Skip to Content
You are currently on the new version of our website. Access the old version .

22 Results Found

  • Article
  • Open Access
28 Citations
8,036 Views
16 Pages

15 February 2016

The invasive taxa of Prosopis is rated the world’s top 100 unwanted species, and a lack of spatial data about the invasion dynamics has made the current control and monitoring methods unsuccessful. This study thus tests the use of in situ spectroscop...

(This article belongs to the Special Issue Field Spectroscopy and Radiometry)
  • Article
  • Open Access
3 Citations
3,023 Views
13 Pages

24 March 2022

This article explores a potential exploitation of fully polarimetric radar data for the management of rubber plantations, specifically for predicting tree circumference as a crucial information need for sustainable plantation management. Conventional...

(This article belongs to the Special Issue Applying Remotely Sensed Imagery in Natural Resource Management)
  • Article
  • Open Access
13 Citations
4,612 Views
23 Pages

Integrating the Strength of Multi-Date Sentinel-1 and -2 Datasets for Detecting Mango (Mangifera indica L.) Orchards in a Semi-Arid Environment in Zimbabwe

  • Bester Tawona Mudereri,
  • Elfatih M. Abdel-Rahman,
  • Shepard Ndlela,
  • Louisa Delfin Mutsa Makumbe and ,
  • Christabel Chiedza Nyanga,
  • Henri E. Z. Tonnang and
  • Samira A. Mohamed
  • + 2 authors+ 0 author

10 May 2022

Generating tree-specific crop maps within heterogeneous landscapes requires imagery of fine spatial and temporal resolutions to discriminate among the rapid transitions in tree phenological and spectral features. The availability of freely accessible...

  • Article
  • Open Access
404 Views
30 Pages

31 August 2026

Reliable prediction of monopile self-weight penetration depth is essential for drivability assessment and installation planning but remains challenging because of nonlinear pile–soil interaction and limited field data. This study compiles recor...

(This article belongs to the Special Issue Monitoring and Evaluation of Marine Engineering Equipment and Structures—2nd Edition)
  • Article
  • Open Access
1,089 Views
15 Pages

27 May 2026

Organic solar cells (OSCs) have emerged as a competitive alternative to conventional silicon-based photovoltaics for their inexpensive production, versatility, and reduced energy consumption. However, it is still challenging to accurately assess thei...

(This article belongs to the Special Issue Algorithms for Electrical and Electronic Engineering with a Focus on Renewable Energy Sources (2nd Edition))
  • Article
  • Open Access
47 Citations
6,858 Views
23 Pages

Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest

  • Edoardo Fiorillo,
  • Edmondo Di Giuseppe,
  • Giacomo Fontanelli and
  • Fabio Maselli

16 October 2020

In developing countries, information on the area and spatial distribution of paddy rice fields is an essential requirement for ensuring food security and facilitating targeted actions of both technical assistance and restoration of degraded productio...

  • Article
  • Open Access
1 Citations
1,717 Views
16 Pages

Integration of RNA Editing into Multiomics Machine Learning Models for Predicting Drug Responses in Breast Cancer Patients

  • Yanara A. Bernal,
  • Alejandro Blanco,
  • Karen Oróstica,
  • Iris Delgado and
  • Ricardo Armisén

Background: The integration of multi-omics data, such as genomics and transcriptomics, into artificial intelligence models has advanced precision medicine. However, their clinical applicability remains limited due to model complexity. We integrated D...

(This article belongs to the Special Issue Bioinformatics Analysis of RNA for Human Health and Disease)
  • Article
  • Open Access
671 Views
14 Pages

28 April 2026

In smart manufacturing, the injection molding industry faces a “data scarce environment” due to prohibitive physical trial costs. Processing recycled polypropylene (rPP) exacerbates this challenge, as traditional response surface methodol...

(This article belongs to the Section Applied Industrial Technologies)
  • Article
  • Open Access
61 Citations
8,344 Views
24 Pages

Estimation of Leaf Nitrogen Content in Rice Using Vegetation Indices and Feature Variable Optimization with Information Fusion of Multiple-Sensor Images from UAV

  • Sizhe Xu,
  • Xingang Xu,
  • Clive Blacker,
  • Rachel Gaulton and ,
  • Qingzhen Zhu,
  • Meng Yang,
  • Guijun Yang,
  • Jianmin Zhang,
  • Yongan Yang and
  • Liping Chen
  • + 8 authors+ 3 authors

3 February 2023

LNC (leaf nitrogen content) in crops is significant for diagnosing the crop growth status and guiding fertilization decisions. Currently, UAV (unmanned aerial vehicles) remote sensing has played an important role in estimating the nitrogen nutrition...

