[PDF][PDF] Artificial intelligence techniques for cancer detection and classification: review study

ARM Al-shamasneh, UHB Obaidellah - European Scientific Journal, 2017 - core.ac.uk
Cancer is the general name for a group of more than 100 diseases. Although cancer
includes different types of diseases, they all start because abnormal cells grow out of control …

Artificial intelligence based data processing algorithm for video surveillance to empower industry 3.5

MT Nguyen, LH Truong, TT Tran, CF Chien - Computers & Industrial …, 2020 - Elsevier
Nowadays, the demand of camera surveillance systems (CSS) has been increasingly
adopted in various industries for smart manufacturing. However, the increase of utilizing …

Yapay zekâ ve tıbbi görüntüleme teknolojilerine genel bakış

F Atlan, İ Pençe - Acta Infologica, 2021 - dergipark.org.tr
Günümüzde yapay zekânın kullanıldığı alanlar her geçen gün artmakta olup, bu alanlardan
biri de sağlık sektörüdür. Özellikle görüntü işlemede oldukça başarılı sonuçlar vermesi …

Multi-layer additive tensor decomposition of infrared video for titanium alloy tensile testing

T Zhang, J Liu, Y Ai, W Zhang - Engineering Applications of Artificial …, 2023 - Elsevier
Infrared video (in mathematics terms, tensor) has been widely used in the tensile testing of
metallic materials, such as titanium alloy and steel. The infrared video of the tensile testing …

Complexity matters: Normalization to prototypical viewpoint induces memory distortion along the vertical axis of scenes

Y Wu, S Li - Journal of Neuroscience, 2024 - jneurosci.org
Scene memory is prone to systematic distortions potentially arising from experience with the
external world. Boundary transformation, a well-known memory distortion effect along the …

A rule-based expert advisory system for restaurants using machine learning and knowledge-based systems techniques

KMO Nahar, M Banikhalaf, F Ibrahim… - … Journal on Semantic …, 2023 - igi-global.com
A healthy diet and daily physical activity are a cornerstone in preventing serious diseases
and conditions such as heart disease, diabetes, high blood pressure, and hypertension …

A Framework for Compressed Weighted Nonnegative Matrix Factorization

F Yahaya, M Puigt, G Delmaire… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper we propose a novel framework that successfully combines random projection
or compression to weighted Nonnegative Matrix Factorization (NMF). Indeed a large body of …

Optimal learning samples for two-constant Kubelka-Munk theory to match the color of pre-colored fiber blends

J Li, D Xie, M Li, S Liu, CA Wei - Frontiers in Neuroscience, 2022 - frontiersin.org
Due to the dyeing process, learning samples used for color prediction of pre-colored fiber
blends should be re-prepared once the batches of the fiber change. The preparation of the …

[PDF][PDF] An overview of artificial intelligence and medical imaging technologies

F ATLAN, İ PENÇE - Acta Infologica, 2021 - dergipark.org.tr
Nowadays, the use of artificial intelligence is increasing steadily, particularly in the health
sector. Deep learning, which is a sub-branch of artificial intelligence, is frequently preferred …

Multimodal 3D rigid image registration based on expectation maximization

MJ Velázquez-Durán, DU Campos-Delgado… - Health and …, 2020 - Springer
Image registration is an important task in medical imaging, capable of finding displacement
fields to align two images of the same anatomic structure under different conditions (eg …