Results 121 to 130 of about 22,741 (258)

Enhanced twin delayed DDPG with prioritized experience replay and Noisy Nets for regional economic dispatch. [PDF]

Sci Rep
Xu C, Hayashi N, Inuiguchi M, Raymond WJK, Mokhlis H, Illias HA.   +5 more
europepmc   +1 more source

A perspective review of applications of the computed tomography (CT) scan imaging technique for microscopic reservoir rock characterization

Deep Underground Science and Engineering, EarlyView.
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera, Bharadwaj Shukla, Dhruvikkumar Jogani   +2 more
wiley   +1 more source

A cognitive internet of things resource allocation method based on multi-agent reinforcement learning algorithm. [PDF]

Sci Rep
Wang R, Shen Y, Wang D, Li W.
europepmc   +1 more source

Dental development in the tropical gar (Atractosteus tropicus) and the evolution of vertebrate dentitions

Developmental Dynamics, EarlyView.
Abstract Background Dentitions have diversified enormously during vertebrate evolution, involving reductions, modifications, or allocations to prey seizing and processing regions. A combination of ancient and novel features related to dental and oropharyngeal apparatuses is found in extant lineages of non‐teleost fishes, such as the gars.
Anna Pospisilova, Jan Stundl, Lenin Arias‐Rodriguez, Robert Cerny, Vladimír Soukup   +4 more
wiley   +1 more source

Promoting Physical Activity and Peer Relationships in Adolescent Girls Through a Summer Program. [PDF]

Health Promot Pract
Prochnow T, Patterson MS, Flores SA, Park JH, Curran L, Howell E, Jackson D, Trost SG.   +7 more
europepmc   +1 more source

Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change

Ecography, EarlyView.
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa, Sean E. H. Pang, Natalie J. Briscoe, Antoine Guisan, Roberto Salguero-Gómez   +4 more
wiley   +1 more source

Integrated forecasting and deep reinforcement learning for price-based self-scheduling of PV-BESS: Utility-scale evidence in Chile. [PDF]

PLoS One
Pérez J, Lobos G, Bonacic M.
europepmc   +1 more source

Intelligent Control Framework of District Heating Systems Considering Waste Heat Utilization in Data Centers

Energy Science &Engineering, EarlyView.
A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen, Ruifan Zheng, Shengyuan Zhong, Lei Gu, Dongfang Yang, Jun Zhao   +5 more
wiley   +1 more source

The Black‐Box of ESG Scores From Rating Agencies: Do They Genuinely Reflect Sustainability Practices, or Are They Disproportionately Shaped by Financial Performance?

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines the environmental, social and governance (ESG) scoring methodologies used by Bloomberg and S&P Global through the lens of Data Envelopment Analysis (DEA). It addresses a notable gap in the literature by identifying the underlying factors that shape ESG scores and providing practical insights for companies seeking to ...
Philipe Balan, Jorge Antunes, Peter Wanke, Yong Tan, Ali Meftah Gerged   +4 more
wiley   +1 more source

AoI-Aware Data Collection in Heterogeneous UAV-Assisted WSNs: Strong-Agent Coordinated Coverage and Vicsek-Driven Weak-Swarm Control. [PDF]

Sensors (Basel)
Huang L, Li L, Zhao S, Qu D, Xu J.
europepmc   +1 more source