Topic: aed Goto Github
Some thing interesting about aed
Some thing interesting about aed
aed,Implementações das Disciplinas de Algoritmos e Estruturas de Dados I e II.
User: abriciof
aed,Home of the GLM-AED project - software to simulate aquatic systems
Organization: aquaticecodynamics
Home Page: https://aquatic.science.uwa.edu.au/research/models/GLM/
aed,A springboot secure web app with jsp support.
User: bearddan2000
aed,Neste repositório encontra-se todas as atividades realizadas para disciplina de algoritmos e estruturas de dados
User: caroline-camargo
aed,Trabalho de Algoritmos e Estruturas de Dados III desenvolvido junto com @Yasmin-Camargo e @BiancaBDullius que possui como objetivo realizar a Implementação do problema do empacotamento de caixas, utilizando um algoritmo exato e algoritmos aproximativos
User: caroline-camargo
aed,Reachability of the AEDs (data source = OSM)
User: ccloquet
aed,Algoritmo e Estrutura de dados em Java
User: danroxha
aed,A Telegram bot to locate the nearest Automated External Defibrillator
User: dansmachina
aed,✈️ | C++ app streamlining flight searches, optimizing travel options, and managing airports using graphs
User: davide64-dev
aed,PUBLIC | FCTUC DEI/LEI 2019/2020 - Licenciatura em Engenharia Informatica | AED - Algoritmos e Estruturas de Dados | Labs/TP: Complexidade, Arvores e Ordenamento
User: dftf-pconsole
aed,Flights and Airlines Manager using various principles of Graph Theory. Developed in C++ for the subjetct: "Algorithms and Data Structures"
User: francis802
aed,Timetable Manager using linear data structures, and binary search trees. Allows modification on the different timetables, if possible. Developed in C++ for the subject: "Algorithms and Data Structures"
User: francis802
aed,Exercício proposto da cadeira de IA (Inteligência artificial) realizando a análise exploratória da base de dados diabetes e pokémons.
User: gabrieladnz
aed,AedR es un paquete que contiene algunas herramientas para realizar análisis exploratorio de datos hidrológicos.
User: geomarperales
aed,Exercícios de Algoritmos e Estrutura de dados em java
User: includedaniel
aed,Second project for AED
User: jmsmonteiro
aed,Algoritimo e Estrutura de Dados 2 - Conteúdo dado em sala de aula
User: jonathanbergson
aed,Exercício-Programa da disciplina de AED2 (Análise e Estrutura de Dados) - EACH/USP (Desafio dos "Caminhos mínimos de única origem", implementado com algoritmos de Bellman-Ford e Dijkstra)
User: jrafaelrn
aed,Ejercicios de AED Resueltos. UTN FRRe - 2020.
User: juansegnana
aed,1st Project for AED: L.EIC Schedules
User: jvdcf
aed,Detect dog bark from spectrogram classification using sndfile-tools and darknet
User: lincolnhard
aed,Project about calculating bus routes (with bus changes, and walking distance) in Oporto Portugal. Project done for AEDA in FEUP.
User: marcwferreira
aed,:mortar_board: AEDA/AED -> MIEIC/L.EIC-FEUP, 2020-2021
User: marhcouto
aed,🫀 AED Map for Android and iOS with built-in navigation
User: matisiekpl
Home Page: http://aedmapa.pl
aed,AED map for the Netherlands
Organization: openaed
Home Page: https://openaed.nl
aed,The OpenAED project
Organization: openaed
Home Page: https://www.openaed.eu
aed,Mapa defibrylatorów AED
Organization: openstreetmap-polska
Home Page: https://OpenAEDMap.org
aed,
Organization: openstreetmap-polska
aed,❤️ Backend powering OpenAEDMap.org — an OpenStreetMap's life-saving AED map
Organization: openstreetmap-polska
Home Page: https://OpenAEDMap.org
aed,Map which shows locations of defibrillators (AEDs) and allows adding new ones.
Organization: openstreetmap-polska
Home Page: https://OpenAEDMap.org
aed,💱Currency converter app using CurrencyAPI
User: reshmaharidhas
aed,Análise exploratória de dados (AED) com biblioteca PANDAS e matplotlib para criação de gráficos.
User: rickleite
aed,AED (Automatic External Defibrilator) Data for Slovenia
Organization: sledilnik
aed,Scripts para desenvolvimento do TCC
User: tatyamorim
aed,Trabajo Practico N° 4 para la catedra de AED - UTN FRC
User: theogoro
aed,A collection of manually annotated audio files for acoustic event detection (AED).
User: wa3dbk
aed,Inspired by the convolutional recurrent neural network(CRNN) and inception, we propose a multiscale time-frequency convolutional recurrent neural network (MTF-CRNN) for audio event detection. Our goal is to improve audio event detection performance and recognize target audio events that have different lengths and accompany the complex audio background. We exploit multi-groups of parallel and serial convolutional kernels to learn high-level shift invariant features from the time and frequency domains of acoustic samples. A two-layer bi-direction gated recurrent unit) based on the recurrent neural network is used to capture the temporal context from the extracted high-level features. The proposed method is evaluated on the DCASE2017 challenge dataset. Compared to other methods, the MTF-CRNN achieves one of the best test performances for a single model without pre-training and without using a multi-model ensemble approach.
User: zhang201882
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