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

71 Results Found

  • Article
  • Open Access
9 Citations
4,017 Views
20 Pages

28 March 2021

Stress is the crucial factor of ferromagnetic material failure origin. However, the nondestructive test methods to analyze the ferromagnetic material properties’ inhomogeneity on the microscopic scale with stress have not been obtained so far. In thi...

(This article belongs to the Special Issue Magnetic Sensors and Systems for Scientific and Industrial Applications)
  • Article
  • Open Access
16 Citations
2,020 Views
9 Pages

Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial

  • David C. Newitt,
  • Ghoncheh Amouzandeh,
  • Savannah C. Partridge,
  • Helga S. Marques and ,
  • Benjamin A. Herman,
  • Brian D. Ross,
  • Nola M. Hylton,
  • Thomas L. Chenevert and
  • Dariya I. Malyarenko
  • + 4 authors+ 0 author

1 June 2020

Mean tumor apparent diffusion coefficient (ADC) of breast cancer showed excellent repeatability but only moderate predictive power for breast cancer therapy response in the ACRIN 6698 multicenter imaging trial. Previous single-center studies have sho...

  • Article
  • Open Access
923 Views
11 Pages

25 January 2026

Background/Objectives: Red blood cell (RBC) transfusion is frequently used to treat anemia of prematurity, yet bedside metrics that capture its short-term impact on oxygenation stability are limited. We assessed whether pulse oximetry histogram-deriv...

(This article belongs to the Special Issue Advances in Intensive Care for Critically Ill Neonates: Clinical Diagnosis and Treatment (Second Edition))
  • Article
  • Open Access
6 Citations
1,277 Views
10 Pages

1 December 2018

Multiple sclerosis (MS) is a progressive neurodegenerative disease, affecting 1 million Americans and 2.5 million people globally. Although the diagnosis is made clinically, imaging plays a major role in diagnosing and monitoring disease progression...

  • Article
  • Open Access
5 Citations
3,274 Views
22 Pages

rStaple: A Robust Complementary Learning Method for Real-Time Object Tracking

  • Wangpeng He,
  • Heyi Li,
  • Wei Liu,
  • Cheng Li and
  • Baolong Guo

26 April 2020

Object tracking is a challenging research task because of drastic appearance changes of the target and a lack of training samples. Most online learning trackers are hampered by complications, e.g., drifting problem under occlusion, being out of view,...

(This article belongs to the Special Issue Advanced Intelligent Imaging Technology Ⅱ)
  • Article
  • Open Access
607 Views
25 Pages

Controllable Symbolic Music Generation via Stage-Aware Style Routing and Differentiable Melody Regularization

  • Xuanfei Zhou,
  • Yinxuan Huang,
  • Sining Han,
  • Jiangyao Bai and ,
  • Qianzhen Zhang,
  • Lailong Luo and
  • Chen Wang
  • + 2 authors+ 0 author

Controllable symbolic music generation must preserve a reference melody while remaining responsive to style prompts. Existing hierarchical diffusion systems typically reuse a shared condition vector across harmony, rhythm, and timbre stages, which ca...

(This article belongs to the Section Information Applications)
  • Article
  • Open Access
6 Citations
5,680 Views
25 Pages

Real-Time Object Tracking via Adaptive Correlation Filters

  • Chenjie Du,
  • Mengyang Lan,
  • Mingyu Gao,
  • Zhekang Dong and ,
  • Haibin Yu and
  • Zhiwei He
  • + 1 author+ 0 author

24 July 2020

Although correlation filter-based trackers (CFTs) have made great achievements on both robustness and accuracy, the performance of trackers can still be improved, because most of the existing trackers use either a sole filter template or fixed featur...

(This article belongs to the Section Intelligent Sensors)
  • Article
  • Open Access
6 Citations
2,740 Views
16 Pages

A Real-Time Energy Response Correction Method for Cs3Cu2I5:Tl Scintillating Dosimeter

  • Jiaming Li,
  • Leilei Zhang,
  • Jiaqi Wang,
  • Hengyi Su and ,
  • Zungang Wang and
  • Zhiyuan Li
  • + 1 author+ 0 author

2 November 2023

The uneven energy response of radiation detectors severely limits the accuracy of the dose rate meter used for radiation protection. Currently widely used in dose rate meters as a physical method of setting shielding compensation, the energy response...

