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BioNetApp: An interactive visual data analysis platform for molecular expressions
منشور في 2019"…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…"
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SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data
منشور في 2018"…This paper describes SemIndex+, a semantic-aware indexing and querying framework that allows semantic search, result selection, and result ranking of structured (relational DB-style), unstructured (IR-style), and partly structured (NoSQL) data. Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …"
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Practical single node failure recovery using fractional repetition codes in data centers
منشور في 2016"…Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …"
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Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare
منشور في 2007"…To make the process of damage assessment and recovery fast and efficient and in order not to scan the whole log, researchers have proposed different methods for segmenting the log, and accordingly presented different damage assessment and recovery algorithms. …"
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Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
منشور في 2021"…A detailed analysis of the ML pipelines is provided, and the in-demand methods and algorithms are summarized in augmentative tables and figures. …"
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127
Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
منشور في 2018"…Educational Data Mining (EDM) is the process of discovering information and relationships from educational data for better understanding of students’ performance, and characteristics of their education providers. …"
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Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
منشور في 2017"…In contrast to traditional approaches on this topic, this dissertation seeks to analyze the depth of users’ engagement with social media posts and discuss the basis for a predictive model that to predict the total engagement of a post before publishing. At the beginning, a data set was collected from Crowdbabble online tool and the collected dataset presented different periods and different social media networks to examine the user behavior at different times. …"
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A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation
منشور في 2024"…<p dir="ltr">In the realm of Emergency Medical Services (EMS), the integration of Machine Learning (ML) techniques has emerged as a catalyst for revolutionizing ambulance operations. ML algorithms could play a pivotal role in dynamically allocating resources, devising efficient routes, and predicting demand patterns. …"
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Large-scale annotation dataset for fetal head biometry in ultrasound images
منشور في 2023"…Its detailed annotations, broad compatibility, and ethical compliance make it a highly reusable and adaptable tool for the development of algorithms aimed at improving maternal and Fetal health.…"
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132
Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform
منشور في 2022"…Furthermore, to assess the overhead of the proposed privacy algorithms on the trading execution time, we conduct several experiments considering different anonymity levels <i>k</i> . …"
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Finetuning Analytics Information Systems for a Better Understanding of Users: Evidence of Personification Bias on Multiple Digital Channels
منشور في 2023"…<p dir="ltr">Although the effect of hyperparameters on algorithmic outputs is well known in machine learning, the effects of hyperparameters on information systems that produce user or customer segments are relatively unexplored. …"
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A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation
منشور في 2021"…The proposed approach deals with system uncertainties (current/voltage variability, noise, measurement errors, ⋯) by using an interval-valued data representation, and with large-scale systems by using a dataset size-reduction framework. …"
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The use of multi-task learning in cybersecurity applications: a systematic literature review
منشور في 2024"…Most of the studies used supervised learning algorithms, and there were very limited studies that focused on other types of machine learning. …"
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From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors
منشور في 2021"…We also present a set of best practices to follow to obtain high-quality data from these low-cost sensors.…"
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IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture
منشور في 2025"…The IoMT manufacturers need to offer their products at a competitive price, which forces them to use simplified architecture, leaving limited and, to some extent, no scope to employ sophisticated cybersecurity algorithms. As a result, IoMT has become a lucrative practice ground for cybercriminals. …"
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