Results 31 to 40 of about 119,336 (59)

Protection architecture of endogenous safety and security for industrial control systems

Security and Safety, 2023
According to the essential characteristic of industrial control system (ICS), endogenous safety and security (ESS) can be achieved by merging cyber security (CS) into functional safety (FS).
Xin Yaozhong
doaj   +1 more source

Equipping AI-decision-support-systems with emotional capabilities? Ethical perspectives

Frontiers in Artificial Intelligence
It is important to accompany the research on Emotional Artificial Intelligence with ethical oversight. Previous publications on the ethics of Emotional Artificial Intelligence emphasize the importance of subjecting every (possible) type of Emotional ...
Max Tretter
doaj   +1 more source

Artificial intelligence applied to analyzes during the pandemic: COVID-19 beds occupancy in the state of Rio Grande do Norte, Brazil

Frontiers in Artificial Intelligence, 2023
The COVID-19 pandemic is already considered one of the biggest global health crises. In Rio Grande do Norte, a Brazilian state, the RegulaRN platform was the health information system used to regulate beds for patients with COVID-19.
Tiago de Oliveira Barreto, Nícolas Vinícius Rodrigues Veras, Nícolas Vinícius Rodrigues Veras, Pablo Holanda Cardoso, Pablo Holanda Cardoso, Felipe Ricardo dos Santos Fernandes, Luiz Paulo de Souza Medeiros, Maria Valéria Bezerra, Filomena Marques Queiroz de Andrade, Chander de Oliveira Pinheiro, Ignacio Sánchez-Gendriz, Gleyson José Pinheiro Caldeira Silva, Gleyson José Pinheiro Caldeira Silva, Leandro Farias Rodrigues, Antonio Higor Freire de Morais, Antonio Higor Freire de Morais, João Paulo Queiroz dos Santos, João Paulo Queiroz dos Santos, Jailton Carlos Paiva, Jailton Carlos Paiva, Ion Garcia Mascarenhas de Andrade, Ricardo Alexsandro de Medeiros Valentim   +21 more
doaj   +1 more source

Semi-supervised active learning using convolutional auto- encoder and contrastive learning

Frontiers in Artificial Intelligence
Active learning is a field of machine learning that seeks to find the most efficient labels to annotate with a given budget, particularly in cases where obtaining labeled data is expensive or infeasible.
Hezi Roda, Amir B. Geva, Amir B. Geva
doaj   +1 more source

Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study

Frontiers in Artificial Intelligence, 2023
IntroductionArtificial intelligence (AI) technology has made rapid progress for disease diagnosis and triage. In the field of ophthalmic diseases, image-based diagnosis has achieved high accuracy but still encounters limitations due to the lack of ...
Zhiyu Peng, Zhiyu Peng, Zhiyu Peng, Zhiyu Peng, Ruiqi Ma, Ruiqi Ma, Ruiqi Ma, Yihan Zhang, Yihan Zhang, Yihan Zhang, Mingxu Yan, Mingxu Yan, Mingxu Yan, Mingxu Yan, Jie Lu, Jie Lu, Jie Lu, Jie Lu, Qian Cheng, Jingjing Liao, Yunqiu Zhang, Jinghan Wang, Jinghan Wang, Jinghan Wang, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Qin Jiang, Fei Shi, Jiang Qian, Jiang Qian, Jiang Qian, Xinjian Chen, Xinjian Chen, Chen Zhao, Chen Zhao, Chen Zhao   +37 more
doaj   +1 more source

Enhancing bladder cancer diagnosis through transitional cell carcinoma polyp detection and segmentation: an artificial intelligence powered deep learning solution

Frontiers in Artificial Intelligence
BackgroundBladder cancer, specifically transitional cell carcinoma (TCC) polyps, presents a significant healthcare challenge worldwide. Accurate segmentation of TCC polyps in cystoscopy images is crucial for early diagnosis and urgent treatment.
Mahdi-Reza Borna, Mohammad Mehdi Sepehri, Pejman Shadpour, Farhood Khaleghi Mehr   +3 more
doaj   +1 more source

Diagnosis of Types of Diseases in Cassava Plant by Bayes Method

JOIN: Jurnal Online Informatika, 2020
This research was conducted to implement the Bayes algorithm in an expert system to diagnose types of diseases in cassava plants. The research data was taken from the Binjai City Agriculture and Fisheries Office in 2018. The expert system was built based
Agung Purnomo Sidik
doaj   +1 more source

Probabilistic Nearest Neighbors Based Locality Preserving Projections for Unsupervised Metric Learning [PDF]

Journal of Universal Computer Science
Dimensionality reduction based unsupervised metric learning consists in finding meaningful compact data representations previously to clustering and classification problems.
Alaor Cervati Neto, Alexandre L. M. Levada   +1 more
doaj   +3 more sources

Management Matters [PDF]

New indications of managerial innovations are created and then used to show that changes in organizational technologies are an important source of economic growth.
Michelle Alexopoulos, Trevor Tombe
core  

Analisa Usabilitas Sistem Deteksi Akses Pornografi Pengguna Internet Menggunakan Metode Mccall’S

JOIN: Jurnal Online Informatika, 2017
Saat ini sudah ada beberapa cara yang biasanya digunakan untuk mencegah pornografi, yang paling umum dengan metode keyword seperti nawala project yang menggunakan DNS filtering dan metode berbasis image .
Bambang Sugiantoro
doaj   +1 more source