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pro vyhledávání: '"Rahman, Md Khaledur"'
This article presents a probabilistic modeling method utilizing smart meter data and an innovative agent-based simulator for electric vehicles (EVs). The aim is to assess the effects of different cost-driven EV charging strategies on the power distri
Externí odkaz:
http://arxiv.org/abs/2402.15728
Autor:
Gray, Kathryn, Li, Mingwei, Ahmed, Reyan, Rahman, Md. Khaledur, Azad, Ariful, Kobourov, Stephen, Börner, Katy
Large tree structures are ubiquitous and real-world relational datasets often have information associated with nodes (e.g., labels or other attributes) and edges (e.g., weights or distances) that need to be communicated to the viewers. Yet, scalable,
Externí odkaz:
http://arxiv.org/abs/2305.09925
Autor:
Rahman, Md. Khaledur, Azad, Ariful
Graph Neural Networks (GNNs) are widely used to perform different machine learning tasks on graphs. As the size of the graphs grows, and the GNNs get deeper, training and inference time become costly in addition to the memory requirement. Thus, witho
Externí odkaz:
http://arxiv.org/abs/2208.03559
Autor:
Ahmed, Md Mir Shakib, Hasan, Md. Jahid, Chowdhury, Md. Shakil, Rahman, Md Khaledur, Islam, Md Saiful, Hossain, Md Shakhawat, Islam, Md. Aminul, Hossain, Nayem, Mobarak, Md Hosne
Publikováno v:
In Chemical Engineering Journal Advances 15 November 2024 20
Autor:
Ghosh, Avijit, Islam, Md Saiful, Rahman, Md Khaledur, Islam Buian, Mohammad Fokhrul, Hassan, Abeer A., Alrafai, H.A., Alla Abdelrahim, Siham Khalaf
Publikováno v:
In Materials Science & Engineering B September 2024 307
Most real-world networks contain well-defined community structures where nodes are densely connected internally within communities. To learn from these networks, we develop MarkovGNN that captures the formation and evolution of communities directly i
Externí odkaz:
http://arxiv.org/abs/2202.02470
Autor:
Rahman, Md. Khaledur, Azad, Ariful
Graph representation learning is a fast-growing field where one of the main objectives is to generate meaningful representations of graphs in lower-dimensional spaces. The learned embeddings have been successfully applied to perform various predictio
Externí odkaz:
http://arxiv.org/abs/2112.10372
Publikováno v:
Phys. Rev. D 105, 046011 (2022)
We study the complexity for an open quantum system. Our system is a harmonic oscillator coupled to a one-dimensional massless scalar field, which acts as the bath. Specifically, we consider the reduced density matrix by tracing out the bath degrees o
Externí odkaz:
http://arxiv.org/abs/2112.03955
Autor:
Hossain, Nayem, Mahmud, Md Zobair Al, Hossain, Amran, Rahman, Md Khaledur, Islam, Md Saiful, Tasnim, Rumana, Mobarak, Md Hosne
Publikováno v:
In Results in Engineering June 2024 22
Data visualization is the process by which data of any size or dimensionality is processed to produce an understandable set of data in a lower dimensionality, allowing it to be manipulated and understood more easily by people. The goal of our paper i
Externí odkaz:
http://arxiv.org/abs/2107.01887