127 citations · 189 across the 17 of their papers we have counts for
21 papers
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks
Firas Bayram, Phil Aupke, Bestoun S. Ahmed +3
Load forecasting is a crucial topic in energy management systems (EMS) due to its vital role in optimizing energy scheduling and enabling more flexible and intelligent power grid s…
Automated and Systematic Digital Twins Testing for Industrial Processes
Yunpeng Ma, Khalil Younis, Bestoun S. Ahmed +4
Digital twins (DT) of industrial processes have become increasingly important. They aim to digitally represent the physical world to help evaluate, optimize, and predict physical p…
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors
Firas Bayram, Bestoun S. Ahmed, Andreas Kassler
The dynamicity of real-world systems poses a significant challenge to deployed predictive machine learning (ML) models. Changes in the system on which the ML model has been trained…
Using Deep Reinforcement Learning for Zero Defect Smart Forging
Yunpeng Ma, Andreas Kassler, Bestoun S. Ahmed +4
Defects during production may lead to material waste, which is a significant challenge for many companies as it reduces revenue and negatively impacts sustainability and the enviro…
Next generation IEEE 802.11 Wireless Local Area Networks: Current status, future directions and open challenges
Boris Bellalta, Luciano Bononi, Raffaele Bruno +1
new generation of Wireless Local Area Networks (WLANs) will make its appearance in the market in the forthcoming years based on the amendments to the IEEE 802.11 standards that hav…
Adaptive Cheapest Path First Scheduling in a Transport-Layer Multi-Path Tunnel Context
Marcus Pieska, Alexander Rabitsch, Anna Brunstrom +2
Bundling multiple access technologies increases capacity, resiliency and robustness of network connections. Multi-access is currently being standardized in the ATSSS framework in 3…