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Deep ensemble transfer learning framework for COVID-19 Arabic text identification via deep active learning and text data augmentation
Since the declaration of COVID-19 as an epidemic by the World Health Organization in September 2019, the task of monitoring and managing the spread...
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A Pragmatic Privacy-Preserving Deep Learning Framework Satisfying Differential Privacy
With the increasing use of technology in our daily lives, data privacy has become a critical issue. It is essential to carefully design technologies...
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A deep learning-based framework for road traffic prediction
Due to the exponential rise in the number of vehicles and road segments in cities, traffic prediction becomes more difficult, necessitating the...
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DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts
Smart contract is a new paradigm for the decentralized software system, which plays an important and key role in Blockchain-based application. The...
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XDeMo: a novel deep learning framework for DNA motif mining using transformer models
Motivation: Recognizing and studying DNA patterns is crucial for improving knowledge of illnesses, cell function, and gene control. Motifs determine...
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Quantum mechanics-based deep learning framework considering near-zero variance data
AbstractWith the development of automation technology, big data is collected during operation processes, and among various machine learning analysis...
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A multi-agent adaptive deep learning framework for online intrusion detection
The network security analyzers use intrusion detection systems (IDSes) to distinguish malicious traffic from benign ones. The deep learning-based...
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Prostate cancer grading framework based on deep transfer learning and Aquila optimizer
Prostate cancer is the one of the most dominant cancer among males. It represents one of the leading cancer death causes worldwide. Due to the...
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Hybrid deep learning framework for weather forecast with rainfall prediction using weather bigdata analytics
The volume and complexity of weather data, along with missing values and high correlation between collected variables, make it challenging to develop...
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A deep learning framework for students' academic performance analysis
Students Performance (SP) analysis is regarded as one of the most important steps in the educational system for supporting students' academic success...
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A predictive analytics framework for sensor data using time series and deep learning techniques
IoT devices convert billions of objects into data-generating entities, enabling them to report status and interact with their surroundings. This data...
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Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics
Fault diagnosis is required to ensure the safe operation of various equipment and enables real-time monitoring of associated components. As a result,...
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A framework for training larger networks for deep Reinforcement learning
The success of deep learning in computer vision and natural language processing communities can be attributed to the training of very deep neural...
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FlexPDA: A Flexible Programming Framework for Deep Learning Accelerators
There are a wide variety of intelligence accelerators with promising performance and energy efficiency, deployed in a broad range of applications...
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A deep learning framework for historical manuscripts writer identification using data-driven features
Writer identification form historical manuscripts presents a challenging problem with significant implications for understanding the authorship of...
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Deep-kidney: an effective deep learning framework for chronic kidney disease prediction
Chronic kidney disease (CKD) is one of today’s most serious illnesses. Because this disease usually does not manifest itself until the kidney is...
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Deep reinforcement learning framework for end-to-end semiconductor process control
This work focuses on bringing state-of-the-art artificial intelligence and deep reinforcement learning to the manufacturing of semiconductor devices....
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Deep learning framework for early detection of COVID-19 using X-ray images
The whole world is imposing efforts to combat the deadly COVID-19 virus that continues to have a disastrous effect on health, economy, education,...
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A graph-optimized deep learning framework for recognition of Barrett’s esophagus and reflux esophagitis
Barrett’s esophagus (BE) recognition is essential for the diagnosis of esophageal adenocarcinoma (EAC), a highly fatal disease when left untreated at...
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CA-CentripetalNet: a novel anchor-free deep learning framework for hardhat wearing detection
To deal with the poor generalization of previous deep learning-based methods, a novel anchor-free deep learning framework called CA-CentripetalNet is...
