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Journal articles on the topic 'Chokepoint dataset'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Koo, Ja Hyung, Se Woon Cho, Na Rae Baek, and Kang Ryoung Park. "Face and Body-Based Human Recognition by GAN-Based Blur Restoration." Sensors 20, no. 18 (2020): 5229. http://dx.doi.org/10.3390/s20185229.

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The long-distance recognition methods in indoor environments are commonly divided into two categories, namely face recognition and face and body recognition. Cameras are typically installed on ceilings for face recognition. Hence, it is difficult to obtain a front image of an individual. Therefore, in many studies, the face and body information of an individual are combined. However, the distance between the camera and an individual is closer in indoor environments than that in outdoor environments. Therefore, face information is distorted due to motion blur. Several studies have examined debl

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2

Aulicino, Giuseppe, Antonino Ian Ferola, Laura Fortunato, et al. "Expendable bathythermograph (XBT) data collected along the Southern Ocean chokepoint between Aotearoa / New Zealand and Antarctica, 1994–2024." Earth System Science Data 17, no. 6 (2025): 2625–40. https://doi.org/10.5194/essd-17-2625-2025.

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Abstract. This study presents the water column temperature data collected during several cruises on board the Italica, Araon, and Laura Bassi research vessels in the framework of the Climatic Long-term Interaction for the Mass balance in Antarctica (CLIMA), Southern Ocean Chokepoints Italian Contribution (SOChIC), and Marine Observatory of the Ross Sea (MORSea) projects funded by the Italian National Antarctic Research Program (PNRA). Data were collected between Aotearoa / New Zealand and the Ross Sea during the austral summers from 1994/1995 to 2023/2024. Across this chokepoint of the Antarct

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3

Koo, Ja Hyung, Se Woon Cho, Na Rae Baek, and Kang Ryoung Park. "Multimodal Human Recognition in Significantly Low Illumination Environment Using Modified EnlightenGAN." Mathematics 9, no. 16 (2021): 1934. http://dx.doi.org/10.3390/math9161934.

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Human recognition in indoor environments occurs both during the day and at night. During the day, human recognition encounters performance degradation owing to a blur generated when a camera captures a person’s image. However, when images are captured at night with a camera, it is difficult to obtain perfect images of a person without light, and the input images are very noisy owing to the properties of camera sensors in low-illumination environments. Studies have been conducted in the past on face recognition in low-illumination environments; however, there is lack of research on face- and bo

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4

Ushasukhanya, S., and S. Jothilakshmi. "Optimization of Regional - Convolutional Neural Network for Electricity Conservation Using Arduino." Webology 18, SI01 (2021): 32–46. http://dx.doi.org/10.14704/web/v18si01/web18005.

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The demand for electrical energy in developing countries is apparently increasing thereby creating a large gap between the availability of the electrical resource and its growing demand. Globally reputed energy economists have recognized that 25% of reduction in energy consumption can be achieved by adopting efficient energy conservation techniques This paper presents one of the simplest ways of conservation techniques that enables the electric power supply only when it is actually needed. It is an automatic system that functions with the existing CCTV surveillance camera to enable/disable the

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5

Napa, Lakshmi, and P. Arakeri Megha. "A novel sketch based face recognition in unconstrained video for criminal investigation." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 1499–509. https://doi.org/10.11591/ijece.v13i2.pp1499-1509.

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Face recognition in video surveillance helps to identify an individual by comparing facial features of given photograph or sketch with a video for criminal investigations. Generally, face sketch is used by the police when suspect’s photo is not available. Manual matching of facial sketch with suspect’s image in a long video is tedious and time-consuming task. To overcome these drawbacks, this paper proposes an accurate face recognition technique to recognize a person based on his sketch in an unconstrained video surveillance. In the proposed method, surveillance video and sketch of

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6

S., Ushasukhanya, and Jothilakshmi S. "Real-time human detection for electricity conservation using pruned-SSD and arduino." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1510. http://dx.doi.org/10.11591/ijece.v11i2.pp1510-1520.

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Electricity conservation techniques have gained more importance in recent years. Many smart techniques are invented to save electricity with the help of assisted devices like sensors. Though it saves electricity, it adds an additional sensor cost to the system. This work aims to develop a system that manages the electric power supply, only when it is actually needed i.e., the system enables the power supply when a human is present in the location and disables it otherwise. The system avoids any additional costs by using the closed circuit television, which is installed in most of the places fo

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7

Lakshmi, Napa, and Megha P. Arakeri. "A novel sketch based face recognition in unconstrained video for criminal investigation." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 1499. http://dx.doi.org/10.11591/ijece.v13i2.pp1499-1509.

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Face recognition in video surveillance helps to identify an individual by comparing facial features of given photograph or sketch with a video for criminal investigations. Generally, face sketch is used by the police when suspect’s photo is not available. Manual matching of facial sketch with suspect’s image in a long video is tedious and time-consuming task. To overcome these drawbacks, this paper proposes an accurate face recognition technique to recognize a person based on his sketch in an unconstrained video surveillance. In the proposed method, surveillance video and sketch of suspect is

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8

Ushasukhanya, S., and S. Jothilakshmi. "Real-time human detection for electricity conservation using pruned-SSD and arduino." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1510–20. https://doi.org/10.11591/ijece.v11i2.pp1510-1520.

