This paper builds on previous regression-based approaches that endeavour to account for spatial effects underlying differences in vehicle kilometres of travel (VKT) by private vehicle. A multilevel modelling (MLM) approach is developed with the intent of isolating the variability in VKT attributable to various levels of geographic aggregation. The approach is applied to the prediction of VKT fo...

Most of the currently existing vision and language pre-training (VLP) methods have mainly focused on how to extract align text features. In contrast mainstream VLP methods, we highlight that two routinely applied steps during crucial impact performance pre-trained model: in-batch hard negative sampling for image-text matching (ITM) assigning large masking probability masked modeling (MLM). Afte...

This document proposes multiple chaos synchronization (CS) systems for power quality (PQ) disturbances classification in a power system. Chen-Lee based CS systems use multiple detectors to track the dynamic errors between the normal signal and the disturbance signal, including power harmonics, voltage fluctuation phenomena, and voltage interruptions. Multiple detectors are used to monitor the d...

Maximum Likelihood Method (MLM) has been one of the most traditional classification methods in remote sensing field, but its disadvantages have been also pointed out. While a prior occurrence probability gives a crucial effect to classification results, most of classifications have been conducted on an assumption that each a prior probability of land cover is equal because of insufficient a pri...

A fast-growing number of high-layer protocols, services and networked applications has been run over computer networks and needs to be managed. A unified, decentralized framework should be used to scale for the current large and complex computing environments. Besides, the management environment should be quickly and easily adaptable to monitor dynamic scenarios. This paper presents the Trace M...

AIM Cost-effectiveness analyses (CEAs) may use data from cluster randomized trials (CRTs), where the unit of randomization is the cluster, not the individual. However, most studies use analytical methods that ignore clustering. This article compares alternative statistical methods for accommodating clustering in CEAs of CRTs. METHODS Our simulation study compared the performance of statistica...

Abstract Knowing that language is often used as a classifier of human intelligence and the development systems understand remains challenge all time (Kryeziu & Shehu, 2022). Natural Language Processing very active field study, where transformers have key role. Transformers function based on neural networks they are increasingly showing promising results. One first major contributions to tra...

This research is concerned with Improving Students’ Ability in Writing Recount Text through Multimodal Learning Management [MLM]. conducted by adopting qualitative and quantitative designs. Specifically, the researcher adopts experimental under design. The respondents of this are 64 students at Junior High School Sumbawa Academic Year 2020/2021. instrument used collecting data a questionnaire, ...