Real-world applications have been dealing with large amounts of data that arrive over time and generally present changes in their underlying joint probability distribution, i.e., concept drift. Concept drift can be subdivided into two types: virtual drift, which affects the unconditional distribution p(x), real conditional p(y|x). Existing works focuses on However, strategies to cope may not be...

Calculating and monitoring customer churn metrics is important for companies to retain customers earn more profit in business. In this study, a prediction framework developed by modified spectral clustering (SC). However, the similarity measure plays an imperative role predicting with better accuracy analyzing industrial data. The linear Euclidean distance traditional SC replaced non-linear S-d...

One of the most critical issues associated with analysis lunar seismic data is intense scattering, which prevents precise phase identifications, thereby resulting in poor constraints on internal structure Moon. Although some studies estimated subsurface scattering properties from analyses Apollo data, have large uncertainties and are still open to be resolved improve inner model While previous ...

Background: Faba bean is a crop of agro-ecological and socio-economic importance in Morocco. Thus, changing climatic context, it important to develop varieties that are resilient several abiotic constraints, such as synthetics. However, the reproductive system must be understood. Methods: We aimed estimate faba beans outcrossing rate under natural Moroccan conditions, using two varieties, ‘Rein...

tall fescue is a cool season grass widely distributed and adapted to different environmental conditions of iran. superior seed-yielding potential of the plant is an important criterion during the seed reproduction phases of breeding new cultivars and as well under commercial seed production conditions. in order to evaluate germplasm and investigate the pattern of genetic variation of seed trait...

Assessing the potential drivers of farmers using pesticidal plants for crop protection is essential wider adoption. However, few studies have focused on collaborative assessments underlying trade-offs when plant extracts pest control. Smallholder in northern Tanzania involved farmer driven research assessing evaluated costs, benefits, and areas future investment. A questionnaire was used to col...

This paper presents a hardness-aware deep metric learning (HDML) framework for image clustering and retrieval. Most existing methods employ the hard negative mining strategy to alleviate lack of informative samples training. However, this only utilizes subset training data, which may not be enough characterize global geometry embedding space comprehensively. To address problem, we perform linea...

The ongoing outbreak of coronavirus disease 2019 (COVID-19), triggered by the rapid community spread severe acute respiratory syndrome 2 (SARS-CoV-2), has brought forward need for speedy testing and manufacturing face masks global use. Overwhelmed fast-growing demand disposable masks, many governments have recommended use of, elaborated design criteria for, reusable that are meant to slow down ...