Relevant bibliographies by topics / Jet expanding machine

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Jet expanding machine'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Jet expanding machine.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Jet expanding machine"

1

Brianti, Greta, Roberto Iuppa, and Marco Cristoforetti. "Pipeline for performance evaluation of flavour tagging dedicated Graph Neural Network algorithms." Journal of Instrumentation 19, no. 02 (2024): C02064. http://dx.doi.org/10.1088/1748-0221/19/02/c02064.

Full text
Abstract:
Abstract Machine Learning is a rapidly expanding field with a wide range of applications in science. In the field of physics, the Large Hadron Collider, the world's largest particle accelerator, utilizes Neural Networks for various tasks, including flavour tagging. Flavour tagging is the process of identifying the flavour of the hadron that initiates a jet in a collision event, and it is an essential aspect of various Standard Model and Beyond the Standard Model studies. Graph Neural Networks are currently the primary machine-learning tool used for flavour tagging. Here, we present the AUTOGRA
APA, Harvard, Vancouver, ISO, and other styles
2

Vishal Gotarane. "Optimizing Energy-Efficient Machine Learning Algorithms for Real-Time Attack Detection in IoT Devices." Journal of Electrical Systems 20, no. 3 (2024): 6912–19. https://doi.org/10.52783/jes.7214.

Full text
Abstract:
Energy efficiency is a critical challenge in the expanding domain of In-ternet of Things (IoT) networks, where resource-constrained devices must operate securely under strict energy limitations. This study explores the application of Levy-Based Moth-Flame Optimization (LB-MFO) to enhance intrusion detection in IoT systems. Using the CICIDS 2017 dataset, LB-MFO was evaluated against standard machine learning models, including Logistic Regression, Decision Trees, Random Forest, and Support Vector Machines. To further optimize energy usage, techniques such as pruning, quantization, and model comp
APA, Harvard, Vancouver, ISO, and other styles
3

Jasmine Sabeena. "Fault Detection and Diagnosis in Electric Vehicle Systems using IoT and Machine Learning: A Support Vector Machine Approach." Journal of Electrical Systems 20, no. 3s (2024): 990–99. http://dx.doi.org/10.52783/jes.1414.

Full text
Abstract:
This research examines blame discovery and determination in electric vehicle (EV) frameworks utilizing Internet of Things (IoT) information and machine learning calculations, centring on a Support Vector Machine (SVM) approach. The study points to improving the unwavering quality and security of EV operations by precisely recognizing and diagnosing flaws in real time. The test comes about illustrates the adequacy of the SVM-based approach, with an exactness of 95%, accuracy of 94%, review of 96%, and F1-score of 95%. Comparative investigation with elective calculations such as k-Nearest Neighb
APA, Harvard, Vancouver, ISO, and other styles
4

Vijay Singh Sen. "Transcending Linguistic Boundaries: A Technical Exploration of The Evolution and Future Trajectory of Corpus-Based Machine Translation." Journal of Electrical Systems 20, no. 7s (2024): 2502–9. http://dx.doi.org/10.52783/jes.4073.

Full text
Abstract:
This review paper presents a comprehensive examination of the evolution, current state, and future perspectives of machine translation (MT). The field of MT, encompassing the automatic translation of text from one language to another, has undergone significant transformations from rule-based methods to statistical models, and more recently, to neural network-based approaches. By synthesizing current research and technological progress, this paper aims to provide a detailed understanding of the dynamic landscape of machine translation and its future directions. In today's globalized world, lang
APA, Harvard, Vancouver, ISO, and other styles
5

Sumanta Chatterjee. "Next-Generation Helmet Detection: A Real-Time Approach with Cutting-Edge Vision Technique." Journal of Electrical Systems 20, no. 11s (2024): 1793–800. https://doi.org/10.52783/jes.7618.

Full text
Abstract:
This research work addresses the critical need for improved road safety by developing a real-time motorcycle helmet detection system using advanced machine learning techniques. The system processes video feeds from surveillance cameras to detect helmet compliance and identify violators by detecting number plate information. Utilizing Convolutional Neural Networks (CNNs) like YOLO, the system ensures accurate detection. It is designed for real-time processing and scalability, seamlessly integrating with existing traffic monitoring infrastructures. Extensive testing on diverse datasets confirms
APA, Harvard, Vancouver, ISO, and other styles
6

Dovbysh, Anatolii, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, and Julius Simonovskiy. "Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure." Journal of Engineering Sciences 11, no. 2 (2024): E1—E8. http://dx.doi.org/10.21272/jes.2024.11(2).e1.

Full text
Abstract:
The article considers the machine learning method for a hand prosthesis control system that recognizes electromyographic signals with a non-invasive recording system. The method was developed within the information-extreme intelligent data analysis technology framework to maximize the system’s information capacity during machine learning. The method is based on adapting the input information description to maximize the probability of correct classification decisions, similar to artificial neural networks. However, unlike neural-like structures, the proposed method was developed within a functi
APA, Harvard, Vancouver, ISO, and other styles
7

Deng, Yanyao. "A Systematic Review of Application of Machine Learning in Curriculum Design Among Higher Education." Journal of Emerging Computer Technologies 4, no. 1 (2024): 15–24. http://dx.doi.org/10.57020/ject.1475566.

Full text
Abstract:
Machine learning has become an increasingly popular area of research in the field of education, with potential applications in various aspects of higher education curriculum design. This study aims to review the current applications of AI in the curriculum design of higher education. We conducted an initial search for articles on the application of machine learning in curriculum design in higher education. This involved searching three core educational databases, including the Educational Research Resources Information Centre (ERIC), the British Education Index (BEI), and Education Research Co
APA, Harvard, Vancouver, ISO, and other styles
8

Huang, Ruixia. "Design and Implementation of English Writing Aids Based on Natural Language Processing." Journal of Electrical Systems 20, no. 6s (2024): 2178–87. http://dx.doi.org/10.52783/jes.3132.

