Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning حسب Zulfiqar Ali (117651)

"…This paper aims to optimize the delay in LoRaWAN by using an Adaptive Scheduling Algorithm (ASA) with an unsupervised probabilistic approach called Gaussian Mixture Model (GMM). …"

A kernelization algorithm for d-Hitting Set حسب Abu-Khzam, Faisal N.

"…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …"
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NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM حسب Kamel, M.S.

"…The performance of the new algorithms is compared with the fuzzy c-means algorithm by testing them on four published data sets. …"
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Secure Storage of Crypto Wallet Seed Phrase Using ECC and Splitting Technique حسب Syeda Tayyaba Bukhari (21842078)

Graph Contraction for Mapping Data on Parallel Computers حسب Mansour, N.

"…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …"
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Mapping realistic data sets on parallel computers حسب Mansour, N.

"…The GC algorithm allows large-scale mapping to become efficient, especially when slow but high-quality mappers are used.…"
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Parallel genetic algorithm for disease-gene association حسب Mansour, Nashat

"…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…"
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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St... حسب Mohamed Elsayed Saad Aboudonya (18466385)

"…The sample size consisted of three groups of front-line multidisciplinary obstetric maternal resuscitation teams (physicians, midwives, and nurses) divided into a pre-test group (N=30) and post-test group (N=30). The multidisciplinary resuscitation teams were observed during the cardiac arrest mock drills both before and after conducting the multidisciplinary resuscitation simulation-based training program and the introduction of the maternal resuscitation algorithm pathway against seven KPIs. …"

Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

"…The main procedure of the PSO algorithm is presented. Future researchers can use the collected data in this survey as baseline information on the PSO and PSO's applications.…"
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New enumeration algorithm for regular boolean functions حسب Nasrallah, Walid F.

"…This algorithm exploits the equivalence between regular Boolean functions and positive threshold functions that can be used to represent instances of the knapsack problem. …"
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Intelligent Fusion of Deep Features for Improved Waste Classification حسب Kashif Ahmad (12592762)

A Geometric-Primitives-Based Compression Scheme for Testing Systems-on-a-Chip حسب El-Maleh, Aiman H.

"…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data.…"
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Fuzzy Logic Based Patients' Monitoring System حسب Al-Dmour, Jumana

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Spider monkey optimizations: application review and results حسب Abualigah, Laith

"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation حسب Khaled Dhibi (16891524)

"…The proposed approach deals with system uncertainties (current/voltage variability, noise, measurement errors, ⋯) by using an interval-valued data representation, and with large-scale systems by using a dataset size-reduction framework. …"

An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting حسب Mohamed Massaoudi (16888710)

"…First, the NARXNN model acquires the data to generate a residual error vector. Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …"

Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV حسب Zulkifli, Muhammad

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Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements حسب Stefano Nardean (14151900)

"…<p dir="ltr">This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. …"

Intelligent Bilateral Client Selection in Federated Learning Using Game Theory حسب Wehbi, Osama

"…To overcome this problem, we present in this paper FedMint, an intelligent client selection approach for federated learning on IoT devices using game theory and bootstrapping mechanism. Our solution involves designing (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the new connected IoT devices. …"
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