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461 Results Found

  • Article
  • Open Access
8 Citations
2,231 Views
19 Pages

21 September 2023

Computation-intensive applications offloading is challenging, especially in the designated regions where communication infrastructure is absent or compromised. In this paper, we present a Space–Air–Ground integrated Mobile Edge Computing...

  • Article
  • Open Access
8 Citations
2,421 Views
21 Pages

YOLOv11-RDTNet: A Lightweight Model for Citrus Pest and Disease Identification Based on an Improved YOLOv11n

  • Qiufang Dai,
  • Shiyao Liang,
  • Zhen Li,
  • Shilei Lyu,
  • Xiuyun Xue,
  • Shuran Song,
  • Ying Huang,
  • Shaoyu Zhang and
  • Jiaheng Fu

21 May 2025

Citrus pests and diseases severely impact fruit yield and quality. However, existing object detection models face limitations in complex backgrounds, target occlusion, and small target recognition, and they struggle to be efficiently deployed on reso...

  • Article
  • Open Access
12 Citations
7,794 Views
16 Pages

2 July 2023

Chickpeas are one of the most widely consumed pulses globally because of their high protein content. The morphological features of chickpea seeds, such as colour and texture, are observable and play a major role in classifying different chickpea vari...

  • Article
  • Open Access
5 Citations
2,102 Views
28 Pages

A Multimodal Parallel Transformer Framework for Apple Disease Detection and Severity Classification with Lightweight Optimization

  • Chuhuang Zhou,
  • Xinjin Ge,
  • Yihe Chang,
  • Mingfei Wang,
  • Zhongtian Shi,
  • Mengxue Ji,
  • Tianxing Wu and
  • Chunli Lv

21 May 2025

One of the world’s most important economic crops, apples face numerous disease threats during their production process, posing significant challenges to orchard management and yield quality. To address the impact of complex disease characterist...

  • Article
  • Open Access
6 Citations
4,045 Views
19 Pages

Regular inspection of urban drainage pipes can effectively maintain the reliable operation of the drainage system and the production safety of residents. Aiming at the shortcomings of the CCTV inspection method used in the drainage pipe defect detect...

  • Article
  • Open Access
8 Citations
2,585 Views
21 Pages

High-Performance Grape Disease Detection Method Using Multimodal Data and Parallel Activation Functions

  • Ruiheng Li,
  • Jiarui Liu,
  • Binqin Shi,
  • Hanyi Zhao,
  • Yan Li,
  • Xinran Zheng,
  • Chao Peng and
  • Chunli Lv

28 September 2024

This paper introduces a novel deep learning model for grape disease detection that integrates multimodal data and parallel heterogeneous activation functions, significantly enhancing detection accuracy and robustness. Through experiments, the model d...

  • Article
  • Open Access
6 Citations
4,669 Views
18 Pages

Smart Collection of Real-Time Vehicular Mobility Traces

  • Nisrine Ibadah,
  • Khalid Minaoui,
  • Mohammed Rziza,
  • Mohammed Oumsis and
  • César Benavente-Peces

Mobility trace techniques makes possible drawing the behaviors of real-life movement which shape wireless networks mobility whereabouts. In our investigation, several trace mobility models have been collected after the devices’ deployment. The...

  • Article
  • Open Access
1 Citations
1,905 Views
18 Pages

Joint UAV Deployment and Task Offloading in Large-Scale UAV-Assisted MEC: A Multiobjective Evolutionary Algorithm

  • Qijie Qiu,
  • Lingjie Li,
  • Zhijiao Xiao,
  • Yuhong Feng,
  • Qiuzhen Lin and
  • Zhong Ming

25 June 2024

With the development of digital economy technologies, mobile edge computing (MEC) has emerged as a promising computing paradigm that provides mobile devices with closer edge computing resources. Because of high mobility, unmanned aerial vehicles (UAV...

  • Article
  • Open Access
2 Citations
1,409 Views
25 Pages

25 November 2024

As the number of intelligent devices in mining environments increases, the transmission time for large datasets, including equipment status and environmental parameters, also rises. This increase leads to longer response times for service requests, m...

  • Article
  • Open Access
12 Citations
4,710 Views
19 Pages

A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices

  • Rafael Pérez-Torres,
  • César Torres-Huitzil and
  • Hiram Galeana-Zapién

18 February 2019

Mobile Edge Computing (MEC) relates to the deployment of decision-making processes at the network edge or mobile devices rather than in a centralized network entity like the cloud. This paradigm shift is acknowledged as one key pillar to enable auton...

