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Journal articles on the topic 'Ocean cleaning machine'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Adarsh, JK, OS Anush, R. Shrivarshan, et al. "Ocean Surface Cleaning Autonomous Robot (OSCAR) using Object Classification Technique and Path Planning Algorithm." Journal of Physics: Conference Series 2115, no. 1 (2021): 012021. http://dx.doi.org/10.1088/1742-6596/2115/1/012021.

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Abstract Increasing water pollution is one of the biggest concerns in today’s world. It leads to a variety of problems including an increase in the level of toxic concentration in the water. This paper aims to introduce a concept of an ocean/water body cleaning robot that attempts to classify the wastes using a camera with a custom machine learning model and segregate accordingly using separators while collecting them on the basket attached, that can be recycled on the base station. The robot can be deployed on any water surface thus making it more effective than a largescale ocean pollution c

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2

SHARAUOVA, A. B., D. N. DELIKESHEVA, and I. YALALETDINOV. "APPLICATION OF MACHINE LEARNING METHODS TO PREDICTION OF HOLE CLEANING FROM CUTTINGS." Neft i Gaz, no. 2 (April 15, 2023): 58–67. http://dx.doi.org/10.37878/2708-0080/2023-2.05.

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Drilling operations typically face several issues that can significantly impact a drilling program by increasing the time required to drill to a given depth. Such problems include pipe sticking, and the elimination of such accidents is the most difficult, the most time-consuming, the most risky, and even the entire wellbore or part of it can be abandoned. This problem is closely related to hole cleaning conditions and can be overcome by providing good hole cleaning conditions. Wellbore cleaning problems can be reduced by using machine learning models that can predict wellbore condition with re

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3

Xie, Xianwei, Baozhi Sun, Xiaohe Li, Tobias Olsson, Neda Maleki, and Fredrik Ahlgren. "Fuel Consumption Prediction Models Based on Machine Learning and Mathematical Methods." Journal of Marine Science and Engineering 11, no. 4 (2023): 738. http://dx.doi.org/10.3390/jmse11040738.

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An accurate fuel consumption prediction model is the basis for ship navigation status analysis, energy conservation, and emission reduction. In this study, we develop a black-box model based on machine learning and a white-box model based on mathematical methods to predict ship fuel consumption rates. We also apply the Kwon formula as a data preprocessing cleaning method for the black-box model that can eliminate the data generated during the acceleration and deceleration process. The ship model test data and the regression methods are employed to evaluate the accuracy of the models. Furthermo

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Tay, Zhi Yung, Januwar Hadi, Favian Chow, De Jin Loh, and Dimitrios Konovessis. "Big Data Analytics and Machine Learning of Harbour Craft Vessels to Achieve Fuel Efficiency: A Review." Journal of Marine Science and Engineering 9, no. 12 (2021): 1351. http://dx.doi.org/10.3390/jmse9121351.

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The global greenhouse gas emitted from shipping activities is one of the factors contributing to global warming; thus, there is an urgent need to mitigate the adverse effect of climate change. One of the key strategies is to build a vibrant maritime industry with the use of innovation and digital technologies as well as intelligent systems. The digitization of the shipping industry not only provides a competitive edge to the shipping business model but also enhances ship operational and energy efficiency. This review paper focuses on the big data analytics and machine learning applied to harbo

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Stepanenko, S. P., M. M. Aneliak, A. Ya Kuzmich, et al. "Study of the influence parameters and operating modes of equipment on the degree of grain damage in processing lines for its cleaning." MECHANICS and AUTOMATICS of AGROINDUSTRIAL PRODUCTION, no. 2(116) (2023): 88–99. http://dx.doi.org/10.37204/2786-7765-2023-2-10.

