoT). Such networks enable different devices to form social relationships among themselves depending on pre-programmed rules an...

  • Article
  • Open Access
113 Citations
9,577 Views
18 Pages

The efficient identification of rice pests and diseases is crucial for preventing crop damage. To address the limitations of traditional manual detection methods and machine learning-based approaches, a new rice pest and disease recognition model bas...

  • Article
  • Open Access
40 Citations
4,192 Views
14 Pages

Improved Algorithm for Insulator and Its Defect Detection Based on YOLOX

  • Gujing Han,
  • Tao Li,
  • Qiang Li,
  • Feng Zhao,
  • Min Zhang,
  • Ruijie Wang,
  • Qiwei Yuan,
  • Kaipei Liu and
  • Liang Qin

18 August 2022

Aerial insulator defect images have some features. For instance, the complex background and small target of defects would make it difficult to detect insulator defects quickly and accurately. To solve the problem of low accuracy of insulator defect d...

  • Article
  • Open Access
2 Citations
1,666 Views
14 Pages

Interspectral Error Tracking and Compensation of DSDT in Satellite Internet of Things

  • Chen Wang,
  • Lin Zheng,
  • Gang Wang,
  • Zhiwei Liu and
  • Chao Yang

With the rapid growth of satellite Internet of Things (SIoT) services, existing frequency band resources are insufficient to meet future business demands. To effectively address this issue, it is necessary to enhance the utilization of existing frequ...

  • Article
  • Open Access
5 Citations
2,404 Views
20 Pages

PAL-YOLOv8: A Lightweight Algorithm for Insulator Defect Detection

  • Du Zhang,
  • Kerang Cao,
  • Kai Han,
  • Changsu Kim and
  • Hoekyung Jung

3 September 2024

To address the challenges of high model complexity and low accuracy in detecting small targets in insulator defect detection using UAV aerial imagery, we propose a lightweight algorithm, PAL-YOLOv8. Firstly, the baseline model, YOLOv8n, is enhanced b...

  • Article
  • Open Access
17 Citations
4,844 Views
22 Pages

Fire Detection in Ship Engine Rooms Based on Deep Learning

  • Jinting Zhu,
  • Jundong Zhang,
  • Yongkang Wang,
  • Yuequn Ge,
  • Ziwei Zhang and
  • Shihan Zhang

20 July 2023

Ship fires are one of the main factors that endanger the safety of ships; because the ship is far away from land, the fire can be difficult to extinguish and could often cause huge losses. The engine room has many pieces of equipment and is the princ...

  • Article
  • Open Access
15 Citations
2,822 Views
15 Pages

An Improved Lightweight Dense Pedestrian Detection Algorithm

  • Mingjing Li,
  • Shuang Chen,
  • Cong Sun,
  • Shu Fang,
  • Jinye Han,
  • Xiaoli Wang and
  • Haijiao Yun

28 July 2023

Due to the limited memory and computing resources in the real application of target detection, the method is challenging to implement on mobile and embedded devices. In order to achieve the balance between detection accuracy and speed in pedestrian-i...

  • Article
  • Open Access
17 Citations
3,105 Views
16 Pages

22 June 2022

It is extremely critical for an emergency response to quickly and accurately use source term estimation (STE) in the event of hazardous gas leakage. To determine the appropriate algorithm, four swarm intelligence optimization (SIO) algorithms includi...

  • Article
  • Open Access
22 Citations
5,966 Views
19 Pages

5 August 2024

To address the issues of decreased detection accuracy, false detections, and missed detections caused by scale differences between near and distant targets and environmental factors (such as lighting and water waves) in surface target detection tasks...

  • Article
  • Open Access
38 Citations
5,937 Views
18 Pages

Lightweight Helmet Detection Algorithm Using an Improved YOLOv4

  • Junhua Chen,
  • Sihao Deng,
  • Ping Wang,
  • Xueda Huang and
  • Yanfei Liu

21 January 2023

Safety helmet wearing plays a major role in protecting the safety of workers in industry and construction, so a real-time helmet wearing detection technology is very necessary. This paper proposes an improved YOLOv4 algorithm to achieve real-time and...