  • Review
  • Open Access
21 Citations
10,850 Views
23 Pages

Mobile Self-Monitoring ECG Devices to Diagnose Arrhythmia that Coincide with Palpitations: A Scoping Review

  • Hannah Ramsden Marston,
  • Robin Hadley,
  • Duncan Banks and
  • María Del Carmen Miranda Duro

The use and deployment of mobile devices across society is phenomenal with an increasing number of individuals using mobile devices to track their everyday health. However, there is a paucity of academic material examining this recent trend. Specific...

  • Article
  • Open Access
12 Citations
5,475 Views
23 Pages

Enabling Intelligence on the Edge: Leveraging Edge Impulse to Deploy Multiple Deep Learning Models on Edge Devices for Tomato Leaf Disease Detection

  • Dennis Agyemanh Nana Gookyi,
  • Fortunatus Aabangbio Wulnye,
  • Michael Wilson,
  • Paul Danquah,
  • Samuel Akwasi Danso and
  • Awudu Amadu Gariba

29 September 2024

Tomato diseases, including Leaf blight, Leaf curl, Septoria leaf spot, and Verticillium wilt, are responsible for up to 50% of annual yield loss, significantly impacting global tomato production, valued at approximately USD 87 billion. In Ghana, ther...

  • Article
  • Open Access
27 Citations
3,790 Views
17 Pages

Traffic Monitoring via Mobile Device Location

  • Juan Martín,
  • Emil J. Khatib,
  • Pedro Lázaro and
  • Raquel Barco

17 October 2019

Measuring traffic in real time is one of the main functionalities of Smart Cities. To reduce the costs of deployment and operation, traffic measurement with mobile devices has been widely studied. In this paper, a traffic monitoring system using mobi...

  • Article
  • Open Access
15 Citations
3,777 Views
20 Pages

Edge-Compatible Deep Learning Models for Detection of Pest Outbreaks in Viticulture

  • João Gonçalves,
  • Eduardo Silva,
  • Pedro Faria,
  • Telmo Nogueira,
  • Ana Ferreira,
  • Cristina Carlos and
  • Luís Rosado

2 December 2022

The direct effect of global warming on viticulture is already apparent, with unexpected pests and diseases as one of the most concerning consequences. Deploying sticky traps on grape plantations to attract key insects has been the backbone of convent...

  • Article
  • Open Access
5 Citations
2,358 Views
18 Pages

24 March 2022

With the rapid growth in the penetration rate of mobile devices and the surge in demand for mobile data services, small cells and mobile backhaul networks have become the critical focus of next-generation mobile network development. Backhaul requirem...

  • Article
  • Open Access
16 Citations
3,820 Views
18 Pages

30 December 2021

As the rapid growth of mobile users and Internet-of-Everything devices will continue in the upcoming decade, more and more network capacity will be needed to accommodate such a constant increase in data volumes (DVs). To satisfy such a vast DV increa...

  • Article
  • Open Access
7 Citations
3,522 Views
20 Pages

20 October 2022

With the development of ubiquitous mobile devices, biometrics authentication has received much attention from researchers. For immersive experiences in AR (augmented reality), convenient continuous biometric authentication technologies are required t...

  • Article
  • Open Access
6 Citations
5,170 Views
19 Pages

The complexity and constant changes in mobile forensics require special training of investigators with datasets that are as realistic as possible. Even today, the generation of training data is almost exclusively done manually. This paper presents a...

  • Review
  • Open Access
42 Citations
12,133 Views
46 Pages

Mobile Edge Computing in Space-Air-Ground Integrated Networks: Architectures, Key Technologies and Challenges

  • Yuan Qiu,
  • Jianwei Niu,
  • Xinzhong Zhu,
  • Kuntuo Zhu,
  • Yiming Yao,
  • Beibei Ren and
  • Tao Ren

Space-air-ground integrated networks (SAGIN) provide seamless global coverage and cross-domain interconnection for the ubiquitous users in heterogeneous networks, which greatly promote the rapid development of intelligent mobile devices and applicati...

  • Article
  • Open Access
8 Citations
5,218 Views
21 Pages

14 September 2016

Using mobile robots or unmanned vehicles to assist optimal wireless sensors deployment in a working space can significantly enhance the capability to investigate unknown environments. This paper addresses the issues of the application of numerical op...

