An efficient Lookup Table (LUT) design for memory-based multiplier is proposed.  This multiplier can be preferred in DSP computation where one of the inputs, which is filter coefficient to the multiplier, is fixed. In this design, all possible product terms of input multiplicand with the fixed coefficient are stored directly in memory. In contrast to an earlier proposition Odd Multiple Storage ...

This article provides a background and descriptive analysis of insect memory the coding olfactory sensation in Drosophila, presenting graphs summary statistics from large dataset neurons synapses that was recently made publicly available also discussing findings existing empirical literature. Some general principles Drosophila olfaction are discussed as they apply to design analogous systems ar...

Abstract A vast and growing literature on explaining deep learning models has emerged. This paper contributes to that by introducing a global gradient-based model-agnostic method, which we call Marginal Attribution Conditioning Quantiles (MACQ). Our approach is based analyzing the marginal attribution of predictions (outputs) individual features (inputs). Specifically, consider variable importa...

Streaming classification methods assume the number of input features is fixed and always received. But in many real-world scenarios, some are reliable while others unreliable or inconsistent. We propose a novel online deep learning-based model called Auxiliary Network (Aux-Net), which scalable agile can handle any inputs at each time instance. The Aux-Net based on hedging algorithm gradient des...

In 1998, Sherman and Guillery proposed that there are two types of inputs to cortical neurons; drivers and modulators. These two forms of input are required to explain how, for example, sensory driven responses are controlled and modified by attention and other internally generated gating signals. One might imagine that driver signals are carried by fast ionotropic receptors, whereas modulators...

Rice is one of the most important crops for food security and rural livelihoods in many developing countries Asia. However, current rice farming practices heavily rely on synthetic fertilizers pesticides that pose a significant threat to environment. Further, overuse inputs might lead wastage resources. Therefore, this research examines impact shocks experienced by farmers their risk attitude, ...

in this paper, we prove some approximate fixed point results for proximinal valued $beta$-contractive multifunctions on metric spaces. we show that our results generalize some old fixed point results in the literature.

Fixed-point logic with rank (FPR) is an extension of fixed-point counting (FPC) operators for computing the a matrix over finit field. The expressive power FPR properly extends that FPC and contained in P, but it not known if containment proper. We give circuit characterization terms families symmetric circuits gates, along lines given by Anderson Dawar 2017. This requires development broad fra...

Deep-unfolding neural networks (NNs) have received great attention since they achieve satisfactory performance with relatively low complexity. Typically, these deep-unfolding NNs are restricted to a fixed-depth for all inputs. However, the optimal number of layers required convergence changes different In this paper, we first develop framework deep deterministic policy gradient (DDPG)-driven ad...