(This article belongs to the Special Issue Advances in Particle Detectors and Radiation Detectors)
  • Article
  • Open Access
2 Citations
3,888 Views
15 Pages

23 August 2019

Image registration is a spatial alignment of corresponding images of the same scene acquired from different views, sensors, and time intervals. Especially, satellite image registration is a challenging task due to the high resolution of images. In ad...

(This article belongs to the Section Earth Sciences)
  • Article
  • Open Access
2 Citations
3,469 Views
13 Pages

Automatic Prediction and Assessment of Treatment Response in Patients with Hodgkin’s Lymphoma Using a Whole-Body DW-MRI Based Approach

  • Valentina Brancato,
  • Marco Aiello,
  • Roberta Della Pepa,
  • Luca Basso and ,
  • Nunzia Garbino,
  • Emanuele Nicolai,
  • Marco Picardi,
  • Marco Salvatore and
  • Carlo Cavaliere
  • + 4 authors+ 0 author

16 September 2020

The lack of validation and standardization represents the main drawback for a clear role of whole-body diffusion weighted imaging (WB-DWI) for prediction and assessment of treatment response in Hodgkin’s lymphoma (HL). We explored the reliability of...

(This article belongs to the Special Issue Whole Body MRI: Major Advances and Future Perspective)
  • Article
  • Open Access
4 Citations
4,019 Views
21 Pages

Autofocus Entropy Repositioning Method Bioinspired in the Magnetic Field Memory of the Bees Applied to Pollination

  • Daniel de Matos Luna dos Santos,
  • Ewaldo Eder Carvalho Santana,
  • Paulo Fernandes da Silva Junior,
  • Jonathan Araujo Queiroz and ,
  • João Viana da Fonseca Neto,
  • Allan Kardec Barros,
  • Carlos Augusto de Moraes Cruz,
  • Viviane S. de Aquino,
  • Luís S. O. de Castro and
  • Paulo Henrique da Fonseca Silva
  • + 6 authors+ 1 author

16 September 2021

In this paper, a bioinspired method in the magnetic field memory of the bees, applied in a rover of precision pollination, is presented. The method calculates sharpness features by entropy and variance of the Laplacian of images segmented by color in...

(This article belongs to the Section Sensors and Robotics)
  • Article
  • Open Access
1,366 Views
20 Pages

Fast Thermal Monitoring of Pulsed Laser Cleaning Processes

  • Emiliia Saprykina,
  • Jiří Martan,
  • Denys Moskal,
  • Milan Honner and ,
  • Šimon Lintimer,
  • Maliha Hussain,
  • Rostislav Medlín,
  • Petra Honnerová and
  • Vladislav Lang
  • + 4 authors+ 0 author

Current manual laser cleaning methods often require highly skilled operators to achieve fast and reliable cleaning. This study investigated the feasibility of measuring thermal processes during laser metal cleaning to support the development of an au...

(This article belongs to the Special Issue Advanced Surface Engineering Processes in Micro/Nano-Manufacturing)
  • Article
  • Open Access
14 Citations
3,728 Views
12 Pages

Artificial Intelligence-Assisted Terahertz Imaging for Rapid and Label-Free Identification of Efficient Light Formula in Laser Therapy

  • Jia Shi,
  • Zekang Guo,
  • Hongli Chen,
  • Zhitao Xiao and ,
  • Hua Bai,
  • Xiuyan Li,
  • Pingjuan Niu and
  • Jianquan Yao
  • + 3 authors+ 0 author

5 October 2022

Photodynamic therapy (PDT) is considered a promising noninvasive therapeutic strategy in biomedicine, especially by utilizing low-level laser therapy (LLLT) in visible and near-infrared spectra to trigger biological responses. The major challenge of...