  • Article
  • Open Access
2 Citations
2,508 Views
23 Pages

Empowering Accessibility: BLE Beacon-Based IoT Localization

  • Patryk Pyt,
  • Kacper Skrobacz,
  • Piotr Jankowski-Mihułowicz,
  • Mariusz Węglarski and
  • Kazimierz Kamuda

23 September 2023

The Internet of Things (IoT) localization empowers smart infrastructures of buildings to deliver advanced services to users leveraging mobile devices. In this context, in order to enhance the mobility of people with disabilities on the university cam...

  • Review
  • Open Access
30 Citations
7,760 Views
17 Pages

Exploring Bluetooth Beacon Use Cases in Teaching and Learning: Increasing the Sustainability of Physical Learning Spaces

  • Sion Griffiths,
  • Man Sing Wong,
  • Coco Yin Tung Kwok,
  • Roy Kam,
  • Simon Ching Lam,
  • Lin Yang,
  • Tsz Leung Yip,
  • Joon Heo,
  • Benedict Shing Bun Chan and
  • Keru Lu
  • + 1 author

24 July 2019

Considering the surge in e-learning growth over the last decade and the proliferation of mobile devices in the Bring Your Own Device generation, this paper reviews selected use cases of Bluetooth beacons in educational situations. We review the contr...

  • Article
  • Open Access
427 Views
18 Pages

31 December 2025

The integration of mobile devices into aviation powering electronic flight bags, maintenance logs, and flight planning tools has created a critical and expanding cyber-attack surface. Security for these systems must be not only effective but also tra...

  • Article
  • Open Access
20 Citations
5,395 Views
18 Pages

A Middleware Solution for Wireless IoT Applications in Sparse Smart Cities

  • Paolo Bellavista,
  • Carlo Giannelli,
  • Stefano Lanzone,
  • Giulio Riberto,
  • Cesare Stefanelli and
  • Mauro Tortonesi

3 November 2017

The spread of off-the-shelf mobile devices equipped with multiple wireless interfaces together with sophisticated sensors is paving the way to novel wireless Internet of Things (IoT) environments, characterized by multi-hop infrastructure-less wirele...

  • Feature Paper
  • Article
  • Open Access
28 Citations
8,188 Views
7 Pages

Wireless Fractal Ultra-Dense Cellular Networks

  • Yixue Hao,
  • Min Chen,
  • Long Hu,
  • Jeungeun Song,
  • Mojca Volk and
  • Iztok Humar

12 April 2017

With the ever-growing number of mobile devices, there is an explosive expansion in mobile data services. This represents a challenge for the traditional cellular network architecture to cope with the massive wireless traffic generated by mobile media...

  • Article
  • Open Access
2 Citations
2,456 Views
13 Pages

10 December 2022

Container technology enables rapid deployment of computing services, while edge computing reduces the latency of task computing and improves performance. However, there are limits to the types, number and performance of containers that can be support...

  • Article
  • Open Access
10 Citations
2,514 Views
22 Pages

An IoT Transfer Learning-Based Service for the Health Status Monitoring of Grapevines

  • Antonios Morellos,
  • Konstantinos Dolaptsis,
  • Georgios Tziotzios,
  • Xanthoula Eirini Pantazi,
  • Dimitrios Kateris,
  • Remigio Berruto and
  • Dionysis Bochtis

26 January 2024

Grapevine is a valuable and profitable crop that is susceptible to various diseases, making effective disease detection crucial for crop monitoring. This work explores the use of deep learning-based plant disease detection as an alternative to tradit...

  • Article
  • Open Access
7 Citations
3,224 Views
25 Pages

25 April 2025

The deployment of machine learning models on mobile platforms has ushered in a new era of innovation across diverse sectors, including agriculture, where such applications hold immense promise for empowering farmers with cutting-edge technologies. In...

  • Article
  • Open Access
1 Citations
634 Views
20 Pages

12 November 2025

With the rapid development of Intelligent Traffic Systems (ITS), traffic signal detection has become a hot research issue in various countries. In order to address the challenges of high parameter count, high power consumption, and deployment difficu...

  • Article
  • Open Access
10 Citations
3,237 Views
17 Pages

A Vehicle-Edge-Cloud Framework for Computational Analysis of a Fine-Tuned Deep Learning Model

  • M. Jalal Khan,
  • Manzoor Ahmed Khan,
  • Sherzod Turaev,
  • Sumbal Malik,
  • Hesham El-Sayed and
  • Farman Ullah

25 March 2024

The cooperative, connected, and automated mobility (CCAM) infrastructure plays a key role in understanding and enhancing the environmental perception of autonomous vehicles (AVs) driving in complex urban settings. However, the deployment of CCAM infr...

