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Perangkat keras komputer

open access: yes, 2020
Hardware merupakan salah satu komponen yang sangat mendukung dalam kinerja sistem komputer. Buku pintar digital hardware komputer berbasis multimedia dibuat dengan tujuan mempermudah pemakai komputer untuk mengenal dan memahami lebih detail perangkat-perangkat hardware melalui informasi yang disajikan dalam bentuk teks,gambar,suara,video dan animasi.
  +33 more sources

Weather Classification Model Performance: Using CNN, Keras-Tensor Flow [PDF]

open access: yesITM Web of Conferences, 2022
Nowadays, automation is at its peak. The article provides a base to examine the weather through the machine without human intervention. This study offers a thorough classification model to forecast a weather type. Here, the model facilitates defining the
Sharma Ashish, Saad Ismail Zaid
doaj   +2 more sources

Keras R-CNN: library for cell detection in biological images using deep neural networks

open access: yesBMC Bioinformatics, 2020
Background A common yet still manual task in basic biology research, high-throughput drug screening and digital pathology is identifying the number, location, and type of individual cells in images.
Jane Hung   +14 more
doaj   +2 more sources

Predicting the baccalaureate students admission: The influence of teacher and administration [PDF]

open access: yesITM Web of Conferences, 2022
In recent years, many data has been created about the field of education in Morocco after the introduction of the Education Information System since 2013, which can be used to study the results of the baccalaureate.
Essayad Abdesslam, Kassimi My Abdellah
doaj   +1 more source

Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras [PDF]

open access: yesarXiv.org, 2023
Semantic segmentation plays a vital role in computer vision tasks, enabling precise pixel-level understanding of images. In this paper, we present a comprehensive library for semantic segmentation, which contains implementations of popular segmentation ...
Divam Gupta
semanticscholar   +1 more source

1D neural network design to detect cardiac arrhythmias

open access: yesVisión Electrónica, 2021
This article shows a neuronal network for deep learning focused on recognizing and classification five types of cardiac signals (Sinus, Ventricular Tachycardia, Ventricular Fibrillation, Atrial Flutter, and Atrial Fibrillation). The final objective is to
Juan Camilo Sandoval-Cabrera   +2 more
doaj   +1 more source

Hand gesture recognition and voice conversion for deaf and Dumb [PDF]

open access: yesE3S Web of Conferences, 2023
In this paper, we purpose a Hand gesture recognition model which can be used in real time application. This model is based on the mediapipe frame work of the google, Tensor flow in openCv and python and classification using feed forward neural network ...
Mopidevi Suneetha   +3 more
doaj   +1 more source

Pengenalan Emosi Pembicara Menggunakan Convolutional Neural Networks

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
Recognition of the speaker's emotions is an important but challenging component of Human-Computer Interaction (HCI). The need for the recognition of the speaker's emotions is also increasing related to the need for digitizing the company's operational ...
Rendi Nurcahyo, Mohammad Iqbal
doaj   +1 more source

Sistem Deteksi Masker Berbasis Jetson Nano dengan Deep Learning Framework TensorFlow

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2023
Indonesia merupakan salah satu negara yang mengalami dampak virus COVID-19. Segala upaya dilakukan untuk menanggulangi penyebaran virus ini. Salah satu langkah yang efisien guna menanggulangi dampak ini adalah dengan menerapkan protokol kesehatan yang ...
Muhammad Luqman Bukhori   +1 more
doaj   +1 more source

Auto-Keras: An Efficient Neural Architecture Search System [PDF]

open access: yesKnowledge Discovery and Data Mining, 2018
Neural architecture search (NAS) has been proposed to automatically tune deep neural networks, but existing search algorithms, e.g., NASNet, PNAS, usually suffer from expensive computational cost.
Haifeng Jin, Qingquan Song, Xia Hu
semanticscholar   +1 more source

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