Search Results - "Saleh, Hager"
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OPCNN-FAKE: Optimized Convolutional Neural Network for Fake News Detection
Published in IEEE access (2021)“…Recently, there is a rapid and wide increase in fake news, defined as provably incorrect information spread with the goal of fraud. The spread of this type of…”
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Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis
Published in Sensors (Basel, Switzerland) (12-05-2022)“…Sentiment analysis was nominated as a hot research topic a decade ago for its increasing importance in analyzing the people's opinions extracted from social…”
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3
Real-Time System Prediction for Heart Rate Using Deep Learning and Stream Processing Platforms
Published in Complexity (New York, N.Y.) (2021)“…Low heart rate causes a risk of death, heart disease, and cardiovascular diseases. Therefore, monitoring the heart rate is critical because of the heart’s…”
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4
New records of family Chalcididae (Hymenoptera: Chalcidoidea) on vegetables ecosystem from New Delhi, India
Published in Oriental insects (01-10-2024)“…Chalcidids are important primary parasitoids for controlling several economic insect pests, and some are secondary parasitoids. These specimens were collected…”
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Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data
Published in Future generation computer systems (01-02-2021)“…Alzheimer’s disease (AD) is a severe neurodegenerative disease. The identification of patients at high risk of conversion from mild cognitive impairment to AD…”
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Predicting Breast Cancer Based on Optimized Deep Learning Approach
Published in Computational intelligence and neuroscience (19-03-2022)“…Breast cancer is a dangerous disease with a high morbidity and mortality rate. One of the most important aspects in breast cancer treatment is getting an…”
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First record of Apanteles hemara (N.) on Leucinodes orbonalis Guenée and biodiversity of Hymenoptera parasitoids on Brinjal
Published in PeerJ (San Francisco, CA) (29-03-2024)“…The brinjal fruit and shoot borer (BFSB), Guenée (Lepidoptera: Crambidae), is a very detrimental pest that causes significant economic losses to brinjal crop…”
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Computer aided progression detection model based on optimized deep LSTM ensemble model and the fusion of multivariate time series data
Published in Scientific reports (28-09-2023)“…Alzheimer’s disease (AD) is the most common form of dementia. Early and accurate detection of AD is crucial to plan for disease modifying therapies that could…”
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The hymenopterous parasitoids of the diamondback moth, Plutella xylostella (L.) (Lepidoptera: Plutellidae), on cruciferous vegetables in Delhi, India
Published in Egyptian journal of biological pest control (01-12-2023)“…Background The diamondback moth (DBM), Plutella xylostella (L.) (Lepidoptera: Plutellidae), is a serious and economically important pest of crucifers in Delhi,…”
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Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models
Published in Applied sciences (01-03-2023)“…Chronic kidney disease (CKD) refers to the gradual decline of kidney function over months or years. Early detection of CKD is crucial and significantly affects…”
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Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia
Published in Complexity (New York, N.Y.) (2021)“…The novel coronavirus disease (COVID-19) is regarded as one of the most imminent disease outbreaks which threaten public health on various levels worldwide…”
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12
An Optimized Hybrid Deep Learning Model to Detect COVID-19 Misleading Information
Published in Computational intelligence and neuroscience (2021)“…Fake news is challenging to detect due to mixing accurate and inaccurate information from reliable and unreliable sources. Social media is a data source that…”
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13
Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence
Published in Diagnostics (Basel) (01-04-2023)“…Polycystic ovary syndrome (PCOS) has been classified as a severe health problem common among women globally. Early detection and treatment of PCOS reduce the…”
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14
Predicting Coronavirus Pandemic in Real-Time Using Machine Learning and Big Data Streaming System
Published in Complexity (New York, N.Y.) (2020)“…Twitter is a virtual social network where people share their posts and opinions about the current situation, such as the coronavirus pandemic. It is considered…”
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Predicting Systolic Blood Pressure in Real-Time Using Streaming Data and Deep Learning
Published in Mobile networks and applications (01-02-2021)“…High systolic blood pressure causes many problems, including stroke, brain attack, and others. Therefore, examining blood pressure and discovering issues…”
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Swin-GA-RF: genetic algorithm-based Swin Transformer and random forest for enhancing cervical cancer classification
Published in Frontiers in oncology (19-07-2024)“…Cervical cancer is a prevalent and concerning disease affecting women, with increasing incidence and mortality rates. Early detection plays a crucial role in…”
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Machine Learning for Smart Environments in B5G Networks: Connectivity and QoS
Published in Computational intelligence and neuroscience (2021)“…The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of…”
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Enhanced Arabic Sentiment Analysis Using a Novel Stacking Ensemble of Hybrid and Deep Learning Models
Published in Applied sciences (01-09-2022)“…Sentiment analysis (SA) is a machine learning application that drives people’s opinions from text using natural language processing (NLP) techniques…”
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ViT-PSO-SVM: Cervical Cancer Predication Based on Integrating Vision Transformer with Particle Swarm Optimization and Support Vector Machine
Published in Bioengineering (Basel) (18-07-2024)“…Cervical cancer (CCa) is the fourth most prevalent and common cancer affecting women worldwide, with increasing incidence and mortality rates. Hence, early…”
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Cervical Cancer Diagnosis Using Stacked Ensemble Model and Optimized Feature Selection: An Explainable Artificial Intelligence Approach
Published in Computers (Basel) (01-10-2023)“…Cervical cancer affects more than half a million women worldwide each year and causes over 300,000 deaths. The main goals of this paper are to study the effect…”
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