Virtual currencies have been declared as one of the financial assets that are widely recognized exchange currencies. The cryptocurrency trades caught attention investors cryptocurrencies can be considered highly profitable investments. To optimize profit investments, accurate price prediction is essential. In view fact a time series task, hybrid deep learning model proposed to predict future cr...

Effectiveness of Condition Based Maintenance (CBM) strategy depends on accuracy in prediction of Remaining Useful Life (RUL).Data driven prognosisapproaches are generally used to estimate the RUL of the system. Presence of noise in the system monitored data may affect the accuracy of prediction. One of the sources of data noise is the presence of unknown initial wear in the samples. Present pap...

Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...

This paper proposes a novel fast intra-prediction algorithm that exploits the Sobel operator to replace the Hadamard transform used in the Rough Mode Decision (RMD) process of intra prediction in High Efficiency Video Coding (HEVC). First, the Sobel operator is used to calculate the vector direction of each pixel. A judgment is then made on which prediction mode the vector belongs to, and a his...

This paper proposes a novel fast intra-prediction algorithm that exploits the Sobel operator to replace the Hadamard transform used in the Rough Mode Decision (RMD) process of intra prediction in High Efficiency Video Coding (HEVC). First, the Sobel operator is used to calculate the vector direction of each pixel. A judgment is then made on which prediction mode the vector belongs to, and a his...

OBJECTIVE To refine the CT prediction of emphysema by comparing histology and CT for specific regions of lung. To incorporate both regional lung density measured by CT and cluster analysis of low attenuation areas for comparison with histological measurement of surface area per unit lung volume. METHODS The histological surface area per unit lung volume was estimated for 140 samples taken fro...

Autonomic nervous system (ANS) is the part of the nervous system that is involved in homeostasis of the whole body functions. A malfunction in this system can lead to a cardiovascular dysautonomias. Hence, a set of dynamic tests are adopted in ANS units to diagnose and treat patients with cardiovascular dysautonomias. The purpose of this study is to develop and evaluate a decision tree based ca...

Shared memory multiprocessors require reconfigurable interconnection networks (INs) for scalability. These INs are reconfigured by an IN control unit. However, these INs are often plagued by undesirable reconfiguration time that is primarily due to control latency, the amount of time delay that the control unit takes to decide on a desired new IN configuration. To reduce control latency, a trai...