Full text
Abstract:
The design and implementation of English writing aids based on natural language processing (NLP) involve leveraging advanced algorithms and techniques to assist users in improving their writing skills. These aids can encompass various functionalities such as grammar and spell checking, style suggestions, vocabulary enhancement, and plagiarism detection. By analyzing the context, structure, and semantics of the text, NLP models can provide intelligent feedback and recommendations to help users express themselves more effectively. Additionally, interactive features such as real-time editing and
APA, Harvard, Vancouver, ISO, and other styles
9

V, Shwetha, Abinaya Selvarajan, Aarthi A, and Sneka R. "Quantum Speedup for Linear Systems: An Analysis of the HHL Algorithm Using IBM Qiskit." Journal of Electronics and Informatics 6, no. 4 (2025): 317–31. https://doi.org/10.36548/jei.2024.4.003.

Full text
Abstract:
One of the most significant developments in quantum computing is the Harrow-Hassidim-Lloyd (HHL) method, which can solve linear equation systems at exponential speedup. Because linear systems are essential to many scientific fields, including physics, engineering, and machine learning, this approach has great potential to revolutionize computational paradigms. The HHL algorithm is thoroughly examined in this work, with particular attention paid to its theoretical framework, real-world application utilizing IBM's Qiskit platform, and the difficulties in simulating quantum algorithms on noisy in
APA, Harvard, Vancouver, ISO, and other styles
10

Bireshwar Ganguly,. "Navigating Industry 4.0 Frontiers: A Scalable and Resilient Next-Generation IoT Framework to Implement Future Advancements in Smart and Adaptive Industrial Systems." Journal of Electrical Systems 20, no. 1s (2024): 444–54. http://dx.doi.org/10.52783/jes.784.

Full text
Abstract:
The emergence of Industry 4.0 signifies a paradigm shift in industrial systems, characterized by the amalgamation of digital technologies with tangible operations. The goal of this study is to present a state-of-the-art, scalable, and robust Internet of Things (IoT) framework that will enable future innovations in intelligent and adaptable industrial systems to be seamlessly integrated. Our framework gives scalability first priority in response to Industry 4.0's dynamic nature, which is marked by fast technical evolution and rising connection in order to handle the expanding ecosystem of netwo
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Jet expanding machine"

1

Болотнікова, О. О. "Розрахунок і аналіз характеристик струминно-реактивної розширювальної машини". Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/82242.

Full text
Abstract:
В роботі отримані параметри ефективності СРТ на виході (сила тяги, пусковий момент, питомий пусковий момент, коефіцієнт відновлення повного тиску в проточній частині СРТ) при різних тисках на вході (2,4 МПа, 4,9 МПа, 7,4 МПа) за допомогою програмного комплексу FlowVision. Отримані залежності пускового моменту і питомого пускового моменту на валу ротора СРТ від зміни критичних діаметрів підвідного та тягового сопел, а також від зміни вихідного діаметра тягового сопла. Досліджено вплив степені нерозрахунковості тягового сопла струминно-розширювальної турбіни на її ефективність.<br>В работе пол
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Jet expanding machine"

1

Zhou, Zude, Huaiqing Wang, and Ping Lou. "Data Mining and Knowledge Discovery." In Manufacturing Intelligence for Industrial Engineering. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-864-2.ch004.

Full text
Abstract:
In Chapters 2 and 3, the knowledge-based system and Multi-Agent system were illustrated. These are significant methods and theories of Manufacturing Intelligence (MI). Data Mining (DM) and Knowledge Discovery (KD) are at the foundation of MI. Humans are immersed in data, but are thirsty for knowledge. With the wider application of database technology, a dilemma has arisen whereby people are ‘rich in data, poor in knowledge’. The explosion of knowledge and information has brought great benefit to mankind, but has also carried with it certain drawbacks, since it has resulted in knowledge and inf
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Jet expanding machine"

1

Pranav, S., Sarath Kumar S, Sneha Biju, Limin Monachan, Jofin Joy, and B. Boby. "An Integrated System for Monitoring & Control of Solar Panel using IoT & Machine Learning." In 2nd International Conference on Modern Trends in Engineering Technology and Management. AIJR Publisher, 2023. http://dx.doi.org/10.21467/proceedings.160.53.

Full text
Abstract:
The proper monitoring and control of solar panels using IoT and machine learning are discussed in this paper. The use of green energy sources like solar power is expanding due to rising electricity costs and worries about the impact of fossil fuels on the environment. But the static position of the solar panel, improper cleaning system &amp; undetected faults may widely affect the total output generated from the solar panel. The efficiency of an array's energy generation is greatly diminished by the buildup of dust and debris on even an individual panel, emphasizing the necessity of keeping th
APA, Harvard, Vancouver, ISO, and other styles
2

Bulusu, Kartik V., and Charles A. Garris. "Supersonic Flow Visualization Over Patented Rotors for a Novel Crypto-Steady Pressure Exchange Ejector Using Schlieren Photography." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11955.

Full text
Abstract:
The process of pressure exchange occurs where flows exchange mechanical energy through work of mutually exerted pressure forces at their interfaces. A novel ejector based on the concept of supersonic crypto-steady pressure exchange rather than the more energy dissipative turbulent entrainment phenomenon is being developed. To better understand the flow structures in context of the novel ejector, schlieren photography is being used as a flow visualizaton tool. The crypto-steady mode of pressure exchange can be achieved with rotors that enable the creating of psuedoblades and entrainment gullies
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Jet expanding machine' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography