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77 Results Found

  • Article
  • Open Access
26 Citations
4,387 Views
23 Pages

10 December 2020

In this paper, we propose a multipath-assisted device-free localization (DFL) system that includes magnitude and phase information (MAMPI). The DFL system employs ultra-wideband (UWB) channel impulse response (CIR) measurements, enabling the extracti...

  • Article
  • Open Access
31 Citations
7,196 Views
23 Pages

Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images

  • Yaxin Ding,
  • Xiaomei Yang,
  • Hailiang Jin,
  • Zhihua Wang,
  • Yueming Liu,
  • Bin Liu,
  • Junyao Zhang,
  • Xiaoliang Liu,
  • Ku Gao and
  • Dan Meng

25 September 2021

The use of remote sensing to monitor coastlines with wide distributions and dynamic changes is significant for coastal environmental monitoring and resource management. However, most current remote sensing information extraction of coastlines is base...

  • Article
  • Open Access
69 Citations
8,703 Views
19 Pages

19 September 2018

As the basic feature of building, building edges play an important role in many fields such as urbanization monitoring, city planning, surveying and mapping. Building edges detection from high spatial resolution remote sensing (HSRRS) imagery has alw...

  • Article
  • Open Access
23 Citations
4,423 Views
17 Pages

Influence of Surface Features for Increased Heat Dissipation on Tool Wear

  • Nageswaran Tamil Alagan,
  • Tomas Beno,
  • Philipp Hoier,
  • Uta Klement and
  • Anders Wretland

25 April 2018

The critical problems faced during the machining process of heat resistant superalloys, (HRSA), is the concentration of heat in the cutting zone and the difficulty in dissipating it. The concentrated heat in the cutting zone has a negative influence...

  • Article
  • Open Access
2 Citations
1,787 Views
16 Pages

19 December 2024

During the study of multimodal brain tumor MR image segmentation, the large differences in the image distributions make the assumption that the conditional probabilities are similar when the edge distributions of the target and source domains are sim...

  • Article
  • Open Access
41 Citations
6,104 Views
16 Pages

Hyperspectral Image Classification with Multi-Scale Feature Extraction

  • Bing Tu,
  • Nanying Li,
  • Leyuan Fang,
  • Danbing He and
  • Pedram Ghamisi

5 March 2019

Spectral features cannot effectively reflect the differences among the ground objects and distinguish their boundaries in hyperspectral image (HSI) classification. Multi-scale feature extraction can solve this problem and improve the accuracy of HSI...

  • Article
  • Open Access
12 Citations
2,641 Views
15 Pages

18 July 2022

Rejoining oracle bone fragments plays an import role in studying the history and culture of the Shang dynasty by its characters. However, current computer vision technology has a low accuracy in judging whether the texture of oracle bone fragment ima...

  • Review
  • Open Access
794 Views
21 Pages

4 September 2025

While Evidence Theory (also known as Dempster–Shafer Theory, or Belief Functions Theory) is being increasingly used in data fusion, its potentialities in the Social and Life Sciences are often obscured by lack of awareness of its distinctive fe...

  • Article
  • Open Access
15 Citations
8,027 Views
20 Pages

The edge devices connected to the Internet of Things (IoT) infrastructures are increasingly susceptible to piracy. These pirated edge devices pose a serious threat to security, as an adversary can get access to the private network through these non-a...

  • Article
  • Open Access
1 Citations
875 Views
19 Pages

Three-Dimensional High-Efficiency Video Coding (3D-HEVC) efficiently compresses 3D video by incorporating depth map encoding techniques. However, the quadtree partitioning of depth map coding units (CUs) greatly increases computational complexity, co...

  • Article
  • Open Access
593 Views
24 Pages

We investigate anomaly detection in complex networks through a property-testing-guided graph neural model (PT-GNN) that provides an end-to-end miss-probability certificate (δ+α). The method combines (i) a wedge-sampling tester that estima...

