Results 91 to 100 of about 13,833 (241)
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner +6 more
wiley +1 more source
ABSTRACT Circular supply chain management (CSCM) practices are seen as a solution for addressing society's many significant environmental challenges. Although existing studies recognise the importance of reverse engineering in combating poverty, there is limited knowledge about its effectiveness in shaping CSCM practices to address climate change and ...
Yaw Agyabeng‐Mensah +2 more
wiley +1 more source
ABSTRACT With the rise of digital technology, adolescent cyberviolence has become a growing global concern in public health and criminal justice. This study used nationally representative data from South Korea (2017–2024) to examine the prevalence of eight types of cyberviolence (i.e., verbal abuse, defamation, stalking, sexual abuse, personal ...
Heng Choon (Oliver) Chan +2 more
wiley +1 more source
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley +1 more source
Using Probabilistic Graphic Models to Solve NP-Complete Puzzle Problems
Feng-Cheng Wu
semanticscholar +1 more source
Loot Boxes: Gambling-Like Mechanics in Video Games
Leon Y. Xiao +4 more
semanticscholar +1 more source
Predicting solar cell efficiencies using historical data from a manufacturing process
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley +1 more source
Results on the quantitative μ-calculus qMμ
Annabelle McIver, Carroll Morgan
semanticscholar +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source

