Results 121 to 130 of about 484,401 (253)

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Deep learning architectures for Computer Vision [PDF]

, 2016
Deep learning has become part of many state-of-the-art systems in multiple disciplines (specially in computer vision and speech processing). In this thesis Convolutional Neural Networks are used to solve the problem of recognizing people in images, both ...
Roig Marí, Carlos
core  

Brain‐RetinaNet: Detection of Brain Tumour Using an Improved RetinaNet in Magnetic Resonance Imaging

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Brain tumours disrupt the normal functioning of the brain and, if left untreated, can invade surrounding tissues, blood vessels, and nerves, posing a severe threat. Consequently, early detection is crucial to prevent tragic outcomes. Distinguishing brain tumours through manual detection poses a significant challenge given their diverse ...
Rashid Iqbal, Rabbia Mahum, Mohamed Sharaf, Javed Ali Khan   +3 more
wiley   +1 more source

Konstruksi Pendidikan Karakter Kerja Keras Kajian Isi Cerita Film Semesta Mendukung Untuk Pembelajaran PKn [PDF]

, 2013
Penelitian ini bertujuan mendiskripsikan konstruksi pendidikan karakter kerja keras pada film Semesta Mendukung untuk pembelajaran PKn. Teknik pengumpulan data yang digunakan dengan telaah dokumen dan studi kepustakaan.
, Drs. Ahmad Muthali'in. MSi, Nurhayati, Emy   +1 more
core  

Deep reinforcement learning for robust quantum optimization

, 2019
Machine learning techniques based on artificial neural networks have been successfully applied to solve many problems in science. One of the most interesting domains of machine learning, reinforcement learning, has natural applicability for optimization ...
Bergli, Joakim, Sørdal, Vegard B.
core   +1 more source

Deep learning model for enhanced power loss prediction in the frequency domain for magnetic materials

IET Power Electronics, EarlyView.
This paper outlines the methodology for predicting power loss in magnetic materials. A neural network based method is introduced, which adopts a long short‐term memory network, expressing the core loss as a function of magnetic flux density in the frequency domain, temperature, frequency, and classification of the waveforms.
Dixant Bikal Sapkota, Puskar Neupane, Mecon Joshi, Shahabuddin Khan   +3 more
wiley   +1 more source

High‐throughput information extraction of printed specimen labels from large‐scale digitization of entomological collections using a semi‐automated pipeline

Methods in Ecology and Evolution, EarlyView.
Abstract Natural history museums curate billions of insect specimens, representing an unparalleled record of biodiversity. Although large‐scale digitization has expanded access to specimen images, extracting label metadata remains a major bottleneck, typically requiring time‐intensive manual transcription.
Margot Belot, Joël Tuberosa, Leonardo Preuss, Olha Svezhentseva, Magdalena Claessen, Christian Bölling, Franziska Schuster, Théo Léger   +7 more
wiley   +1 more source

FENOMENA KETAHANAN EKONOMI USAHA KECIL DAN MIKRO: Studi pada Pengusaha Perempuan Urban Kota Madiun

Kodifikasia, 2017
Abstraks: Usaha kecil dan mikro merupakan sektor terbesar yang terbukti mampu bertahan menghadapi krisis perekonomian. Namun keberadaannya masih belum banyak mendapat perhatian, pembinaan, bantuan, dan perlindungan.
Agung Eko Purnama
doaj   +1 more source

The persistent advantage of model‐based phylogenetic methods for single‐trait prediction

Methods in Ecology and Evolution, EarlyView.
Abstract Reliable predictions of biological traits support a wide range of applications, from bioprospecting to informing conservation priorities. Given the complexity and diversity of trait evolution, robust methods for trait prediction are essential for drawing meaningful evolutionary inferences from phylogenetic data.
Adam Richard‐Bollans, Daniele Silvestro   +1 more
wiley   +1 more source

Hubungan Antara Tingkat Pendapatan Dan Tingkat Pendidikan Dengan Penggunaan Obat Keras Tanpa Resep Di Masyarakat Desa Gonilan Kecamatan Kartasura Kabupaten Sukoharjo [PDF]

, 2013
Sekitar 58,78% penduduk Indonesia melakukan pengobatan sendiri (Swamedikasi). Dari yang melakukan pengobatan sendiri tersebut sebanyak 83,88% menggunakan obat, sisanya mengunakan obat tradisional.
, Dr. dr. EM Sutrisna, M. Kes, , Gunawan Setiyadi, M.Sc., Apt, Faruqi, Chalik Al   +2 more
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