Results 201 to 210 of about 50,039 (279)
Reward design and hyperparameter tuning for generalizable deep reinforcement learning agents in autonomous racing. [PDF]
Kunda NSS, Kc P, Pandey M, Kumaar AAN.
europepmc +1 more source
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal +6 more
wiley +1 more source
Graph-Enhanced Expectation Maximization for Emission Tomography. [PDF]
Kasai R, Otsuka H.
europepmc +1 more source
ABSTRACT Sustainability reports (SRs) are widely criticized for vague disclosures and selective emphasis on positive outcomes, yet systematic research on two core SR challenges remains limited: materiality (whether disclosed content is relevant) and balance (whether both achievements and challenges are reported).
Mahsa Mohammadrezaei +1 more
wiley +1 more source
Formation-Constrained Cooperative Localization for UAV Swarms in GNSS-Denied Environments. [PDF]
Li Q +6 more
europepmc +1 more source
Target Firm's ESG Engagement and Post–M&A Performance: The Mediating Role of Acquirer's CSR Strategy
ABSTRACT The paper examines whether the environmental, social and governance (ESG) performance of target firms influences both accounting‐based and market‐based corporate financial performance (CFP) within the merger and acquisition (M&A) context and whether this relationship is mediated by the acquirer's corporate social responsibility (CSR) strategy.
Francesco Gangi +4 more
wiley +1 more source
Improved approximate check polytope projection algorithm of ADMM penalized decoding for LDPC codes in IoTs. [PDF]
Zhao Y, Wang B.
europepmc +1 more source
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su +11 more
wiley +1 more source
Predictive modeling of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients. [PDF]
Ironside N +15 more
europepmc +1 more source
Advances in Systems Engineering of Carbon Dioxide Electroreduction
Industrializing CO2 electroreduction hinges on holistic systemic synergy and optimization of all process segments rather than isolated catalytic breakthroughs; Process simulation is a core enabler to build a complete capture–conversion–product industrial chain, positioning CO2RR as a key technology for carbon neutrality.
Weixiang Xiong +6 more
wiley +1 more source

