Results 221 to 230 of about 484,401 (253)

Age Range Classification Through Facial Recognition Using Keras Model

International Conference on Computer and Automation Engineering, 2023
This study focuses on the development of an age range classification through facial recognition and Keras Model using a Raspberry Pi Camera. Keras Model and a convolutional neural network will be implemented to help the age range classification ...
April D. Logronio, Rona Christine Reyes, Noel B. Linsangan   +2 more
semanticscholar   +1 more source

A Comparative Study on Satellite Image Analysis for Road Traffic Detection using YOLOv3-SPP, Keras RetinaNet and Full Convolutional Network

2023 8th International Conference on Business and Industrial Research (ICBIR), 2023
Satellite imagery has wide ranging applications that enable different fields including transportation. The authors would like to leverage this technology in terms of collecting traffic data.
Marielet Guillermo, Kate Francisco, Ronnie S. Concepcion, A. Fernando, A. Bandala, R. R. Vicerra, E. Dadios   +6 more
semanticscholar   +1 more source

Integrasi Nilai-Nilai Karakter Kerja Keras Dalam Pembelajaran PPKn Di SMP Negeri 3 Watopute

Mores: Jurnal Pendidikan, Moral dan Kewarganegaraan, 2023
Tujuan penelitian ini untuk mengetahui bagaimana integrasi pendidikan karakter kerja keras dalam pelaksanaan pembelajaran PPKn Di SMP N 3 WATOPUTE.
Y. Mahendra, Abdul Halim Momo, Nerlin, Kata Kunci—, Integrasi, N. Karakter, Kerja Keras, Pembelajaran Ppkn   +7 more
semanticscholar   +1 more source

ANALISIS POLA OPERASI PENYEBERANGAN DERMAGA KERA-KERA – LAKKANGKOTA MAKASSAR

Riset Sains dan Teknologi Kelautan, 2022
AbstrakPelayanan angkutan sungai meliputi pelayanan angkutan penumpang dan barang. Pada umumnya angkutan sungai menggunakan kapal bertipe kecil dengan kepemilikan masyarakat atau perseorangan. Sebagai salah satu daerah obyek wisata di kota Makassar, kelurahan Lakkang yang dikerlilingi oleh sungai memerlukanpelayanan angkutan sungai untuk mobilitas ...
Achmad Fachry, Misliah Misliah, Haris Djalante, Chairunnisa Chairunnisa, Wihdat Djafar   +4 more
openaire   +1 more source

Faktor Penyebab Terjadinya Perilaku Menyimpang Meminum-Minuman Keras di Kalangan Remaja (Studi di Desa Mekar Jaya Kabupaten Muna Barat)

Mores: Jurnal Pendidikan, Moral dan Kewarganegaraan, 2023
Penelitian ini bertujuan untuk: (1) Mengetahui jenis minuman keras yang dikonsumsi  kalangan remaja di Desa Mekar Jaya Kabupaten Muna Barat, (2) Mengetahui faktor-faktor penyebab terjadinya perilaku menyimpang meminum-minuman keras di Kalangan remaja di ...
Faktor Penyebab, Terjadinya Perilaku, Menyimpang Meminum-Minuman, Meminum-Minuman Keras, D. kalangan, Studi Di, Desa Mekar, Jaya Kabupaten, Muna Barat, Ferdiyansyah, Karsadi, Hamuni   +11 more
semanticscholar   +1 more source

Analysis of Deep Learning Libraries: Keras, PyTorch, and MXnet

International Conference on Software Engineering Research and Applications, 2022
As many artificial neural libraries are developing the deep learning algorithm and implementing it became accessible to anyone. This study points out the disparity of performance in deep learning models such as convolutional neural networks (CNN) when ...
Seongsoo Kim, H. Wimmer, Jongyeop Kim
semanticscholar   +1 more source

Covid-19 Face Mask Detection Using TensorFlow, Keras and OpenCV

IEEE India Conference, 2020
COVID-19 pandemic has rapidly affected our day-to-day life disrupting the world trade and movements. Wearing a protective face mask has become a new normal.
Arjya Das, Mohammad Wasif Ansari, Rohini Basak   +2 more
semanticscholar   +1 more source

Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow

Empirical Software Engineering, 2021
Deep Learning (DL) frameworks are now widely used, simplifying the creation of complex models as well as their integration into various applications even among non-DL experts. However, like any other programs, they are prone to bugs.
Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, G. Antoniol   +4 more
semanticscholar   +1 more source

Keras Spatial

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019
The application of deep learning techniques to remote sensing and geospatial data is a burgeoning area of research. However, most state-of-the-art systems have their roots in computer vision with procedures that do not necessarily lend themselves to remote sensing data.
Aiman Soliman, Jeffrey Terstriep
openaire   +1 more source

MolGraph: a Python package for the implementation of molecular graphs and graph neural networks with TensorFlow and Keras

Journal of Computer-Aided Molecular Design, 2022
Molecular machine learning (ML) has proven important for tackling various molecular problems, such as predicting molecular properties based on molecular descriptors or fingerprints.
Alexander Kensert, G. Desmet, D. Cabooter   +2 more
semanticscholar   +1 more source