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[HTML][HTML] Deep learning attention mechanism in medical image analysis: Basics and beyonds
With the improvement of hardware computing power and the development of deep learning
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …
Revolutionizing generative pre-traineds: Insights and challenges in deploying ChatGPT and generative chatbots for FAQs
F Khennouche, Y Elmir, Y Himeur, N Djebari… - Expert Systems with …, 2024 - Elsevier
In the rapidly evolving domain of artificial intelligence, chatbots have emerged as a potent
tool for various applications ranging from e-commerce to healthcare. This research delves …
tool for various applications ranging from e-commerce to healthcare. This research delves …
Transformer network for remaining useful life prediction of lithium-ion batteries
D Chen, W Hong, X Zhou - Ieee Access, 2022 - ieeexplore.ieee.org
Accurately predicting the Remaining Useful Life (RUL) of a Li-ion battery plays an important
role in managing the health and estimating the state of a battery. With the rapid development …
role in managing the health and estimating the state of a battery. With the rapid development …
Recent progress in transformer-based medical image analysis
The transformer is primarily used in the field of natural language processing. Recently, it has
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …
AttMoE: Attention with Mixture of Experts for remaining useful life prediction of lithium-ion batteries
D Chen, X Zhou - Journal of Energy Storage, 2024 - Elsevier
Abstract For Lithium-ion (Li-ion) batteries, problems such as material aging and capacity
decay lead to battery performance degradation or even catastrophic events. Predicting …
decay lead to battery performance degradation or even catastrophic events. Predicting …
Generating syntactically controlled paraphrases without using annotated parallel pairs
Paraphrase generation plays an essential role in natural language process (NLP), and it has
many downstream applications. However, training supervised paraphrase models requires …
many downstream applications. However, training supervised paraphrase models requires …
Paraphrase types for generation and detection
Current approaches in paraphrase generation and detection heavily rely on a single general
similarity score, ignoring the intricate linguistic properties of language. This paper introduces …
similarity score, ignoring the intricate linguistic properties of language. This paper introduces …
Novelty controlled paraphrase generation with retrieval augmented conditional prompt tuning
JR Chowdhury, Y Zhuang, S Wang - … of the AAAI Conference on Artificial …, 2022 - ojs.aaai.org
Paraphrase generation is a fundamental and long-standing task in natural language
processing. In this paper, we concentrate on two contributions to the task:(1) we propose …
processing. In this paper, we concentrate on two contributions to the task:(1) we propose …
Multi-step time series forecasting on the temperature of lithium-ion batteries
Lithium-ion battery temperature monitoring contributes to the higher performance of lithium
batteries and reduces the risk of thermal runaway. Since the battery temperature can be …
batteries and reduces the risk of thermal runaway. Since the battery temperature can be …
Artificial intelligence for computer aided detection of pneumoconiosis: A succinct review since 1974
With the increasing availability of medical imaging data and advancements in artificial
intelligence (AI) and computer vision (CV) techniques, computer aided diagnostic (CAD) …
intelligence (AI) and computer vision (CV) techniques, computer aided diagnostic (CAD) …