Results 71 to 80 of about 76,576 (286)
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan +5 more
wiley +1 more source
A Comparative Analysis of STM Approaches to Reduction Operations in Irregular Applications [PDF]
As a recently consolidated paradigm for optimistic concurrency in modern multicore architectures, Transactional Memory (TM) can help to the exploitation of parallelism in irregular applications when data dependence information is not available up to run-
Bienia +30 more
core +1 more source
Making care audible: Musical gifts and affective reciprocity in the clinic
Abstract In clinical settings, music therapy is frequently received as a gift—a voluntary offering that invites but does not demand participation. Drawing on ethnographic research with music therapists and patients in Canadian and American hospitals, this article examines how clinical care is co‐constituted through practices of giving, receiving, and ...
Meredith Evans
wiley +1 more source
In the field of computational biology, in order to simulate multiscale biological systems, the Cellular Potts Model (CPM) has been used, which determines the actions that simulated cells can perform by determining a hamiltonian of energy that takes into ...
Tomeu Antonio J., Salguero Alberto G.
doaj +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Discovery of Frequent Itemsets: Frequent Item Tree-Based Approach
Mining frequent patterns in large transactional databases is a highly researched area in the field of data mining. Existing frequent pattern discovering algorithms suffer from many problems regarding the high memory dependency when mining large amount of
A. V. Senthil Kumar, R. S. D. Wahidabanu
doaj
Advances in VLSI technology have rendered the implementation of complex operation sequences or transactions inside the body of hardware memory chips a concrete possibility. We show that such an implementation will provide an attractive performance gain and demonstrate the effectiveness through simulation.
null Leong, null Choy
openaire +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Motive and Opportunity: Order Choice in a Limit Order Book With Dispersed Information
ABSTRACT We test predictions of market microstructure theory relating to the determinants of order choice in a limit order book where information is dispersed among traders. Using an experimental limit order book, with a large state space, we find that informed traders exhibit patience, compatible with the ‘waiting game’ behaviour described in Foster ...
James Steeley +2 more
wiley +1 more source
Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment
ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
wiley +1 more source

