Results 101 to 110 of about 270,692 (266)

The Application of Artificial Intelligence in Spectrum Management and the Analytics of Frequency Data Using Big Data Technology

IEEE Access
In order to support the development of more efficient spectrum management by using Big Data and Artificial Intelligence (AI), the authors study and propose a methodological framework that allows the application of Big Data and AI into spectrum management.
Rathapon Saruthirathanaworakun, Ngoc Thien Le, Truong Thanh Le, Wattanasak Srisiri, Surachai Chaitusaney, Pasu Kaewplung, Watit Benjapolakul   +6 more
doaj   +1 more source

Application of deep learning artificial intelligence technique to the classification of clinical orthodontic photos. [PDF]

BMC Oral Health, 2022
Ryu J, Lee YS, Mo SP, Lim K, Jung SK, Kim TW.   +5 more
europepmc   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

The reliability of remote photoplethysmography under low illumination and elevated heart rates

npj Digital Medicine
Remote photoplethysmography (rPPG) offers a non-invasive means of estimating heart rate in telemedicine settings. Yet its reliability remains uncertain due to the limited diversity and ecological validity of existing benchmark datasets.
Bhargav Acharya, William Saakyan, Barbara Hammer, Hanna Drimalla   +3 more
doaj   +1 more source

Future direction for the deployment of deep learning artificial intelligence: Vision threatening disease detection in underserved communities during COVID-19. [PDF]

Saudi J Ophthalmol, 2023
Vought R, Vought V, Szirth B, Khouri AS.
europepmc   +1 more source

Imitation learning in artificial intelligence [PDF]

Acquiring new knowledge often requires an agent or a system to explore, search and discover. Yet us humans build upon the knowledge of our forefathers, as did they, using previous knowledge; there does exist a mechanism which allows transference of knowledge without searching, exploration or discovery. That mechanism is known as imitation and it exists
openaire   +1 more source

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

Advanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

Towards a computer-assisted assessment of imitation in children with autism spectrum disorder based on a fine-grained analysis

Humanities & Social Sciences Communications
Imitation is considered a fundamental skill for learning in children with autism spectrum disorder (ASD). However, existing assessment methods usually provide a qualitative description of whether children imitate while ignoring individual variability in ...
Rujing Zhang, Jingying Chen, Xiaodi Liu, Yanling Gan, Guangshuai Wang   +4 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

PriBeL-Net: Extending betel leaf dataset with CNN-based image classification

MethodsX
Deep learning is core to precision agriculture. In this research, the authors compare four deep-learning frameworks: MobileNetV2, EfficientNetB0, ResNet50V2, and DenseNet121, on a custom dataset under controlled and on-field environments.Whereas ...
Gauri Mane, Raghav Bhise, Rutuja Kadam, Gagandeep Kaur, Gitanjali Shinde, Grishma Bobhate, Sonal Fatangare   +6 more
doaj   +1 more source