Results 141 to 150 of about 48,097 (299)

Similarity‐Driven Framework for Efficient Polymer Property Prediction Under Data Scarcity Scenarios

Journal of Polymer Science, EarlyView.
A new approach, based on structural and chemical similarities between polymers, is proposed to improve the performance of artificial neural networks in predicting the glass transition temperature under data‐scarce conditions. ABSTRACT Predicting polymer properties directly from chemical structure is essential for the rational design of advanced ...
Amaia Elizaran Mendarte, Gustavo A. Schwartz   +1 more
wiley   +1 more source

Time Series Extrinsic Regression for Smart Agriculture: Field‐Level Crop Yield Prediction From Multisource Agricultural Time Series

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The growing availability of temporal data in agriculture has created new opportunities for data‐driven decision support systems aimed at improving the efficiency, sustainability, and adaptability of agricultural systems. Remote sensing platforms, weather‐related datasets, and field‐management records provide information on crop development and
Amalia Vanacore, Armando Ciardiello, Gennaro Pio Auricchio, Luigi Uccello, Annalisa Izzo   +4 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

IVyTools: Space–Time Image Velocimetry for Streamflow

River Research and Applications, EarlyView.
ABSTRACT Accurate streamflow measurements are essential for hydrologic monitoring, flood forecasting, and water resource management. Traditional in situ methods, although reliable, are often impractical or unsafe during flood conditions or at inaccessible locations. Image velocimetry techniques offer a potential non‐contact alternative, yet operational
Frank L. Engel, Travis M. Knight, Elizabeth A. Nystrom, Christopher B. Grindle   +3 more
wiley   +1 more source

Efficient and Accurate Spatio‐Temporal Population Monitoring of Mobile Animals Using Drones and Computer Vision

Remote Sensing in Ecology and Conservation, EarlyView.
Drones and computer vision offer an efficient way to estimate animal populations over localized areas, but surveys often require stitching many overlapping images together. If animals move during the survey, traditional orthomosaic‐based counting methods become unreliable, with some animals appearing in multiple locations while others appear not at all,
Benjamin Koger, Albert B. Kao, Curry J. Cunningham, Thomas P. Quinn, Caroline Kittle, Andrew M. Berdahl   +5 more
wiley   +1 more source

Enhancing Tea Agrifood System Resilience Amid Geopolitical Tensions: A Resource Nexus‐Based System Dynamics Analysis

Sustainable Development, EarlyView.
ABSTRACT Geopolitical conflicts are increasingly threatening global food security, economic stability, and peace, impacting Tanzania's tea agrifood system. This study develops a quantitative Resource Nexus‐based system dynamics simulation model assessing the feedbacks and interdependencies among key environmental and socioeconomic resources shaping ...
Ally Mkumbukiy, Daniel Mgori, Edeltraud Guenther, Kaveh Madani   +3 more
wiley   +1 more source

Tourism and Sustainable Development in the Mediterranean: Evidence From Robust Panel CS‐ARDL Analysis

Sustainable Development, EarlyView.
ABSTRACT Despite the Mediterranean region's critical dependence on tourism, the empirical relationship between tourism development and multidimensional sustainable development remains underexplored. Existing studies predominantly rely on unidimensional sustainability proxies, failing to capture the holistic nature of sustainability. This study examines
Emin Ahmet Kaplan, Tufan Sarıtaş, Yasin Büyükkör, Alper Aslan   +3 more
wiley   +1 more source

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

Sustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley   +1 more source

Driving SDG‐Oriented Economic Development in Emerging Economies: Machine Learning Evidence From Energy, Human Capital, and Governance

Sustainable Development, EarlyView.
ABSTRACT This study examines the sustainability‐related determinants of economic development within an SDG‐oriented framework by integrating carbon productivity, energy efficiency, education, life expectancy, governance, and corruption control into a machine learning (ML) approach.
Busra Agan Celik, Serdar Celik
wiley   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source