(This article belongs to the Section Optical and Photonic Biosensors)
  • Article
  • Open Access
2 Citations
6,508 Views
9 Pages

Growth Mechanisms of CdS Nanocrystals in Aqueous Media

  • Loredana Latterini and
  • Alessandro Iagatti

6 June 2012

CdS nanocrystals were prepared in water-in-oil microemulsions. The nanocrystal properties, absorption and luminescence spectra and size distributions, were monitored at different times after mixing the microemulsions of the two precursors to obtain i...

  • Proceeding Paper
  • Open Access
1 Citations
1,130 Views
12 Pages

In digital signal processing, the finite impulse response (FIR) filter is a fundamental tool for processing discrete-time signals. This paper explores the implementation of FIR filters using quantum computation methods. In this study, a quantum circu...

(This article belongs to the Proceedings of The 7th Eurasia Conference on IoT, Communication and Engineering 2025 (ECICE 2025))
  • Article
  • Open Access
16 Citations
6,966 Views
37 Pages

Influence of Compartment Fire Behavior at Ignition and Combustion Development Stages on the Operation of Fire Detectors

  • Alena Zhdanova,
  • Roman Volkov,
  • Aleksandr Sviridenko,
  • Geniy Kuznetsov and
  • Pavel Strizhak

17 June 2022

This paper presents experimental research findings for those involved in the early phase of fire in office buildings. Class A model fires with a reaction area from 5 cm2 to 300 cm2 were chosen for investigation. To mock up a fire, the following combu...

(This article belongs to the Special Issue Pyrolysis, Ignition, Combustion and Fire Spread of Combustible Materials)
  • Article
  • Open Access
37 Citations
6,341 Views
16 Pages

A Real-Time Weed Mapping and Precision Herbicide Spraying System for Row Crops

  • Yanlei Xu,
  • Zongmei Gao,
  • Lav Khot,
  • Xiaotian Meng and
  • Qin Zhang

3 December 2018

This study developed and field tested an automated weed mapping and variable-rate herbicide spraying (VRHS) system for row crops. Weed detection was performed through a machine vision sub-system that used a custom threshold segmentation method, an im...

(This article belongs to the Section Remote Sensors)
  • Article
  • Open Access
23 Citations
3,842 Views
39 Pages

28 December 2022

U-statistics are a fundamental class of statistics derived from modeling quantities of interest characterized by responses from multiple subjects. U-statistics make generalizations the empirical mean of a random variable X to the sum of all k-tuples...

(This article belongs to the Section D1: Probability and Statistics)
  • Article
  • Open Access
6 Citations
7,296 Views
18 Pages

Characterizing Normal and Tumour Blood Microcirculatory Systems Using Optical Coherence Tomography

  • Héctor A. Contreras-Sánchez,
  • William Jeffrey Zabel,
  • Costel Flueraru,
  • Lothar Lilge and ,
  • Edward Taylor and
  • Alex Vitkin
  • + 1 author+ 0 author

21 September 2024

Blood vessels transport blood and deliver essential molecules to cells. In cancer, the tumour vasculature evolves very differently from healthy tissue, not only in morphology but also in functionality. Comprehensive 3D in vivo imaging of the tumour m...

(This article belongs to the Special Issue OCT Technology Advances and Their Applications in Disease Studies)
  • Article
  • Open Access
19 Citations
5,072 Views
19 Pages

Real-Time Algal Monitoring Using Novel Machine Learning Approaches

  • Seyit Uguz,
  • Yavuz Selim Sahin,
  • Pradeep Kumar,
  • Xufei Yang and
  • Gary Anderson

Monitoring algal growth rates and estimating microalgae concentration in photobioreactor systems are critical for optimizing production efficiency. Traditional methods—such as microscopy, fluorescence, flow cytometry, spectroscopy, and macrosco...

