تصفح حسب الموضوع "Deep learning"
السجلات المعروضة 1 -- 20 من 150
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A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
( Association for Computational Linguistics (ACL) , 2017 , Conference Paper)Opinion mining in Arabic is a challenging task given the rich morphology of the language. The task becomes more challenging when it is applied to Twitter data, which contains additional sources of noise, such as the use ... -
A CNN-Sequence-to-Sequence network with attention for residential short-term load forecasting
( Elsevier , 2022 , Article)Residential short-term load forecasting has become an essential process to develop successful demand response strategies, and help utilities and customers optimize energy production and consumption. Most previous works ... -
A comparative analysis to forecast carbon dioxide emissions
( Elsevier Ltd , 2022 , Article)Despite the growing knowledge and commitment to climate change, carbon dioxide (CO2) emissions continue to rise dramatically throughout the planet. In recent years, the consequences of climate change have become more ... -
A cost-effective 3d acquisition and visualization framework for cultural heritage
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)Museums and cultural institutions, in general, are in a constant challenge of adding more value to their collections. The attractiveness of assets is practically tightly related to their value obeying the offer and demand ... -
A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy
( Springer Verlag , 2018 , Conference Paper)Automated Diabetic Retinopathy (DR) screening methods with high accuracy have the strong potential to assist doctors in evaluating more patients and quickly routing those who need help to a specialist. In this work, we ... -
A Deep Learning Model for LoRa Signals Classification Using Cyclostationay Features
( IEEE Computer Society , 2021 , Conference Paper)With the witnessed exponential growth of Internet of Things (IoT) nodes deployment following the emerging applications, multiple variants of technologies have been proposed to handle the IoT requirements. Among the proposed ... -
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
( Springer New York LLC , 2019 , Article)This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of ... -
A Deep Reinforcement Learning Framework for Data Compression in Uplink NOMA-SWIPT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)<comment< Non-orthogonal multiple access (NOMA) shall play an important role in the current and foreseeable design of 5G and beyond networks. NOMA allows multiple users to share the same time-frequency ... -
A Greedy Layer-Wise Learning Algorithm for Open-Circuit Fault Diagnosis of Grid-Connected Inverters
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)This paper introduces a greedy layer-wise learning algorithm to diagnose open-circuit faults of grid-connected inverters. Inverters play important roles in energy conversion, especially when converting direct current to ... -
A machine learning framework for enhancing digital experiences in cultural heritage
( Emerald Group Publishing Ltd. , 2020 , Article)Purpose: Digital tools have been used to document cultural heritage with high-quality imaging and metadata. However, some of the historical assets are totally or partially unlabeled and some are physically damaged, which ... -
A meta-framework for modeling the human reading process in sentiment analysis
( Association for Computing Machinery , 2016 , Article)This article introduces a sentiment analysis approach that adopts the way humans read, interpret, and extract sentiment from text. Our motivation builds on the assumption that human interpretation should lead to the most ... -
A New Forensic Video Database for Source Smartphone Identification: Description and Analysis
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In recent years, the field of digital imaging has made significant progress, so that today every smartphone has a built-in video camera that allows you to record high-quality video for free and without restrictions. On the ... -
A review of bioinformatics tools and web servers in different microarray platforms used in cancer research
( Elsevier , 2022 , Book chapter)Over the past decade, conventional lab work strategies have gradually shifted from being limited to a laboratory setting towards a bioinformatics era to help manage and process the vast amounts of data generated by omics ... -
A review of deep learning-based detection methods for COVID-19
( Elsevier Ltd , 2022 , Article)COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the spread of infection. Lung images are used in the detection of coronavirus infection. Chest X-ray (CXR) and computed tomography (CT) ... -
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
( Academic Press , 2021 , Article Review)Monitoring structural damage is extremely important for sustaining and preserving the service life of civil structures. While successful monitoring provides resolute and staunch information on the health, serviceability, ... -
A Scene-to-Speech Mobile based Application: Multiple Trained Models Approach
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)The concept of Scene-to-Speech (STS) is to recognize elements in a captured image or a video clip to speak loudly an informative textual content that describes the scene. The contemporary progression in convolution neural ... -
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The Internet of Things (IoT) integrates billions of smart devices that can communicate with one another with minimal human intervention. IoT is one of the fastest developing fields in the history of computing, with an ... -
Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its first known detection in December 2019. As a result, accurate and reliable advance warning system for the early diagnosis of COVID-19 ... -
AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques
( Ain Shams University , 2023 , Article)Internet of Things (IoT) and Artificial Intelligence (AI) technologies are currently replacing the traditional methods of handling buildings, infrastructure, and facilities design, control, and maintenance due to their ... -
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
( Springer Nature , 2022 , Article)In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control ...