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Power system time series analytics is critical in understanding the system operation conditions and predicting the future trends. Despite the wide adoption of Artificial Intelligence (AI) tools, many AI-based time series analytical models…

Signal Processing · Electrical Eng. & Systems 2025-11-12 Zhenghao Zhou , Yiyan Li , Xinjie Yu , Runlong Liu , Zelin Guo , Zheng Yan , Mo-Yuen Chow , Yuqi Yang , Yang Xu

Deep Generative Models (DGMs) have rapidly advanced in recent years, becoming essential tools in various fields due to their ability to learn complex data distributions and generate synthetic data. Their importance in transportation…

Machine Learning · Computer Science 2026-01-28 Seongjin Choi , Zhixiong Jin , Seung Woo Ham , Jiwon Kim , Lijun Sun

The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and drive innovation. This paper provides a comprehensive…

By integrating Artificial Intelligence (AI) with the Internet of Things (IoT), Artificial Intelligence of Things (AIoT) has revolutionized many fields. However, AIoT is facing the challenges of energy consumption and carbon emissions due to…

Networking and Internet Architecture · Computer Science 2024-07-18 Jinbo Wen , Ruichen Zhang , Dusit Niyato , Jiawen Kang , Hongyang Du , Yang Zhang , Zhu Han

Generative AI (GenAI) has emerged as a transformative technology, enabling customized and personalized AI-generated content (AIGC) services. In this paper, we address challenges of edge-enabled AIGC service provisioning, which remain…

Machine Learning · Computer Science 2024-11-05 Zhang Liu , Hongyang Du , Xiangwang Hou , Lianfen Huang , Seyyedali Hosseinalipour , Dusit Niyato , Khaled Ben Letaief

This paper takes an exploratory approach to examine the use of ChatGPT for pattern mining. It proposes an eight-step collaborative process that combines human insight with AI capabilities to extract patterns from known uses. The paper…

Artificial Intelligence · Computer Science 2024-12-24 Michael Weiss

With the continuous advancement of technology, artificial intelligence has significantly impacted various fields, particularly healthcare. Generative models, a key AI technology, have revolutionized medical image generation, data analysis,…

Machine Learning · Computer Science 2024-10-10 Yuan Sun , Jorge Ortiz

Large language models (LLMs) providing generative AI have become popular to support software engineers in creating, summarizing, optimizing, and documenting source code. It is still unknown how LLMs can support control engineers using…

Software Engineering · Computer Science 2023-05-26 Heiko Koziolek , Sten Gruener , Virendra Ashiwal

ChatGPT has become a global sensation. As ChatGPT and other Large Language Models (LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating fake news, plagiarism, manipulating public opinion, cheating, and…

Machine Learning · Computer Science 2023-04-06 Alessandro Pegoraro , Kavita Kumari , Hossein Fereidooni , Ahmad-Reza Sadeghi

The evolution of Large Language Models (LLMs) and the software agents built on them (AI agents) marks a turning point in the transition from a human-centric Web to an ``Agentic Web'' driven by AI agents. However, for AI-Generated Content…

Artificial Intelligence · Computer Science 2026-05-12 Shusaku Egami , Masahiro Hamasaki

With the introduction of ChatGPT, the public's perception of AI-generated content (AIGC) has begun to reshape. Artificial intelligence has significantly reduced the barrier to entry for non-professionals in creative endeavors, enhancing the…

Sound · Computer Science 2023-11-21 Lei Wang , Ziyi Zhao , Hanwei Liu , Junwei Pang , Yi Qin , Qidi Wu

With the rapid development of Large Language Models (LLMs), Controllable Text Generation (CTG) has become a critical technology for enhancing system reliability and user experience. Addressing the limitations of traditional methods, this…

Computation and Language · Computer Science 2025-09-23 Yan Zhuang , Yuan Sun

The manufacturing industry is undergoing a transformative shift, driven by cutting-edge technologies like 5G, AI, and cloud computing. Despite these advancements, effective system control, which is crucial for optimizing production…

Robotics · Computer Science 2025-03-07 Muhammad Waseem , Kshitij Bhatta , Chen Li , Qing Chang

This paper introduces an innovative design for robotic operating platforms, underpinned by a transformative Internet of Things (IoT) architecture, seamlessly integrating cutting-edge technologies such as large language models (LLMs),…

Networking and Internet Architecture · Computer Science 2025-07-01 Huiwen Han

Generative Artificial Intelligence (GenAI) applies models and algorithms such as Large Language Model (LLM) and Foundation Model (FM) to generate new data. GenAI, as a promising approach, enables advanced capabilities in various…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-25 Mozhgan Navardi , Romina Aalishah , Yuzhe Fu , Yueqian Lin , Hai Li , Yiran Chen , Tinoosh Mohsenin

In the paradigm of AI-generated content (AIGC), there has been increasing attention to transferring knowledge from pre-trained text-to-image (T2I) models to text-to-video (T2V) generation. Despite their effectiveness, these frameworks face…

Computer Vision and Pattern Recognition · Computer Science 2024-02-07 Susung Hong , Junyoung Seo , Heeseong Shin , Sunghwan Hong , Seungryong Kim

With the success of 2D diffusion models, 2D AIGC content has already transformed our lives. Recently, this success has been extended to 3D AIGC, with state-of-the-art methods generating textured 3D models from single images or text.…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Junhao Chen , Xiang Li , Xiaojun Ye , Chao Li , Zhaoxin Fan , Hao Zhao

Score-based generative models (SGMs) are generative models that are in the spotlight these days. Time-series frequently occurs in our daily life, e.g., stock data, climate data, and so on. Especially, time-series forecasting and…

Machine Learning · Computer Science 2023-01-23 Haksoo Lim , Minjung Kim , Sewon Park , Noseong Park

Generative models (foundation models) such as LLMs (large language models) are having a large impact on multiple fields. In this work, we propose the use of such models for business decision making. In particular, we combine unstructured…

Computation and Language · Computer Science 2023-08-29 Son The Nguyen , Theja Tulabandhula

Generative design is an increasingly important tool in the industrial world. It allows the designers and engineers to easily explore vast ranges of design options, providing a cheaper and faster alternative to the trial and failure…

Machine Learning · Computer Science 2023-06-09 Fouad Oubari , Raphael Meunier , Rodrigue Décatoire , Mathilde Mougeot
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