Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies حسب Mohamed, Eman

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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.…"

Parallel tabu search in a heterogeneous environment حسب Al-Yamani, A.

"…We discuss a parallel tabu search algorithm with implementation in a heterogeneous environment. …"
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Integrating Quality And Maintenance Decisions In A Production- Inventory Model For Deteriorating Items حسب Alfares, HK

"…A model is formulated to integrate several realistic aspects, including item and process deterioration, varying demand and production rates, quality, inspection, and maintenance. A heuristic solution algorithm is developed to determine the production and inspection schedules, and a numerical example is solved.…"
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Practical Multiple Node Failure Recovery in Distributed Storage Systems حسب Itani, M.

"…The problem is solved using genetic algorithms that search within the feasible solution space. …"
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Unit commitment by tabu search حسب Mantawy, A.H.

"…The former is solved using the tabu search algorithm (TSA) while the latter problem is solved via a quadratic programming routine. …"
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Repeat Inspection Planning Using Dynamic Programming حسب Elshafei, M.

"…The dynamic programming algorithm searches for a solution that minimizes the total cost of inspection per accepted component. …"
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Practical single node failure recovery using fractional repetition codes in data centers حسب Itani, May

"…This makes our work practical to apply. Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …"
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Vehicle Relocation in One-Way Carsharing: A Review حسب Afnan Fayez Eliyan (19237123)

"…To this end, this paper reviews the vehicle imbalance problem that arises in this field and the solution algorithms that solve them.</p><h2>Other Information</h2><p dir="ltr">Published in: Sustainability<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/su16031014" target="_blank">https://dx.doi.org/10.3390/su16031014</a></p>…"

Designing Cellular Mobile Networks Using Non{Deterministic Iterative Heuristics حسب Sait, Sadiq M.

"…As a classic instance of the NP-hard Quadratic Assignment Problem (QAP), deterministic algorithms are incapable of nding optimal solutions in the vast complex search space in polynomial time. …"
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A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks حسب Yassine Himeur (14158821)

"…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. …"

Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids حسب Alshaal, Dima

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A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem حسب Habchi, Wassim

"…Suitable stabilization techniques are used to extend the solution to the case of highly loaded contacts. The complexity is the same as for classical algorithms, but an improved convergence rate, a reduced size of the problem and a sparse Jacobian matrix are obtained. …"
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Repeat Inspection Planning Using Dynamic Programming حسب Duffuaa, S. O.

"…The dynamic programming algorithm searches for a solution that minimizes the total cost of inspection per accepted component. …"
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A synchronous/asynchronous multi-master replication method. (c2007) حسب Chahine, Amer Mohammad Kheir

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Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3 حسب Chakar, Joseph

"…Deep learning algorithms have demonstrated remarkable performance in many sectors and have become one of the main foundations of modern computer-vision solutions. …"
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Coronavirus herd immunity optimizer (CHIO) حسب Abou Doush, Iyad

"…In this paper, a new nature-inspired human-based optimization algorithm is proposed which is called coronavirus herd immunity optimizer (CHIO). …"
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The bus sightseeing problem حسب Qian Hu (205735)

"…A mixed-integer programming formulation for the BSP is provided and solved by a Benders decomposition algorithm. For large-scale instances, an iterated local search based metaheuristic algorithm is developed with some tailored neighborhood operators. …"

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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Next-generation energy systems for sustainable smart cities: Roles of transfer learning حسب Yassine Himeur (14158821)

"…However, training machine learning algorithms to perform various energy-related tasks in sustainable smart cities is a challenging data science task. …"