Search Results - "Alsadoon, Abeer"

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  1. 1

    Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review by Do, Hai Ha, Prasad, PWC, Maag, Angelika, Alsadoon, Abeer

    Published in Expert systems with applications (15-03-2019)
    “…•Over 40 models for aspect-based sentiment analysis are summarized and classified.•Deep learning methods use fewer parameters but achieved comparative…”
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    Journal Article
  2. 2

    A systematic review: machine learning based recommendation systems for e-learning by Khanal, Shristi Shakya, Prasad, P.W.C., Alsadoon, Abeer, Maag, Angelika

    Published in Education and information technologies (01-07-2020)
    “…The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools…”
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    Journal Article
  3. 3

    Network slicing: a next generation 5G perspective by Subedi, Prashant, Alsadoon, Abeer, Prasad, P. W. C., Rehman, Sabih, Giweli, Nabil, Imran, Muhammad, Arif, Samrah

    “…Fifth-generation (5G) wireless networks are projected to bring a major transformation to the current fourth-generation network to support the billions of…”
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  4. 4

    Deep learning neural network for texture feature extraction in oral cancer: enhanced loss function by Bhandari, Bishal, Alsadoon, Abeer, Prasad, P. W. C., Abdullah, Salma, Haddad, Sami

    Published in Multimedia tools and applications (01-10-2020)
    “…The use of a binary classifier like the sigmoid function and loss functions reduces the accuracy of deep learning algorithms. This research aims to increase…”
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  5. 5

    Reinforcement Learning for Delay Tolerance and Energy Saving in Mobile Wireless Sensor Networks by Al-Jerew, Oday, Bassam, Nizar Al, Alsadoon, Abeer

    Published in IEEE access (2023)
    “…Reinforcement Learning (RL) has emerged as a promising approach for improving the performance of Wireless Sensor Networks (WSNs). The Q-learning technique is…”
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  6. 6

    A survey on dragonfly algorithm and its applications in engineering by Rahman, Chnoor M., Rashid, Tarik A., Alsadoon, Abeer, Bacanin, Nebojsa, Fattah, Polla, Mirjalili, Seyedali

    Published in Evolutionary intelligence (01-02-2023)
    “…The dragonfly algorithm was developed in 2016. It is one of the algorithms used by researchers to optimize an extensive series of uses and applications in…”
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  7. 7

    Deep convolutional network for breast cancer classification: enhanced loss function (ELF) by Acharya, Smarika, Alsadoon, Abeer, Prasad, P. W. C., Abdullah, Salma, Deva, Anand

    Published in The Journal of supercomputing (01-11-2020)
    “…The accurate classification of the histopathological images of breast cancer diagnosis may face a huge challenge due to the complexity of the pathologist…”
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  8. 8

    Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review by Maaroof, Bestan B., Rashid, Tarik A., Abdulla, Jaza M., Hassan, Bryar A., Alsadoon, Abeer, Mohammadi, Mokhtar, Khishe, Mohammad, Mirjalili, Seyedali

    “…Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread algorithms. It was developed by Eusuff and Lansey in 2006. SFLA is a population-based…”
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  9. 9

    A novel solution of using deep learning for early prediction cardiac arrest in Sepsis patient: enhanced bidirectional long short-term memory (LSTM) by Baral, Samit, Alsadoon, Abeer, Prasad, P. W. C., Al Aloussi, Sarmad, Alsadoon, Omar Hisham

    Published in Multimedia tools and applications (01-09-2021)
    “…Cardiac arrest is a common issue in Intensive Care Units (ICU) with low survival rate. Deep learning algorithms have been used to predict cardiac arrest…”
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  10. 10

    Generative adversarial network (GAN) and enhanced root mean square error (ERMSE): deep learning for stock price movement prediction by Kumar, Ashish, Alsadoon, Abeer, Prasad, P. W. C., Abdullah, Salma, Rashid, Tarik A., Pham, Duong Thu Hang, Nguyen, Tran Quoc Vinh

    Published in Multimedia tools and applications (2022)
    “…The prediction of stock price movement direction is significant in financial circles and academic. Stock price contains complex, incomplete, and fuzzy…”
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    Journal Article
  11. 11

    Supervised machine learning for early predicting the sepsis patient: modified mean imputation and modified chi-square feature selection by Shrestha, Ujjwol, Alsadoon, Abeer, Prasad, P. W. C., Al Aloussi, Sarmad, Alsadoon, Omar Hisham

