Resource allocation functionality with cluster aggregation (RAFCA) for secure HST video transmission by Elias Yaacoub (14150586)

“…<div><p>This paper presents an approach for resource allocation functionality with cluster aggregation (RAFCA) for securely transmitting surveillance videos in high-speed trains (HSTs). …”

A Novel Two-Fold Loss Function for Data Clustering and Reconstruction: Application to Document Analysis by Mebarka Allaoui (17983795)

“…Furthermore, the cornerstone of the proposed architecture lies in training the autoencoder using a two-fold objective function that jointly incorporates the data’s reconstruction and clustering. …”

Test of the clustering hypothesis in the Helsinki Exchanges by Ben Sita, Bernard

“…Precisely, 1) the larger the trading volume, the greater the impact on prices both in the short and the long run, thus prices will differ across quantities. 2) Large trading volume is a non-linear function of price changes in the long run. 3) Arrival times are positively autocorrelated, indicating a clustering pattern and 4) Information arrivals as approximated by durations are negatively related to trading flow.…”
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Parallelizing Tabu Search on a Cluster of HeterogeneousWorkstations by Al-Yamani, Ahmad

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Kuznetsov–Ma rogue wave clusters of the nonlinear Schrödinger equation by Sarah Alwashahi (17785673)

“…<p dir="ltr">In this work, we investigate rogue wave (RW) clusters of different shapes, composed of Kuznetsov–Ma solitons (KMSs) from the nonlinear Schrödinger equation (NLSE) with Kerr nonlinearity. …”

Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence by Atiq Ur Rehman (8843024)

“…An extensive experimentation is carried out to optimize twelve benchmark functions using the proposed Multi-Cluster Jumping PSO and a significant difference is observed in the convergence speed of the proposed method over the existing state-of-the-art approaches.…”

Dynamic Clusters to Infer Topologic Controls on Environmental Transport of River Networks by Tejedor, Alejandro

“…To investigate impacts of RN’s topology on transport processes, we introduce a systematic framework based on the concept of dynamic clusters, where the connectivity of subcatchments is assessed according to two complementary criteria: minimum- and maximum-flow connectivity. …”
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Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation by Hariprasath Manoharan (14157966)

“…In the predicted model, an analytical framework is created to operate the robot within predetermined areas while maximizing communication ranges. Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …”

Detecting attacks in a cluster based QOS-OLSR protocol. (c2014) by Sanadiki, Hiba

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An estimation on the mechanical stabilities of SAMs by low energy Ar+ cluster ion collision by Y. Tong (18394389)

“…The stability of the considered SAMs before and after electron-irradiation is studied using low energy Ar+ cluster depth profiling monitored by recording the X-ray photoelectron spectroscopy (XPS) core level spectra and the UV-photoelectron spectroscopy (UPS) in the valance band range. …”

Patterned Substrate of Mobile and Immobile Ligands to Probe EphA2 Receptor Clustering by Zhongwen Chen (770401)

“…<p dir="ltr">A multitude of membrane-localized receptors are utilized by cells to integrate both biochemical and physical signals from their microenvironment. The clustering of membrane receptors is widely presumed to have functional consequences for subsequent signal transduction. …”

Sequence conservation and variability of imprinting in the Beckwith–Wiedemann syndrome gene cluster in human and mouse by El-Maarri, Osman

“…This first comparative imprinting cluster analysis revealed a high structural and functional conservation of the six orthologous genes identified. …”
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Effectiveness of community pharmacist-led interventions in osteoarthritis pain management: A cluster-randomized trial by Parbati, Thapa

“…While pain scores improved, physical functional score, depression, and quality of life score remained unchanged. …”
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Probing the effect of clustering on EphA2 receptor signaling efficiency by subcellular control of ligand-receptor mobility by Zhongwen Chen (770401)

“…<div><p>Clustering of ligand:receptor complexes on the cell membrane is widely presumed to have functional consequences for subsequent signal transduction. …”

UAV-assisted Multi-tier Computing Framework for IoT Networks by Tout, Abeer

“…The first subproblem minimizes the number of IoT clusters and positions a UAV to serve each cluster while the second subproblem maximizes the percentage of admitted tasks using the resulting number of UAVs determined by the first subproblem. …”
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

“…The main idea of applying OLB and LF is to improve the traditional AOA exploration and exploitation trends in order to find the best clusters. To evaluate the AAOA, we implemented extensive experiments using twenty-three well-known benchmark functions and eight data clustering datasets. …”

Functional Connectivity Analysis under Vigilance Decrement and Enhanced Mental States by Hassanin, Omnia

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The effect of doping MoSe₂ by clusters of noble metals on its adsorption for NH₃ by Ahmad I. Ayesh (10188469)

“…Pristine and noble metal doped MoSe₂ structures are examined computationally using density functional theory (DFT). Clusters of timers of each Pt, Au, and Ag along with their combination are utilized for doping. …”

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

“…Sometimes, this creates hurdles for the clusters to form a cluster head and, finally, abandons the cluster. …”

Random vector functional link network: Recent developments, applications, and future directions by A.K. Malik (16003193)

“…<p>Neural networks have been successfully employed in various domains such as classification, regression and clustering, etc. Generally, the back propagation (BP) based iterative approaches are used to train the neural networks, however, it results in the issues of local minima, sensitivity to learning rate and slow convergence. …”