Results 1 to 10 of about 41,575 (296)
A Survey of DNN Methods for Blind Image Quality Assessment [PDF]
IEEE Access, 2019 Blind image quality assessment (BIQA) methods aim to predict quality of images as perceived by humans without access to a reference image. Recently, deep learning methods have gained substantial attention in the research community and have proven useful ...
Xiaohan Yang, Fan Li, Hantao Liu
exaly +4 more sources
In-Depth Analysis of Various Artificial Intelligence Techniques in Software Engineering: Experimental Study [PDF]
Journal of Information Technology Management, 2023 In this paper, we have extended our literature survey with experimental implementation. Analyzing numerous Artificial Intelligence (AI) techniques in software engineering (SE) can help understand the field better; the outcomes will be more effective when
Mohd Mustaqeem +3 more
doaj +1 more source
A Flexible Accession for Brain Tumour Detection and Classification using AI Methodologies: Survey [PDF]
E3S Web of Conferences, 2021 In order to get a successful and appropriate treatment for the disorder regarding health, précised and identifying it early is much important in the scenario of brain tumor treatment.
Manaswi V Ramya, Sankarababu B
doaj +1 more source
From Quantized DNNs to Quantizable DNNs [PDF]
Proceedings of the British Machine Vision Conference 2020, 2020 This paper proposes Quantizable DNNs, a special type of DNNs that can flexibly quantize its bit-width (denoted as `bit modes' thereafter) during execution without further re-training. To simultaneously optimize for all bit modes, a combinational loss of all bit modes is proposed, which enforces consistent predictions ranging from low-bit mode to 32-bit
Kunyuan Du, Ya Zhang 0002, Haibing Guan
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Computer Numerical Control CNC Machine Health Prediction using Multi-domain Feature Extraction and Deep Neural Network Regression [PDF]
Journal of Engineering Research - Egypt, 2022 Tool wear monitoring has become more vital in intelligent production to enhance Computer Numerical Control CNC machine health state. Multidomain features may effectively define tool wear status and help tool wear prediction.
Dina adel +4 more
doaj +1 more source
Machine Learning, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fraccaroli M., Lamma E., Riguzzi F.
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Practical Knowledge Distillation: Using DNNs to Beat DNNs
CoRR, 2023 11 pages, 1 figure, 17 ...
Chung-Wei Lee +2 more
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Peningkatan Deep Neural Network pada Kasus Prediksi Diabetes Menggunakan PSO
Techno.Com, 2023 Diabetes adalah ancaman utama bagi kesehatan penduduk dunia yang saat ini merupakan penyebab utama kematian pada penduduk dunia yang berusia kurang dari 60 tahun. Dengan menggunakan Machine Learning diharapkan mampu memprediksi diabetes.
Rusmal Firmansyah, Guruh Fajar Shidik
doaj +1 more source
DNN Quantization with Attention
CoRR, 2021 Low-bit quantization of network weights and activations can drastically reduce the memory footprint, complexity, energy consumption and latency of Deep Neural Networks (DNNs). However, low-bit quantization can also cause a considerable drop in accuracy, in particular when we apply it to complex learning tasks or lightweight DNN architectures.
Ghouthi Boukli Hacene +3 more
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MODELING NUCLEAR DATA UNCERTAINTIES USING DEEP NEURAL NETWORKS [PDF]
EPJ Web of Conferences, 2021 A new concept using deep learning in neural networks is investigated to characterize the underlying uncertainty of nuclear data. Analysis is performed on multi-group neutron cross-sections (56 energy groups) for the GODIVA U-235 sphere.
Radaideh Majdi I. +2 more
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