Estimating Construction Project Duration Using a Machine Learning Algorithm by Nasr, Joshua

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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

“…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …”
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Improvement Algorithm for Limited Space Scheduling by Zouein, Pierrette

“…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …”
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

“…Key process variables like melt temperature, mould temperature, hold pressure duration, and pure hold duration are meticulously chosen for study. …”

Machine Learning-Based Approach for EV Charging Behavior by Shahriar, Sakib

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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting by AlSayegh, Hadeel Yacoub

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Developing a UAE-Based Disputes Prediction Model using Machine Learning by Abu Laila, Ibrahim Wasef Subhi

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Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling by Majed Hadid (17148364)

“…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …”

Tourism in Lebanon. (c1998) by Nahle, Diana A.

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MoveSchedule by Zouein, Pierette

“…MoveSchedule establishes a time-space relationship for each activity in the schedule based on alternative resource levels so that tradeoffs between activity duration and space need on site are possible. …”
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Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks by Amirhossein Taherpour (19273879)

“…We assume a fixed duration for the transmission sub-frame within each time frame. …”

Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle by Reza Jafari (3494018)

“…Furthermore, the reduction in sideslip angle, excellent traction through minimizing tire slip ratio, avoiding oversteering and understeering, and maintaining an acceptable range of energy optimization are demonstrated for DRL controllers, especially for the TD3 and CL TD3 algorithms.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of Vehicular Technology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojvt.2025.3606120" target="_blank">https://dx.doi.org/10.1109/ojvt.2025.3606120</a></p>…”

Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP by Abdelhafez, Nada

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Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas by Marwan Dhuheir (19170898)

“…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …”

Control of cardiac alternans by mechanical and electrical feedback by Yapari, Felicia

“…The coupled model includes the active stress which defines the mechanical properties of the tissue and is utilized in the feedback algorithm as an independent input from the pacing based controller realization in alternans annihilation. …”
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Dynamic Layout Planning Using a Hybrid Incremental Solution Method by Zouein, Pierrette

“…Efficiently using site space to accommodate resources throughout the duration of a construction project is a critical problem. …”
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Uplink Noma in UAV-Assisted IoT Networks by Mrad, Ali

“…The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …”
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Predicting User Behavior over the Web by Al Safadi, Amal Adnan

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Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

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