Search Results - "Bilal, Anas"

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  1. 1

    AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning by Bilal, Anas, Zhu, Liucun, Deng, Anan, Lu, Huihui, Wu, Ning

    Published in Symmetry (Basel) (01-07-2022)
    “…Artificial intelligence is widely applied to automate Diabetic retinopathy diagnosis. Diabetes-related retinal vascular disease is one of the world’s most…”
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    Journal Article
  2. 2

    iDNA-ITLM: An interpretable and transferable learning model for identifying DNA methylation by Yu, Xia, Yani, Cui, Wang, Zhichao, Long, Haixia, Zeng, Rao, Liu, Xiling, Anas, Bilal, Ren, Jia

    Published in PloS one (31-10-2024)
    “…In this study, from the perspective of image processing, we propose the iDNA-ITLM model, using a novel data enhance strategy by continuously self-replicating a…”
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    Journal Article
  3. 3

    Understanding the usability issues in contact management of illiterate and semi-literate users by Hayat, Shamaila, Rextin, Aimal, Bilal, Anas

    Published in PloS one (02-12-2021)
    “…The effective utilization of a communication channel like calling a person involves two steps. The first step is storing the contact information of another…”
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    Journal Article
  4. 4

    IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3 by Bilal, Anas, Shafiq, Muhammad, Fang, Fang, Waqar, Muhammad, Ullah, Inam, Ghadi, Yazeed Yasin, Long, Haixia, Zeng, Rao

    Published in Sensors (Basel, Switzerland) (01-12-2022)
    “…Artificial intelligence plays an essential role in diagnosing lung cancer. Lung cancer is notoriously difficult to diagnose until it has progressed to a late…”
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  5. 5

    Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification by Bilal, Anas, Imran, Azhar, Baig, Talha Imtiaz, Liu, Xiaowen, Long, Haixia, Alzahrani, Abdulkareem, Shafiq, Muhammad

    Published in PloS one (02-01-2024)
    “…The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major contributor to global vision impairment, is becoming increasingly…”
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    Journal Article
  6. 6

    Diabetic Retinopathy Detection and Classification Using Mixed Models for a Disease Grading Database by Bilal, Anas, Sun, Guangmin, Li, Yu, Mazhar, Sarah, Khan, Abdul Qadir

    Published in IEEE access (2021)
    “…Diabetic retinopathy (DR) is a primary cause of blindness in which damage occurs to the retina due to an accretion of sugar levels in the blood. Therefore,…”
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  7. 7

    Advanced CKD detection through optimized metaheuristic modeling in healthcare informatics by Bilal, Anas, Alzahrani, Abdulkareem, Almuhaimeed, Abdullah, Khan, Ali Haider, Ahmad, Zohaib, Long, Haixia

    Published in Scientific reports (01-06-2024)
    “…Data categorization is a top concern in medical data to predict and detect illnesses; thus, it is applied in modern healthcare informatics. In modern…”
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  8. 8

    A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification by Khan, Abdul Qadir, Sun, Guangmin, Khalid, Majdi, Imran, Azhar, Bilal, Anas, Azam, Muhammad, Sarwar, Raheem

    Published in PloS one (20-05-2024)
    “…In response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant…”
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    Journal Article
  9. 9

    Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization by Bilal, Anas, Imran, Azhar, Baig, Talha Imtiaz, Liu, Xiaowen, Abouel Nasr, Emad, Long, Haixia

    Published in Scientific reports (10-05-2024)
    “…A prompt diagnosis of breast cancer in its earliest phases is necessary for effective treatment. While Computer-Aided Diagnosis systems play a crucial role in…”
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  10. 10

    Hydrothermal synthesis of InTiS3 and Ag2InTiS4 for electrocatalytic water oxidation and photocatalytic dye degradation application by Mirza, Misbah, Iqbal, Arshia, Iqra Tul Ain, Iftikhar, Mehak, Awais, Muhammad, Bilal, Anas, Jabeen, Mehvish, Aslam, Sidra, Safdar, Muhammad

