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30,758 Results Found

  • Article
  • Open Access
12 Citations
3,940 Views
13 Pages

Classification Method of Plug Seedlings Based on Transfer Learning

  • Zhang Xiao,
  • Yu Tan,
  • Xingxing Liu and
  • Shenghui Yang

5 July 2019

The classification of plug seedlings is important work in the replanting process. This paper proposed a classification method for plug seedlings based on transfer learning. Firstly, by extracting and graying the interest region of the original image...

  • Article
  • Open Access
8 Citations
13,046 Views
24 Pages

Extended Averaged Learning Subspace Method for Hyperspectral Data Classification

  • Hasi Bagan,
  • Wataru Takeuchi,
  • Yoshiki Yamagata,
  • Xiaohui Wang and
  • Yoshifumi Yasuoka

3 June 2009

Averaged learning subspace methods (ALSM) have the advantage of being easily implemented and appear to outperform in classification problems of hyperspectral images. However, there remain some open and challenging problems, which if addressed, could...

  • Article
  • Open Access
29 Citations
7,827 Views
18 Pages

Crop Classification Based on a Novel Feature Filtering and Enhancement Method

  • Limin Wang,
  • Qinghan Dong,
  • Lingbo Yang,
  • Jianmeng Gao and
  • Jia Liu

22 February 2019

Vegetation indices, such as the normalized difference vegetation index (NDVI) or enhanced vegetation index (EVI) derived from remote sensing images, are widely used for crop classification. However, vegetation index profiles for different crops with...

  • Article
  • Open Access
8 Citations
3,426 Views
19 Pages

14 September 2018

A novel multi-class classification method named the voting-cross support vector machine (SVM) method was proposed in this study, for classifying vehicle targets in wireless sensor networks. The advantages and disadvantages of available methods were s...

  • Article
  • Open Access
28 Citations
4,487 Views
20 Pages

20 February 2023

Fruits are considered among the most nutrient-dense cash crops around the globe. Since fruits come in different types, sizes, shapes, colors, and textures, the manual classification and disease identification of a large quantity of fruit is time-cons...

  • Article
  • Open Access
9 Citations
2,081 Views
11 Pages

Haar Wavelet-Based Classification Method for Visual Information Processing Systems

  • Wang Huan,
  • Galina Shcherbakova,
  • Anatoliy Sachenko,
  • Lingyu Yan,
  • Natalya Volkova,
  • Bohdan Rusyn and
  • Agnieszka Molga

28 April 2023

Nowadays, the systems for visual information processing are significantly extending their application field. Moreover, an unsolved problem for such systems is that the classification procedure has often-conflicting requirements for performance and cl...

  • Article
  • Open Access
39 Citations
7,313 Views
18 Pages

Stacking-Based Ensemble Learning Method for Multi-Spectral Image Classification

  • Tagel Aboneh,
  • Abebe Rorissa and
  • Ramasamy Srinivasagan

Higher dimensionality, Hughes phenomenon, spatial resolution of image data, and presence of mixed pixels are the main challenges in a multi-spectral image classification process. Most of the classical machine learning algorithms suffer from scoring o...

  • Article
  • Open Access
31 Citations
5,017 Views
20 Pages

An Action Classification Method for Forklift Monitoring in Industry 4.0 Scenarios

  • Andrea Motroni,
  • Alice Buffi,
  • Paolo Nepa,
  • Mario Pesi and
  • Antonio Congi

30 July 2021

The I-READ 4.0 project is aimed at developing an integrated and autonomous Cyber-Physical System for automatic management of very large warehouses with a high-stock rotation index. Thanks to a network of Radio Frequency Identification (RFID) readers...

  • Article
  • Open Access
5 Citations
3,761 Views
21 Pages

A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method

  • Wei Wei,
  • Mengting Ma,
  • Cong Wang,
  • Lei Zhang,
  • Peng Zhang and
  • Yanning Zhang

15 February 2019

Supervised hyperspectral image (HSI) classification has been acknowledged as one of the fundamental tasks of hyperspectral data analysis. Witnessing the success of analysis dictionary learning (ADL)-based method in recent years, we propose an ADL-bas...

  • Article
  • Open Access
2 Citations
3,943 Views
13 Pages

Classification in High Dimension Using the Ledoit–Wolf Shrinkage Method

  • Rasoul Lotfi,
  • Davood Shahsavani and
  • Mohammad Arashi

1 November 2022

Classification using linear discriminant analysis (LDA) is challenging when the number of variables is large relative to the number of observations. Algorithms such as LDA require the computation of the feature vector’s precision matrices. In a...

  • Article
  • Open Access
4 Citations
3,620 Views
20 Pages

24 November 2022

Airborne light detection and ranging (LiDAR) has been recognized as a reliable and accurate measurement tool in forest volume estimation, urban scene reconstruction and land cover classification, where LiDAR data provide crucial and efficient feature...

