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1581
Security Performance Analysis of Downlink Double Intelligent Reflecting Surface Non-Orthogonal Multiple Access Network for Edge Users
Published 2025-02-01“…Based on the analytical results, we develop an ASR optimization algorithm using the alternating optimization method, combining NOMA power allocation factor optimization and IRS passive beam optimization through the Lagrange double transform. …”
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1582
Computer-Driven Assessment of Weighted Attributes for E-Learning Optimization
Published 2025-03-01“…This study explores the application of artificial intelligence algorithms to optimize e-learners’ studying within a generalized e-course framework. …”
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1583
Multi-Intelligent Reflecting Surfaces and Artificial Noise-Assisted Cell-Free Massive MIMO Against Simultaneous Jamming and Eavesdropping
Published 2024-11-01“…First, an access point (AP) selection strategy based on user location information is designed, which aims to determine the set of APs serving users. Then, a joint optimization framework based on the block coordinate descent (BCD) algorithm is constructed, and a non-convex optimization solution based on the univariate function optimization and semi-definite relaxation (SDR) is proposed with the aim of maximising the minimum achievable secrecy rate for users. …”
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1584
Artificial Intelligence-Assisted Clinical Decision-Making: A Perspective on Advancing Personalized Precision Medicine for Elderly Diabetes Patients
Published 2025-08-01“…Through systematic analysis of current healthcare practices and emerging AI technologies, we examined the integration of machine learning algorithms, natural language processing, and intelligent monitoring systems into diabetes care for elderly populations. …”
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1585
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1586
Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques
Published 2025-02-01“…The study shows that the stacking ensemble models outperformed individual algorithms. The optimum model for δ¹ ⁸O (O_M1) was achieved with R² of 0.9858, MAE of 0.0440, and Pearson correlation of 0.9941. for δ²H the optimal model (H_M1) was achieved with R² of 0.9317, MAE of 0.5334, and Pearson correlation of 0.9658. …”
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1587
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1588
Current state and prospects of development of energy-optimal control systems for 2ES6 electric locomotives
Published 2024-09-01“…An analysis of current trends in energy saving and increasing the efficiency of traction energy resources in railway transport and their impact on haulage of trains shows that train guidance based on machine learning and artificial intelligence remains poorly researched. The study is primarily intended to determine the actual use of automation of goods train driving in the sections of the Ural-Siberian railway proving ground and its impact on the energy-optimal schedule of completed train operations.Materials and methods. …”
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1589
Design Method of Intelligent Ropeway Type Line Changing Robot Based on Lifting Force Control and Synovial Film Controller
Published 2022-01-01“…The results show that the maximum operating time, maximum climbing angle, and maximum traveling speed of the robot developed in this study are all optimal, which are 45 min, 10°, and 1 m/s respectively, and the performance is better than the other three comparison algorithms.…”
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1590
Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities
Published 2025-02-01“…Eventually, the walrus optimization algorithm (WOA) is used for hyperparameter tuning to improve the parameters of the SSAE approach and achieve optimal performance. …”
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1591
Smart Charging and V2G: Enhancing a Hybrid Energy Storage System with Intelligent and Bidirectional EV Charging
Published 2025-02-01“…This environment facilitates comprehensive investigations into EV behavior, charging strategies, control algorithms, and user interactions. It provides a platform for exploring the possibilities, limitations, and optimal use cases for smart charging and hybrid storage systems in practice.…”
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1592
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1593
Cutting-Edge Phishing Detection Using Novel Features and Hybrid Machine Learning Techniques
Published 2025-03-01Get full text
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1594
A Lightweight, Intelligent Autonomous Exploration System for Indoor Robots Using Improved Random Walk With Back-Off Strategies
Published 2025-01-01“…This study presents the Intelligent Exploration (IE) algorithm, an innovative method that integrates an improved random walk technique, real-time LiDAR-based obstacle avoidance, and a strategic back-off mechanism to optimize exploration efficiency. …”
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1595
A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images
Published 2021-01-01“…The proposed method includes four core steps: (i) preparing a database of three different classes such as COVID-19, pneumonia, and normal; (ii) modifying three pretrained deep learning models such as VGG16, ResNet50, and ResNet101 for the classification of COVID-19-positive scans; (iii) proposing an activation function and improving the firefly algorithm for feature selection; and (iv) fusing optimal selected features using descending order serial approach and classifying using multiclass supervised learning algorithms. …”
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1596
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1597
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1598
Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry
Published 2025-01-01“…This is the first worldwide study proving the accuracy of a ML model for differentiation of motility patterns in HR-ARM, demonstrating the value of artificial intelligence models in optimizing HR-ARM availability while reducing interobserver variability and increasing accuracy.…”
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1599
Cervical cancer demystified: exploring epidemiology, risk factors, screening, treatment modalities, preventive measures, and the role of artificial intelligence
Published 2025-05-01“…This review aims to summarize current evidence on cervical cancer prevention, screening, and treatment, emphasizing the emerging role of artificial intelligence (AI) in improving diagnostic and therapeutic approaches. …”
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1600
Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran
Published 2025-06-01“…Abstract The rate of penetration (ROP) is a critical parameter for optimizing oil well drilling and the overall cost of drilling operations. …”
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