Results 191 to 200 of about 244,916 (294)

Hybrid CNN-embedding fusion with MFCC-SVM for speech emotion recognition: Random vs actor-wise evaluation on CREMA-D. [PDF]

PLoS One
Kumari P, Raghav YY, Kochher V, Katta PK, A A, M P, A J, Belete FG.   +7 more
europepmc   +1 more source

Nanomedicine‐driven innovations in postoperative cancer immunotherapy: Remodeling tumor microenvironment and precision delivery strategies

BMEMat, EarlyView.
Nanomedicine‐Driven Strategies for Suppressing Postoperative Tumor Recurrence. This schematic illustrates three pivotal nanomedical strategies that synergistically counteract recurrence by targeting residual disease and the immunosuppressive tumor microenvironment within the surgical cavity.
Lisong Pang, Zhuomin Wang, Zhenhua Jin, Ahmed H. Ghonaim, Hengcheng Zhang, Xinyu You, Jinzhuo Ning, Jiaqing Cao, Yang Liu   +8 more
wiley   +1 more source

Risk prediction of patients with perioperative pneumonia exacerbation being transferred to the ICU based on different machine learning methods. [PDF]

Front Med (Lausanne)
Chen X, Zhang B, Wang D, Li J, Chen B, Liu Y, Zhou X, Du J, Li N.   +8 more
europepmc   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Development and validation of a postpartum hemorrhage risk prediction model for advanced maternal age women undergoing vaginal delivery: a comparison of multiple machine learning algorithms. [PDF]

Front Med (Lausanne)
Zhou Y, Yao X, Zhou J, Duan Y, Yu Y, Ma X.   +5 more
europepmc   +1 more source

How Can Eco‐Friendly Products Be Marketed Effectively? Evidence From a Multinational Study on the Intention–Behaviour Gap for Smartphones Made With Eco‐Friendly Substitute Materials

Business Strategy and the Environment, EarlyView.
ABSTRACT As global environmental concerns intensify, firms are increasingly expected to embed environmental responsibility into their core strategies. However, uncertainty remains over whether eco‐friendly initiatives are economically rewarded, reflecting ambiguity in consumers' true environmental preferences.
Kimitaka Nishitani, Eri Nakamura, Fumikazu Morimura, Yumi Nakamori, Tsugio Watanabe, Daisuke Furuta, Tomoya Mizuta   +6 more
wiley   +1 more source

Evaluating hybrid quantum-classical learning for financial forecasting: a comparative study with classical machine learning models on BSE indices. [PDF]

Front Artif Intell
Nair R, Chandre P, Makubhai S, Shendkar B, Deotale D, Patil V.   +5 more
europepmc   +1 more source

Visualizing ESG Signaling Through User‐Generated Content: A Strategic Foresight Framework for Symbolic Legitimacy in Hospitality Branding

Business Strategy and the Environment, EarlyView.
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham, Pabitra Mitra, Sujoy Bhattacharya   +2 more
wiley   +1 more source

Improving Fairness in Doubly Imbalanced Datasets. [PDF]

Sci Rep
Yalcin A, Ozturk AU, Sever Y, Pauw V, Hachinger S, Toroslu IH, Karagoz P.   +6 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