Search Results - "Gumaei, Abdu"
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TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection
Published in IEEE access (2019)“…The network intrusion detection system is an important tool for protecting computer networks against threats and malicious attacks. Many techniques have…”
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A Novel Two-Stage Deep Learning Model for Efficient Network Intrusion Detection
Published in IEEE access (01-01-2019)“…The network intrusion detection system is an important tool for protecting computer networks against threats and malicious attacks. Many techniques have…”
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3
Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA
Published in IEEE access (2020)“…In recent years, computation offloading has become an effective way to overcome the constraints of mobile devices (MDs) by offloading delay-sensitive and…”
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A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification
Published in IEEE access (2019)“…Brain cancer classification is an important step that depends on the physician's knowledge and experience. An automated tumor classification system is very…”
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Blockchain and Random Subspace Learning-Based IDS for SDN-Enabled Industrial IoT Security
Published in Sensors (Basel, Switzerland) (15-07-2019)“…The industrial control systems are facing an increasing number of sophisticated cyber attacks that can have very dangerous consequences on humans and their…”
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Crow Search Algorithm: Theory, Recent Advances, and Applications
Published in IEEE access (2020)“…In this article, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced with detailed discussions, which is intended to keep researchers…”
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A Hybrid Deep Learning Model for Human Activity Recognition Using Multimodal Body Sensing Data
Published in IEEE access (2019)“…Human activity recognition from multimodal body sensor data has proven to be an effective approach for the care of elderly or physically impaired people in a…”
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A Genetic-Based Extreme Gradient Boosting Model for Detecting Intrusions in Wireless Sensor Networks
Published in Sensors (Basel, Switzerland) (10-10-2019)“…An Intrusion detection system is an essential security tool for protecting services and infrastructures of wireless sensor networks from unseen and…”
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Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model
Published in IEEE access (2021)“…Citrus fruit diseases are the major cause of extreme citrus fruit yield declines. As a result, designing an automated detection system for citrus plant…”
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A Decision-Making Framework Using q-Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information for the Drug Selection to Treat COVID-19
Published in Complexity (New York, N.Y.) (2022)“…In our current era, a new rapidly spreading pandemic disease called coronavirus disease (COVID-19), caused by a virus identified as a novel coronavirus…”
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Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics
Published in Journal of big data (25-05-2021)“…Social media is popular in our society right now. People are using social media platforms to purchase various products. We collected the data from various…”
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A Decision-Fusion-Based Ensemble Approach for Malicious Websites Detection
Published in Applied sciences (01-09-2023)“…Malicious websites detection is one of the cyber-security tasks that protects sensitive information such as credit card details and login credentials from…”
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An Improved Artificial Neural Network Model for Effective Diabetes Prediction
Published in Complexity (New York, N.Y.) (2021)“…Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution…”
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Spherical Fuzzy Sets-Based Cosine Similarity and Information Measures for Pattern Recognition and Medical Diagnosis
Published in IEEE access (2021)“…Spherical fuzzy set (SFS) is a modified version of fuzzy set (FS) to cope with uncertainty and complicated data in real-decision theory. In this article, some…”
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CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings
Published in IEEE access (01-01-2021)“…The alarmingly high mortality rate and increasing global prevalence of cardiovascular diseases (CVDs) signify the crucial need for early detection schemes…”
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Towards effective and efficient online exam systems using deep learning-based cheating detection approach
Published in Intelligent systems with applications (01-11-2022)“…With the high growth of digitization and globalization, online exam systems continue to gain popularity and stretch, especially in the case of spreading…”
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Interdependency of Complex Fuzzy Neighborhood Operators and Derived Complex Fuzzy Coverings
Published in IEEE access (2021)“…Complex fuzzy coverings (CFCs) are the natural mixture of the complex fuzzy sets (CFSs) and coverings, which are the modified versions of the coverings by…”
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GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism
Published in Sensors (Basel, Switzerland) (09-09-2020)“…GPS datasets in the big data regime provide rich contextual information that enable efficient implementation of advanced features such as navigation, tracking,…”
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q-Rung Orthopair Fuzzy Rough Einstein Aggregation Information-Based EDAS Method: Applications in Robotic Agrifarming
Published in Computational intelligence and neuroscience (2021)“…The main purpose of this manuscript is to present a novel idea on the q-rung orthopair fuzzy rough set (q-ROFRS) by the hybridized notion of q-ROFRSs and rough…”
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Facial emotion recognition using deep quantum and advanced transfer learning mechanism
Published in Frontiers in computational neuroscience (30-10-2024)“…Introduction Facial expressions have become a common way for interaction among humans. People cannot comprehend and predict the emotions or expressions of…”
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