  • Article
  • Open Access
14 Citations
5,554 Views
22 Pages

23 February 2023

The semantic segmentation of remote sensing images is a significant research direction in digital image processing. The complex background environment, irregular size and shape of objects, and similar appearance of different categories of remote sens...

  • Article
  • Open Access
8 Citations
5,307 Views
17 Pages

31 March 2017

Object tracking has remained a challenging problem in recent years. Most of the trackers can not work well, especially when dealing with problems such as similarly colored backgrounds, object occlusions, low illumination, or sudden illumination chang...

  • Article
  • Open Access
3 Citations
1,988 Views
21 Pages

12 August 2024

Radiation anomalies in optical remote sensing images frequently occur due to electronic issues within the image sensor or data transmission errors. These radiation anomalies can be categorized into several types, including CCD, StripeNoise, RandomCod...

  • Article
  • Open Access
10 Citations
8,644 Views
33 Pages

Improving Churn Detection in the Banking Sector: A Machine Learning Approach with Probability Calibration Techniques

  • Alin-Gabriel Văduva,
  • Simona-Vasilica Oprea,
  • Andreea-Mihaela Niculae,
  • Adela Bâra and
  • Anca-Ioana Andreescu

18 November 2024

Identifying and reducing customer churn have become a priority for financial institutions seeking to retain clients. Our research focuses on customer churn rate analysis using advanced machine learning (ML) techniques, leveraging a synthetic dataset...

  • Article
  • Open Access
9 Citations
3,915 Views
22 Pages

24 May 2018

Information transfer that characterizes the information feature variation can have a crucial impact on big data analytics and processing. Actually, the measure for information transfer can reflect the system change from the statistics by using the va...

  • Article
  • Open Access
1 Citations
1,216 Views
24 Pages

9 February 2025

In synthetic aperture radar (SAR) images, pixel-level Ground Truth (GT) is a scarce resource compared to Bounding Box (BBox) annotations. Therefore, exploring the use of unsupervised instance segmentation methods to convert BBox-level annotations int...

  • Article
  • Open Access
59 Citations
6,987 Views
11 Pages

25 February 2016

A novel bearing vibration signal fault feature extraction and recognition method based on the improved local mean decomposition (LMD), permutation entropy (PE) and the optimized K-means clustering algorithm is put forward in this paper. The improved...

  • Article
  • Open Access
8 Citations
3,258 Views
12 Pages

Image Semantic Segmentation Use Multiple-Threshold Probabilistic R-CNN with Feature Fusion

  • Jianxin Liu,
  • Yushui Geng,
  • Jing Zhao,
  • Kang Zhang and
  • Wenxiao Li

28 January 2021

With continuous developments in deep learning, image semantic segmentation technology has also undergone great advancements and been widely used in many fields with higher segmentation accuracy. This paper proposes an image semantic segmentation algo...

  • Article
  • Open Access
742 Views
21 Pages

Internal Structure and Inclusions: Constraints on the Origin of the Tancheng Alluvial Diamonds from the North China Craton

  • Qing Lv,
  • Fei Liu,
  • Yue-Jin Ge,
  • Zhao-Ying Li,
  • Xiao Liu,
  • Yong-Lin Yao,
  • Yu-Feng Wang,
  • Hai-Qin Wang,
  • Sheng-Hu Li and
  • Xiao-Dong Ma
  • + 3 authors

30 May 2025

The internal growth patterns and surface micromorphology of diamonds provide a record of their multi-stage evolution, from initial formation within the mantle to their eventual ascent to the Earth’s surface via deeply derived kimberlite magmas....

  • Article
  • Open Access
19 Citations
2,673 Views
12 Pages

12 October 2020

Serious ice accretion will cause structural problems and ice flashover accidents, which result in outdoor insulator string operating problems in winter conditions. Previous investigations have revealed that the thicker and longer insulators are cover...

