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16+ results
Field: Artificial intelligence

Machine Learning: Algorithms, Real-World Applications and Research Directions

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Iqbal H. Sarker

Journal: SN Computer ScienceYear: 2021
Citations: 5075

In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corre...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

Verified

Iqbal H. Sarker

Journal: SN Computer ScienceYear: 2021Citations: 2420

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),...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

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Nabil Ibtehaz, M. Sohel Rahman

Journal: Neural NetworksYear: 2019Citations: 2251

In recent years Deep Learning has brought about a breakthrough in Medical Image Segmentation. In this regard, U-Net has been the most popular architecture in the medical imaging community. Despite outstanding overall performance in segmenting multimodal medical images, through extensive experimentat...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study

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Umme Sara, Morium Akter, Mohammad Shorif Uddin

Journal: Journal of Computer and CommunicationsYear: 2019Citations: 1600

Quality is a very important parameter for all objects and their functionalities. In image-based object recognition, image quality is a prime criterion. For authentic image quality evaluation, ground truth is required. But in practice, it is very difficult to find the ground truth. Usually, image qua...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

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Razin Ahmed, Victor Sreeram, Yateendra Mishra, Muammer Din Arif

Journal: Renewable and Sustainable Energy ReviewsYear: 2020Citations: 1161

Integration of photovoltaics into power grids is difficult as solar energy is highly dependent on climate and geography; often fluctuating erratically. This causes penetrations and voltage surges, system instability, inefficient utilities planning and financial loss. Forecast models can help; howeve...

Physical SciencesComputer ScienceArtificial Intelligence
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MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning

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Sukarna Barua, Md. Monirul Islam, Xin Yao, Kazuyuki Murase

Journal: IEEE Transactions on Knowledge and Data EngineeringYear: 2012Citations: 1141

Imbalanced learning problems contain an unequal distribution of data samples among different classes and pose a challenge to any classifier as it becomes hard to learn the minority class samples. Synthetic oversampling methods address this problem by generating the synthetic minority class samples t...

Physical SciencesComputer ScienceArtificial Intelligence
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AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems

Verified

Iqbal H. Sarker

Journal: SN Computer ScienceYear: 2022Citations: 1064

Abstract Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and intelligence into machines or systems. Thus, AI-based modeling is the key to build automated, intelligen...

Physical SciencesEngineeringBuilding and ConstructionOpen Access
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Mycobacterium tuberculosis complex genetic diversity: mining the fourth international spoligotyping database (SpolDB4) for classification, population genetics and epidemiology

Verified

Karine Brudey, Jeffrey Driscoll, Leen Rigouts, Wolfgang M. Prodinger et al.

Journal: BMC MicrobiologyYear: 2006Citations: 1035

BACKGROUND: The Direct Repeat locus of the Mycobacterium tuberculosis complex (MTC) is a member of the CRISPR (Clustered regularly interspaced short palindromic repeats) sequences family. Spoligotyping is the widely used PCR-based reverse-hybridization blotting technique that assays the genetic dive...

Health SciencesMedicineInfectious DiseasesOpen Access
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Review of energy storage systems for electric vehicle applications: Issues and challenges

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M. A. Hannan, Md Murshadul Hoque, Ahmed Mohamed, Afida Ayob

Journal: Renewable and Sustainable Energy ReviewsYear: 2016Citations: 1010
Physical SciencesEngineeringAutomotive Engineering
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The default mode network in cognition: a topographical perspective

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Jonathan Smallwood, Boris C. Bernhardt, Robert Leech, Danilo Bzdok et al.

Journal: Nature reviews. NeuroscienceYear: 2021Citations: 953

The default mode network (DMN) is a set of widely distributed brain regions in the parietal, temporal and frontal cortex. These regions often show reductions in activity during attention-demanding tasks but increase their activity across multiple forms of complex cognition, many of which are linked ...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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Deep learning modelling techniques: current progress, applications, advantages, and challenges

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Shams Forruque Ahmed, Md. Sakib Bin Alam, Maruf Hassan, Mahtabin Rodela Rozbu et al.

Journal: Artificial Intelligence ReviewYear: 2023Citations: 938

Abstract Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can be applied across various sectors. Specifically, it possesses the ability to utilize two or more levels of non-linear feature transformation of the given data via representation learning in order to ove...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Recent developments in physical, biological, chemical, and hybrid treatment techniques for removing emerging contaminants from wastewater

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Shams Forruque Ahmed, M. Mofijur, Samiha Nuzhat, Anika Tasnim Chowdhury et al.

Journal: Journal of Hazardous MaterialsYear: 2021Citations: 905

Emerging contaminants (ECs) in wastewater have recently attracted the attention of researchers as they pose significant risks to human health and wildlife. This paper presents the state-of-art technologies used to remove ECs from wastewater through a comprehensive review. It also highlights the chal...

Physical SciencesEnvironmental ScienceWater Science and Technology
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ChatGPT for Education and Research: Opportunities, Threats, and Strategies

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Md. Mostafizer Rahman, Yutaka Watanobe

Journal: Applied SciencesYear: 2023Citations: 898

In recent years, the rise of advanced artificial intelligence technologies has had a profound impact on many fields, including education and research. One such technology is ChatGPT, a powerful large language model developed by OpenAI. This technology offers exciting opportunities for students and e...

Health SciencesMedicineHealth InformaticsOpen Access
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Applications of Deep Learning and Reinforcement Learning to Biological Data

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Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli

Journal: IEEE Transactions on Neural Networks and Learning SystemsYear: 2018Citations: 870

Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body)-machine interfaces. These have generated novel opportuniti...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches

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Md. Mahmudul Hasan, Md. Milon Islam, Md Ishrak Islam Zarif, M. M. A. Hashem

Journal: Internet of ThingsYear: 2019Citations: 827

Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Mali...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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