A family of minimum curvature variable-methods for unconstrained optimization. (c1998) حسب Obeid, Samir Y.

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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. Extensive simulations show that our model outperforms competitive methods by around 29% in terms of latency and around 23% in terms of transmission power improvements while delivering results comparable to the traditional LDTP optimization solution by around 9% in terms of latency.…"

Decision-level Gait Fusion for Human Identification at a Distance حسب Al-Tayyan, Amer

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Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study حسب Muhammad Atif Butt (10849980)

"…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …"

A fine-grained XML structural comparison approach حسب Tekli, Joe

"…Our approach consists of two main algorithms for discovering the structural commonality between sub-trees and computing tree-based edit operations costs. …"
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Condenser capacity and hyperbolic perimeter حسب Mohamed M.S. Nasser (16931772)

"…<p dir="ltr">We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …"

SemIndex: Semantic-Aware Inverted Index حسب Chbeir, Richard

"…We also provide an extended query model and related processing algorithms with the help of SemIndex. …"
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An XML Document Comparison Framework حسب Tekli, Joe

"…As the Web continues to grow and evolve, more and more information is being placed in structurally rich documents, XML documents in particular, so as to improve the efficiency of similarity clustering, information retrieval and data management applications. Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …"
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Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks حسب Abbas, Nadine

"…We also propose efficient sub-optimal hierarchical tree-based algorithms that operate in real time with dynamic and fast solutions for ultra dense networks. …"
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Transformations for Variants of the Travelling Salesman Problem and Applications حسب Assaf, Mustafa Jamil

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Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations حسب Md Mosarrof Hossen (21399056)

"…To address this challenge, this study aims to optimize household energy consumption while preserving data privacy by proposing an innovative two-stage Federated Learning (FL) framework that delivers real-time micro-moment-based recommendations. Leveraging FL enables efficient model training across diverse end-user applications while preserving data privacy. …"

Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach حسب Mohammad Taghi Dabiri (16904658)

"…To this end, we first characterize a detailed three-dimensional (3D) modeling of the dynamic UAV-assisted HetNet, by taking into account the random positions of small cell base stations (SBSs), spatial angles between THz links, real antenna pattern, and UAV’s vibrations in the 3D space. …"

Design and Analysis of Lightweight Authentication Protocol for Securing IoD حسب Saeed Ullah Jan (9079260)

"…We proposed a hash message authentication code/secure hash algorithmic (HMACSHA1) based robust, improved and lightweight authentication protocol for securing IoD. …"

A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

"…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…"

Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System حسب Sahawneh, Laith Rasmi

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Localizing-ground Transmitters Using Airborne Antenna Array حسب Daffalla, Mirghani Moutaman

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