Results 201 to 210 of about 25,829 (292)

Autonomous Leadership: How Board Independence Shapes Machine Learning Based Corporate Culture in Thailand

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporate culture is a critical driver of corporate social responsibility, shaping how firms internalize sustainability, social and environmental concerns, yet its governance antecedents are less understood. Motivated by the need to understand how governance structures affect organizational values and behavior, we explore the relationship ...
Sirimon Treepongkaruna, Stefano Starita
wiley   +1 more source

Evaluating the Adversarial Robustness and Clinical Safety of Quantized Hierarchical Transformers for Edge-Based Malaria Microscopy. [PDF]

Sensors (Basel)
Hasan U, Alghamdi TG, Nayeem MA.
europepmc   +1 more source

Sensemaking and CSR Character in Multinational Corporations: A Comparative Study of Headquarters and Subsidiary Practices in the UAE

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT While corporate social responsibility (CSR) scholarship assumes that organizational consistency signals effectiveness, there remains a knowledge gap about how MNCs navigate competing institutional logics between headquarters and subsidiaries. This study investigates how managerial sensemaking mediates the effects of institutional pressures on ...
Charles Antony Diab, Wendy Stubbs
wiley   +1 more source

Enhancing DNN Adversarial Robustness via Dual Stochasticity and Geometric Normalization. [PDF]

Sensors (Basel)
Wu X, Han G.
europepmc   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness. [PDF]

Sci Rep
Samy H, Bahaa-Eldin AM, Sobh MA, Taha A.
europepmc   +1 more source

Adversarial robustness without perturbations

Models resistant to adversarial perturbations are stable around the neighbourhoods of input images, such that small changes, known as adversarial attacks, cannot dramatically change the prediction.
Rodríguez Muñoz, Adrán
core  

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source

Steering Industrial Decarbonisation: Explaining OECD Policy Variation

Environmental Policy and Governance, EarlyView.
ABSTRACT The ongoing rise in CO2 emissions driven by energy‐intensive industries highlights the urgent need for targeted policy interventions, with national strategies playing a crucial role in the low‐carbon transition. However, the factors that shape the ambition of industrial decarbonisation policies remain poorly understood.
Ebba Minas
wiley   +1 more source