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Purpose. To determine the degree (magnitude) of grain damage at different stages of post-harvest grain processing and develop a rapid method for assessing grain damage using any technical means employed in the post-harvest grain processing line. Methods. The analytical research method is based on analyzing the degree of grain damage caused by technical means in the technological lines of post-harvest grain processing. Results. It has been established that the technical means used in technological lines result in different degrees of grain damage, and an analytical dependency has been obtained

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Tadros, Mina, Manuel Ventura, and C. Guedes Soares. "Review of the Decision Support Methods Used in Optimizing Ship Hulls towards Improving Energy Efficiency." Journal of Marine Science and Engineering 11, no. 4 (2023): 835. http://dx.doi.org/10.3390/jmse11040835.

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This paper presents a review of the different methods and techniques used to optimize ship hulls over the last six years (2017–2022). This review shows the different percentages of reduction in ship resistance, and thus in the fuel consumption, to improve ships’ energy efficiency, towards achieving the goal of maritime decarbonization. Operational research and machine learning are the common decision support methods and techniques used to find the optimal solution. This paper covers four research areas to improve ship hulls, including hull form, hull structure, hull cleaning and hull lubricati

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Пирисунько, Максим Андрійович, Роман Миколайович Радченко, Андрій Адольфович Андреєв та Вікторія Сергіївна Корнієнко. "ЗМЕНШЕННЯ ВИКИДІВ СУДНОВОГО ДИЗЕЛЯ УТИЛІЗАЦІЄЮ ТЕПЛОТИ РЕЦИРКУЛЯЦІЙНИХ ГАЗІВ ЕЖЕКТОРНОЮ ХОЛОДИЛЬНОЮ МАШИНОЮ". Aerospace technic and technology, № 4 (31 серпня 2019): 20–24. http://dx.doi.org/10.32620/aktt.2019.4.04.

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The problem of air basin pollution of the World Ocean with harmful emissions from the exhaust gases of marine diesel engines is primarily associated with the creation of highly efficient technologies for the neutralization of nitrogen oxides NOx on exhaust gases from a diesel engine. Emissions of harmful substances from the combustion of marine fuels are limited by international atmospheric protection programs and the requirements of the International Maritime Organization (IMO). The requirements relate to almost all groups of harmful emissions in marine engines and the more stringent of them

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8

Msiza, Zenzele Abel, and Pius Adewale Owolawi. "Advancing Used Car Price Prediction in South Africa: An Empirical Examination of Machine Learning Techniques." International Conference on Artificial Intelligence and its Applications 2023 (November 9, 2023): 189–96. http://dx.doi.org/10.59200/icarti.2023.027.

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The purpose of this study was to compile historical data from Demo automobiles in South Africa to build a prediction model that could predict the prices of second-hand vehicles. The developed approach was designed to serve as a facilitator for sellers and buyers in the used car industry. The dataset for this study was obtained from the Demo automobiles website. Several machine learning approaches were utilized in creating the prediction model, with the best algorithm chosen based on the R-Squared and RMSE (Root Mean Squared Error) performance metrics. Prior to modelling, data cleaning was cond

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9

Rizk, Faris H., Mahmoud Elshabrawy, Basant Sameh, Karim Mohamed, and Ahmed Mohamed Zaki. "Optimizing Student Performance Prediction Using Binary Waterwheel Plant Algorithm for Feature Selection and Machine Learning." Journal of Artificial Intelligence and Metaheuristics 7, no. 1 (2024): 19–37. http://dx.doi.org/10.54216/jaim.070102.

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This paper deals with a pivotal part of educational data analytics, aiming to increase the accuracy and interpretability of student performance prediction models. The cornerstone of our method is the innovative application of binary waterwheel plant algorithm bWWPA in the feature selection. As we can see, an essential part of any model is the predicted values, which correctly define all the characteristics of this model. Practically, we begin with solid data pre-processing, which incorporates data cleaning and missing values, duplicate removal, and data transformation in order to get model inp

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10

Sedaghat, Atefe, Homayoon Arbabkhah, Masood Jafari Kang, and Maryam Hamidi. "Deep Learning Applications in Vessel Dead Reckoning to Deal with Missing Automatic Identification System Data." Journal of Marine Science and Engineering 12, no. 1 (2024): 152. http://dx.doi.org/10.3390/jmse12010152.

