Results 11 to 20 of about 683,409 (316)

IsVoNet8: A Proposed Deep Learning Model for Classification of Some Fish Species

open access: yesJournal of Agricultural Sciences, 2023
In the classification of fish, both knowledge and great effort are required to determine the characteristics of fish. Traditionally, however, manual classification of extrinsic characteristics of different fish species has been a difficult and time ...
Özge Zencir Tanır   +2 more
doaj   +1 more source

Hand Gesture Recognition of Static Letters American Sign Language (ASL) Using Deep Learning [PDF]

open access: yesEngineering and Technology Journal, 2020
An American Sign Language (ASL) is a complex language. It is depending on the special gesture stander of marks. These marks are represented by hands with assistance by facial expression and body posture. ASL is the main communication language of deaf and
Abdulwahab Abdulhussein, Firas Raheem
doaj   +1 more source

Praktik Multimedia dalam Jurnalisme Online di Indonesia (Kajian praktik wartawan multimedia di cnnindonesia.com, rappler.com, dan tribunnews.com

open access: yesJurnal Komunikasi, 2017
Perkembangan teknologi informasi membawa jurnalisme berkembang jauh lebih pesat. Cara menyampaikan pesan melalui media pun berubah, tidak lagi monoplatform tetapi multiplatform yang mengintegrasikan tulisan, audio, dan video.
Aghnia R.S Adzkia
doaj   +1 more source

Klasifikasi Jenis Biji Kopi Menggunkan Convolutional Neural Network dan Transfer Learning pada Model VGG16 dan MobileNetV2

open access: yesJRST: Jurnal Riset Sains dan Teknologi, 2023
Proses pengklasifikasian juga digunakan dalam artificial intelligence (AI), yang merupakan kecerdasan yang dibuat oleh komputer, sehingga dapat menirukan tindakan seperti halnya manusia pada umumnya dan dapat menangkap kejadian yang terjadi di lingkungan
Murinto Murinto   +2 more
doaj   +1 more source

A multi-task learning CNN for image steganalysis [PDF]

open access: yes, 2018
Convolutional neural network (CNN) based image steganalysis are increasingly popular because of their superiority in accuracy. The most straightforward way to employ CNN for image steganalysis is to learn a CNN-based classifier to distinguish whether ...
Li, Chang-Tsun   +4 more
core   +1 more source

Çin Halk Cumhuriyeti’nde Yeni Medya Uygulamaları: Nitel Bir Araştırma

open access: yesOnline Academic Journal of Information Technology, 2018
Dijital çağın en önemli iletişim ve etkileşim ortamlarından biri olan yeni medya, dünya üzerindeki yüz milyonlarca insan tarafından farkı amaçlar doğrultusunda kullanılmaktadır. Bu yeni medya platformları, ulaştığı hedef kitle, sahip olduğu özellikler
Ünal Kaya, Elif Kaya, Sefer Kalaman
doaj   +1 more source

Human-centered artificial intelligence-based ice hockey sports classification system with web 4.0

open access: yesJournal of Intelligent Systems, 2022
Systems with human-centered artificial intelligence are always as good as their ability to consider their users’ context when making decisions. Research on identifying people’s everyday activities has evolved rapidly, but little attention has been paid ...
Jiang Yan, Bao Chuncai
doaj   +1 more source

Short-segment heart sound classification using an ensemble of deep convolutional neural networks [PDF]

open access: yes, 2018
This paper proposes a framework based on deep convolutional neural networks (CNNs) for automatic heart sound classification using short-segments of individual heart beats. We design a 1D-CNN that directly learns features from raw heart-sound signals, and
Noman, Fuad   +3 more
core   +2 more sources

Modas ocultas. Una aproximación cualitativa a fenómenos ocultistas

open access: yesVivat Academia, 2001
Desde la última guerra hay en los Estados Unidos más de treinta mil astrólogos, veinte revistas consagradas únicamente a la astrología, de las cuales una tira alrededor de los quinientos mil ejemplares.
Ana Alegre   +3 more
doaj   +1 more source

When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition [PDF]

open access: yes, 2015
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently. However, it remains an open question: why CNNs work well and how to design a 'good' architecture.
Christmas, William   +6 more
core   +2 more sources

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