  • Article
  • Open Access
6 Citations
2,687 Views
29 Pages

Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method

  • Tao Chen,
  • Sizuo Chen,
  • Luying Chen,
  • Huayue Chen,
  • Bochuan Zheng and
  • Wu Deng

19 November 2024

With the development of sensor technology, the sources of remotely sensed image data for the same region are becoming increasingly diverse. Unlike single-source remote sensing image data, multisource remote sensing image data can provide complementar...

  • Article
  • Open Access
3 Citations
3,716 Views
13 Pages

Revisiting Text Guide, a Truncation Method for Long Text Classification

  • Krzysztof Fiok,
  • Waldemar Karwowski,
  • Edgar Gutierrez,
  • Mohammad Reza Davahli,
  • Maciej Wilamowski and
  • Tareq Ahram

15 September 2021

The quality of text classification has greatly improved with the introduction of deep learning, and more recently, models using attention mechanism. However, to address the problem of classifying text instances that are longer than the length limit a...

  • Article
  • Open Access
15 Citations
3,024 Views
13 Pages

1 November 2019

It is difficult to correctly classify all faults by using only one classifier, and the performance of most classifiers varies under different conditions. In view of this, a new decision fusion system is proposed to solve the problem of fault classifi...

  • Article
  • Open Access
2,383 Views
24 Pages

22 June 2021

Determining the distribution fitting of traditional private vehicle user driving behavior is an effective way to understand the differences between different users and provides valuable information on user travel demands. The classification of users...

  • Article
  • Open Access
3 Citations
2,191 Views
12 Pages

27 September 2022

The classification of protein sequences provides valuable insights into bioinformatics. Most existing methods are based on sequence alignment algorithms, which become time-consuming as the size of the database increases. Therefore, there is a need to...

  • Article
  • Open Access
7 Citations
3,469 Views
18 Pages

29 April 2019

In this study, we propose adaptive locomotion for an autonomous multilegged walking robot, an image infilling method for terrain classification based on a combination of speeded up robust features, and binary robust invariant scalable keypoints (SURF...

  • Article
  • Open Access
3 Citations
3,427 Views
13 Pages

31 August 2019

The analysis of cancer genomic data has long suffered “the curse of dimensionality.” Sample sizes for most cancer genomic studies are a few hundreds at most while there are tens of thousands of genomic features studied. Various methods ha...

  • Article
  • Open Access
8 Citations
3,501 Views
15 Pages

Beat classification and denoising are two challenging and fundamental operations when processing digital electrocardiograms (ECG). This paper proposes the extended segmented beat modulation method (ESBMM) as a tool for automatic beat classification a...

  • Article
  • Open Access
37 Citations
5,898 Views
26 Pages

Development of Rheumatoid Arthritis Classification from Electronic Image Sensor Using Ensemble Method

  • Ho Sharon,
  • Irraivan Elamvazuthi,
  • Cheng-Kai Lu,
  • S. Parasuraman and
  • Elango Natarajan

27 December 2019

Rheumatoid arthritis (RA) is an autoimmune illness that impacts the musculoskeletal system by causing chronic, inflammatory, and systemic effects. The disease often becomes progressive and reduces physical function, causes suffering, fatigue, and art...

  • Article
  • Open Access
1 Citations
1,675 Views
25 Pages

18 November 2024

Rural revitalization is a strategic plan to address sustainable rural development in China and is an important revitalization task for Chinese villages. Rural classification is a key strategy for clarifying the direction and positioning of rural deve...

  • Article
  • Open Access
11 Citations
2,944 Views
21 Pages

28 December 2021

Multi-source data remote sensing provides innovative technical support for tree species recognition. Tree species recognition is relatively poor despite noteworthy advancements in image fusion methods because the features from multi-source data for e...

  • Article
  • Open Access
25 Citations
8,855 Views
23 Pages

31 March 2016

The algebraic multigrid (AMG) method is used to solve linear systems of equations on a series of progressively coarser grids and has recently attracted significant attention for image segmentation due to its high efficiency and robustness. In this pa...

  • Article
  • Open Access
2 Citations
1,651 Views
15 Pages

Enhanced Input-Doubling Method Leveraging Response Surface Linearization to Improve Classification Accuracy in Small Medical Data Processing

  • Ivan Izonin,
  • Roman Tkachenko,
  • Pavlo Yendyk,
  • Iryna Pliss,
  • Yevgeniy Bodyanskiy and
  • Michal Gregus

11 October 2024

Currently, the tasks of intelligent data analysis in medicine are becoming increasingly common. Existing artificial intelligence tools provide high effectiveness in solving these tasks when analyzing sufficiently large datasets. However, when there i...

