DNA Input Classification by a Riboregulator-Based Cell-Free Perceptron
Sign Up to like & getrecommendations! Published in 2022 at "ACS Synthetic Biology"
DOI: 10.1021/acssynbio.1c00596
Abstract: The ability to recognize molecular patterns is essential for the continued survival of biological organisms, allowing them to sense and respond to their immediate environment. The design of synthetic gene-based classifiers has been explored previously;… read more here.
Keywords: perceptron; classification; wso; output ... See more keywords
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
Sign Up to like & getrecommendations! Published in 2018 at "Nature Communications"
DOI: 10.1038/s41467-018-04482-4
Abstract: The progress in the field of neural computation hinges on the use of hardware more efficient than the conventional microprocessors. Recent works have shown that mixed-signal integrated memristive circuits, especially their passive (0T1R) variety, may… read more here.
Keywords: implementation multilayer; network; perceptron; passive memristive ... See more keywords
A photonic complex perceptron for ultrafast data processing
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-08087-2
Abstract: In photonic neural network a key building block is the perceptron. Here, we describe and demonstrate a complex-valued photonic perceptron that combines time and space multiplexing in a fully passive silicon photonics integrated circuit to… read more here.
Keywords: perceptron; usepackage; complex perceptron; ultrafast data ... See more keywords
Monthly water demand prediction using wavelet transform, first-order differencing and linear detrending techniques based on multilayer perceptron models
Sign Up to like & getrecommendations! Published in 2018 at "Urban Water Journal"
DOI: 10.1080/1573062x.2018.1424219
Abstract: Abstract In this study, combined Discrete Wavelet Transform-Multilayer Perceptron (DWT-MP), combined First-Order Differencing-Multilayer Perceptron (FOD-MP) and combined Linear Detrending-Multilayer Perceptron (LD-MP) were developed and compared with stand-alone Multilayer Perceptron (MP) model for predicting monthly water… read more here.
Keywords: perceptron; multilayer perceptron; monthly water; first order ... See more keywords
PERCEPTRON: an open-source GPU-accelerated proteoform identification pipeline for top-down proteomics
Sign Up to like & getrecommendations! Published in 2021 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkab368
Abstract: Abstract PERCEPTRON is a next-generation freely available web-based proteoform identification and characterization platform for top-down proteomics (TDP). PERCEPTRON search pipeline brings together algorithms for (i) intact protein mass tuning, (ii) de novo sequence tags-based filtering,… read more here.
Keywords: pipeline; perceptron open; identification; top proteomics ... See more keywords
Implementing perceptron models with qubits
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review A"
DOI: 10.1103/physreva.00.000300
Abstract: We propose a method for learning a quantum probabilistic model of a perceptron. By considering a cross entropy between two density matrices we can learn a model that takes noisy output labels into account while… read more here.
Keywords: models qubits; perceptron models; model; implementing perceptron ... See more keywords
Critical Jammed Phase of the Linear Perceptron.
Sign Up to like & getrecommendations! Published in 2019 at "Physical review letters"
DOI: 10.1103/physrevlett.123.115702
Abstract: Criticality in statistical physics naturally emerges at isolated points in the phase diagram. Jamming of spheres is not an exception: varying density, it is the critical point that separates the unjammed phase where spheres do… read more here.
Keywords: jammed phase; cost function; phase linear; perceptron ... See more keywords
High-Throughput Low Power Area Efficient 17-bit 2’s Complement Multilayer Perceptron Components and Architecture for on-Chip Machine Learning in Implantable Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3203179
Abstract: In this manuscript the authors, design new hardware efficient combinational building blocks for a Multi Layer Perceptron (MLP) unit which eliminates the need for hardware generic Digital Signal Processing (DSP) units and also eliminates the… read more here.
Keywords: perceptron; area; power area; high throughput ... See more keywords
Classification of weather conditions based on automatic weather station data using a multi-layer perceptron neural network
Sign Up to like & getrecommendations! Published in 2025 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v37.i1.pp540-550
Abstract: Weather is one of the important elements that greatly determines human activities, especially those related to economic factors. Therefore, understanding weather conditions using weather parameters as a reference is important for human life, so a… read more here.
Keywords: classification; weather conditions; weather; perceptron ... See more keywords
Immune subtype identification and multi-layer perceptron classifier construction for breast cancer
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.943874
Abstract: Introduction Breast cancer is a heterogeneous tumor. Tumor microenvironment (TME) has an important effect on the proliferation, metastasis, treatment, and prognosis of breast cancer. Methods In this study, we calculated the relative proportion of tumor… read more here.
Keywords: perceptron; classifier; breast cancer; tumor ... See more keywords
Novel Low-Power Construction of Chaotic S-Box in Multilayer Perceptron
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24111552
Abstract: Multilayer perceptron is composed of massive distributed neural processors interconnected. The nonlinear dynamic components in these processors expand the input data into a linear combination of synapses. However, the nonlinear mapping ability of original multilayer… read more here.
Keywords: box multilayer; perceptron; low power; multilayer perceptron ... See more keywords