Results 91 to 100 of about 83,337 (283)

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models

Angewandte Chemie, EarlyView.
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang, Yuanzheng Chen, Chuanyu Liu, Yan Liu, Hongliang Xin, Jiayu Peng, Pengfei Ou, Hao Li   +7 more
wiley   +2 more sources

Detecção de queimadas agrícolas no Estado do Acre através do GEE e QGis

Biodiversidade Brasileira, 2019
Este estudo visou testar quatro classificadores supervisonados para mapeamento de cicatrizes de queimadas agropecuárias, avaliando a razão tempo-qualidade acuracia.
Sonaira Souza da Silva, Francisco Salatiel Clemente de Souza, Philip M. Feanrside, Tiago Lucena da Silva   +3 more
doaj   +3 more sources

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Analisis Perubahan Tutupan Lahan Menggunakan Algoritma CART untuk Evaluasi Kesesuaian Lahan Terhadap RTRW Kabupaten Tangerang

Rekayasa Hijau: Jurnal Teknologi Ramah Lingkungan
ABSTRAK Kabupaten Tangerang mengalami pertumbuhan penduduk pesat yang mendorong perubahan tutupan lahan. Rencana Tata Ruang Wilayah (RTRW) 2020 digunakan sebagai panduan pemanfaatan lahan, dengan klasifikasi utama: lahan terbangun, badan air, vegetasi ...
Gheo Damai Ramadhan, Hary Nugroho
doaj   +1 more source

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

A primer on understanding Google Earth Engine APIs

, 2020
i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers, Vol 6, No 1 (2020): Volume ...
Reis, Rui S., Datia, Nuno, Pós-de-Mina Pato, Matilde   +2 more
openaire   +2 more sources

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Harmonized Landsat and Sentinel-2 Data with Google Earth Engine

Remote Sensing
Continuous and dense time series of satellite remote sensing data are needed for several land monitoring applications, including vegetation phenology, in-season crop assessments, and improving land use and land cover classification.
Elias Fernando Berra, Denise Cybis Fontana, Feng Yin, Fabio Marcelo Breunig   +3 more
doaj   +1 more source

Classification of Indian cities using Google Earth Engine

Journal of Land Use Science, 2019
The rapid expansion of cities and the impacts of urbanization on local and global environmental factors such as biodiversity and climate change are of great concern.
Shivani Agarwal, Harini Nagendra
openaire   +1 more source