In this work, we present a comparison between two techniques of image compression. In the first case, the image is divided in blocks which are collected according to zig-zag scan. In the second one, we apply the Fast Cosine Transform to the image, and then the transformed image is divided in blocks which are collected according to zig-zag scan too. Later, in both cases, the Karhunen-Loève trans...

Abstract The study aims at forecasting the return volatility of cryptocurrencies using several machine learning algorithms, like neural network autoregressive (NNETAR), cubic smoothing spline (CSS), and group method data handling (GMDH-NN) algorithm. used in this is spanning from April 14, 2017, to October 30, 2020, covering 1296 observations. We predict four cryptocurrencies, namely Bitcoin, E...

OBJECTIVES We evaluate and compare manually collected paper records against electronic records for monitoring the weights of children under the age of 5. SETTING Data were collected by 24 community health workers (CHWs) in 2 Rwandan communities, 1 urban and 1 rural. PARTICIPANTS The same CHWs collected paper and electronic records. Paper data contain weight and age for 320 boys and 380 girl...

ML and DL algorithms are becoming more popular to predict household food security status, which can be used by the governments policymakers of country provide a supply for needy in case emergency. models, namely: k-Nearest Neighbor (kNN), Logistic Regression (LR), Support Vector Machine (SVM), Naive Bayes (NB), Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) Convolutional network (...

For the enhancement of quality in the software development, to eliminate the repeated work and to improve the efficiency, we require a effective solution that is software reuse. But how to identify and evaluate the performance of reusable software from the existing systems has remained the task for developers. Defining metrics to reusable components has given the structural analysis to the diff...

The recent advent in the field of multimedia proposed a many facilities in transport, transmission and manipulation of data. Along with this advancement of facilities there are larger threats in authentication of data, its licensed use and protection against illegal use of data. A lot of digital image watermarking techniques have been designed and implemented to stop the illegal use of the digi...

We use referential translation machines (RTMs) for predicting the semantic similarity of text in both STS Core and Cross-lingual STS. RTMs pioneer a language independent approach to all similarity tasks and remove the need to access any task or domain specific information or resource. RTMs become 14th out of 26 submissions in Cross-lingual STS. We also present rankings of various prediction tas...

Gas-condensate reservoirs contain hydrocarbon fluids with characteristics between oil and gas reservoirs and a high gas-liquid ratio. Due to the large gas-liquid ratio, wellhead choke calculations using the empirical equations such as Gilbert may contain considerable error. In this study, using drill stem test (DST) data of a gas-condensate reservoir, coefficients of Gilbert equation was modifi...

In India, the first confirmed case of novel corona virus (COVID-19) was discovered on January 30, 2020. The number cases is increasing day by day, and it crossed 21,53,010 August 9, this paper, a hybrid forecasting model has been proposed to determine for upcoming 10 days based earlier found in India. adaptive neuro-fuzzy inference system (ANFIS) mutation-based Bees Algorithm (mBA). meta-heuris...

Compressive strength is an important mechanical property of high-strength concrete (HSC), but testing methods are usually uneconomical, time-consuming, and labor-intensive. To this end, in paper, a long short-term memory (LSTM) model was proposed to predict the HSC compressive using 324 data sets with five input independent variables, namely water, cement, fine aggregate, coarse superplasticize...