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system algorithm » swarm algorithm (Expand Search)
multi algorithm » mould algorithm (Expand Search), auction algorithm (Expand Search)
complex system » complaint system (Expand Search)
finding » findings (Expand Search)
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Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Published 2021“…Machine learning (ML) algorithms are thus providing the necessary tools to augment the capabilities of SHM systems and provide intelligent solutions for the challenges of the past. …”
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Structural similarity evaluation between XML documents and DTDs
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AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients
Published 2015“…As a result, they often follow a trial and error approach until they find the individualized insulin dosage, required for each patient, to reach their optimal glucose level. …”
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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
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MoveSchedule
Published 1995“…The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …”
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Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review
Published 2025“…</p><h3>Conclusion</h3><p dir="ltr">AI algorithms show promise in detecting and subtyping medulloblastomas, but the findings are limited by overreliance on one dataset, small sample sizes, limited study numbers, and lack of meta-analysis Future research should develop larger, more diverse datasets and explore advanced approaches like deep learning and foundation models. …”
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Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks
Published 2018“…We generate results as a function of a wide range of system parameters, and demonstrate that the proposed algorithms achieve near-optimal performance with notably low time complexity.…”
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From Collatz Conjecture to chaos and hash function
Published 2023“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data
Published 2024“…The classification algorithms were able to predict the pass/fail statues with up to 93.5% accuracy. …”
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Peripheral inflammatory and metabolic markers as potential biomarkers in treatment-resistant schizophrenia: Insights from a Qatari Cohort
Published 2024“…Key measurements included complete blood count, lipid panel, HbA1c, and ferritin levels. Our findings indicated elevated body mass index (BMI) and triglyceride (TG) levels in both patient groups compared to controls. …”
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Uplink Noma in UAV-Assisted IoT Networks
Published 2022“…The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …”
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Single-Cell Transcriptome Analysis Highlights a Role for Neutrophils and Inflammatory Macrophages in the Pathogenesis of Severe COVID-19
Published 2020“…Herein, we employed iterative clustering and guide-gene selection 2 (ICGS2) as well as uniform manifold approximation and projection (UMAP) dimensionality reduction computational algorithms to decipher the complex immune and cellular composition of BAL, using publicly available datasets from a total of 68,873 single cells derived from two healthy subjects, three patients with mild COVID-19, and five patients with severe COVID-19. …”
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Developing a UAE-Based Disputes Prediction Model using Machine Learning
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Artificial intelligence models for predicting the mode of delivery in maternal care
Published 2025“…</p><h3>Conclusion</h3><p dir="ltr">The findings validate the potential of AI algorithms not only to accurately predict the mode of delivery using antepartum data but also to identify key contributing factors. …”
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Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…In this study, I conduct a performance evaluation and comparison for various DL algorithms (LSTM, GRU, LSTM-ATT, CNN-BLSTM, CNN-LSTM, CNN-BILSTM-LSTM, and LSTM-TCN) on different datasets of Arabic cyberbullying to obtain more precise and dependable findings. …”
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Sentiment visualization of correlation of loneliness mapped through social intelligence analysis
Published 2024“…<h3>Background</h3><p dir="ltr">Loneliness is a global public health issue affecting a considerable number of people as well as burdening the public health system and increasing the risk of other life-threatening and life-damaging conditions. …”
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Innovating for the Future Through Technology-Mediated HRM
Published 2024“…With the lack of human managers in certain employment settings (e.g. platform-based gig work), HRM activities are primarily outsourced to algorithmic systems and, in some cases, customers, who engage in performance management processes by submitting anonymous ratings of workers. …”
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