  • Article
  • Open Access
1,304 Views
16 Pages

A Rapid Segmentation Method Based on Few-Shot Learning: A Case Study on Roadways

  • He Cai,
  • Jiangchuan Chen,
  • Yunfei Yin,
  • Junpeng Yu and
  • Zejiao Dong

26 August 2025

Currently, deep learning-based segmentation methods are capable of achieving accurate segmentation. However, their deployment and training are costly and resource-intensive. To reduce deployment costs and facilitate the application of segmentation mo...

  • Article
  • Open Access
5 Citations
2,543 Views
19 Pages

Spatio-Temporal Analysis of Dust Storm Activity in Chryse Planitia Using MGS-MOC Observations from Mars Years 24–28

  • Bo Li,
  • Zongyu Yue,
  • Shaojie Qu,
  • Peiwen Yao,
  • Xiaohui Fu,
  • Zongcheng Ling and
  • Shengbo Chen

12 November 2021

Dust storms, observed in all seasons, are among the most momentous of Mars’ atmospheric activities. The Entry–Descent–Landing (EDL) activity of a Martian landing mission is influenced by local atmospheric conditions, especially the probability of dus...

  • Article
  • Open Access
4 Citations
4,085 Views
19 Pages

Human–object interaction (HOI) detection is important for promoting the development of many fields such as human–computer interactions, service robotics, and video security surveillance. A high percentage of human–object pairs with...

  • Article
  • Open Access
2 Citations
4,585 Views
27 Pages

1 August 2021

Classifying fluctuating operating wireless environments can be crucial for successfully delivering authentic and confidential packets and for identifying legitimate signals. This study utilizes raw in-phase (I) and quadrature-phase (Q) samples, exclu...

  • Article
  • Open Access
13 Citations
6,389 Views
21 Pages

A New CNN-Bayesian Model for Extracting Improved Winter Wheat Spatial Distribution from GF-2 imagery

  • Chengming Zhang,
  • Yingjuan Han,
  • Feng Li,
  • Shuai Gao,
  • Dejuan Song,
  • Hui Zhao,
  • Keqi Fan and
  • Ya’nan Zhang

14 March 2019

When the spatial distribution of winter wheat is extracted from high-resolution remote sensing imagery using convolutional neural networks (CNN), field edge results are usually rough, resulting in lowered overall accuracy. This study proposed a new p...

  • Article
  • Open Access
3 Citations
3,103 Views
18 Pages

11 September 2024

Visible and infrared image fusion is a strategy that effectively extracts and fuses information from different sources. However, most existing methods largely neglect the issue of lighting imbalance, which makes the same fusion models inapplicable to...

  • Article
  • Open Access
1 Citations
1,418 Views
22 Pages

21 April 2025

The transportation of wind turbine blades in remote wind farm areas poses significant safety risks to both personnel and infrastructure. These risks arise from collision hazards, complex terrain, and the difficulty of real-time monitoring under adver...

  • Article
  • Open Access
18 Citations
4,759 Views
22 Pages

Hybrid Histogram Descriptor: A Fusion Feature Representation for Image Retrieval

  • Qinghe Feng,
  • Qiaohong Hao,
  • Yuqi Chen,
  • Yugen Yi,
  • Ying Wei and
  • Jiangyan Dai

15 June 2018

Currently, visual sensors are becoming increasingly affordable and fashionable, acceleratingly the increasing number of image data. Image retrieval has attracted increasing interest due to space exploration, industrial, and biomedical applications. N...

  • Article
  • Open Access
193 Views
16 Pages

17 December 2025

Precisely identifying cancer drivers helps us to understand the molecular mechanisms of cancer, offering critical targets for early diagnosis. Despite the increasing application of graph neural networks in predicting cancer driver genes, existing app...

  • Article
  • Open Access
1,264 Views
22 Pages

10 February 2025

Burn injuries are a common traumatic condition, and the early diagnosis of burn depth is crucial for reducing treatment costs and improving survival rates. In recent years, image-based deep learning techniques have been utilized to realize the automa...

