The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review حسب Zainab Jan (17306614)

"…We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …"

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). …"

Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges حسب Sk Injamamul Islam (14111241)

"…Here, we highlighted the potential of machine learning algorithms in early pathogen detection and the possibilities of intelligent aquaculture in controlling disease outbreaks at the farm level. …"

An intelligent EPROM silicon compiler حسب Amin, A.

"…A knowledge-based kernel determines the chip architecture and required circuit blocks and calls appropriate module generators for each block. Routing algorithms are then used to connect these blocks into a full chip…"
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Secure and Anonymous Communications Over Delay Tolerant Networks حسب Spiridon Bakiras (16896408)

"…Instead, our work introduces a novel message forwarding algorithm that delivers messages, from source to destination, via a random walk process. …"

XBeGene: Scalable XML Documents Generator by Example Based on Real Data حسب Harazaki, Manami

"…Tools for generating synthetic XML documents underline an alternative solution, promoting flexibility and adaptability in generating synthetic document collections. Nonetheless, the usefulness of existing XML generators remains rather limited due to the restricted levels of expressiveness allowed to users. …"
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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy حسب Haniyeh, Maryam

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Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series حسب Lasfer, Assia

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Scrambled Prime Key Encryption حسب Haraty, Ramzi A.

"…To enhance data security different cryptographic algorithms are used. Nevertheless, but the fast increase in computers' speed may threaten these algorithms. …"
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Towards Multimedia Fragmentation حسب Saad, Samir

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Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review حسب Arfan Ahmed (17541309)

"…Wearable devices (WDs) make use of sensors historically reserved for hospital settings. …"

Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases حسب Muhammad Ali Muzammil (17910611)

"…To guarantee a safe and successful deployment in clinical practice, the use of AI in cardiology must be done with a thorough understanding of the algorithms and their limits. …"

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

"…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. …"

Data Redundancy Management in Connected Environments حسب Mansour, Elio

"…To address these limitations, we propose a framework for data redundancy management at the device level, denoted DRMF. We describe its modules, and clustering-based algorithms. …"
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Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review حسب Yazeed Yasin Ghadi (16667109)

"…Furthermore, this study also focuses on different Machine learning algorithms that are used to secure wireless sensor networks. …"

Triage decisions for ICU admission حسب Blanch, Lluis

"…The team made recommendations and concluded that triage should be led by intensivists considering input from nurses, emergency medicine professionals, hospitalists, surgeons, and allied professionals. Triage algorithms and protocols can be useful but can never supplant the role of skilled intensivists basing their decisions on input from multidisciplinary teams. …"
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Data redundancy management for leaf-edges in connected environments حسب Mansour, Elio

"…To address these limitations, we propose here DRMF: Data Redundancy Management for leaF-edges allowing to identify and remove data redundancies in connected environments at the device level. DRMF considers both static and mobile edge devices, and provides two algorithms for temporal and spatio-temporal redundancy detection. …"
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Optimising Nurse–Patient Assignments: The Impact of Machine Learning Model on Care Dynamics—Discursive Paper حسب Mutaz I. Othman (21186827)

"…</p><h3>Methods</h3><p dir="ltr">A discursive approach was used to optimise nurse–patient assignments and the impact of ML models. …"

Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures حسب JUMA, MAZEN GHAZI

"…The technology stack was also enhanced with three new algorithms and five protocols. The proposed solution was optimized using the iterative four-objective cycle based on previous primary phase results. …"
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Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling حسب Majed Hadid (17148364)

"…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. The experimental results indicate the positive effect of clustering similar appointments on the performance measures and the computational time. …"