  • Article
  • Open Access
2 Citations
4,323 Views
16 Pages

A Study on the Simple Encryption of QR Codes Using Random Numbers

  • Iori Okubo,
  • Seiya Ono,
  • Hyun-Woo Kim,
  • Myungjin Cho and
  • Min-Chul Lee

Recently, with the widespread adoption of quick response (QR) code payments, there have been incidents of unauthorized use of QR codes presented at the time of payment, due to theft or duplication. As a countermeasure, conventional QR code payment sy...

(This article belongs to the Special Issue Computational Imaging and Its Application)
  • Article
  • Open Access
9 Citations
4,207 Views
13 Pages

Development of an Immunocapture-Based Polymeric Optical Fiber Sensor for Bacterial Detection in Water

  • Rafaela Nascimento Lopes,
  • Paulo Henrique Silva Pinto,
  • Juan David Lopez Vargas,
  • Alex Dante and ,
  • Andrew Macrae,
  • Regina Célia Barros Allil and
  • Marcelo Martins Werneck
  • + 2 authors+ 0 author

21 March 2024

Conventional methods for pathogen detection in water rely on time-consuming enrichment steps followed by biochemical identification strategies, which require assay times ranging from 24 hours to a week. However, in recent years, significant efforts h...

(This article belongs to the Special Issue Polymeric Biosensors: Fabrication, Characterization, and Applications)
  • Article
  • Open Access
432 Views
21 Pages

Trajectory-Guided Photon Accumulation for Photon-Efficient LiDAR Remote Sensing in Low-SBR Dynamic Scenes

  • Rui He,
  • Sining Li,
  • Xin Zhou,
  • Haoyang Zhang and ,
  • Hongchao Ni and
  • Jianfeng Sun
  • + 1 author+ 0 author

4 September 2026

Photon-efficient LiDAR provides an active remote sensing pathway for long-range, low-light three-dimensional observation, but photon-limited reconstruction remains difficult when background events dominate sparse returns. In dynamic scenes, line-of-s...

(This article belongs to the Special Issue Hyperspectral and LiDAR Techniques for Earth Observation Applications: Advances in Theory, Algorithms, and Engineering Practice)
  • Article
  • Open Access
90 Citations
15,259 Views
28 Pages

27 August 2018

Nowadays, small and medium sized enterprises (SMEs) are becoming increasingly competitive. In order to fulfill the rapidly changing market and diversified demands of customers, the SMEs need to achieve and maintain high productivity and quality, with...

(This article belongs to the Special Issue Modelling and Analysis of Sustainability Related Issues in New Era)
  • Article
  • Open Access
140 Citations
22,975 Views
19 Pages

Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine

  • Kel N. Markert,
  • Amanda M. Markert,
  • Timothy Mayer,
  • Claire Nauman and ,
  • Arjen Haag,
  • Ate Poortinga,
  • Biplov Bhandari,
  • Nyein Soe Thwal,
  • Thannarot Kunlamai and
  • David Saah
  • + 10 authors+ 5 authors

1 August 2020

Satellite remote sensing plays an important role in the monitoring of surface water for historical analysis and near real-time applications. Due to its cloud penetrating capability, many studies have focused on providing efficient and high quality me...

(This article belongs to the Special Issue Google Earth Engine and Cloud Computing Platforms: Methods and Applications in Big Geo Data Science)
  • Article
  • Open Access
6 Citations
2,405 Views
34 Pages

A rapid identification of oil would facilitate a prompt response and efficient removal in the event of an oil spill. Traditional chemical methods in oil fingerprinting have limitations in terms of both time and cost. This study considers machine lear...

(This article belongs to the Section Marine Environmental Science)
  • Article
  • Open Access
14 Citations
3,926 Views
17 Pages

Nerve Wrap for Local Delivery of FK506/Tacrolimus Accelerates Nerve Regeneration

  • Bo Xiao,
  • Firuz Feturi,
  • An-Jey A. Su,
  • Yolandi Van der Merwe and ,
  • Joshua M. Barnett,
  • Kayvon Jabbari,
  • Neil J. Khatter,
  • Bing Li,
  • Evan B. Katzel and
  • Kia M. Washington
  • + 10 authors+ 5 authors

Peripheral nerve injuries (PNIs) occur frequently and can lead to devastating and permanent sensory and motor function disabilities. Systemic tacrolimus (FK506) administration has been shown to hasten recovery and improve functional outcomes after PN...

