Results 191 to 200 of about 505,774 (261)

Wavelet-convolutional neural network for fault prediction in coal mine seismic data. [PDF]

Sci Rep
Zou G, Han C, Yeh HG, Peng S.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Sex inference based on convolutional neural network analysis of fingerprint data. [PDF]

Sci Rep
Zhang Y, Cui S, Li J, Liu X, Li S, Jiang Y, Wang F, Liu W.   +7 more
europepmc   +1 more source

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

AGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das, Moustaq Karim Khan Rony, Shovit Dutta, MD. Sami Al Zubair Zujbe, Tapan Bhattacharjee, Niloy Debnath, Shabbir Abdullah Maruf, Chowdhury Galib Mortuza, Farhana Rahman, Akash Das   +9 more
wiley   +1 more source

An end-to-end convolutional neural network for secure image transmission via joint encryption and steganography. [PDF]

Sci Rep
Iqbal A, Sattar H, Shafi UF, Mahmood A, Waseem SS, Hassan SR, Hassan AS.   +6 more
europepmc   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Automated assessment of small bowel and colon cleansing in enteroscopy using a convolutional neural network. [PDF]

Endosc Int Open
Marílio Cardoso P, Mascarenhas M, Martins M, Mendes F, Afonso J, Ribeiro T, Almeida MJ, Mota J, Andrade P, Cardoso H, Ferreira J, Macedo G.   +11 more
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Identification of multiple ocular diseases using a hybrid quantum convolutional neural network with fundus images. [PDF]

Sci Rep
Alqassab AIM, Luque-Nieto MÁ, Mohammed MA.   +2 more
europepmc   +1 more source