Application of ChatGPT in pediatric surgery: opportunities and challenges

C Mao, Y Bao, Y Yang, Y Cao - International Journal of Surgery, 2024 - journals.lww.com
challenges. This article aims to explore the potential applications of ChatGPT in pediatric
surgery, along with the opportunities and challenges … Through deep learning and the analysis …

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

L Alzubaidi, J Bai, A Al-Sabaawi, J Santamaría… - Journal of Big Data, 2023 - Springer
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges

S Huang, J Yang, S Fong, Q Zhao - Cancer letters, 2020 - Elsevier
… Furthermore, as artificial intelligence (AI), especially machine learning and deep learning,
has … Finally, opportunities and challenges in the clinical implementation of AI are discussed. …

Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities

L Zhang, L Zhang - IEEE Geoscience and Remote Sensing …, 2022 - ieeexplore.ieee.org
… With the development of big data, deep learning (DL), large-… This review focuses not only
machine learning and DL (which … Lefevre, “Deep learning for classification of hyperspectral …

Ensemble deep learning in bioinformatics

Y Cao, TA Geddes, JYH Yang, P Yang - Nature Machine Intelligence, 2020 - nature.com
… key developments in ensemble deep learning and look at … deep learning in bioinformatics
is diverse and multifaceted, we identify and discuss the common challenges and opportunities

Artificial intelligence revolutionizing drug development: Exploring opportunities and challenges

PC Tiwari, R Pal, MJ Chaudhary… - Drug Development …, 2023 - Wiley Online Library
… discovery is held by the utilization of deep learning, a subset of AI. By employing neural
networks to analyze intricate data sets, deep learning can unveil novel drug targets, optimize …

Ensemble Deep Learning and Machine Learning: Applications, Opportunities, Challenges, and Future Directions

N Rane, S Choudhary, J Rane - Opportunities, Challenges, and …, 2024 - papers.ssrn.com
… The selection focused on works discussing the applications, opportunities, challenges,
and future directions of ensemble learning within both deep learning and machine learning

Federated learning: Opportunities and challenges

PM Mammen - arXiv preprint arXiv:2101.05428, 2021 - arxiv.org
… Even with this defense measures, it is hard to find the malicious participants owing to the
secure aggregation techniques and capacity of the deep learning model. Also FL framework …

Reinforcement learning for building controls: The opportunities and challenges

Z Wang, T Hong - Applied Energy, 2020 - Elsevier
… machine learning field, such as deep learning and … Learning: algorithm, state, action, reward,
and environment. Last, we discuss the current challenges and future research opportunities

A survey of deep learning and its applications: a new paradigm to machine learning

S Dargan, M Kumar, MR Ayyagari, G Kumar - Archives of Computational …, 2020 - Springer
… They also discussed the challenges for the deep learning. … The challenges offered by big
data were timely and provided many opportunities and searches for the deep learning. Gheisari …