Results 131 to 140 of about 2,418,461 (282)
High Precision Prediction Model of Wind Speed for Underground Mine Tunnel by Using ASTF Net
This paper proposes an Adaptive Spectral‐Temporal Fusion Net (ASTF‐Net), which features a novel decomposition‐ensemble framework with adaptive feature fusion. This design deliberately balances spectral and temporal features and effectively boosts prediction accuracy in complex ventilation environments. ABSTRACT An Adaptive Spectral‐Temporal Fusion Net (
Ruo‐Qi Li +4 more
wiley +1 more source
A Type‐3 fuzzy ambiguity encoder converts rolling wind, price, reserve‐activation, and confidence features into central estimates and nested uncertainty bounds. These parameters are updated within a receding‐horizon MILP/MIQP that coordinates wind, battery, and supercapacitor capacity across day‐ahead and ancillary‐service markets.
Shurong Yan +5 more
wiley +1 more source
Abstract Neuromorphic devices with learning and memory functions are critical for enabling human‐like tactile perception and interactive control in humanoid robots. However, existing neuromorphic platforms often struggle to reconcile mechanical flexibility with energy efficiency due to material and mechanism constraints.
Xinyu Li +10 more
wiley +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
A Review of Probabilistic and Novel Approaches to Cost Assessment in CCUS Projects
ABSTRACT Although the renewable energy sector is making progress, there is still a long way to go before green energy can be fully utilized. In this context, Carbon Capture Utilization and Storage (CCUS) technologies can act as a temporary bridge between a high‐emission past and a low‐emission future.
Majid Mohajeri, Saman Azadbakht
wiley +1 more source
Our modeling study shows that livestock management strongly influences grazing behavior and animal performance in the Peruvian Andes. Furthermore, adjusting stocking rates and improving animal distribution can enhance forage intake and body condition while increasing forage biomass.
Melody R. Zarria Samanamud +1 more
wiley +1 more source
ABSTRACT Providing healthcare services in conflict‐affected regions like northern Syria is a significant challenge due to ongoing conflict and massive displacement. Mobile clinics offer a flexible solution to meet the urgent healthcare needs of displaced communities.
Jamil Hallak +2 more
wiley +1 more source
Organic neuromorphic optoelectronic sensing materials, intelligent devices, and bionic systems
Due to the excellent performance and biocompatibility, organic neuromorphic photoelectric sensing technology is regarded as a highly promising research field. In this review, Liu et al. summarize the recent advances in related materials, devices, and system integration.
Yu‐ang Liu +4 more
wiley +1 more source
Labor Market Institutions, Fiscal Multipliers, and Macroeconomic Volatility
ABSTRACT How do labor market institutions shape the transmission of government spending shocks and macroeconomic volatility? We develop a theoretical model in which labor market institutions affect fiscal transmission through their effect on wage rigidity, job separation, and matching frictions.
Maximilian Boeck +2 more
wiley +1 more source