  • Article
  • Open Access
3 Citations
1,974 Views
21 Pages

Lightweight UAV Detection Method Based on IASL-YOLO

  • Huaiyu Yang,
  • Bo Liang,
  • Song Feng,
  • Ji Jiang,
  • Ao Fang and
  • Chunyun Li

23 April 2025

The widespread application of drone technology has raised security concerns, as unauthorized drones can lead to illegal intrusions and privacy breaches. Traditional detection methods often fall short in balancing performance and lightweight design, m...

  • Article
  • Open Access
131 Citations
13,239 Views
23 Pages

Insulator-Defect Detection Algorithm Based on Improved YOLOv7

  • Jianfeng Zheng,
  • Hang Wu,
  • Han Zhang,
  • Zhaoqi Wang and
  • Weiyue Xu

14 November 2022

Existing detection methods face a huge challenge in identifying insulators with minor defects when targeting transmission line images with complex backgrounds. To ensure the safe operation of transmission lines, an improved YOLOv7 model is proposed t...

  • Article
  • Open Access
2 Citations
2,108 Views
16 Pages

18 December 2024

In the medical field, blood analysis is a key method used to evaluate the health status of the human body. The types and number of blood cells serve as important criteria for doctors to diagnose and treat diseases. In view of the problems regarding d...

  • Article
  • Open Access
7 Citations
2,346 Views
20 Pages

Automatic and Efficient Detection of Loess Landslides Based on Deep Learning

  • Qingyun Ji,
  • Yuan Liang,
  • Fanglin Xie,
  • Zhengbo Yu and
  • Yanli Wang

1 February 2024

Frequent landslide disasters on the Loess Plateau in northwestern China have had a serious impact on the lives and production of the people in the region due to the fragile ecological environment and severe soil erosion. The effective monitoring and...

  • Article
  • Open Access
8 Citations
1,705 Views
18 Pages

A Lightweight Detection Algorithm for Surface Defects in Small-Sized Bearings

  • Yuanyuan Wang,
  • Zhaoyu Song,
  • Hauwa Suleiman Abdullahi,
  • Shangbing Gao,
  • Haiyan Zhang,
  • Liguo Zhou and
  • Yazhou Li

Background: To address issues in current deep learning models for detecting defects on industrial bearing surfaces, such as large parameter sizes and low precision in identifying small defects, we propose a lightweight detection algorithm for small-s...

  • Article
  • Open Access
41 Citations
7,563 Views
27 Pages

3 January 2023

Aerial remote sensing image object detection, based on deep learning, is of great significance in geological resource exploration, urban traffic management, and military strategic information. To improve intractable problems in aerial remote sensing...

  • Article
  • Open Access
1 Citations
933 Views
15 Pages

HSS-YOLO Lightweight Object Detection Model for Intelligent Inspection Robots in Power Distribution Rooms

  • Liang Li,
  • Yangfei He,
  • Yingying Wei,
  • Hucheng Pu,
  • Xiangge He,
  • Chunlei Li and
  • Weiliang Zhang

8 August 2025

Currently, YOLO-based object detection is widely employed in intelligent inspection robots. However, under interference factors present in dimly lit substation environments, YOLO exhibits issues such as excessively low accuracy, missed detections, an...

  • Article
  • Open Access
31 Citations
6,899 Views
12 Pages

Traffic Sign Detection Based on the Improved YOLOv5

  • Rongyun Zhang,
  • Kunming Zheng,
  • Peicheng Shi,
  • Ye Mei,
  • Haoran Li and
  • Tian Qiu

29 August 2023

With the advancement of intelligent driving technology, researchers are paying more and more attention to the identification of traffic signs. Although a detection method of traffic signs based on color or shape can achieve recognition of large categ...