(This article belongs to the Topic Applications of Big Data and Machine Learning in Smart Agriculture)
  • Article
  • Open Access
34 Citations
7,837 Views
22 Pages

Cropping Pattern Mapping in an Agro-Natural Heterogeneous Landscape Using Sentinel-2 and Sentinel-1 Satellite Datasets

  • Grace Rebecca Aduvukha,
  • Elfatih M. Abdel-Rahman,
  • Arthur W. Sichangi,
  • Godfrey Ouma Makokha and ,
  • Tobias Landmann,
  • Bester Tawona Mudereri,
  • Henri E. Z. Tonnang and
  • Thomas Dubois
  • + 3 authors+ 0 author

The quantity of land covered by various crops in a specific time span, referred to as a cropping pattern, dictates the level of agricultural production. However, retrieval of this information at a landscape scale can be challenging, especially when h...

(This article belongs to the Section Agricultural Technology)
  • Article
  • Open Access
48 Citations
7,045 Views
17 Pages

Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques

  • Ali Hussain,
  • Hee-Eun Choi,
  • Hyo-Jung Kim,
  • Satyabrata Aich and ,
  • Muhammad Saqlain and
  • Hee-Cheol Kim
  • + 1 author+ 0 author

Preventing exacerbation and seeking to determine the severity of the disease during the hospitalization of chronic obstructive pulmonary disease (COPD) patients is a crucial global initiative for chronic obstructive lung disease (GOLD); this option i...

(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
  • Article
  • Open Access
19 Citations
4,237 Views
19 Pages

Material Extrusion Filament Width and Height Prediction via Design of Experiment and Machine Learning

  • Xiaoquan Shi,
  • Yazhou Sun,
  • Haiying Tian,
  • Puthanveettil Madathil Abhilash and ,
  • Xichun Luo and
  • Haitao Liu
  • + 1 author+ 0 author

12 November 2023

The dimensions of material extrusion 3D printing filaments play a pivotal role in determining processing resolution and efficiency and are influenced by processing parameters. This study focuses on four key process parameters, namely, nozzle diameter...

(This article belongs to the Section E: Engineering and Technology)
  • Article
  • Open Access
24 Citations
5,652 Views
16 Pages

Feature Selection Solution with High Dimensionality and Low-Sample Size for Land Cover Classification in Object-Based Image Analysis

  • Yaohuan Huang,
  • Chuanpeng Zhao,
  • Haijun Yang,
  • Xiaoyang Song and ,
  • Jie Chen and
  • Zhonghua Li
  • + 1 author+ 0 author

11 September 2017

Land cover information extraction through object-based image analysis (OBIA) has become an important trend in remote sensing, thanks to the increasing availability of high-resolution imagery. Segmented objects have a large number of features that cau...

(This article belongs to the Section Remote Sensing Image Processing)
  • Article
  • Open Access
442 Views
28 Pages

3 August 2026

Predicting the mechanical properties of bolted connection nodes in prefabricated Concrete-Filled Steel Tube (CFST) column–steel beam assemblies remains challenging due to complex nonlinear relationships, high degrees of parameter coupling, and...

(This article belongs to the Special Issue AI, Machine Learning and Optimization)
  • Article
  • Open Access
537 Views
25 Pages

Non-Temporal Environmental Factor-Driven Dissolved Oxygen Prediction via Physics-Informed Regression for Sustainable Environmental Monitoring

  • Lun Tan,
  • Sen Lin,
  • Xinran Li,
  • Qi Wang and ,
  • Qiang Zhao,
  • Lianjie Guo,
  • Wenzhen Zhang and
  • Wei Wang
  • + 3 authors+ 0 author

5 June 2026

Dissolved oxygen (DO) is a critical indicator for assessing marine ecological health and hypoxia risk. Most existing DO prediction studies rely on time-series forecasting models, which require continuous temporal observations and are often unreliable...

