On the Provisioning of Ultra-Reliable Low-Latency Services in IoT Networks with Multipath Diversity حسب Sweidan, Zahraa

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AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics حسب Naila Rabbani (291722)

"…AGEomics biomarkers have been used in diagnostic algorithms using machine learning methods. …"

Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression حسب Alaa Abd-Alrazaq (17430900)

"…Further studies are needed to examine the performance of wearable AI based on a combination of wearable device data and neuroimaging data and to distinguish patients with depression from those with other diseases.…"

Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning حسب Mohamed Massaoudi (16888710)

"…This article provides an updated review of the cutting-edge machine learning and data-driven techniques used for PGP in networked PSs. …"

Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care حسب Regina Padmanabhan (14231606)

"…Hence, for predicting three critical clinical complications, such as sepsis, the presence of multidrug-resistant organisms, and mortality, from the data available from medical records, we used 1166 febrile neutropenia episodes reported in 513 patients. …"

Applications of artificial intelligence in emergency and critical care diagnostics: a systematic review and meta-analysis حسب Jithin Kalathikudiyil Sreedharan (18268894)

"…<h3>Introduction</h3><p dir="ltr">Artificial intelligence has come to be the highlight in almost all fields of science. It uses various models and algorithms to detect patterns and specific findings to diagnose a disease with utmost accuracy. …"

A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security حسب S. Shitharth (12017480)

"…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …"

Applications of artificial intelligence in ultrasound imaging for carpal-tunnel syndrome diagnosis: a scoping review حسب Yosra Magdi Mekki (21673721)

Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review حسب Loay A. Salman (14150322)

A fix and optimize method based approximate dynamic programming approach for the strategic fleet sizing and delivery planning problem حسب Duygu Aghazadeh (22045919)

Learn while tracking. (c2013) حسب Toukhtarian, Raffi

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Industrial Internet of Things enabled technologies, challenges, and future directions حسب Shams Forruque Ahmed (16517712)

"…This paper explores IIoT-enabled technologies and infrastructure, their role in global industrial growth, applications, challenges, and future directions. IIoT applications use the intelligence of things to solve industrial problems like supply chain mismanagement, data privacy risks, a weak cloud strategy, cost containment, and others. …"

Artificial intelligence models for predicting the mode of delivery in maternal care حسب Rawan AlSaad (14159019)

"…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …"

Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions حسب Noor Aboueleneen (17984101)

Self-Checking Hardware Design for Montgomery Exponentiation-Based Cryptography حسب Muhammad Ali Akbar (16875915)

"…<p dir="ltr">Montgomery exponentiation is widely used for public-key-based cryptography systems. The current state-of-the-art designs for this algorithm are well-analyzed in terms of hardware overhead but are not investigated for faults caused by physical attacks. …"

DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs حسب Bahareh Jafari (22501715)

"…Our observations indicate that such a trade-off is more pronounced for spiral trajectories compared to oval trajectories, but both of them are useful depending on the QoS and energy constraints imposed by the system.…"

Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach حسب Mohammad Taghi Dabiri (16904658)

Peripheral inflammatory and metabolic markers as potential biomarkers in treatment-resistant schizophrenia: Insights from a Qatari Cohort حسب Mohamed Adil Shah Khoodoruth (14589828)

Improving Active Resonance Damping and Unbalanced Voltage Mitigation Based on Combined DDSRF and Washout Filter in Islanded Microgrids حسب Ehsan Akbari (10803914)

"…Finally, Level 4 integrates a controller based on extracting positive and negative sequence components using the dual decoupled synchronous reference frame (DDSRF) algorithm. …"

Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers حسب Ali Sharida (17947847)

"…To develop the DT, a dense deep neural network (DNN) machine learning approach is used. The DT is trained offline using a set of experimental data and updated online to get the maximum possible accuracy. …"