  • Article
  • Open Access
5 Citations
3,973 Views
17 Pages

Research on the Agricultural Pest Identification Mechanism Based on an Intelligent Algorithm

  • Qixun Xiao,
  • Wenying Zheng,
  • Yifan He,
  • Zijie Chen,
  • Fanxin Meng and
  • Liyan Wu

26 September 2023

The use of Internet of Things (IoT) technology for real-time monitoring of agricultural pests is an unavoidable trend in the future of intelligent agriculture. This paper aims to address the difficulties in deploying models at the edge of the pest mo...

  • Article
  • Open Access
20 Citations
4,602 Views
22 Pages

Accurate ship object detection ensures navigation safety and effective maritime traffic management. Existing ship target detection models often have the problem of missed detection in complex marine environments, and it is hard to achieve high accura...

  • Article
  • Open Access
11 Citations
2,527 Views
15 Pages

Quality Detection and Grading of Rose Tea Based on a Lightweight Model

  • Zezhong Ding,
  • Zhiwei Chen,
  • Zhiyong Gui,
  • Mengqi Guo,
  • Xuesong Zhu,
  • Bin Hu and
  • Chunwang Dong

12 April 2024

Rose tea is a type of flower tea in China’s reprocessed tea category, which is divided into seven grades, including super flower, primary flower, flower bud, flower heart, yellow flower, scattered flower, and waste flower. Grading rose tea into...

  • Article
  • Open Access
5 Citations
3,005 Views
21 Pages

Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning

  • Zejun Wang,
  • Yuxin Xia,
  • Houqiao Wang,
  • Xiaohui Liu,
  • Raoqiong Che,
  • Xiaoxue Guo,
  • Hongxu Li,
  • Shihao Zhang and
  • Baijuan Wang

To facilitate the realization of automated tea picking and enhance the speed and accuracy of tea leaf grading detection, this study proposes an improved YOLOv8 network for fresh tea leaf grading recognition. This approach integrates a Hierarchical Vi...

  • Article
  • Open Access
28 Citations
4,958 Views
15 Pages

20 June 2023

As the operational time of the railway increases, rail surfaces undergo irreversible defects. Once the defects occur, it is easy for them to develop rapidly, which seriously threatens the safe operation of trains. Therefore, the accurate and rapid de...

  • Article
  • Open Access
20 Citations
3,883 Views
20 Pages

A Lightweight Human Fall Detection Network

  • Xi Kan,
  • Shenghao Zhu,
  • Yonghong Zhang and
  • Chengshan Qian

9 November 2023

The rising issue of an aging population has intensified the focus on the health concerns of the elderly. Among these concerns, falls have emerged as a predominant health threat for this demographic. The YOLOv5 family represents the forefront of techn...

  • Article
  • Open Access
9 Citations
3,922 Views
33 Pages

ATS-YOLOv7: A Real-Time Multi-Scale Object Detection Method for UAV Aerial Images Based on Improved YOLOv7

  • Heng Zhang,
  • Faming Shao,
  • Xiaohui He,
  • Weijun Chu,
  • Dewei Zhao,
  • Zihan Zhang and
  • Shaohua Bi

4 December 2023

The objects in UAV aerial images have multiple scales, dense distribution, and occlusion, posing considerable challenges for object detection. In order to address this problem, this paper proposes a real-time multi-scale object detection method based...

  • Article
  • Open Access
10 Citations
2,781 Views
21 Pages

Microscopic Insect Pest Detection in Tea Plantations: Improved YOLOv8 Model Based on Deep Learning

  • Zejun Wang,
  • Shihao Zhang,
  • Lijiao Chen,
  • Wendou Wu,
  • Houqiao Wang,
  • Xiaohui Liu,
  • Zongpei Fan and
  • Baijuan Wang

2 October 2024

Pest infestations in tea gardens are one of the common issues encountered during tea cultivation. This study introduces an improved YOLOv8 network model for the detection of tea pests to facilitate the rapid and accurate identification of early-stage...

