Search Results - "Discover data"

Enhancing software defect prediction models using metaheuristics with a learning to rank approach by Boloori, Aryan, Zamanifar, Azadeh, Farhadi, Amirfarhad

“…In today’s world, software systems are extensively used across industries like medicine, commerce, education, entertainment, and industry. The development…”
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Adaptive peak price with lazy updates for short-term portfolio optimization by Xie, Kailin, Chu, Ying

“…This paper introduces the novel Adaptive Peak Price with Lazy Updates (APPLU) approach for short-term portfolio optimization (SPO), a method that innovatively…”
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Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study by Wang, Ziyun, Zhou, Grace, Palipana, Anushka, Gecili, Emrah, Dexheimer, Judith W., Siracusa, Christopher, Szczesniak, Rhonda

“…Purpose Predicting the onset of pulmonary exacerbation for people with cystic fibrosis (CF) is critical to identify those at high risk in advance and allows…”
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Network impact analysis on the performance of Secure Group Communication schemes with focus on IoT by Prantl, Thomas, Amann, Patrick, Krupitzer, Christian, Engel, Simon, Bauer, André, Kounev, Samuel

“…Secure and scalable group communication environments are essential for many IoT applications as they are the cornerstone for different IoT devices to work…”
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A systematic review and meta-data analysis of clinical data repositories in Africa and beyond: recent development, challenges, and future directions by Adewole, Kayode S., Alozie, Emmanuel, Olagunju, Hawau, Faruk, Nasir, Aliyu, Ruqayyah Yusuf, Imoize, Agbotiname Lucky, Abdulkarim, Abubakar, Imam-Fulani, Yusuf Olayinka, Garba, Salisu, Baba, Bashir Abdullahi, Hussaini, Mustapha, Oloyede, Abdulkarim A., Abdullahi, Aminu, Kanya, Rislan Abdulazeez, Usman, Dahiru Jafaru

“…A Clinical Data Repository (CDR) is a dynamic database capable of real-time updates with patients' data, organized to facilitate rapid and easy retrieval. CDRs…”
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The measurement errors of google trends data by Liu, Kerry

“…Google Trends is a popular data source that has been utilized in hundreds of studies across various fields, including information technology, business,…”
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An exploration of the motivations of catfish perpetrators and the emotions and feelings expressed by catfish victims using automated linguistic analysis and thematic analysis by Ryan, Samuel, Taylor, Jacqui

“…Catfishing is a form of online deception where an individual presents themselves as an identity that is not their own. The study reported in this article…”
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Benchmarking of Secure Group Communication schemes with focus on IoT by Prantl, Thomas, Bauer, André, Engel, Simon, Horn, Lukas, Krupitzer, Christian, Iffländer, Lukas, Kounev, Samuel

“…As Internet of Things (IoT) devices become ubiquitous, they face increasing cybersecurity threats. Unlike standard 1-to-1 communication, the unique challenge…”
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Towards a holistic view of bias in machine learning: bridging algorithmic fairness and imbalanced learning by Dablain, Damien, Krawczyk, Bartosz, Chawla, Nitesh

“…Machine learning (ML) is playing an increasingly important role in rendering decisions that affect a broad range of groups in society. This posits the…”
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TFPsocialmedia: a public dataset for studying Turkish foreign policy by Mehmetcik, Hakan, Ganiz, Murat Can, Koluk, Melih, Yüksel, Galip, Yılmaz, Muslim, İnce, Muhammed Mustafa, Tortumlu, Emre

“…Objectives This data note introduces the TFPsocialmedia dataset, designed to aid social media researchers investigating Turkish Foreign Policy (TFP). With over…”
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Data sharing and exchanging with incentive and optimization: a survey by Liu, Liyuan, Han, Meng

“…As the landscape of big data evolves, the paradigm of data sharing and exchanging has gained paramount importance. Nonetheless, the transition to efficient…”
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Canadian agriculture technology adoption by Easher, Tahmid Huq, Enstroem, Rickard, Griffin, Terry, Nilsson, Tomas

“…Objectives Statistics Canada administers the Agricultural Census every 5 years, and this paper presents unsuppressed data from the 2016 and 2021 Census. The…”
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An evaluation of NERC learning-based approaches to discover personal data in Brazilian Portuguese documents by Ignaczak, Luciano, Martins, Márcio Garcia, da Costa, Cristiano André, Donida, Bruna, da Silva, Maria Cristina Peres

“…Abstract Governments are issuing regulations and laws demanding that companies protect collected and processed personal data. In Brazil, the federal government…”
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Challenges and approaches when realizing online surface inspection systems with deep learning algorithms by Stephani, Henrike, Weibel, Thomas, Rösch, Ronald, Moghiseh, Ali

“…Abstract Using deep learning in complex online surface inspection systems is challenging due to different framework conditions. First, time restrictions in…”
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Analysing and visualising bike-sharing demand with outliers by Rennie, Nicola, Cleophas, Catherine, Sykulski, Adam M., Dost, Florian

“…Abstract Bike-sharing is a popular component of sustainable urban mobility. It requires anticipatory planning, e.g. of station locations and inventory, to…”
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Evaluating Word Embedding Feature Extraction Techniques for Host-Based Intrusion Detection Systems by Mvula, Paul K, Branco, Paula, Jourdan, Guy-Vincent, Viktor, Herna L

“…Research into Intrusion and Anomaly Detectors at the Host level typically pays much attention to extracting attributes from system call traces. These include…”
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A systematic literature review of cyber-security data repositories and performance assessment metrics for semi-supervised learning by Mvula, Paul K, Branco, Paula, Jourdan, Guy-Vincent, Viktor, Herna L

“…In Machine Learning, the datasets used to build models are one of the main factors limiting what these models can achieve and how good their predictive…”
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