Recent advances on artificial intelligence and learning techniques in cognitive radio networks حسب Abbas, Nadine

"…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …"
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Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks حسب Mohamed Amjath (17542512)

"…The proposed analytical approach, along with the simulation, are implemented in a real case study of a steel manufacturing setup. Analytical model results are validated using the simulation results, which are proved to be very accurate, with deviations ranges within ±7%.…"

Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation حسب Hariprasath Manoharan (14157966)

"…Five different scenarios are used to test and validate the created model, and in each case, the proposed method is found to be superior to the current methodology in terms of range, energy, density, time periods, and total metrics of operation.…"

Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب Sadah Mohammed (18192859)

"…Correlation results align with the experimental data, affirming the applicability of our framework. Finally, the algorithm is employed in a CO₂ capture case study to generate and select the best-performing novel ILs, which exhibit behavior consistent with established ILs in the literature.…"

Active distribution network type identification method of high proportion new energy power system based on source-load matching حسب Qinlin, Shi

"…Firstly, the typical daily output scenarios of DG are extracted by clustering method, and the generalized load curve model is solved by the optimization algorithm to obtain the source load operation data; Secondly, calculate the source-load matching indicators (including matching performance, matching degree, and matching rate) according to the source load data of each region, and identify the distribution network type according to the range of the index values; Finally, several indicators are introduced to quantify the characteristics of different types of distribution networks. …"
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Detection of statistically significant network changes in complex biological networks حسب Raghvendra Mall (581171)

"…Moreover, the structure of the proposed algorithm allows for a faster parallelized implementation.…"

Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility حسب Islambouli, Rania

"…We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. …"
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On the complexity of multi-parameterized cluster editing حسب Abu-Khzam, Faisal

"…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
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Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

"…We selected fractional repetition coding due to its simple repair mechanism that minimizes the repair and disk access bandwidths together with the property of un-coded repair process. To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …"
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Resilience analytics: coverage and robustness in multi-modal transportation networks حسب Abdelkader Baggag (14153040)

"…However solutions are usually based on eigenvalue decomposition, known to be time consuming and hard to obtain in the case of large systems. In this work, we propose MUME, an efficient algorithm for Multi-modal Urban Mobility Estimation, that takes advantage of the special structure of the supra-Laplacian matrix of the transportation multiplex, to compute the coverage of the system. …"

Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment حسب Safak Bayram (16925975)

"…The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. Five cities with growing populations, namely San Clara, CA, Salt Lake City, UT, Raleigh, NC, Denver, CO, and Los Angeles, CA, are chosen as case studies. …"

Optimization metaheuristic for software testing حسب Mansour, Nashat

"…We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study حسب Masurkar, Faeez

"…Fifth, it is also observed that the actuation and sensing position plays a crucial role in receiving the time-domain data with a sufficient SNR and the one that is easy to analyze and interpret. …"
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LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"

Fuzzy Logic Based Patients' Monitoring System حسب Al-Dmour, Jumana

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Lung nodule classification utilizing support vector machines حسب Mousa, W.A.H.

"…Radiologists fail to diagnose small pulmonary nodules in as many as 30% of positive cases. Many methods have been proposed in the literature such as neural network algorithms. …"
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Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice حسب Turker Tuncer (16677966)

"…The artificial neural network (ANN), support vector machine (SVM) and deep learning models, especially the convolutional neural network (CNN), are the most commonly used machine learning approaches where they proved to be performance in most cases. …"

Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates حسب Ratiba F. Ghachi (14152455)

"…The thin plate and the zigzag cutouts are modelled using the finite element method, and the optimal location and optimal tip mass of the zigzag cutouts are obtained using genetic algorithms through iterative simulations. …"

Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic حسب Saeed Al-Maroof, Rana

"…The data obtained from the study were analyzed by using the partial least squares structural equation modeling (PLS-SEM) and machine learning algorithms. …"
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Predicting stability of classes in an object-oriented system حسب Azar, D.

"…Many metrics have been proposed to assess these software attributes and for this purpose, prediction models have been widely used. However, in almost all cases, these models were not efficient when used to predict the quality characteristics (stability or other) of new unseen software as their prediction accuracy decreases significantly. …"
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