Physical modeling of ultraviscous oil displacement by using solvent on a large model of oil reservoir
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2017.02.024
Abstract: Abstract As a result of a series of experiments for the physical modeling of oil displacement processes on a large model, specific features of asphaltene sedimentation and immovable residual oil formation in a porous medium… read more here.
Keywords: oil displacement; physical modeling; oil; large model ... See more keywords
Efficient LLMs Training and Inference: An Introduction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2024.3501358
Abstract: ChatGPT was released in late November 2022, making a significant impact globally. Following this release, numerous domestic and international open-source projects for large model training emerged, including Alpaca, BOOLM, LLaMA, ChatGLM, DeepSpeedChat, and ColossalChat. Both… read more here.
Keywords: efficient llms; large models; large model; inference ... See more keywords
Large Model Empowered Streaming Speech Semantic Communications
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2025.3584710
Abstract: In this paper, we introduce a large model-empowered streaming semantic communication system for speech transmission across various languages, named LSSC-ST. Specifically, we devise an edge-device collaborative semantic communication architecture by offloading the intricate semantic extraction… read more here.
Keywords: transmission; empowered streaming; large model; speech ... See more keywords
Zeroth-Order Over-the-Air Federated Large Model Tuning Over Edge Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2025.3585344
Abstract: Over-the-air federated learning (OTA FL) provides superior spectral efficiency and reduced communication overhead, establishing it as an effective approach for pushing intelligence to the network edge. Yet, in the era of generative AI, training distributed… read more here.
Keywords: edge; edge networks; large model; air federated ... See more keywords
A Evaluation-Based Large Model for Multi-Step Behavior Prediction in Intelligent Consumer Electronics
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2025.3528101
Abstract: Behavior prediction is a fundamental task in intelligent consumer electronics. Its goal is to predict potential future behaviors based on known behaviors, playing a crucial role in understanding user intentions and optimizing device performance. However,… read more here.
Keywords: multi step; consumer electronics; large model; model ... See more keywords
Running Gear Global Composite Fault Diagnosis Based on Large Model
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2025.3541713
Abstract: The running gear is a key component of rail vehicles, and timely diagnosis of faults in the running gear is crucial. It is very difficult to use local sensor data for global single fault and… read more here.
Keywords: large model; composite fault; fault; fault diagnosis ... See more keywords
Communication-Computation Co-Optimized Federated Learning for Efficient Large-Model Embedding Training
Sign Up to like & getrecommendations! Published in 2025 at "Mathematics"
DOI: 10.3390/math13233871
Abstract: With the rapid development of the Industrial Internet of Things (IIoT) and intelligent manufacturing, massive amounts of heterogeneous and non-independent, identically distributed (non-IID) data are continuously generated in industrial environments. Large models have demonstrated strong… read more here.
Keywords: communication computation; large model; model; model embedding ... See more keywords