(This article belongs to the Special Issue Recent Advances in Biopolymer Composites)
  • Article
  • Open Access
4 Citations
3,469 Views
18 Pages

12 January 2021

Affinity propagation (AP) clustering with low complexity and high performance is suitable for radio remote head (RRH) clustering for real-time joint transmission in the cloud radio access network. The existing AP algorithms for joint transmission hav...

(This article belongs to the Section Internet of Things)
  • Article
  • Open Access
8 Citations
1,804 Views
21 Pages

Non-intrusive load monitoring (NILM) can provide actionable feedback for demand response (DR) when direct measurements of device states are unavailable. We propose a reproducible, engineering-oriented pipeline for detecting ON/OFF states of end-use l...

  • Communication
  • Open Access
13 Citations
4,233 Views
20 Pages

Fast Registration Algorithm for Laser Point Cloud Based on 3D-SIFT Features

  • Lihong Yang,
  • Shunqin Xu,
  • Zhiqiang Yang,
  • Jia He and ,
  • Lei Gong,
  • Wanjun Wang,
  • Yao Li,
  • Liguo Wang and
  • Zhili Chen
  • + 4 authors+ 0 author

22 January 2025

In response to the issues of slow convergence and the tendency to fall into local optima in traditional iterative closest point (ICP) point cloud registration algorithms, this study presents a fast registration algorithm for laser point clouds based...

(This article belongs to the Section Sensing and Imaging)
  • Feature Paper
  • Article
  • Open Access
8 Citations
4,028 Views
16 Pages

Specialized procedures to help in the emergency response situations following ship accidents have been under development by the Classification Societies. Such procedures consider the hull-girder collapse as the most important failure mode, without th...

(This article belongs to the Special Issue Ship Structures)
  • Article
  • Open Access
27 Citations
4,493 Views
12 Pages

Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy

  • Wen Li,
  • Nu N. Le,
  • Natsuko Onishi,
  • David C. Newitt and ,
  • Lisa J. Wilmes,
  • Jessica E. Gibbs,
  • Julia Carmona-Bozo,
  • Jiachao Liang,
  • Savannah C. Partridge and
  • Nola M. Hylton
  • + 15 authors+ 10 authors

13 September 2022

This study tested the hypothesis that a change in the apparent diffusion coefficient (ADC) measured in diffusion-weighted MRI (DWI) is an independent imaging marker, and ADC performs better than functional tumor volume (FTV) for assessing treatment r...

(This article belongs to the Special Issue Precision Medicine in Breast Cancer Treatment)
  • Article
  • Open Access
7 Citations
1,943 Views
9 Pages

Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy

  • John Virostko,
  • Anna G. Sorace,
  • Chengyue Wu,
  • David Ekrut and ,
  • Angela M. Jarrett,
  • Raghave M. Upadhyaya,
  • Sarah Avery,
  • Debra Patt,
  • Boone Goodgame and
  • Thomas E. Yankeelov
  • + 5 authors+ 0 author

Repeatability and reproducibility of magnetization transfer magnetic resonance imaging of the breast, and the ability of this technique to assess the response of locally advanced breast cancer to neoadjuvant therapy (NAT), are determined. Reproducibi...

  • Article
  • Open Access
3 Citations
1,072 Views
29 Pages

23 July 2026

Time-reversed Young (TRY) interferometry reconstructs interference from a fixed detector by reading out a programmable source-label distribution. This work formulates the architecture as a source-coded Bayesian response sensor. For a perturbation par...

