clusters of multi-cores, achieving a $40\times$ speedup over the Gadget-2 simulation code.doi:10.1137/140964266GonnetPedroarXivSiam Journal on Scientific ComputingP. Gonnet. Efficient and scalable algorithms for
Optimizing the drilling process for cost and efficiency requires faster drilling with a higher rate of penetration (ROP). A high ROP usually indicates fast and cost-efficient drilling operations; however, high ROPs may induce unintended events, which may lead to nonproductive time (NPT). In this...
But unfortunately, those algorithms still suffer from not being able to avert local minima, a lack of population diversity, and low convergence speed. As a result, this paper presents a new binary optimization technique based on integrating the equilibrium optimizer (EO) with a new local search ...
We develop a rough bound on our market value estimates by using two different optimization algorithms to dispatch the batteries. Our high-value algorithm assumes perfect foresight of real-time electricity prices when determining optimal dispatch. Conversely, our low-value algorithm uses the optimal sche...
of machine-learning algorithms like Support Vector Machines (SVM), Decision Trees (DT), K-Nearest Neighbors (KNN), and Neural Networks (NN). Despite the promise these techniques hold, their efficacy often wanes when singularly deployed against the multifaceted and sophisticated nature of modern ...
that is efficiently able to slice across either nodes or time, or both. The use of substructures introduces a new problem of ordering when requesting a slice across both nodes and time. Our approach also includes a component topredictwhich substructure is more efficient to slice first for a ...
that performs correction by computing multiple alignments of high coverage long reads. Another class of correction algorithms rely on short reads generated from the same (or related) samples, and is therefore referred ashybrid correction algorithms. An example of such a hybrid correction algorithm is...
However, the standard Global Positioning System (GPS) is insufficient for such indoor environments as it requires new infrastructure based on different technologies and algorithms. Instead, Radio Frequency Identification (RFID)-based real-time indoor localization systems and a hybrid algorithm are ...
Still, either TDS or BUG individually suffers from poor performance for certain valuing of k-anonymity parameter. In this paper, we propose a hybrid approach that combines TDS and BUG together for efficient sub-tree anonymization over big data. Further, we design MapReduce algorithms for the two...
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms. Sci. Total Environ. 741, 139937 [43] Peethambaran, B., Anbalagan, R., Kanungo, D.P., Goswami, A., Shihabud...