In recent years, time series forecasting has become an essential tool for stock market analysts to make informed decisions regarding prices. The present research makes use of various exponential smoothing methods. These include with multiplicative errors and additive trend (MAN), (MNN), simple (ANN) the prices six different companies in petroleum, electricity, gas industries that are listed IBE...

Given a set D of trajectories, a query object q, and a query time extent C, amutual (i.e., symmetric) nearest neighbor (MNN) query over trajectories finds from D, the set of trajectories that are among the k1 nearest neighbors (NNs) of q within C, and meanwhile, have q as one of their k2 NNs. This type of queries is useful inmany applications such as decisionmaking, data mining, and pattern rec...

(a) (b) Affine coordinate plane Image Plane α β β α Image Plane plane coordinate Affine Figure 4. The increases error regions and the effect of the error partitioning: The measured locations of the image basis are inside the error regions around their true locations (three small squares at left and bottom of (a)) but the transformation error implies that verification of some other point must be...

Few-shot learning (FSL) aims to classify images under low-data regimes, where the conventional pooled global feature is likely lose useful local characteristics. Recent work has achieved promising performances by using deep descriptors. They generally take all descriptors from neural networks into consideration while ignoring that some of them are useless in classification due their limited rec...

In this brief, we propose a new neuro-fuzzy reinforcement learning-based control (NFRLC) structure that allows autonomous underwater vehicles (AUVs) to follow desired trajectory in large-scale complex environments precisely. The accurate tracking problem is solved by unique online NFRLC method designed based on actor-critic (AC) structure. Integrating the framework including an adaptive multila...

Many of the works conducted on algorithm selection strategies—methods that choose a suitable solving method for particular problem—start from scratch since only few investigations reusable components such methods are found in literature. Additionally, researchers might unintentionally omit some implementation details when documenting strategy. This makes it difficult others to reproduce behavio...

Due to the enhancement of human activities on global scale, total amount atmospheric nitrogen (N) deposition and rate keep increasing, which seriously affect structure function terrestrial ecosystems. In order study effects N soil coastal saline wetlands, we established a long-term simulation platform in 2012 Yellow River delta (YRD). Herein, analyzed composition diversity microbial community u...

Nearest neighbor techniques are commonly used in remote sensing, pattern recognition and statistics to classify objects into a predefined number of categories based on a given set of predictors. These techniques are especially useful for highly nonlinear relationship between the variables. In most studies the distance measure is adopted a priori. In contrast we propose a general procedure to fi...

The use of steel flexible barriers to mitigate landslide risk on natural hillsides is becoming common in the past decade Hong Kong. current design approach for this kind barrier structure involves adoption hydrodynamic load model predict dynamic impact forces, followed by non-linear structural analyses using numerical programs based pseudo-static force method. From local guidelines, pressure co...