(This article belongs to the Section Optical Sensors)
  • Article
  • Open Access
1 Citations
1,474 Views
18 Pages

Asymmetry Elliptical Likelihood Potential Field for Real-Time Three-Dimensional Collision Avoidance in Industrial Robots

  • Ean-Gyu Han,
  • Dong-Min Seo,
  • Jun-Seo Lee,
  • Ho-Young Kim and ,
  • Shin-Yeob Kang,
  • Ho-Joon Yang and
  • Tae-Koo Kang
  • + 2 authors+ 0 author

Industrial robots play a crucial role in modern manufacturing, but ensuring safe human–robot collaboration remains a challenge. Traditional collision avoidance methods, such as physical barriers and emergency stops, are limited in efficiency an...

(This article belongs to the Special Issue Machine/Deep Learning Applications and Intelligent Systems)
  • Article
  • Open Access
6 Citations
3,293 Views
17 Pages

Deep Learning for Delineation of the Spinal Canal in Whole-Body Diffusion-Weighted Imaging: Normalising Inter- and Intra-Patient Intensity Signal in Multi-Centre Datasets

  • Antonio Candito,
  • Richard Holbrey,
  • Ana Ribeiro,
  • Christina Messiou and ,
  • Nina Tunariu,
  • Dow-Mu Koh and
  • Matthew D. Blackledge
  • + 2 authors+ 0 author

Background: Whole-Body Diffusion-Weighted Imaging (WBDWI) is an established technique for staging and evaluating treatment response in patients with multiple myeloma (MM) and advanced prostate cancer (APC). However, WBDWI scans show inter- and intra-...

(This article belongs to the Special Issue Artificial Intelligence in Medical Image Processing and Segmentation, 2nd Edition)
  • Article
  • Open Access
15 Citations
1,711 Views
30 Pages

16 August 2025

Facial emotion recognition has become increasingly important in healthcare, where understanding delicate cues like pain, discomfort, or unconsciousness can support more timely and responsive care. Yet, recognizing facial expressions in real-world set...

(This article belongs to the Special Issue Recent Advances and Applications of Machine Learning in Pattern Recognition)
  • Article
  • Open Access
7 Citations
4,272 Views
19 Pages

22 October 2022

The infectious coronavirus disease-19 (COVID-19) is a viral disease that affects the lungs, which caused great havoc when the epidemic rapidly spread around the world. Polymerase chain reaction (PCR) tests are conducted to screen for COVID-19 and res...

(This article belongs to the Special Issue Applications of Deep Learning and Artificial Intelligence Methods)
  • Article
  • Open Access
19 Citations
9,118 Views
18 Pages

14 November 2017

Retinal vessel segmentation is one of the preliminary tasks for developing diagnosis software systems related to various retinal diseases. In this study, a fully automated vessel segmentation system is proposed. Firstly, the vessels are enhanced usin...

  • Article
  • Open Access
121 Citations
17,030 Views
33 Pages

Image-Based Coral Reef Classification and Thematic Mapping

  • A.S.M. Shihavuddin,
  • Nuno Gracias,
  • Rafael Garcia,
  • Arthur C. R. Gleason and
  • Brooke Gintert

15 April 2013

This paper presents a novel image classification scheme for benthic coral reef images that can be applied to both single image and composite mosaic datasets. The proposed method can be configured to the characteristics (e.g., the size of the dataset,...

(This article belongs to the Special Issue Remote Sensing for Understanding Coral Reef Dynamics and Processes: Photo-Systems to Coral Reef Systems)
  • Review
  • Open Access
3 Citations
4,268 Views
32 Pages

Detecting Wear and Tear in Pedestrian Crossings Using Computer Vision Techniques: Approaches, Challenges, and Opportunities

  • Gonçalo J. M. Rosa,
  • João M. S. Afonso,
  • Pedro D. Gaspar,
  • Vasco N. G. J. Soares and
  • João M. L. P. Caldeira

20 March 2024

Pedestrian crossings are an essential part of the urban landscape, providing safe passage for pedestrians to cross busy streets. While some are regulated by timed signals and are marked with signs and lights, others are simply marked on the road and...

(This article belongs to the Section Wireless Technologies)
  • Article
  • Open Access
606 Views
14 Pages

21 June 2026

Ovarian cancer is a gynecological cancer, which, if metastasized and not detected early, can cause death among women. Therefore, accurate prediction of drug responses to ovarian cancer is needed. A gynecological pathologist inspects abnormality in ti...