  • Article
  • Open Access
49 Citations
7,996 Views
18 Pages

LiteNet: Lightweight Neural Network for Detecting Arrhythmias at Resource-Constrained Mobile Devices

  • Ziyang He,
  • Xiaoqing Zhang,
  • Yangjie Cao,
  • Zhi Liu,
  • Bo Zhang and
  • Xiaoyan Wang

17 April 2018

By running applications and services closer to the user, edge processing provides many advantages, such as short response time and reduced network traffic. Deep-learning based algorithms provide significantly better performances than traditional algo...

  • Article
  • Open Access
14 Citations
6,008 Views
26 Pages

MobileSAM-Track: Lightweight One-Shot Tracking and Segmentation of Small Objects on Edge Devices

  • Yehui Liu,
  • Yuliang Zhao,
  • Xinyue Zhang,
  • Xiaoai Wang,
  • Chao Lian,
  • Jian Li,
  • Peng Shan,
  • Changzeng Fu,
  • Xiaoyong Lyu and
  • Wen Jung Li
  • + 2 authors

7 December 2023

Tracking and segmenting small targets in remote sensing videos on edge devices carries significant engineering implications. However, many semi-supervised video object segmentation (S-VOS) methods heavily rely on extensive video random-access memory...

  • Article
  • Open Access
9 Citations
2,805 Views
18 Pages

Towards Adaptive Multipath Managing: A Lightweight Path Management Mechanism to Aid Multihomed Mobile Computing Devices

  • Yuanlong Cao,
  • Mario Collotta,
  • Siyi Xu,
  • Longjun Huang,
  • Xueqiang Tao and
  • Zhichao Zhou

4 January 2020

With the large scale deployment of multihomed mobile computing devices in today’s Internet, the Multipath TCP (MPTCP) is being considered as a preferred data transmission technology in the future Internet due to its promising features of bandwi...

  • Article
  • Open Access
27 Citations
4,869 Views
19 Pages

A Secure Multi-Tier Mobile Edge Computing Model for Data Processing Offloading Based on Degree of Trust

  • Francisco José Mora-Gimeno,
  • Higinio Mora-Mora,
  • Diego Marcos-Jorquera and
  • Bruno Volckaert

23 September 2018

Current mobile devices need to run applications with high computational demands and critical response times. The mobile edge computing (MEC) paradigm was developed to improve the performance of these devices. This new computation architecture allows...

  • Article
  • Open Access
1,109 Views
25 Pages

21 November 2025

Mobile devices are frequent targets of malware due to the large volume of sensitive personal, financial, and corporate data they process. Traditional static, dynamic, and hybrid analysis methods are increasingly insufficient against evolving threats....

  • Article
  • Open Access
7 Citations
3,738 Views
30 Pages

26 July 2019

Localization has become an important aspect in a wide range of mobile services with the integration of the Internet of things and service on demand. Numerous mechanisms have been proposed for localization, most of which are based on the estimation of...

  • Article
  • Open Access
19 Citations
5,856 Views
17 Pages

1 March 2017

A significant role in the Internet of Things (IoT) will be taken by mobile and low-cost unstable devices, which autonomously self-organize and introduce highly dynamic and heterogeneous scenarios for the deployment of distributed applications. This e...

  • Article
  • Open Access
23 Citations
6,736 Views
16 Pages

An Improved Tuna-YOLO Model Based on YOLO v3 for Real-Time Tuna Detection Considering Lightweight Deployment

  • Yuqing Liu,
  • Huiyong Chu,
  • Liming Song,
  • Zhonglin Zhang,
  • Xing Wei,
  • Ming Chen and
  • Jieran Shen

A real-time tuna detection network on mobile devices is a common tool for accurate tuna catch statistics. However, most object detection models have multiple parameters, and normal mobile devices have difficulties in satisfying real-time detection. B...

  • Article
  • Open Access
4 Citations
3,420 Views
19 Pages

The use of wireless communications systems on the factory shop floor is becoming an appealing solution with many advantages compared to cable-based solutions, including low cost, easy deployment, and flexibility. This, combined with the continuous gr...