    Published in Journal of materials research (28-03-2024)
    “…The quest for environmentally benign, low cost yet highly efficient alternative energy resources has driven an extensive research on transition metal sulfides…”
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    Journal Article
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  12. 12

    iDNA-OpenPrompt: OpenPrompt learning model for identifying DNA methylation by Yu, Xia, Ren, Jia, Long, Haixia, Zeng, Rao, Zhang, Guoqiang, Bilal, Anas, Cui, Yani

    Published in Frontiers in genetics (16-04-2024)
    “…DNA methylation is a critical epigenetic modification involving the addition of a methyl group to the DNA molecule, playing a key role in regulating gene…”
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    Journal Article
  13. 13

    Using Vehicle Synthesis Generative Adversarial Networks to Improve Vehicle Detection in Remote Sensing Images by Zheng, Kun, Wei, Mengfei, Sun, Guangmin, Anas, Bilal, Li, Yu

    “…Vehicle detection based on very high-resolution (VHR) remote sensing images is beneficial in many fields such as military surveillance, traffic control, and…”
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  14. 14

    RETRACTED ARTICLE: Multiplexing techniques for future fiber optic communications with spatial multiplexing by Shafiq, Muhammad, Quanrun, Fan, Du, Changqing, Bilal, Anas, Syamala, Maganti, Muniyandy, Elangovan

    Published in Optical and quantum electronics (2024)
    “…Multiplexing techniques will be employed based on duration, polarization, and frequency to achieve the expanding demand for broadcast bandwidth. Adding time as…”
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  15. 15

    Prediction of miRNAs and diseases association based on sparse autoencoder and MLP by Sun, Si-Lin, Zhou, Bing-Wei, Liu, Sheng-Zheng, Xiu, Yu-Han, Bilal, Anas, Long, Hai-Xia

    Published in Frontiers in genetics (30-05-2024)
    “…MicroRNAs (miRNAs) are small and non-coding RNA molecules which have multiple important regulatory roles within cells. With the deepening research on miRNAs,…”
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  16. 16

    Implementation and Use of Disease Diagnosis Systems for Electronic Medical Records Based on Machine Learning: A Complete Review by Latif, Jahanzaib, Xiao, Chuangbai, Tu, Shanshan, Rehman, Sadaqat Ur, Imran, Azhar, Bilal, Anas

    Published in IEEE access (01-01-2020)
    “…Electronic health records are used to extract patient's information instantly and remotely, which can help to keep track of patients' due dates for checkups,…”
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  17. 17

    AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data by Mazhar, Sarah, Sun, Guangmin, Bilal, Anas, Hassan, Bilal, Li, Yu, Zhang, Junjie, Lin, Yinyi, Khan, Ali, Ahmed, Ramsha, Hassan, Taimur

    Published in Remote sensing (Basel, Switzerland) (01-07-2022)
    “…Water is a vital component of life that exists in a variety of forms, including oceans, rivers, ponds, streams, and canals. The automated methods for…”
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    Journal Article
  18. 18

    Resource-Limited Skew Estimation and Correction (RLSEC) for Edge Devices in Delay Non-Tolerant Networks by Usman Hashmi, Muhammad, Imran, Azhar, Bilal, Anas, Garayev, Mubariz, Fathi, Hanaa, Dhelim, Sahraoui

    Published in IEEE access (2024)
    “…Time synchronization among edge devices is crucial for ensuring seamless operation in delay-sensitive networks like IoT, smart cities, and industrial…”
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  19. 19

    PDCNET: Deep Convolutional Neural Network for Classification of Periodontal Disease Using Dental Radiographs by Bilal, Anas, Haider Khan, Ali, Almohammadi, Khalid, Al Ghamdi, Sami A., Long, Haixia, Malik, Hassaan

    Published in IEEE access (2024)
    “…Dental health plays a pivotal role in determining the general health and quality of life of a person. Dental caries is a prevalent health problem in the world;…”
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  20. 20

    Analyzing Emergent Users' Text Messages Data and Exploring Its Benefits by Bilal, Anas, Rextin, Aimal, Kakakhel, Ahmad, Nasim, Mehwish

    Published in IEEE access (2019)
    “…While users in the developed world can choose to adopt the technology that suits their needs, the emergent users cannot afford this luxury, and hence, they…”
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