Results 211 to 220 of about 15,152,665 (258)

ESG Controversies and Corporate Performance: A Critical Appraisal of Rating Methodologies and Empirical Evidence

Business Strategy and the Environment, EarlyView.
ABSTRACT ESG controversies have become relevant signals in capital markets. However, controversy measurement is not strictly regulated, and evidence on whether and under which conditions such events affect firm‐level performance remains fragmented and lacks quality appraisal.
Paolo Candio, Massimiliano Kaucic
wiley   +1 more source

DAFRL: a dynamic adaptive mean field game-based multi-agent cooperative decision-making method. [PDF]

Sci Rep
Tang Y, Fan C, Yu D.
europepmc   +1 more source

How Do Energy Prices, Financial Conditions, and ESG‐Related Uncertainty Shape Energy Efficiency in the United States? Evidence From Wavelet Quantile Regression

Business Strategy and the Environment, EarlyView.
ABSTRACT Improving energy efficiency is a central pillar of climate mitigation strategies, energy security, and sustainable economic growth, particularly in energy‐intensive economies such as the United States. This study investigates the nonlinear and distribution‐dependent effects of energy prices, financial conditions, economic policy uncertainty ...
Busra Agan Celik
wiley   +1 more source

Joint Optimization of User Association and Dynamic Multi-UAV Deployment for Maritime Emergency Communications. [PDF]

Entropy (Basel)
Ma X, Yang H, Xu Y, Wakamiya N.
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

Enhancing autonomous agriculture control systems in greenhouses for sustainable resource usage using deep learning techniques. [PDF]

PLoS One
Hindi I, Alsharkawi A, Al-Ajlouni M, Qarallah B.   +3 more
europepmc   +1 more source

Infinite Functional Versatility, Formidable Limits: Evaluating Gallium‐Based Liquid Metals in Rechargeable Batteries

Carbon Energy, EarlyView.
Beyond the hype surrounding the self‐healing properties of gallium‐based liquid metals (Ga‐LMs), this perspective critically examines their functional roles in metal‐ion batteries, highlighting both their underlying merits and the often‐overlooked challenges, including non‐representative design and testing configurations, performance overestimations ...
Turly P. P. Sumanasekara, Petar Jovanović, Ali Zavabeti, Dan Yang, Mainak Majumder, Anthony F. Hollenkamp, Torben Daeneke, Mahdokht Shaibani   +7 more
wiley   +1 more source

Deep Reinforcement Learning for Autonomous Underwater Navigation: A Comparative Study with DWA and Digital Twin Validation. [PDF]

Sensors (Basel)
Mari Z, Nawaf MM, Drap P.
europepmc   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

Reinforcement learning-assisted distributionally robust energy management for multi-microgrid networks. [PDF]

Sci Rep
Li H, Zhang Y, Zheng Y, Tan Z, Yue X, Jiang X, Jiang Y, Wang S.   +7 more
europepmc   +1 more source