Results 141 to 150 of about 10,242,979 (306)

Performance of deep-learning artificial intelligence algorithms in detecting retinopathy of prematurity: A systematic review. [PDF]

Saudi J Ophthalmol, 2022
Bai A, Carty C, Dai S.
europepmc   +1 more source

Understanding the integration of deep learning and artificial intelligence in Quranic education and research through bibliometric analysis

Background/purpose. Recent developments in information and communication technology have opened up many new opportunities in various research fields, including religious studies (Burton, 2020).
Muthoifin, Muthoifin, Mohd Salleh, Norsaleha, Tamami, Fauziyah Qurrota A’yun, Nirwana An, Andri, Daud, Zainora, Ishak, Mohamad Haeqal, Mohamad Haeqal bin Ishak, Andri Nirwana An, Norsaleha Mohd Salleh, Muthoifin Muthoifin, Fauziyah Qurrota A’yun Tamami, Zainora Daud   +11 more
core   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMANROBOT COOPERATION IN THE CONTEXT OF INDUSTRY 4.0

Applied Computer Science
 The function of Artificial Intelligence (AI) in Human-Robot Cooperation (HRC) in Industry 4.0 is unequivocally important and cannot be undervalued. It uses Machine Learning (ML) and Deep Learning (DL) to enhance collaboration between humans and robots ...
Hawkar ASAAD, Shavan ASKAR, Ahmed KAKAMIN, Nayla FAIQ   +3 more
doaj   +1 more source

Deep Learning Artificial Intelligence to Predict the Need for Tracheostomy in Patients of Deep Neck Infection Based on Clinical and Computed Tomography Findings-Preliminary Data and a Pilot Study. [PDF]

Diagnostics (Basel), 2022
Chen SL, Chin SC, Ho CY.
europepmc   +1 more source

Biomass DNA: An Emerging Building Block for Advanced Materials

Advanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source

Selection of proper artificial intelligence techniques developed for CT scan image analysis of liver cancer using fuzzy AHP-TOPSIS

BMC Medical Imaging
Objective Comprehensive identification and prioritization of developed artificial intelligence methods for applications of radiology can help to select proper techniques. This study aimed to introduce the best artificial intelligence techniques developed
Geng Lu, Yuheng Wang, Chunying Li, Cong Wu   +3 more
doaj   +1 more source

Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells

Advanced Materials Interfaces, EarlyView.
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss, Shiyi Wang, Brian P. Setzler, Yushan Yan, Adam Z. Weber   +4 more
wiley   +1 more source

Deep Learning in Military Applications

Safety & Defense
The latest advancements in Artificial Intelligence, especially in Deep Learning technology, accelerate innovation and development in different application domains.
Jerzy Surma
doaj   +1 more source