    Published in Multimedia tools and applications (01-05-2021)
    “…Sepsis is a typical and significant emergency in medical clinics comprehensively. A creative and possible instrument for identifying sepsis stays elusive…”
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  12. 12

    Deep learning for vision‐based fall detection system: Enhanced optical dynamic flow by Chhetri, Sagar, Alsadoon, Abeer, Al‐Dala'in, Thair, Prasad, P. W. C., Rashid, Tarik A., Maag, Angelika

    Published in Computational intelligence (01-02-2021)
    “…Accurate fall detection for the assistance of older people is crucial to reduce incidents of deaths or injuries due to falls. Meanwhile, vision‐based fall…”
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  13. 13

    Deep learning for sleep stages classification: modified rectified linear unit activation function and modified orthogonal weight initialisation by Bhusal, Akriti, Alsadoon, Abeer, Prasad, P. W. C., Alsalami, Nada, Rashid, Tarik A.

    Published in Multimedia tools and applications (01-03-2022)
    “…Each stage of sleep can affect human health, and not getting enough sleep at any stage may lead to sleep disorder like parasomnia, apnea, insomnia, etc…”
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  14. 14

    DPV: a taxonomy for utilizing deep learning as a prediction technique for various types of cancers detection by Shah, Bhagyashree, Alsadoon, Abeer, Prasad, P.W.C., Al-Naymat, Ghazi, Beg, Azam

    Published in Multimedia tools and applications (01-06-2021)
    “…Deep learning (DL) is a type of machine learning capable of processing large quantities of data to provide analytic results based on a particular framework’s…”
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  15. 15

    Augmented reality for dental implant surgery: enhanced ICP by Shrestha, Laghumee, Alsadoon, Abeer, Prasad, P. W. C., AlSallami, Nada, Haddad, Sami

    Published in The Journal of supercomputing (01-02-2021)
    “…Augmented reality surgery has not been successfully implemented in dental implant surgery due to the negative impact of an incorrect implant placement. This…”
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  16. 16

    A novel solution of using deep learning for prostate cancer segmentation: enhanced batch normalization by Shrestha, Sushma, Alsadoon, Abeer, Prasad, P. W. C., Seher, Indra, Alsadoon, Omar Hisham

    Published in Multimedia tools and applications (01-06-2021)
    “…Deep learning has not been successfully implemented in the past with accurate segmentation of prostate on Magnetic Resonance (MR) image in nerve sparing…”
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  17. 17

    Deep learning for liver tumour classification: enhanced loss function by Randhawa, Simranjeet, Alsadoon, Abeer, Prasad, P.W.C., Al-Dala’in, Thair, Dawoud, Ahmed, Alrubaie, Ahmad

    Published in Multimedia tools and applications (2021)
    “…Background and Aim: deep learning has not been successfully implemented in liver tumour feature extraction and classification using computer-aided diagnosis…”
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  18. 18

    A novel enhanced region proposal network and modified loss function: threat object detection in secure screening using deep learning by Steno, Priscilla, Alsadoon, Abeer, Prasad, P. W. C., Al-Dala’in, Thair, Alsadoon, Omar Hisham

    Published in The Journal of supercomputing (01-04-2021)
    “…Detection of threat objects concealed in passenger clothing and baggage poses a challenge to aviation security. At present, the detection technology is capable…”
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  19. 19

    Mixed reality using illumination-aware gradient mixing in surgical telepresence: enhanced multi-layer visualization by Puri, Nirakar, Alsadoon, Abeer, Prasad, P. W. C., Alsalami, Nada, Rashid, Tarik A.

    Published in Multimedia tools and applications (2022)
    “…Surgical telepresence using augmented perception has been applied, but mixed reality is still being researched and is only theoretical. The aim of this work is…”
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  20. 20

    Deep learning neural networks for emotion classification from text: enhanced leaky rectified linear unit activation and weighted loss by Yang, Hui, Alsadoon, Abeer, Prasad, P. W. C., Al-Dala’in, Thair, Rashid, Tarik A., Maag, Angelika, Alsadoon, Omar Hisham

    Published in Multimedia tools and applications (01-05-2022)
    “…Accurate emotion classification for online reviews is vital for business organizations to gain deeper insights into markets. Although deep learning has been…”
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    Journal Article