  • Article
  • Open Access
10 Citations
3,695 Views
19 Pages

17 August 2021

In this paper, we propose a hospital sensor network deployment method for smart healthcare systems. Since sensor nodes in hospitals are always in an environment where power can be supplied, it is essential to have stable network connectivity by achie...

  • Article
  • Open Access
23 Citations
6,833 Views
31 Pages

14 July 2020

Using autonomously operating mobile sensor nodes to form adaptive wireless sensor networks has great potential for monitoring applications in the real world. Especially in, e.g., disaster response scenarios—that is, when the environment is pote...

  • Review
  • Open Access
2,378 Views
20 Pages

LPWAN Technologies for IoT: Real-World Deployment Performance and Practical Comparison

  • Dmitrijs Orlovs,
  • Artis Rusins,
  • Valters Skrastiņš and
  • Janis Judvaitis

10 December 2025

Low Power Wide Area Networks (LPWAN) have emerged as essential connectivity solutions for the Internet of Things (IoT), addressing requirements for long range, energy efficient communication that traditional wireless technologies cannot meet. With LP...

  • Article
  • Open Access
2 Citations
2,511 Views
18 Pages

Immunized Token-Based Approach for Autonomous Deployment of Multiple Mobile Robots in Burnt Area

  • Sulemana Nantogma,
  • Weizhi Ran,
  • Pengfei Liu,
  • Zhang Yu and
  • Yang Xu

15 October 2021

Collaborative exploration, sensing and communication in previously unknown environments with high network latency, such as outer space, battlefields and disaster hit areas are promising in multi-agent applications. When disasters such as large fires...

  • Article
  • Open Access
686 Views
18 Pages

Deploying Neural Networks at Sea: Condition Monitoring of the Ropes on the Amerigo Vespucci

  • Letizia Rosseti,
  • Mattia Frascio,
  • Massimiliano Avalle and
  • Francesco Grella

4 November 2025

Monitoring the condition of ropes aboard historic ships is crucial for both safety and preservation. This study introduces a portable, low-cost imaging device designed for deployment on the Italian training ship Amerigo Vespucci, enabling autonomous...

  • Article
  • Open Access
1 Citations
2,288 Views
17 Pages

Image-Acceleration Multimodal Danger Detection Model on Mobile Phone for Phone Addicts

  • Han Wang,
  • Xiang Ji,
  • Lei Jin,
  • Yujiao Ji and
  • Guangcheng Wang

18 July 2024

With the popularity of smartphones, a large number of “phubbers” have emerged who are engrossed in their phones regardless of the situation. In response to the potential dangers that phubbers face while traveling, this paper proposes a mu...

  • Article
  • Open Access
4 Citations
2,259 Views
14 Pages

LiteFer: An Approach Based on MobileViT Expression Recognition

  • Xincheng Yang,
  • Zhenping Lan,
  • Nan Wang,
  • Jiansong Li,
  • Yuheng Wang and
  • Yuwei Meng

10 September 2024

Facial expression recognition using convolutional neural networks (CNNs) is a prevalent research area, and the network’s complexity poses obstacles for deployment on devices with limited computational resources, such as mobile devices. To addre...

  • Article
  • Open Access
10 Citations
3,564 Views
14 Pages

27 March 2023

Deep learning-based target detectors are in demand for a wide range of applications, often in areas such as robotics and the automotive industry. The high computational requirements of deep learning severely limit its ability to be deployed on resour...

  • Article
  • Open Access
2 Citations
2,244 Views
11 Pages

30 September 2024

With the development of Convolutional Neural Networks (CNNs), there is a growing requirement for their deployment on edge devices. At the same time, Compute-In-Memory (CIM) technology has gained significant attention in edge CNN applications due to i...

  • Article
  • Open Access
7 Citations
4,982 Views
16 Pages

16 October 2020

The rapid proliferation of user devices with access to mobile broadband has been a challenge from both the operation and deployment points of view. With the incorporation of new services with high demand for bandwidth such as video in 4K, it has been...

  • Feature Paper
  • Article
  • Open Access
2 Citations
4,069 Views
24 Pages

Context-Aware Mode Selection for 5G Multi-Hop Cellular Networks

  • M. Carmen Lucas-Estañ,
  • Javier Gozalvez and
  • Miguel Sepulcre

In the present day, 5G and beyond networks are being designed to support the future increase of data traffic and service demands. To support such increase, 5G networks will incorporate device-centric technologies with adequate mechanisms to scale and...

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