  • Article
  • Open Access
10 Citations
1,839 Views
21 Pages

Improved You Only Look Once v.8 Model Based on Deep Learning: Precision Detection and Recognition of Fresh Leaves from Yunnan Large-Leaf Tea Tree

  • Chun Wang,
  • Hongxu Li,
  • Xiujuan Deng,
  • Ying Liu,
  • Tianyu Wu,
  • Weihao Liu,
  • Rui Xiao,
  • Zuzhen Wang and
  • Baijuan Wang

18 December 2024

Yunnan Province, China, known for its superior ecological environment and diverse climate conditions, is home to a rich resource of tea-plant varieties. However, the subtle differences in shape, color and size among the fresh leaves of different tea-...

  • Article
  • Open Access
2 Citations
1,546 Views
22 Pages

11 March 2025

The accurate detection of coal gangue is an important prerequisite for the intelligent sorting of coal gangue. Aiming at existing coal gangue detection methods, which have problems such as low detection accuracy and complex model structure, a multi-s...

  • Article
  • Open Access
10 Citations
3,630 Views
18 Pages

Lane Line Type Recognition Based on Improved YOLOv5

  • Boyu Liu,
  • Hao Wang,
  • Yongqiang Wang,
  • Congling Zhou and
  • Lei Cai

21 September 2023

The recognition of lane line type plays an important role in the perception of advanced driver assistance systems (ADAS). In actual vehicle driving on roads, there are a variety of lane line type and complex road conditions which present significant...

  • Article
  • Open Access
48 Citations
4,799 Views
23 Pages

LMDFS: A Lightweight Model for Detecting Forest Fire Smoke in UAV Images Based on YOLOv7

  • Gong Chen,
  • Renxi Cheng,
  • Xufeng Lin,
  • Wanguo Jiao,
  • Di Bai and
  • Haifeng Lin

30 July 2023

Forest fires pose significant hazards to ecological environments and economic society. The detection of forest fire smoke can provide crucial information for the suppression of early fires. Previous detection models based on deep learning have been l...

  • Article
  • Open Access
33 Citations
6,171 Views
20 Pages

Detection of River Floating Garbage Based on Improved YOLOv5

  • Xingshuai Yang,
  • Jingyi Zhao,
  • Li Zhao,
  • Haiyang Zhang,
  • Li Li,
  • Zhanlin Ji and
  • Ivan Ganchev

20 November 2022

The random dumping of garbage in rivers has led to the continuous deterioration of water quality and affected people’s living environment. The accuracy of detection of garbage floating in rivers is greatly affected by factors such as floating s...

  • Article
  • Open Access
1,626 Views
25 Pages

DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum

  • Kun Jiang,
  • Kexiao Peng,
  • Yuan Feng,
  • Xia Guo and
  • Zuping Tang

5 July 2025

With the rapid development of wireless communication technologies and the increasing demand for efficient spectrum utilization, broadband spectrum sensing has become critical in both civilian and military fields. Detecting narrowband signals under br...

  • Article
  • Open Access
42 Citations
4,762 Views
15 Pages

12 December 2022

Intense, large-scale forest fires are damaging and very challenging to control. Locations, where various types of fire behavior occur, vary depending on environmental factors. According to the burning site of forest fires and the degree of damage, th...

  • Article
  • Open Access
59 Views
24 Pages

Multi-Scenario Recognition and Detection Model in National Parks Based on Improved YOLOv8

  • Xiongwei Lou,
  • Zixuan Qin,
  • Hanbao Lou,
  • Xinyu Zheng,
  • Linhao Sun,
  • Faneng Wang,
  • Dasheng Wu,
  • Sheng Chen and
  • Guangyu Jiang

19 February 2026

With the advancement of unmanned aerial vehicle (UAV) technology, its use in ecological monitoring and safety management of national parks has expanded significantly. However, object detection in complex scenes remains challenging due to environmenta...

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