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Driven by the rapid ascent of artificial intelligence (AI), organizations are at the epicenter of a seismic shift, facing a crucial question: How can AI be successfully integrated into existing operations? To help answer it, manage…

Software Engineering · Computer Science 2024-02-09 Tamen Jadad-Garcia , Alejandro R. Jadad

As humans advance toward a higher level of artificial intelligence, it is always at the cost of escalating computational resource consumption, which requires developing novel solutions to meet the exponential growth of AI computing demand.…

Insufficient data volume and quality are particularly pressing challenges in the adoption of modern subsymbolic AI. To alleviate these challenges, AI simulation uses virtual training environments in which AI agents can be safely and…

Artificial Intelligence · Computer Science 2025-09-01 Xiaoran Liu , Istvan David

High Performance Computing (HPC) is intrinsically linked to effective Data Center Infrastructure Management (DCIM). Cloud services and HPC have become key components in Department of Defense and corporate Information Technology competitive…

The energy consumption of Data Centers (DCs) is a very important figure for the telecommunications operators, not only in terms of cost, but also in terms of operational reliability. A relation between the energy consumption and the weather…

Other Computer Science · Computer Science 2018-05-31 Georgios Smpokos , Mohamed A. Elshatshat , Athanasios Lioumpas , Ilias Iliopoulos

Although digital twins have recently emerged as a clear alternative for reliable asset representations, most of the solutions and tools available for the development of digital twins are tailored to specific environments. Furthermore,…

Software Engineering · Computer Science 2023-01-16 Julia Robles , Cristian Martín , Manuel Díaz

The rapid development of AI highlights the pressing need for sustainable energy, a critical global challenge for decades. Nuclear fusion, generally seen as an ultimate solution, has been the focus of intensive research for nearly a century,…

Effective monitoring of freight transportation is essential for advancing sustainable, low-carbon economies. Traditional methods relying on single-modal data and discrete simulations fall short in optimizing intermodal systems holistically.…

Computers and Society · Computer Science 2024-10-25 Xueping Li , Haowen Xu , Jose Tupayachi , Olufemi Omitaomu , Xudong Wang

Data centers form a key part of the infrastructure upon which a variety of information technology services are built. They provide the capabilities of centralized repository for storage, management, networking and dissemination of data.…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-06-06 Mueen Uddin , Azizah Abdul Rahman

The unprecedented rapid growth of computing demand for AI is projected to increase global annual datacenter (DC) growth from 7.2% to 11.3%. We project the 5-year AI DC demand for several power grids and assess whether they will allow…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-01 Liuzixuan Lin , Rajini Wijayawardana , Varsha Rao , Hai Nguyen , Wedan Emmanuel Gnibga , Andrew A. Chien

Digital twin (DT) technologies have emerged as a solution for real-time data-driven modeling of cyber physical systems (CPS) using the vast amount of data available by Internet of Things (IoT) networks. In this position paper, we elucidate…

Networking and Internet Architecture · Computer Science 2022-04-12 Jithin Jagannath , Keyvan Ramezanpour , Anu Jagannath

The recent growth of Artificial Intelligence (AI), particularly large language models, requires energy-demanding high-performance computing (HPC) data centers, which poses a significant burden on power system capacity. Scheduling data…

Systems and Control · Electrical Eng. & Systems 2024-12-17 Yihong Zhou , Angel Paredes , Chaimaa Essayeh , Thomas Morstyn

Calibration of dynamic models to data is an important step in building building digital twins of HVAC equipment, thermal loads and control systems. Sometimes, when a model fails to calibrate to data, a possible cause is that the model has…

Computational Engineering, Finance, and Science · Computer Science 2026-03-18 Sebastian Micluta-Campeanu , Avinash Subramanian , Anas Abdelrehim , Ranjan Anantharaman , Rohit Dhumane , Brad Carman , Chris Rackauckas

As nuclear facilities experience digital transformation and advanced reactor development, AI integration, cyber-physical security, and other emerging technologies such as autonomous robot operations are increasingly developed. However,…

We present a computationally tractable framework for real-time predictive control of multi-chiller plants that involve both discrete and continuous control decisions coupled through nonlinear dynamics, resulting in a mixed-integer optimal…

Systems and Control · Electrical Eng. & Systems 2026-03-31 Ján Boldocký , Cary Faulkner , Elad Michael , Martin Gulan , Aaron Tuor , Ján Drgoňa

Over the years, Digital Twin (DT) has become popular in Advanced Manufacturing (AM) due to its ability to improve production efficiency and quality. By creating virtual replicas of physical assets, DTs help in real-time monitoring, develop…

Computational Engineering, Finance, and Science · Computer Science 2024-11-05 Chas Hamel , Md Manjurul Ahsan , Shivakumar Raman

Digital transformation in the built environment offers new opportunities to improve building maintenance through data-driven approaches. Smart monitoring, predictive modeling, and artificial intelligence can enhance decision-making and…

Systems and Control · Electrical Eng. & Systems 2025-09-05 Zhongjun Ni

Data centers have become one of the major energy consumers, making their low-carbon operations critical to achieving global carbon neutrality. Although distributed data centers have the potential to reduce costs and emissions through…

Systems and Control · Electrical Eng. & Systems 2024-12-31 Rui Xie , Yue Chen , Xi Weng

This paper addresses the challenge of representing complex human action (HA) in a nuclear power plant (NPP) digital twin (DT) and minimizing latency in partial computation offloading (PCO) in sixth-generation-enabled computing in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-18 Ibrahim Aliyu , Awwal M. Arigi , Tai-Won Um , Jinsul Kim

Emerging from NASA's spacecraft simulations in the 1960s, digital twin technology has advanced through industrial adoption to spark a healthcare transformation. A digital twin is a dynamic, data-driven virtual counterpart of a physical…

Artificial Intelligence · Computer Science 2025-11-27 Yunqi Zhang , Kuangyu Shi , Biao Li