  • Article
  • Open Access
4 Citations
2,401 Views
14 Pages

16 December 2022

The applications of computer networks are increasingly extensive, and networks can be remotely controlled and monitored. Cyber hackers can exploit vulnerabilities and steal crucial data or conduct remote surveillance through malicious programs. The f...

  • Article
  • Open Access
43 Citations
10,374 Views
16 Pages

Deep Learning Method for Recognition and Classification of Images from Video Recorders in Difficult Weather Conditions

  • Aleksey Osipov,
  • Ekaterina Pleshakova,
  • Sergey Gataullin,
  • Sergey Korchagin,
  • Mikhail Ivanov,
  • Anton Finogeev and
  • Vibhash Yadav

20 February 2022

The sustainable functioning of the transport system requires solving the problems of identifying and classifying road users in order to predict the likelihood of accidents and prevent abnormal or emergency situations. The emergence of unmanned vehicl...

  • Article
  • Open Access
52 Citations
6,475 Views
16 Pages

Subjective well-being is a comprehensive psychological indicator for measuring quality of life. Studies have found that emotional measurement methods and measurement accuracy are important for well-being-related research. Academic emotion is an emoti...

  • Article
  • Open Access
14 Citations
3,088 Views
18 Pages

A Systematic Classification Method for Grassland Community Division Using China’s ZY1-02D Hyperspectral Observations

  • Dandan Wei,
  • Kai Liu,
  • Chenchao Xiao,
  • Weiwei Sun,
  • Weiwei Liu,
  • Lidong Liu,
  • Xizhi Huang and
  • Chunyong Feng

5 August 2022

The main feature of grassland degradation is the change in the vegetation community structure. Hyperspectral-based grassland community identification is the basis and a prerequisite for large-area high-precision grassland degradation monitoring and m...

  • Article
  • Open Access
8 Citations
5,018 Views
15 Pages

17 October 2017

A novel localization method based on multiple signal classification (MUSIC) algorithm is proposed for positioning an electric dipole source in a confined underwater environment by using electric dipole-receiving antenna array. In this method, the bou...

  • Article
  • Open Access
14 Citations
2,655 Views
18 Pages

Design of Cascaded Diffractive Optical Elements for Optical Beam Shaping and Image Classification Using a Gradient Method

  • Daniil V. Soshnikov,
  • Leonid L. Doskolovich,
  • Georgy A. Motz,
  • Egor V. Byzov,
  • Evgeni A. Bezus,
  • Dmitry A. Bykov and
  • Albert A. Mingazov

We present a gradient method for designing cascaded diffractive optical elements (DOEs) consisting of several sequentially located phase DOEs. Using the unitarity property of the operator of light propagation through the cascaded DOE, we obtain expli...

  • Article
  • Open Access
23 Citations
3,979 Views
20 Pages

The increasing incidence of epilepsy has led to the need for automatic systems that can provide accurate diagnoses in order to improve the life quality of people suffering from this neurological disorder. This paper proposes a method to automatically...

  • Article
  • Open Access
28 Citations
4,804 Views
21 Pages

10 February 2020

An artificial neural network (ANN) is a tool that can be utilized to recognize cancer effectively. Nowadays, the risk of cancer is increasing dramatically all over the world. Detecting cancer is very difficult due to a lack of data. Proper data are e...

  • Article
  • Open Access
2 Citations
663 Views
23 Pages

27 June 2025

The strong heterogeneity of carbonate reservoirs poses significant technical challenges in reservoir classification and permeability evaluation. This study proposes a new method for reservoir classification based on nuclear magnetic resonance (NMR) l...

  • Article
  • Open Access
8 Citations
3,017 Views
11 Pages

10 May 2019

A novel sparse representation classification method (SRC), namly SRC based on Method of Optimal Directions (SRC_MOD), is proposed for electronic nose system in this paper. By finding both a synthesis dictionary and a corresponding coefficient vector,...

  • Article
  • Open Access
3 Citations
1,380 Views
25 Pages

Random Generalized Additive Logistic Forest: A Novel Ensemble Method for Robust Binary Classification

  • Oyebayo Ridwan Olaniran,
  • Ali Rashash R. Alzahrani,
  • Nada MohammedSaeed Alharbi and
  • Asma Ahmad Alzahrani

7 April 2025

Ensemble methods have proven highly effective in enhancing predictive performance by combining multiple models. We introduce a novel ensemble approach, the Random Generalized Additive Logistic Forest (RGALF), which integrates generalized additive mod...

  • Article
  • Open Access
57 Citations
6,647 Views
16 Pages

13 December 2016

In this study, a small leak detection method based on variational mode decomposition (VMD) and ambiguity correlation classification (ACC) is proposed. The signals acquired from sensors were decomposed using the VMD, and numerous components were obtai...