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This research introduces an online system for monitoring maritime traffic, aimed at tracking vessels in water routes and predicting their subsequent locations in real time. The proposed framework utilizes an Extract, Transform, and Load (ETL) pipeline to dynamically process AIS data by cleaning, compressing, and enhancing it with additional attributes such as online traffic volume, origin/destination, vessel trips, trip direction, and vessel routing. This processed data, enriched with valuable details, serves as an alternative to raw AIS data stored in a centralized database. For user interact

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11

Fitkirana, Edwin, and Heru Arizal. "Perancangan Mesin Pembersih Pipa dari Oli Anticorit di PT. SPINDO Unit 6." Jurnal Mesin Nusantara 5, no. 2 (2023): 174–81. http://dx.doi.org/10.29407/jmn.v5i2.18169.

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PT. Steel Pipe Industry of Indonesia, Tbk. (SPINDO) is one of the industries engaged in the manufacture of steel pipes for various needs, ranging from furniture, construction, automotive, etc. In the process of making steel pipes, there is a special treatment to slow down the corrosion rate, one of which is by dipping the pipe into anticorit oil. Some of the customers asked for special treatment on the galvanized iron square pipe to be cleaned of anticoritic oil. The problems that occur in PT. SPINDO unit 6, namely the process of cleaning pipes from anti-rust oil is still carried out by wiping

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12

Matheus Ferreira de Melo, Hugo. "Identification of Luciferin on Europa through Data Science Analysis of Near-Infrared Mapping Spectrometer (NIMS) Data from the Galileo Orbiter." International Journal of Physical Research 12, no. 2 (2024): 123–31. https://doi.org/10.14419/cawv2g89.

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In this study, we investigated the potential presence of extraterrestrial life on Europa, one of Jupiter’s moons, by exploring the existence of Luciferin, a bioluminescent molecule. This hypothesis is based on Europa’s subsurface oceans and the geothermal conditions created by gravitational forces from Jupiter, similar to Earth’s hydrothermal vents. We reanalyzed raw data from the Near-Infrared Mapping Spectrometer (NIMS) on the Galileo spacecraft, utilizing advanced machine learning and data processing techniques to enhance data quality. This involved cleaning, preprocessing, and normalizing

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13

Volyk, D. A., I. S. Popadyuk, and S. P. Stepanenko. "Analysis of constructions of technical means for separating seeds by density." MECHANICS and AUTOMATICS of AGROINDUSTRIAL PRODUCTION, no. 2(116) (2023): 100–109. http://dx.doi.org/10.37204/2786-7765-2023-2-11.

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Purpose. To intensify the seed separation process based on density through the justification of a new separator design. Methods. Conducting a literature and patent search to analyze the designs of grain-cleaning machines with combined action on grain using disruptive forces. Results. The choice of fractionation characteristics, the sequence of placement, and the composition of working elements in technological lines should be given great importance during fractionation. The universality of the use of combined grain cleaning machines reduces their nomenclature and limits the possibilities of us

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14

Pravin, P., G. Babin Dhas, T. Tijo, and M. John Bosco. "High-pressure automatic vacuum cleaner using Arduino." BOHR Journal of Electrical & Electronic Communication Engineering 1, no. 1 (2024): 18–20. http://dx.doi.org/10.54646/bjeece.2024.04.

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In the modern world, household work has been transformed by new technologies. Some machines were designed to automate tasks previously performed by servants, while others employ new energy sources such as electricity and gas to make dwellings cleaner, safer, and more efficient. This paper proposes a high-pressure automatic vacuum cleaner using Arduino to dry-clean an area automatically. The robot covers the entire room or area by using the border analysis technique. The robot travels in a zigzag path and covers the entire area. It analyses the obstacle in the room by using an ultrasonic sensor

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15

Fruytier, Pierre-Andre M., and Arun Kr Dev. "Predicting Ship Maintenance and Repair Labor with Artificial Neural Networks." Journal of Ship Production and Design 38, no. 01 (2021): 9–18. http://dx.doi.org/10.5957/jspd.10200027.