(This article belongs to the Special Issue Machine Learning and Computational Methods in Bioinformatics and Biology)
  • Article
  • Open Access
8 Citations
6,911 Views
10 Pages

27 May 2017

This paper is about the design, implementation, and deployment of a multi-modal biometric system to grant access to a company structure and to internal zones in the company itself. Face and iris have been chosen as biometric traits. Face is feasible...

(This article belongs to the Special Issue Data Compression, Communication Processing and Security 2016)
  • Article
  • Open Access
439 Views
24 Pages

Virtual reality (VR) provides an effective experimental environment for the controlled investigation of autonomic physiological responses under different levels of virtual immersion. This study investigated heart rate variability (HRV) responses to m...

  • Article
  • Open Access
64 Citations
18,556 Views
15 Pages

Real-Time Forest Fire Detection Framework Based on Artificial Intelligence Using Color Probability Model and Motion Feature Analysis

  • Wahyono,
  • Agus Harjoko,
  • Andi Dharmawan,
  • Faisal Dharma Adhinata and ,
  • Gamma Kosala and
  • Kang-Hyun Jo
  • + 1 author+ 0 author

12 February 2022

As part of the early warning system, forest fire detection has a critical role in detecting fire in a forest area to prevent damage to forest ecosystems. In this case, the speed of the detection process is the most critical factor to support a fast r...

(This article belongs to the Section Fire Science Models, Remote Sensing, and Data)
  • Article
  • Open Access
1,390 Views
27 Pages

5 May 2026

Rear-view human tracking and re-identification remain critical challenges for robotic visual sensing in unmanned vehicles, particularly under adverse weather conditions and severe occlusion. Conventional deep learning models often suffer from feature...

(This article belongs to the Section Sensors and Robotics)
  • Article
  • Open Access
398 Views
14 Pages

8 August 2026

Artificial light at night (ALAN) alters natural nocturnal environments and affects ecosystems, human health, and night sky visibility, while cloud cover strongly modulates night sky brightness (NSB) by enhancing or attenuating skyglow. This study inv...

(This article belongs to the Special Issue Light Pollution Across Disciplines)
  • Article
  • Open Access
1,263 Views
34 Pages

Kubernetes Horizontal Pod Autoscaler (HPA) primarily relies on resource-based metrics, such as CPU utilization, which are poorly suited to capturing the latency variability of AI inference workloads. In this paper, we propose a custom-metric-driven a...

(This article belongs to the Section Information and Communication Technologies)
  • Article
  • Open Access
9 Citations
5,061 Views
19 Pages

MAP-Vis: A Distributed Spatio-Temporal Big Data Visualization Framework Based on a Multi-Dimensional Aggregation Pyramid Model

  • Xuefeng Guan,
  • Chong Xie,
  • Linxu Han,
  • Yumei Zeng and ,
  • Dannan Shen and
  • Weiran Xing
  • + 1 author+ 0 author

14 January 2020

During the exploration and visualization of big spatio-temporal data, massive volume poses a number of challenges to the achievement of interactive visualization, including large memory consumption, high rendering delay, and poor visual effects. Rese...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
9 Citations
2,819 Views
14 Pages

Response of Population Canopy Color Gradation Skewed Distribution Parameters of the RGB Model to Micrometeorology Environment in Begonia Fimbristipula Hance

  • Pei Zhang,
  • Zhengmeng Chen,
  • Fuzheng Wang,
  • Rong Wang and ,
  • Tingting Bao,
  • Xiaoping Xie,
  • Ziyue An,
  • Xinxin Jian and
  • Chunwei Liu
  • + 4 authors+ 0 author

The high quality and efficient production of greenhouse vegetation depend on micrometeorology environmental adjusting such as system warming and illumination supplement. In order to improve the quantity, quality, and efficiency of greenhouse vegetati...

(This article belongs to the Special Issue Agrometeorology)

of 2