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Results for “"Iqbal H. Sarker"”

31+ results

Cyber Intrusion Detection Using Machine Learning Classification Techniques

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Hamed Alqahtani, Iqbal H. Sarker, Asra Kalim, Syed Md. Minhaz Hossain et al.

Journal: Communications in computer and information scienceYear: 2020Citations: 170

As the alarming growth of connectivity of computers and the significant number of computer-related applications increase in recent years, the challenge of fulfilling cyber-security is increasing consistently. It also needs a proper protection system for numerous cyberattacks. Thus, detecting inconsi...

Physical SciencesComputer ScienceComputer Networks and Communications
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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

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Iqbal H. Sarker

Journal: Preprints.orgYear: 2021Citations: 168

Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or Industry 4.0). Due to its learning capabilities from data, DL technology originated from artificial neural network (ANN),...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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A critical review of sustainable application of biochar for green remediation: Research uncertainty and future directions

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Md Abdullah Al Masud, Won Sik Shin, Aniruddha Sarker, Ardie Septian et al.

Journal: The Science of The Total EnvironmentYear: 2023Citations: 164

Biochar, a carbon-rich material produced from the pyrolysis of organic biomass, has gained significant attention as a potential solution for sustainable green remediation practices. Several studies analyze biomass-derived biochar techniques and environmental applications, but comprehensive assessmen...

Physical SciencesMaterials ScienceBiomaterials
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Performance Analysis of Machine Learning Techniques to Predict Diabetes Mellitus

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Md Faruque, Asaduzzaman Asaduzzaman, Iqbal H. Sarker

Year: 2019Citations: 159

Diabetes mellitus is a common disease of human body caused by a group of metabolic disorders where the sugar levels over a prolonged period is very high. It affects different organs of the human body which thus harm a large number of the body's system, in particular the blood veins and nerves. Early...

Health SciencesHealth ProfessionsHealth Information Management
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Smart City Data Science: Towards data-driven smart cities with open research issues

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Iqbal H. Sarker

Journal: Internet of ThingsYear: 2022Citations: 156
Social SciencesTransportationHuman Mobility and Location-Based Analysis
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Transfer learning with fine-tuned deep CNN ResNet50 model for classifying COVID-19 from chest X-ray images

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Md. Belal Hossain, Shahriar Iqbal, Md. Monirul Islam, Md. Nasim Akhtar et al.

Journal: Informatics in Medicine UnlockedYear: 2022Citations: 153

COVID-19 cases are putting pressure on healthcare systems all around the world. Due to the lack of available testing kits, it is impractical for screening every patient with a respiratory ailment using traditional methods (RT-PCR). In addition, the tests have a high turn-around time and low sensitiv...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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AquaVision: Automating the detection of waste in water bodies using deep transfer learning

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Harsh Panwar, P. K. Gupta, Mohammad Khubeb Siddiqui, Rubén Morales-Menéndez et al.

Journal: Case Studies in Chemical and Environmental EngineeringYear: 2020Citations: 153

Water pollution is one of the serious threats in the society. More than 8 million tons of plastic are dumped in the oceans each year. In addition to that beaches are littered by tourists and residents all around the world. It is no secret that the aquatic life ecosystem is at a risk and soon the rat...

Physical SciencesEnvironmental ScienceWater Science and TechnologyOpen Access
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CyberLearning: Effectiveness analysis of machine learning security modeling to detect cyber-anomalies and multi-attacks

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Iqbal H. Sarker

Journal: Internet of ThingsYear: 2021Citations: 128

Detecting cyber-anomalies and attacks are becoming a rising concern these days in the domain of cybersecurity. The knowledge of artificial intelligence, particularly, the machine learning techniques can be used to tackle these issues. However, the effectiveness of a learning-based security model may...

Physical SciencesComputer ScienceComputer Networks and Communications
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Randomized, Placebo-Controlled, Clinical Trial of Hyperimmunized Chicken Egg Yolk Immunoglobulin in Children With Rotavirus Diarrhea

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Shafiqul Alam Sarker, Thomas Casswall, Lekh Raj Juneja, Enamul Hoq et al.

Journal: Journal of Pediatric Gastroenterology and NutritionYear: 2001Citations: 127

BACKGROUND: Hyperimmunized bovine colostrum containing antibodies has been shown to be effective in the treatment of rotavirus diarrhea. Antibodies derived from eggs of immunized hens may be a less expensive and more practical alternative. In this study, children with proven rotavirus diarrhea were ...

Health SciencesMedicineInfectious Diseases
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BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model

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Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan et al.

Journal: Mobile Networks and ApplicationsYear: 2019Citations: 125

This paper formulates the problem of building a context-aware predictive model based on user diverse behavioral activities with smartphones. In the area of machine learning and data science, a tree-like model as that of decision tree is considered as one of the most popular classification techniques...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A machine learning based robust prediction model for real-life mobile phone data

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Iqbal H. Sarker

Journal: Internet of ThingsYear: 2019Citations: 123

Real-life mobile phone data may contain noisy instances, which is a fundamental issue for building a prediction model with many potential negative consequences. The complexity of the inferred model may increase, may arise over-fitting problem, and thereby the overall prediction accuracy of the model...

Physical SciencesComputer ScienceArtificial Intelligence
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Bioactive Components and Radical Scavenging Activity in Selected Advance Lines of Salt-Tolerant Vegetable Amaranth

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Umakanta Sarker, Md. Nazmul Hossain, Md. Asif Iqbal, Shinya Oba

Journal: Frontiers in NutritionYear: 2020Citations: 118

Four selected advance lines of salt-tolerant vegetable amaranth were evaluated for proximate, nutraceuticals, pigments, phytochemicals, and antioxidants components antioxidants activity in completely randomized block design (RCBD) design in three replicates. Salt-tolerant vegetable amaranth containe...

Life SciencesAgricultural and Biological SciencesFood ScienceOpen Access
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Context-aware rule learning from smartphone data: survey, challenges and future directions

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Iqbal H. Sarker

Journal: Journal Of Big DataYear: 2019Citations: 117

Abstract Smartphones are considered as one of the most essential and highly personal devices of individuals in our current world. Due to the popularity of context-aware technology and recent developments in smartphones, these devices can collect and process raw contextual data about users’ surroundi...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Modeling Hybrid Feature-Based Phishing Websites Detection Using Machine Learning Techniques

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Sumitra Das Guptta, Khandaker Tayef Shahriar, Hamed Alqahtani, Dheyaaldin Alsalman et al.

Journal: Annals of Data ScienceYear: 2022Citations: 107

In this paper, we mainly present a machine learning based approach to detect real-time phishing websites by taking into account URL and hyperlink based hybrid features to achieve high accuracy without relying on any third-party systems. In phishing, the attackers typically try to deceive internet us...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic

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Muhammad Nazrul Islam, Toki Tahmid Inan, S. Rafi, Syeda Sabrina Akter et al.

Journal: IEEE Transactions on Artificial IntelligenceYear: 2020Citations: 97

Artificial intelligence (AI) and machine learning (ML) have caused a paradigm shift in healthcare that can be used for decision support and forecasting by exploring medical data. Recent studies have shown that AI and ML can be used to fight COVID-19. The objective of this article is to summarize the...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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