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Ship maintenance and repair work cost estimation is often regarded as an “Art,” which may contribute to the financial success or distress of a shipyard. Regarded as experts by senior management, estimators are among the most valued resources, and nonetheless, human. Over time, estimators learn from mistakes, and get better with tenure at sharpening assessments. When estimators retire without having groomed an apprentice, shipyards may be at risk of losing a lot of know-how, all at once. These shipyards may well find very costly to experience, for a while, estimating skills stepping back on the

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16

FILONOV, ROMAN F. "Efficient washing of milking units." Agricultural Engineering, no. 1 (2024): 25–30. http://dx.doi.org/10.26897/2687-1149-2024-1-25-30.

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The cleaning and disinfection of milking equipment are extremely important for obtaining high-quality milk. When washing the milking system, the most problematic, costly, and time-consuming operation is to flush teat cups. To optimize the process, the authors carried out analytical studies of air-hydraulic mixture velocity in the teat cup. They have developed a washing device for milking unit, including a feeding system of collector type for distribution of a washing solution into four cone-shaped rotating nozzles with mechanically active surface of arbitrary rotation. The uniform and volumetr

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17

Md, Owahedur Rahman, and Bilal Tariq Muhammad. "The Causes and Effects and Control Systems of Industrial Air Pollution." North American Academic Research 2, no. 6 (2019): 54–68. https://doi.org/10.5281/zenodo.3245566.

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<strong>Introduction</strong> Air pollution is the presentation into the atmosphere of synthetics, particulates, or organic materials that cause uneasiness, infection, or demise to people, harm other living life forms, for example, sustenance harvests, or harm the normal environment or constructed environment.A substance noticeable all around that can be unfriendly to people and the earth is known as an air poison. Poisons can be as strong particles, fluid beads, or gases. Likewise, they might be normal or man-made. Poisons can be named essential or optional. Generally, essential toxins are le

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18

"Development of a design and a method for calculating the volume and mass of the structural material of a tubular electrobaromembrane apparatus for cleaning industrial solutions of machine-building and chemical industries." Vestnik Mashinostroeniya, October 2023, 803–7. http://dx.doi.org/10.36652/10.36652/0042-4633-2023-102-10-803-807.

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The design of a tubular-type electrobaromembrane apparatus for cleaning of industrial solutions of machinebuilding and chemical industries is developed. An optimized version of the apparatus and a method for calculating the volumes of its elements and mass are presented. The developed design of the apparatus makes it possible to increase the productivity and quality of separation of solutions, to turbulize and cool the separated (initial) solution. Keywords: design, electrobaromembrane apparatus, calculation method. kdn1979dom@mail.ru

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Yadav, Bharat, and Arpita Sharma. "Gender Analysis of Ornamental Fish Production Units in Maharashtra, India." Frontiers in Marine Science 9 (June 16, 2022). http://dx.doi.org/10.3389/fmars.2022.907069.

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Ornamental fisheries are an emerging business and offer vast opportunities. In India, the Maharashtra state had a scheme called “Rainbow Revolution”, which was started to encourage breeding and export of ornamental fishes. Taking advantage of this scheme, 305 male and female entrepreneurs took up this small-scale business. Gender analysis, which provides the necessary data and information to integrate a gender perspective into policies, programs, and projects and allows for the development of interventions that address gender inequalities, was conducted using the Harvard Analysis Framework for

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20

Campanioni, Chris. "How Bizarre: The Glitch of the Nineties as a Fantasy of New Authorship." M/C Journal 21, no. 5 (2018). http://dx.doi.org/10.5204/mcj.1463.

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As the ball dropped on 1999, is it any wonder that No Doubt played, “It’s the End of the World as We Know It” by R.E.M. live on MTV? Any discussion of the Nineties—and its pinnacle moment, Y2K—requires a discussion of both the cover and the glitch, two performative and technological enactments that fomented the collapse between author-reader and user-machine that has, twenty years later, become normalised in today’s Post Internet culture. By staging failure and inviting the audience to participate, the glitch and the cover call into question the original and the origin story. This breakdown of

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