| viXra.org > Artificial Intelligence > 2303 |
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| viXra.org > Artificial Intelligence > 2303 |
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[4] viXra:2303.0162 [pdf] submitted on 2023-03-30 00:57:20
Authors: Narayanan Arvind
Comments: 4 Pages. Proceedings of Neptune's conference 2023, Samudramanthan, IIT Kharagpur
In the shipping industry, document classificationplays a crucial role in ensuring that the necessary documents are properly identified and processed for customs clearance. OCR technology is being used to automate the process of documentclassification, which involves identifying important documents such as Commercial Invoices, Packing Lists, Export/Import Customs Declarations, Bills of Lading, Sea Waybills, Certificates, Air or Rail Waybills, Arrival Notices, Certificate of Origin,Importer Security Filings, and Letters of Credit. By using OCR technology, the shipping industry can improve accuracy and efficiency in document classification and streamline the customs clearance process. The aim of this study is to build a robust document classification system based on keyword frequencies. The research is carried out by analyzing "Contract-Breach" law documents available with IN-D. The documents were collected by scraping the Singapore Government Judiciary website. The database developed has 250"Contract-Breach" documents. These documentsare splitted to generate 200 training documents and 50 test documents. A semi-automatic approach is used to select keyword vectors for documentclassification. The accuracy of the reported modelis 92.00 %.
Category: Artificial Intelligence
[3] viXra:2303.0110 [pdf] submitted on 2023-03-17 14:50:49
Authors: Ho Ngoc Hai
Comments: 68 Pages.
This document focuses on ChatGPT, a natural language processing (NLP) model built by the transformer neural network. The document provides a comprehensive overview of the architecture, training, and fine-tuning of ChatGPT, as well as its applications in various fields, including customer service and support, healthcare, education, research, and development.
Category: Artificial Intelligence
[2] viXra:2303.0104 [pdf] submitted on 2023-03-17 02:38:49
Authors: Egger Mielberg
Comments: 15 Pages.
In this article, we define such key concepts as sense entropy, sense energy,sense efficiency coefficient (SEC). These metrics are critical to determining andmonitoring the performance of any real* AI implementation.We give a description of the basic non-scalar tools for building real artificialintelligence with the ability to adapt to a variety of conditions of its habitat.
Category: Artificial Intelligence
[1] viXra:2303.0076 [pdf] submitted on 2023-03-11 13:32:47
Authors: Korolev Konstantin
Comments: 12 Pages. CC BY-NC-SA: Creative Commons Attribution-Noncommercial-ShareAlike
Hall effect thrusters are one of the most versatile and popular electric propulsion systems for space use. Industry trends towards interplanetary missions arise advances in design development of such propulsion systems. It is understood that correct sizing of discharge channel in Hall effect thruster impact performance greatly. Since the complete physics model of such propulsion system is not yet optimized for fast computations and design iterations, most thrusters are being designed using so-called scaling laws. But this work focuses on rather novel approach, which is outlined less frequently than ordinary scaling design approach in literature. Using deep machine learning it is possible to create predictive performance model, which can be used to effortlessly get design of required hall thruster with required characteristics using way less computing power than design from scratch and way more flexible than usual scaling approach.
Category: Artificial Intelligence
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