  • Article
  • Open Access
8 Citations
4,495 Views
29 Pages

Benchmarking Analysis of the Accuracy of Classification Methods Related to Entropy

  • Yolanda Orenes,
  • Alejandro Rabasa,
  • Jesus Javier Rodriguez-Sala and
  • Joaquin Sanchez-Soriano

1 July 2021

In the machine learning literature we can find numerous methods to solve classification problems. We propose two new performance measures to analyze such methods. These measures are defined by using the concept of proportional reduction of classifica...

  • Review
  • Open Access
394 Citations
33,578 Views
25 Pages

19 September 2017

Land cover classification of Landsat images is one of the most important applications developed from Earth observation satellites. The last four decades were marked by different developments in land cover classification methods of Landsat images. Thi...

  • Article
  • Open Access
16 Citations
6,080 Views
12 Pages

17 October 2023

Selecting training samples is crucial in remote sensing image classification. In this paper, we selected three images—Sentinel-2, GF-1, and Landsat 8—and employed three methods for selecting training samples: grouping selection, entropy-b...

  • Article
  • Open Access
1 Citations
1,783 Views
21 Pages

13 October 2023

Imbalanced data are ubiquitous in many real-world applications, and they have drawn a significant amount of attention in the field of data mining. A variety of methods have been proposed for imbalanced data classification, and data sampling methods a...

  • Technical Note
  • Open Access
9 Citations
2,507 Views
22 Pages

26 June 2023

Debris flows can damage infrastructure and threaten human life and property safety, especially in tourist attractions. Therefore, it is crucial to classify and evaluate the risk of debris flows. This article takes 14 debris flows in Longmenshan Town,...

  • Feature Paper
  • Article
  • Open Access
1 Citations
1,753 Views
15 Pages

14 September 2024

The deployment of photovoltaic (PV) systems has increased globally to meet renewable energy targets. Intermittent PV power generated due to cloud-induced variability introduces reliability and grid stability issues at higher penetration levels. Varia...

  • Article
  • Open Access
4 Citations
3,418 Views
20 Pages

11 May 2024

The interconnection of Operational Technology (OT) and Information Technology (IT) has created new opportunities for remote management, data storage in the cloud, real-time data transfer over long distances, or integration between different OT and IT...

  • Article
  • Open Access
136 Citations
26,000 Views
47 Pages

Machine and deep learning have proven their utility to generate data-driven models with high accuracy and precision. However, their non-linear, complex structures are often difficult to interpret. Consequently, many scholars have developed a plethora...

  • Review
  • Open Access
11 Citations
4,880 Views
31 Pages

16 January 2024

The OSI model used to be a common network model for years. In the case of ad hoc networks with dynamic topology and difficult radio communications conditions, gradual departure is happening from the classical kind of OSI network model with a clear de...

  • Article
  • Open Access
126 Citations
5,776 Views
15 Pages

A Few Shot Classification Methods Based on Multiscale Relational Networks

  • Wenfeng Zheng,
  • Xia Tian,
  • Bo Yang,
  • Shan Liu,
  • Yueming Ding,
  • Jiawei Tian and
  • Lirong Yin

17 April 2022

Learning information from a single or a few samples is called few-shot learning. This learning method will solve deep learning’s dependence on a large sample. Deep learning achieves few-shot learning through meta-learning: “how to learn b...

  • Review
  • Open Access
43 Citations
9,159 Views
23 Pages

13 May 2024

Timely and accurate information on tree species is of great importance for the sustainable management of natural resources, forest inventory, biodiversity detection, and carbon stock calculation. The advancement of remote sensing technology and artif...

  • Article
  • Open Access
43 Citations
5,427 Views
13 Pages

An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets

  • Nicole Dalia Cilia,
  • Claudio De Stefano,
  • Francesco Fontanella,
  • Stefano Raimondo and
  • Alessandra Scotto di Freca

10 March 2019

In the last decade, there has been a growing scientific interest in the analysis of DNA microarray datasets, which have been widely used in basic and translational cancer research. The application fields include both the identification of oncological...

  • Article
  • Open Access
17 Citations
4,053 Views
13 Pages

28 February 2022

As a research hotspot in the field of natural language processing (NLP), sentiment analysis can be roughly divided into explicit sentiment analysis and implicit sentiment analysis. However, due to the lack of obvious emotion words in the implicit sen...

  • Article
  • Open Access
17 Citations
4,436 Views
24 Pages

20 April 2023

Landslide susceptibility maps are widely used in land management and urban planning to delimit potentially problematic areas. In this article we improve their reliability by acting on the frequency ratio method and map classification systems. For the...

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