Results 91 to 100 of about 1,883,240 (283)

Mesterséges éjszakai fények GEE API-val

, 2022
Google Earth Engine API-val fejlesztettem szkripteket. A szkripteket JavaScript nyelven írtam. A dolgozatban kitértem a nyelv funkcióira is. Ezen szkripteken keresztül bemutattam a főbb funkcióit a GEE-nek. Az éjszakai fények adathalmazt vizualizáltam és
Kovács, Imre
core  

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research

Advanced Intelligent Systems, EarlyView.
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu, Markus Breunig, Arpad Varga, Bianka Bosch, Jessica Lindenmayer, Anjan T. Kanakappady, Kevin Achberger, Natalia Pashkovskaia, Alexander Kleger, Stefan Liebau, Stefanie Klingenstein, Moritz Klingenstein   +11 more
wiley   +1 more source

Accidents in the Chemical Industry: A Scoping Review Focused on Causal Factors

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Although occupational safety in the chemical industry is an area of ongoing research worldwide, chemical incidents continue to occur, indicating the need to review the causes, assist in safety management, and identify problems in the quality of reporting. Methods A systematic search of studies published in English between January 1,
Željka Babić, Emin Veledar, Zrinka Franić, Franka Šakić, Mojca Dobaja Borak, Lucija Šarc, Jelena Macan, Miran Brvar   +7 more
wiley   +1 more source

Identificação das Mudanças Espaço-temporais nos Biomas Brasileiros por Intermédio da Análise de Componentes Principais (ACP)

Revista Brasileira de Cartografia, 2022
O artigo apresenta uma análise espaço-temporal das mudanças no uso e cobertura da terra dos Biomas brasileiros a partir do uso dos dados do projeto MapBiomas e da Análise de Componentes Principais.
Letícia Figueiredo Sartorio, Éder Leandro Bayer Maier   +1 more
doaj  

Translation and Cross‐Cultural Adaptation of the Chronic Rhinosinusitis Control Test for Global Use

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Introduction The Chronic Rhinosinusitis Control Test (CRCT) is a patient‐reported outcome measure (PROM) written in English that is psychometrically validated to measure chronic rhinosinusitis control. Because the availability of translated PROMs is a driver of data equity—collection of data that is fair and generally representative—our ...
Hye K. Pae, Detong Xia, Hanzhong Sun, Yudi Chen, Kwangoh Yi, Minjeong Song, Eriko Sato, Ali R. Abasi, Jody Ballah, Anna Babarczy, Raymond Bertram, Agnieszka Biernacka, Mable Chan, Teresa Civera, Irina Dubinina, Doğu Erdener, María Isabel Maldonado García, Ali Garib, Tuomo Häikiö, Fuk‐chuen HO, Li‐Yu Hung, R. Malatesha Joshi, Oksana Kanerva, Kiranpreet Kaur Baath, Björn Köhnlein, Dalibor Kučera, Paula Luegi, Yustinus Calvin Gai Mali, Sivan Medina, Stefan Milosavljević, Amna Mirza, Mohamed Y. Mwamzandi, Fatemeh Nami, Anabella‐Gloria Niculescu‐Gorpin, Portia Padilla, Georgia Panayiotou, Manuel Perea, Luciano Perondi, Hiển Phạm, Rasmus Puggaard‐Rode, Anurag Rimzhim, Sreeparna Sarkar, David L. Share, Gláucia V. Silva, Antônio R. M. Simões, Charlotte Stormbom, Titima Suthiwan, Katsuo Tamaoka, Mila Tasseva‐Kurktchieva, Paweł Urbanik, An Van, Katie M. Phillips, Ahmad R. Sedaghat   +52 more
wiley   +1 more source

Remote Monitoring of Coffee Leaf Miner Infestation Using Fuzzy Logic and the Google Earth Engine Platform

AgriEngineering
The coffee leaf miner (Leucoptera coffeella) is a major pest of coffee crops and can cause significant economic losses. Early monitoring is essential to support decision-making for its control.
Laura Teixeira Cordeiro, Emerson Ferreira Vilela, Jéssica Letícia Abreu Martins, Charles Cardoso Santana, Filipe Schitini Salgado, Gislayne Farias Valente, Diego Bedin Marin, Christiano de Sousa Machado Matos, Rogério Antônio Silva, Margarete Marin Lordelo Volpato, Madelaine Venzon   +10 more
doaj   +1 more source

Comparative Meta‐Analysis of Antimicrobial Peptides in Aquatic and Terrestrial Livestock Species

Animal Research and One Health, EarlyView.
A global meta‐analysis of 58 studies (926 effect sizes and 29 species across five taxa) revealed that dietary antimicrobial peptides generally improve growth performance, blood metabolites, and immune responses. The greatest benefits were observed in omnivorous livestock, such as pigs and chickens. Dose‐duration effects were evident. An optimal outcome
Lily Liu, Xu Luo, Qin Zhang, Jinhai Wang, Alan E. Wilson   +4 more
wiley   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source