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Luís Fonseca, Fernando Ribeiro and José Metrôlho
There are many uses for machine learning in everyday life and there is a steady increase in the field of medicine; the use of such technologies facilitates the tiresome work of health professionals by either automating repetitive tasks or making them sim...
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Ashokkumar Palanivinayagam, Claude Ziad El-Bayeh and Robertas Dama?evicius
Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Widely...
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Alex Cevallos-Culqui, Claudia Pons, Gustavo Rodriguez
Pág. 81 - 111
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Ali Saleh Alammary
Bidirectional Encoder Representations from Transformers (BERT) has gained increasing attention from researchers and practitioners as it has proven to be an invaluable technique in natural languages processing. This is mainly due to its unique features, i...
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Flavia Grignaffini, Francesco Barbuto, Lorenzo Piazzo, Maurizio Troiano, Patrizio Simeoni, Fabio Mangini, Giovanni Pellacani, Carmen Cantisani and Fabrizio Frezza
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin lesions is necessary to assess the characteristics of the disease; however, it is limited by long timelines and variety in interpretation. As early and accurate ...
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Cyrille YetuYetu Kesiku, Andrea Chaves-Villota and Begonya Garcia-Zapirain
The classification of biomedical literature is engaged in a number of critical issues that physicians are expected to answer. In many cases, these issues are extremely difficult. This can be conducted for jobs such as diagnosis and treatment, as well as ...
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Zahra Hadavandsiri, Derek D. Lichti, Adam Jahraus and David Jarron
This paper presents a novel approach for automatic, preliminary detection of damage in concrete structures using ground-based terrestrial laser scanners. The method is based on computation of defect-sensitive features such as the surface curvature, since...
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Walter Craig and Jonathon Stone
Information in phylogenetic systematic analysis has been conceptualized, defined, quantified, and used differently by different authors. In this paper, we start with the Shannon Uncertainty Measure information measure I, applying it to cladograms contain...
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Haifa Almutairi, Ghulam Mubashar Hassan and Amitava Datta
Increasingly prevalent sleep disorders worldwide significantly affect the well-being of individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence, the accurate classification of sleep stages is crucial for detecting sleep...
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Hao Sun, Shu Wang, Yunqiang Zhu, Wen Yuan and Zhiqiang Zou
In the era of GeoAI, Geospatial Intelligent Question Answering (GeoIQA) represents the ultimate pursuit for everyone. Even generative AI systems like ChatGPT-4 struggle to handle complex GeoIQA. GeoIQA is domain complex IQA, which aims at understanding a...
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Zemin Han, Yuanyong Dian, Hao Xia, Jingjing Zhou, Yongfeng Jian, Chonghuai Yao, Xiong Wang and Yuan Li
Land cover is an important variable of the terrestrial ecosystem that provides information for natural resources management, urban sprawl detection, and environment research. To classify land cover with high-spatial-resolution multispectral remote sensin...
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Iris Heine, Achim Brauer, Birgit Heim, Sibylle Itzerott, Peter Kasprzak, Ulrike Kienel, Birgit Kleinschmit
Pág. 1 - 31
Calcite precipitation is a common phenomenon in calcium-rich hardwater lakes during spring and summer, but the number and spatial distribution of lakes with calcite precipitation is unknown. This paper presents a remote sensing based method to observe ca...
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Iris Heine, Achim Brauer, Birgit Heim, Sibylle Itzerott, Peter Kasprzak, Ulrike Kienel and Birgit Kleinschmit
Calcite precipitation is a common phenomenon in calcium-rich hardwater lakes during spring and summer, but the number and spatial distribution of lakes with calcite precipitation is unknown. This paper presents a remote sensing based method to observe ca...
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Varun Gupta, Jose Maria Fernandez-Crehuet, Thomas Hanne and Rainer Telesko
The systematic mapping study outcome finds its application in the software industry and research centers. Software engineers working in software companies will find easy access to the state of requirement engineering research conducted in the startup con...
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Victor Dyomin, Igor Semiletov, Denis Chernykh, Elena Chertoprud, Alexandra Davydova, Nikolay Kirillov, Olga Konovalova, Alexey Olshukov, Aleksandr Osadchiev and Igor Polovtsev
The paper presents the results of in situ studies of marine particles of different nature using a submersible digital holographic camera (DHC) during the Arctic expedition. It also describes the features, performance specifications, and possibilities of ...
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Ratnesh Kumar Sharma, Gnana Bharathy, Faezeh Karimi, Anil V. Mishra and Mukesh Prasad
This literature review explores the existing work and practices in applying thematic analysis natural language processing techniques to financial data in cloud environments. This work aims to improve two of the five Vs of the big data system. We used the...
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Purvi Jhawar and Jayanta Kumar Seal
The literature on the influence of political and policy-related uncertainties on financial aspects has gained an impetus in the last two decades. This study adds to the existing literature by reviewing the impact of political uncertainty on initial publi...
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Valeria Mercuri, Martina Saletta and Claudio Ferretti
As the prevalence and sophistication of cyber threats continue to increase, the development of robust vulnerability detection techniques becomes paramount in ensuring the security of computer systems. Neural models have demonstrated significant potential...
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Mohamed Amine Ben Farah, Elochukwu Ukwandu, Hanan Hindy, David Brosset, Miroslav Bures, Ivan Andonovic and Xavier Bellekens
The paper presents a classification of cyber attacks within the context of the state of the art in the maritime industry. A systematic categorization of vessel components has been conducted, complemented by an analysis of key services delivered within po...
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Sana Shams and Muhammad Aslam
Detecting the communicative intent behind user queries is critically required by search engines to understand a user?s search goal and retrieve the desired results. Due to increased web searching in local languages, there is an emerging need to support t...
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