  • Article
  • Open Access
9 Citations
4,161 Views
13 Pages

16 September 2019

The formation of structure in the visual system, that is, of the connections between cells within neural populations, is by and large an unsupervised learning process. In the primary visual cortex of mammals, for example, one can observe during devel...

  • Article
  • Open Access
66 Citations
9,149 Views
34 Pages

22 September 2021

The emergence of ground-breaking technologies such as artificial intelligence, cloud computing, big data powered by the Internet, and its highly valued real-world applications consisting of symmetric and asymmetric data distributions, has significant...

  • Article
  • Open Access
5 Citations
2,629 Views
23 Pages

Identification of the Initial Anthesis of Soybean Varieties Based on UAV Multispectral Time-Series Images

  • Di Pan,
  • Changchun Li,
  • Guijun Yang,
  • Pengting Ren,
  • Yuanyuan Ma,
  • Weinan Chen,
  • Haikuan Feng,
  • Riqiang Chen,
  • Xin Chen and
  • Heli Li

18 November 2023

Accurate and high-throughput identification of the initial anthesis of soybean varieties is important for the breeding and screening of high-quality soybean cultivars in field trials. The objectives of this study were to identify the initial day of a...

  • Article
  • Open Access
631 Views
13 Pages

SD-FINE: Lightweight Object Detection Method for Critical Equipment in Substations

  • Wei Sun,
  • Yu Hao,
  • Sha Luo,
  • Zhiwei Zou,
  • Lu Xing and
  • Qingwei Gao

1 September 2025

The safe and stable operation of critical substation equipment is paramount to the power system, and its intelligent inspection relies on highly efficient and accurate object detection technology. However, the demanding requirements for both accuracy...

  • Article
  • Open Access
1 Citations
1,827 Views
24 Pages

10 February 2025

As edge computing environments become increasingly dynamic, the need for efficient job scheduling and proactive fault prevention is becoming paramount. In such environments, minimizing machine downtime and maintaining productivity are critical challe...

  • Article
  • Open Access
20 Citations
8,001 Views
21 Pages

16 December 2016

Nowadays, how to evaluate image quality reasonably is a basic and challenging problem. In view of the present no reference evaluation methods, they cannot reflect the human visual perception of image quality accurately. In this paper, we propose an e...

  • Article
  • Open Access
5 Citations
3,408 Views
22 Pages

Coarse-Clast Storm Deposit and Solitary Boulders on the Island of Mana (NP Kornati, Central Adriatic, Croatia)

  • Tvrtko Korbar,
  • Dražen Navratil,
  • Cléa Denamiel,
  • Branko Kordić,
  • Sara Biolchi,
  • Ivica Vilibić and
  • Stefano Furlani

22 September 2022

There is growing evidence that many large coastal boulder deposits found on the exposed rocky ocean shores were deposited by extreme storm waves rather than by catastrophic tsunamis, as previously thought. In addition, before the first discovery in t...

  • Article
  • Open Access
10 Citations
4,256 Views
25 Pages

21 October 2022

Time series classification is an active research topic due to its wide range of applications and the proliferation of sensory data. Convolutional neural networks (CNNs) are ubiquitous in modern machine learning (ML) models. In this work, we present a...

  • Article
  • Open Access
2 Citations
1,858 Views
15 Pages

21 August 2024

One primary concern in the field of remote-sensing image processing is the precise classification of hyperspectral images (HSIs). Lately, deep-learning models have demonstrated cutting-edge results in HSI classification. Despite this, researchers con...

  • Article
  • Open Access
4 Citations
2,896 Views
22 Pages

25 September 2022

Error evaluation is essential for the improvement and application of the Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (IMERG) Version 06 daily precipitation estimates, including early-, late-, and final-run products...

  • Article
  • Open Access
697 Views
22 Pages

12 September 2025

Semantic segmentation of urban scenes from red–green–blue and thermal infrared imagery enables per-pixel categorization, delivering precise environmental understanding for autonomous driving and urban planning. However, existing methods s...

