The transport literature is dense regarding short-term traffic predictions, up to the scale of 1 hour, yet less for long-term predictions. also sparse when it comes city-scale mainly because low data availability. In this work, we report an effort investigate whether deep learning models can be useful large-scale prediction task, while focusing on scalability models. We a dataset with 14 weeks ...

let $g$ be a group and $mathcal{n}$ be the class of all nilpotent groups. a subset $a$ of $g$ is said to be nonnilpotent if for any two distinct elements $a$ and $b$ in $a$, $langle a, brangle notin mathcal{n}$. if, for any other nonnilpotent subset $b$ in $g$, $|a|geq |b|$, then $a$ is said to be a maximal nonnilpotent subset and the cardinality of this subset (if it exists) is denoted by $ome...

If A is a weak C∗-Hopf algebra then the category of finite dimensional unitary representations of A is a monoidal C∗-category with monoidal unit being the GNS representation Dε associated to the counit ε. This category has isomorphic left dual and right dual objects which leads, as usual, to the notion of dimension function. However, if ε is not pure the dimension function is matrix valued with...

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During World War I there was much lamentation over the "defects of the draft," and the word "shocking" was in frequent use with reference to the condition of a large proportion of men of military age. When, more recently, it became necessary again for society to interpose a shield of human lives between itself and disaster, its cerebral cells once more became agitated over the report that its y...

We consider the inequality $f \geqslant f\star f$ for real integrable functions on $d$ dimensional Euclidean space where $f\star denotes convolution of $f$ with itself. show that all such are non-negative, which is not case same in $L^p$ any $1 < p \leqslant 2$, defined. also solutions satisfy $\int f(x){\rm d}x \tfrac12$. Moreover, if = \tfrac12$, then must decay fairly slowly: |x| \infty$, an...

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