  • Article
  • Open Access
621 Views
17 Pages

Risk Factors for Postoperative Hemorrhage Following Thyroid Surgery: Results of a Case–Control Study and Development of a Stratified Risk Model Using Random Forest Analysis

  • Constantin Smaxwil,
  • Ali Naddaf,
  • Mirjam Busch,
  • Joachim Wagner and ,
  • Miriam Probst,
  • Katharina Schiffer,
  • Jasmin Al Hammoud,
  • Ulrike Valina,
  • Moritz Senne and
  • Andreas Zielke
  • + 10 authors+ 5 authors

9 July 2026

Background: Postoperative haemorrhage (POH) is a rare but potentially life-threatening complication of thyroid surgery, with an incidence of 0.6–4%. Early identification of patients at increased risk is critical to guide perioperative managemen...

(This article belongs to the Special Issue Thyroid Cancer: Diagnosis, Surgical Treatment and Postoperative Radioactive Iodine Therapy: 2nd Edition)
  • Article
  • Open Access
35 Citations
8,423 Views
22 Pages

18 October 2022

Banana (and plantain, Musa spp.), in sub-Saharan Africa (SSA), is predominantly grown as a mixed crop by smallholder farmers in backyards and small farmlands, typically ranging from 0.2 ha to 3 ha. The crop is affected by several pests and diseases,...

(This article belongs to the Special Issue Remote Sensing Applications in Vegetation Classification)
  • Article
  • Open Access
512 Views
23 Pages

Predicting BOD5 Removal Efficiency in a Constructed Wetland from Satellite and Meteorological Data Using Interpretable Machine Learning

  • Atila Bezdan,
  • Viola Somogyi,
  • Jasna Grabić,
  • Miško Milanović and ,
  • Nikola Stanković,
  • Öner Çetin,
  • Nodirbek Sarmonov and
  • Jovana Bezdan
  • + 3 authors+ 0 author

21 September 2026

Constructed wetlands (CWs) offer a low-cost and sustainable option for wastewater treatment, but their performance is commonly assessed through infrequent, periodic field sampling that yields temporally sparse records. This study evaluated whether fi...

  • Article
  • Open Access
2 Citations
2,013 Views
24 Pages

Machine Learning Prediction of Short Cervix in Mid-Pregnancy Based on Multimodal Data from the First-Trimester Screening Period: An Observational Study in a High-Risk Population

  • Shengyu Wu,
  • Jiaqi Dong,
  • Jifan Shi,
  • Xiaoxian Qu and ,
  • Yirong Bao,
  • Xiaoyuan Mao,
  • Mu Lv,
  • Xuan Chen and
  • Hao Ying
  • + 4 authors+ 0 author

Background: A short cervix in the second trimester significantly increases preterm birth risk, yet no reliable first-trimester prediction method exists. Current guidelines lack consensus on which women should undergo transvaginal ultrasound (TVUS) sc...

(This article belongs to the Topic Development of Diagnosis and Treatment Modalities in Obstetrics and Gynecology)
  • Article
  • Open Access
269 Views
23 Pages

Physics-Guided Dynamic Prediction and Intrinsic Interpretability of Substation Carbon-Emission Factors: A MOIRAI-2 and UPINN Fusion Framework

  • Jingbo Song,
  • Chen Chen,
  • Song Wang,
  • Liang Zhang and ,
  • Han Yao and
  • Tongchui Liu
  • + 1 author+ 0 author

19 September 2026

Substation-level carbon-emission factors (CEFs) are operationally relevant because substations concentrate transformer losses, auxiliary consumption, and sulfur hexafluoride (SF6) leakage at the interface between transmission and distribution. Howeve...

(This article belongs to the Section AI-Driven Innovations)
  • Article
  • Open Access
947 Views
27 Pages

ML-Driven Decision Support for Dynamic Modeling of Calcareous Sands

  • Abdalla Y. Almarzooqi,
  • Mohamed G. Arab,
  • Maher Omar and
  • Emran Alotaibi

Dynamic characterization of calcareous (carbonate) sands is essential for performance-based design of offshore foundations, coastal reclamation, and marine infrastructure in tropical and subtropical regions. In contrast to silica sands, carbonate sed...

  • Article
  • Open Access
317 Views
47 Pages

Behavioral Financial Signals and Explainable AI in Credit Risk Assessment: Evidence from Utility Arrears and Gambling Activity

  • Shynara Sarkambayeva,
  • Aliya Turegeldinova,
  • Marat Sultangaziyev,
  • Yerkezhan Mussabayeva and
  • Satyanand Singh

Traditional consumer credit scoring models frequently fail to identify rising default risks in transition economies because they rely almost exclusively on formal macroeconomic indicators and unchanging demographic data. This paper offers a prelimina...

(This article belongs to the Special Issue Behavioral Factors and Risk-Taking in Financial Markets)