  • Article
  • Open Access
5 Citations
3,542 Views
13 Pages

Satellite-Based Analysis of Surface Upwelling in the Sea Adjacent to Zhoushan Islands in China

  • Teng Xiao,
  • Wenbin Yin,
  • Jiajun Feng,
  • Yingying Liu,
  • Kapo Wong,
  • Jin Yeu Tsou and
  • Yuanzhi Zhang

26 February 2023

The fish catch in natural upwelling areas, which accounts for only 0.1% of the ocean surface, accounts for more than 40% of the world’s catch. The Zhoushan fishery, which is the largest fishery in China, is mainly formed by a coastal upwelling...

  • Article
  • Open Access
771 Views
16 Pages

4 July 2025

The Bayesian network is a directed, acyclic graphical model that can offer a structured description for probabilistic dependencies among random variables. As powerful tools for classification tasks, Bayesian classifiers often require computing joint...

  • Article
  • Open Access
649 Views
16 Pages

7 November 2025

Deep Neural Networks (DNNs) are the primary approach for enhancing the real-time performance and accuracy of Keyword Spotting (KWS) systems in speech processing. However, the exceptional performance of DNN-KWS faces significant challenges related to...

  • Article
  • Open Access
2 Citations
1,661 Views
26 Pages

Low-Light Image Dehazing and Enhancement via Multi-Feature Domain Fusion

  • Jiaxin Wu,
  • Han Ai,
  • Ping Zhou,
  • Hao Wang,
  • Haifeng Zhang,
  • Gaopeng Zhang and
  • Weining Chen

25 August 2025

The acquisition of nighttime remote-sensing visible-light images is often accompanied by low-illumination effects and haze interference, resulting in significant image quality degradation and greatly affecting subsequent applications. Existing low-li...

  • Article
  • Open Access
2 Citations
3,408 Views
12 Pages

10 January 2025

Edge processing is a trend in developing new technologies that leverage Artificial Intelligence (AI) without transmitting large volumes of data to centralized processing services. This technique is particularly relevant for security applications wher...

  • Article
  • Open Access
7 Citations
6,389 Views
21 Pages

Utilizing Remote Sensing and Satellite-Based Bouguer Gravity data to Predict Potential Sites of Hydrothermal Minerals and Gold Deposits in Central Saudi Arabia

  • Amr Abd El-Raouf,
  • Fikret Doğru,
  • Islam Azab,
  • Lincheng Jiang,
  • Kamal Abdelrahman,
  • Mohammed S. Fnais and
  • Omar Amer

15 August 2023

This article aims to aid in exploring and forecasting hydrothermal minerals and gold deposits in Central Saudi Arabia (SA), with a focus on structural contexts. Remote sensing (RS) and satellite-based Bouguer gravity (SBG) data were integrated in ord...

  • Article
  • Open Access
3 Citations
1,897 Views
16 Pages

Geospatial Analysis of Transmissivity and Uncertainty in a Semi-Arid Karst Region

  • Thiago dos Santos Gonçalves,
  • Harald Klammler and
  • Luíz Rogério Bastos Leal

6 March 2024

Aquifer properties, such as hydraulic transmissivity T and its spatial variability, are fundamental for sustainable groundwater exploitation in arid regions. Especially in karst aquifers, spatial variability can be considerable, and the application o...

  • Article
  • Open Access
9 Citations
3,864 Views
17 Pages

Computational Linguistics with Deep-Learning-Based Intent Detection for Natural Language Understanding

  • Hala J. Alshahrani,
  • Khaled Tarmissi,
  • Hussain Alshahrani,
  • Mohamed Ahmed Elfaki,
  • Ayman Yafoz,
  • Raed Alsini,
  • Omar Alghushairy and
  • Manar Ahmed Hamza

29 August 2022

Computational linguistics explores how human language is interpreted automatically and then processed. Research in this area takes the logical and mathematical features of natural language and advances methods and statistical procedures for automated...

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