Anomaly detection of high-dimensional data is a challenge because the sparsity of the data Digital Scale distribution caused by high dimensionality hardly provides rich information distinguishing anomalous instances from normal instances.To address this, this article proposes an anomaly detection method combining an autoencoder and a sparse weighte
Sub-Saharan Africa falls among the developing countries with poor standards of living contributing to the high prevalence of malnutrition.Interventions have been conducted, but malnutrition continues to linger, with devastating impacts on vulnerable groups.In Africa, 90% of its children cannot access the minimum Balance Training balanced diet.Also,
Vehicles positioned at varying locations in the platoon exhibit differing levels of MINI-OMEGAS energy consumption, which may result in the platoon breaking up during travel or even prevent successful formation of the platoon.To solve this problem, a vehicle platooning scheme based on two-way auction was proposed.Specifically, the positions in the
We conduct high-accuracy calculations of isotope shift (IS) factors of the states involving the D_{1} and D_{2} lines in Zn II.Together with a global fit Towels to the available optical IS data, we extract nuclear-model independent, precise differential radii for a long chain of Zn isotopes.These radii are compared with the ones inferred from muoni