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Academic Articles & Research Papers
Showing 20 of 25 academic articles
Manuel Angel Gadeo-Martos, Antonio Jesús Yuste-Delgado, Florencia Almonacid Cruz, Jose-Angel Fernandez-Prieto et al. • Energies
(2019)
Currently, there is growing interest in the modeling of high concentrator photovoltaic modules, due to the importance of achieving an accurate model, to improve the knowledge and understanding of this technology and to promote its expansion...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en12030567
M Peng • Journal of Management
(2001)
The resource-based view (RBV) of the firm has become an influential theoretical perspective in recent international business (IB) research. Tracking the evolution of the RBV literature in IB, this article has three objectives. First, it doc...
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DOI: https://doi.org/10.1016/s0149-2063(01)00124-6
Mikail Batu, Mustafa Oz, İlknur Aydoğdu Karaaslan, Akan Yanık et al. • Frontiers in Communication
(2024)
This study explores the most effective educational methods for conveying information about natural disasters in large institutions like universities. Focusing on a sample of 405 students from Ege University (Turkey), it examines whether kno...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcomm.2024.1492719
S. Leyk, S. Leyk, A. E. Gaughan, A. E. Gaughan et al. • Earth System Science Data
(2019)
Population data represent an essential component in
studies focusing on human–nature interrelationships, disaster risk
assessment and environmental health. Several recent efforts have produced
global- and continental-extent gridded populati...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/essd-11-1385-2019
Simon Frieder, Luca Pinchetti, Chevalier Chevalier, Ryan-Rhys Griffiths et al. • neural information processing systems
(2023)
We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, as well as hand-crafted ones, using a novel methodology. In...
OPENALEX
Open Access
DOI: https://doi.org/10.52202/075280-1205
Samuli I. Saarni • Bulletin of the World Health Organization
(2008)
Health technology assessment (HTA) is the multidisciplinary study of the implications of the development, diffusion and use of health technologies. It supports health-policy decisions by providing a joint knowledge base for decision-makers....
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DOI: https://doi.org/10.2471/blt.08.051078
PMC: 2649462
Nour al dain Marzouka, Halima Alnaqbi, Amira Al-Aamri, Guan Tay et al. • Scientific Reports
(2024)
Abstract The Human leukocyte antigen (HLA) molecules are central to immune response and have associations with the phenotypes of various diseases and induced drug toxicity. Further, the role of HLA molecules in presenting antigens significa...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-53986-1
Simpson, G, Wheeler, NJ • Routledge eBooks
(2006)
This unique volume examines the opportunities for, and initiates work in, interdisciplinary research between the fields of international law and international relations; disciplines that have engaged little with one another since the Second...
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DOI: https://doi.org/10.4324/9780203966761
Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang et al. • Engineering
(2018)
Cyberattack forms are complex and varied, and the detection and prediction of dynamic types of attack are always challenging tasks. Research on knowledge graphs is becoming increasingly mature in many fields. At present, it is very signific...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.eng.2018.01.004
Santanu Pattanayak • Apress eBooks
(2022)
In the modern age of information and analytics, natural language processing (NLP) is one of the most important technologies out there. Making sense of complex structures in language and deriving insights and actions from it are crucial from...
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DOI: https://doi.org/10.1007/978-1-4842-8931-0_4
Sonit Singh • arXiv (Cornell University)
(2018)
With rise of digital age, there is an explosion of information in the form of news, articles, social media, and so on. Much of this data lies in unstructured form and manually managing and effectively making use of it is tedious, boring and...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1807.02383
Asefeh Asemi, Rajab Kiani Shahvandy, Mahdi Houshangi • International Journal of Information Management Data Insights
(2026)
Objective: This study conducts a comprehensive empirical evaluation of semantic clustering algorithms to identify the most effective approach for automatically organizing and extracting meaning from textual data. By systematically comparing...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jjimei.2026.100396
Aigerim Mansurova, Aliya Nugumanova, Zhansaya Makhambetova • Scientific Journal of Astana IT University
(2023)
Large Language Models (LLMs), such as ChatGPT, have transformed the field of natural language processing with their capacity for language comprehension and generation of human-like, fluent responses for many downstream tasks. Despite their ...
DOAJ
Open Access (DOAJ)
DOI: 10.37943/15XNDZ6667
Enrico Franconi B • Cambridge University Press eBooks
(2007)
In most natural language processing applications, Description Logics have been used to encode in a knowledge base some syntactic, semantic, and pragmatic elements needed to drive the semantic interpretation and the natural language generati...
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DOI: https://doi.org/10.1017/cbo9780511711787.017
David C. Yen, William S. Davis • CRC Press eBooks
(2019)
This chapter introduces key natural language processing concepts and terminology. The ultimate objective of natural language processing is to allow people to communicate with computers in much the same way they communicate with each other. ...
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DOI: https://doi.org/10.1201/9781420049107-68
Hang Li • National Science Review
(2017)
Deep learning refers to machine learning technologies for learning and utilizing ‘deep’ artificial neural networks, such as deep neural networks (DNN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Recently, deep ...
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DOI: https://doi.org/10.1093/nsr/nwx110
Aravind K. Joshi • Science
(1991)
Natural language processing (NLP) is the study of mathematical and computational modeling of various aspects of language and the development of a wide range of systems. These include spoken language systems that integrate speech and natural...
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DOI: https://doi.org/10.1126/science.253.5025.1242
Anwaar Ulhaq, Jannis Born, Asim Ali Khan, Douglas Pinto Sampaio Gomes et al. • IEEE Access
(2020)
The COVID-19 pandemic has triggered an urgent call to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of artificial intelligence, has enjoyed recent success in solving various comple...
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DOI: https://doi.org/10.1109/access.2020.3027685
PMC: 8545281
Gabriel de Sousa Meira, João Victor Ferreira Guedes, Edilson de Souza Bias • Drones
(2024)
The use of geotechnologies in the field of diagnostic engineering has become ever more present in the identification of pathological manifestations in buildings. The implementation of Unmanned Aerial Vehicles (UAVs) and embedded sensors has...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/drones8070341
Yves Kodratoff • CERN Document Server (European Organization for Nuclear Research)
(1988)
1 Why Machine Learning and AI: The Contributions of AI to Learning Techniques 2 Theoretical Foundations for Machine Learning 3 Representation of Complex Knowledge by Clauses 4 Representation of Knowledge about Actions and the Addition of Ne...
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