Results 201 to 210 of about 362,390 (307)

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Anthropogenic Infrastructures Shape Brown Bear Movements in Human-Modified Landscapes. [PDF]

Ecol Evol
García-Sánchez P, Penteriani V, Del Mar Delgado M, Falcinelli D, Fedorca A, Gentle LK, Kojola I, Heikkinen S, Find'o S, Skuban M, Fedorca M, Ionescu O, Ionescu G, Jurj R, Popa M, Ordiz A, Swenson JE, Uzal A.   +17 more
europepmc   +1 more source

Analysis of Flora and Vegetation in Forest Road Slopes after the Forest Road Construction

Journal of Agriculture & Life Science, 2016
Ji-eun Park, Sam-Bong Park, Jeong-Geun Park, Jong-Bin An, Bong-Gyu Kim, Gab-Chul Choo   +5 more
openaire   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

A 10-meter resolution human footprint dataset to support biodiversity and conservation studies in Brazil. [PDF]

Sci Data
Presotto A, Hamilton S, Izar P.
europepmc   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Measurement of urban vitality and the influence mechanism of the built environment on it based on multi-source data: A case study of Yantai City. [PDF]

PLoS One
Zhang Y, Wang X, Wang L, Zhang Y, Ye Y, Jiang H, Chi Y, Liu G, Yao S.   +8 more
europepmc   +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

Geospatial analysis of human-elephant conflict zones in the Jeli District: implications for mitigation and land-use planning. [PDF]

Environ Monit Assess
Husain H, Nor ANM, Abas MA, Amir A, Rafaai NH, Jaafar SB, Rosdi A, Ahmad FN, Atan FM, Kasim AS, Mahmud H, Saaban S, Hambali K.   +12 more
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source