Results 201 to 210 of about 49,141 (264)

Hydrodynamical pathways in the phase change of real fluids. [PDF]

Commun Phys
Gallo M, Occhioni F, Daniele R, Casciola CM.   +3 more
europepmc   +1 more source

Shaping the Protein Transition From the Niche: Firm‐Level Dynamics in Europe's Plant‐Based Alternative Protein Sector

Business Strategy and the Environment, EarlyView.
ABSTRACT The agri‐food sector, most notably intensive livestock production, stands as a major driver of climate change, prompting a shift towards plant‐based alternative protein production and consumption. Such protein transition is widely recognised as central to the development of an environmentally sustainable food economy.
Francesca Monticone, Antonella Samoggia
wiley   +1 more source

Predicting Pediatric Urological Surgery Duration Through Multimodal Patient-Physician Feature Fusion: Deep Learning Framework Incorporating Clinical Text Embedding. [PDF]

JMIR Med Inform
Zhao Y, Lin R, Sun Y, Chen L, Huang J, Chen G, Zhu Z, Yu G.   +7 more
europepmc   +1 more source

Using Machine Learning to Predict Corporate Environmental Violation: A Stakeholder Pressure Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Predicting corporate environmental violations remains a key challenge in practice and in environmental governance research. However, existing studies have largely focused on ex post associations between stakeholder pressures and realized environmental violations, offering limited insight into whether stakeholder pressures can be used ex ante ...
Xiaolan Chen, Ning Ding, Haodong Jin, Rui Xue, Yuhao Yang   +4 more
wiley   +1 more source

Domain-Adversarial Neural Network for UWB NLOS Identification in Multiple Environments. [PDF]

Sensors (Basel)
Jiang S, Li J, Xu Y, Rong Y.
europepmc   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

Clinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source

Comparative Evaluation of Machine Learning and Conventional Material Decomposition Algorithms for Spectral Chest Radiography Using a CdTe Photon-Counting Detector. [PDF]

Sensors (Basel)
Marupudi S, Ghammraoui B.
europepmc   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Red fescue (Festuca rubra L.) variety recognition using subset division and neural networks. [PDF]

Theory Biosci
Slebioda L, Zawieja B.
europepmc   +1 more source

Porous Carbon Materials for Carbon Dioxide Capture

Carbon Energy, EarlyView.
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu, Chuhan Fu, Tao Qi, Hui Zhou, Guangping Hao, Yalou Guo, Guoping Hu   +6 more
wiley   +1 more source