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Abstract:

Electricity conservation techniques have gained more importance in recent years. Many smart techniques are invented to save electricity with the help of assisted devices like sensors. Though it saves electricity, it adds an additional sensor cost to the system. This work aims to develop a system that manages the electric power supply, only when it is actually needed i.e., the system enables the power supply when a human is present in the location and disables it otherwise. The system avoids any additional costs by using the closed circuit television, which is installed in most of the places fo

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9

Arco, E., A. Ajmar, F. Cremaschini, and C. Monaco. "SPATIO TEMPORAL DATA CUBE APPLIED TO AIS CONTAINERSHIPS TREND ANALYSIS IN THE EARLY YEARS OF THE BELT AND ROAD INITIATIVE – FROM GLOBAL TO LOCAL SCALE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 71–78. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-71-2021.

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Abstract. Maritime trade represents a significant part of all global import-export trade. The traffic of containerships can be monitored through Automatic Identification System (AIS), due to the fact that the International Maritime Organization (IMO) regulation requires AIS to be fitted aboard all ships of 300 gross tonnage and upwards engaged on international voyages. The approach proposed by the authors aimed to extract value added information from an AIS dataset, with a focus on maritime economy. Using an AIS dataset of global position of containerships from 01/01/2012 to 31/12/2016, the pa

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10

Ammar, Sirine, Thierry Bouwmans, and Mahmoud Neji. "Face Identification Using Data Augmentation Based on the Combination of DCGANs and Basic Manipulations." Information 13, no. 8 (2022): 370. http://dx.doi.org/10.3390/info13080370.

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Recently, Deep Neural Networks (DNNs) have become a central subject of discussion in computer vision for a broad range of applications, including image classification and face recognition. Compared to existing conventional machine learning methods, deep learning algorithms have shown prominent performance with high accuracy and speed. However, they always require a large amount of data to achieve adequate robustness. Furthermore, additional samples are time-consuming and expensive to collect. In this paper, we propose an approach that combines generative methods and basic manipulations for ima

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11

Ibadurrahman, Kunihiro Hamada, Yujiro Wada, Jota Nanao, Daisuke Watanabe, and Takahiro Majima. "Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning." Sensors 21, no. 21 (2021): 7169. http://dx.doi.org/10.3390/s21217169.

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The establishment of maritime safety and security is an important concern. Ship position prediction for maritime situational awareness (MSA), as a critical aspect of maritime safety and security, requires a longer time interval than collision avoidance and maritime traffic monitoring. However, previous studies focused mainly on shorter time-interval predictions ranging from 30 min to 10 h. A longer time-interval ship position prediction is required not only for MSA, but also for efficient allocation of ships by shipping companies in accordance with global freight demand. This study used an end

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12

Coggins, Bridget L. "Global patterns of maritime piracy, 2000–09." Journal of Peace Research 49, no. 4 (2012): 605–17. http://dx.doi.org/10.1177/0022343312442520.

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This article introduces the Maritime Piracy Data (MPD), a dataset dedicated to understanding the nature, dynamics, and causes of contemporary piracy and armed robbery against ships. Data on maritime piracy are presented in two formats: an event set and an annual, country-level set. The event data track every maritime piracy attack reported to the International Maritime Bureau’s Piracy Reporting Center (IMB/PRC) for a total of 3,413 events between 2000 and 2009. Entries provide event details including date, geo-coded location, attacker nationality, victim nationality, success, vessel type, viol

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13

Slayton, Mark Daniel, Abhinav Achreja, Jin Heon Jeon, et al. "Abstract 3030: Integrated in vitro and in silico screening of breast cancer reveals serine metabolism as a precision oncology target." Cancer Research 82, no. 12_Supplement (2022): 3030. http://dx.doi.org/10.1158/1538-7445.am2022-3030.

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Abstract Cellular metabolism sits at the forefront of growth and has been identified as an essential element for the progression of cancer. Large-scale chromosomal alterations and mutations incurred by cancerous cells can predispose cancer cells to dysfunctional metabolic programming independent of microenvironmental pressure. Cancer cells are adaptable to this reprogramming and find alternative measures to sustain elevated metabolic demands. However, this process reduces the number of functional metabolic pathways. Dysregulated metabolic pathways within cancerous cells create an opportunity f

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14

Arco, E., A. Ajmar, F. Cremaschini, and C. Monaco. "SPATIO TEMPORAL DATA CUBE APPLIED TO AIS CONTAINERSHIPS TREND ANALYSIS IN THE EARLY YEARS OF THE BELT AND ROAD INITIATIVE – FROM GLOBAL TO LOCAL SCALE." June 30, 2021. https://doi.org/10.5194/isprs-archives-xliii-b4-2021-71-2021.

Full text

Abstract:

Abstract. Maritime trade represents a significant part of all global import-export trade. The traffic of containerships can be monitored through Automatic Identification System (AIS), due to the fact that the International Maritime Organization (IMO) regulation requires AIS to be fitted aboard all ships of 300 gross tonnage and upwards engaged on international voyages. The approach proposed by the authors aimed to extract value added information from an AIS dataset, with a focus on maritime economy. Using an AIS dataset of global position of containerships from 01/01/2012 to 31/12/2016, the pa

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15

Dovdanov, Dovletgeldi, and Dao Wen Zhen. "Research on Energy Trade Between China and Turkmenistan." North American Academic Research 2, no. 7 (2019). https://doi.org/10.5281/zenodo.3268238.

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<em>As China's economy has extended, so has its requirement for vitality. Subsequently, China has expanded its local vitality limits and created import procedures for oil and gas. In its global vitality exercises, China has advanced through an arrangement of stages. The reason for this paper is to concentrate on China's most recent stage: making an overland vitality organize, provided fundamentally by Turkmenistan and turning into the vitality center point of an incorporated Asian market – China's  later "Silk Road" proposition. This paper additionally inspects

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