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Liyakathunisa Syed

Liyakathunsia Syed – Liyakathunisa

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affiliation: Taibah University, Madinah, Saudi Arabia
affiliation (former): Prince Sultan University, Riyadh, Saudi Arabia

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Journal Articles

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2024
[j8]
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Fahdah A. Almarshad, Prasanalakshmi Balaji, Liyakathunisa Syed, Eman Aljohani, Santhi Muttipoll Dharmarajlu, Thavavel Vaiyapuri, Nourah Ali AlAseem:
An Efficient Optimal CapsNet Model-Based Computer-Aided Diagnosis for Gastrointestinal Cancer Classification. IEEE Access 12: 137237-137246 (2024)
[j7]
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Liyakathunisa Syed, P. Sathyaprakash, A. Shobanadevi, Ha Huy Cuong Nguyen, Mohammad Alauthman, M. Vedaraj, R. Premalatha:
Deep learning-based route reconfigurability for intelligent vehicle networks to improve power-constrained using energy-efficient geographic routing protocol. Wirel. Networks 30(2): 939-960 (2024)
2023
[j6]
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  - journals/array/SyedAAA23
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Liyakathunisa Syed, Abdullah Alsaeedi, Lina A. Alhuri, Hutaf R. Aljohani:
Hybrid weakly supervised learning with deep learning technique for detection of fake news from cyber propaganda. Array 19: 100309 (2023)
[j5]
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K. Karthikeyan, Liyakathunisa, Eman Aljohani, Thavavel Vaiyapuri:
Improved Metaheuristic Based Failure Prediction with Migration Optimization in Cloud Environment. Comput. Syst. Sci. Eng. 45(2): 1641-1654 (2023)
2022
[j4]
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Thavavel Vaiyapuri, Haya Alaskar, Liyakathunisa Syed, Eman Aljohani, Ahmed Alkhayyat, K. Shankar, Sachin Kumar:
Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification. Comput. Electr. Eng. 103: 108292 (2022)
[j3]
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Liyakathunisa, Abdullah Alsaeedi, Saima Jabeen, Hoshang Kolivand:
Ambient assisted living framework for elderly care using Internet of medical things, smart sensors, and GRU deep learning techniques. J. Ambient Intell. Smart Environ. 14(1): 5-23 (2022)
2019
[j2]
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  - journals/fgcs/SyedJSA19
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Liyakathunisa Syed, Saima Jabeen, Manimala S., Abdullah Alsaeedi:
Smart healthcare framework for ambient assisted living using IoMT and big data analytics techniques. Future Gener. Comput. Syst. 101: 136-151 (2019)
2017
[j1]
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Hoda Ahmed Galal Elsayed, Mariam Ahmed Galal, Liyakathunisa Syed:
HeartCare+: A Smart Heart Care Mobile Application for Framingham-Based Early Risk Prediction of Hard Coronary Heart Diseases in Middle East. Mob. Inf. Syst. 2017: 9369532:1-9369532:11 (2017)

Conference and Workshop Papers

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2024
[c18]
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Liyakathunisa, Zoya Riyaz Syeda, Riyaz Sohale Syed:
Cyber Attack Detection for Internet of Health Things through Federated Deep Learning Technique. ACSAC Workshops 2024: 194-200
[c17]
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  - conf/dese/AlharbiTAS24
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Nada Theyab Alharbi, Samah Ahmed Taha, Bashayr Rakan Alsarrani, Liyakathunisa Syed:
Deep Learning Approach for Classifying Date Fruits Using YOLO: A Comparative Analysis. DeSE 2024: 503-508
[c16]
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  - conf/dese/AlruwaythiAAS24
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Reem Sulaiman Alruwaythi, Thekra Abdulaziz Alruwaili, Ruod Mohammed Alsehli, Liyakathunisa Syed:
Enhancing Pedestrian Pose Detection through YOLO Deep Learning Techniques. DeSE 2024: 509-514
[c15]
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Liyakathunisa Syed, Salma Mislim Alradadi, Amani Fahad Alofi, Nada Theyab Alharbi:
Classification of Date Fruits into Genetic Varieties Using Image Analysis. DeSE 2024: 515-520
2023
[c14]
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Liyakathunisa Syed:
Smart Agriculture using Ensemble Machine Learning Techniques in IoT Environment. ICMLDE 2023: 2269-2278
2021
[c13]
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  - conf/africom/AlharbiAAS21
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Najla Hamandi Alharbi, Zainab S. Alharthi, Nuha A. Alanezi, Liyakathunisa Syed:
Spatial Analysis of COVID 19 in KSA Related to Air Pollution Factor. AFRICOMM 2021: 443-457
[c12]
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  - conf/healthyIoT/AbdulghaniAAS21
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Raghad Abdulghani, Ghaida Albakri, Rawan Alraddadi, Liyakathunisa Syed:
Detection of Diabetic Retinopathy Using CNN. HealthyIoT 2021: 88-98
[c11]
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Amal Selmi, Liyakathunisa Syed, Bashaer Abdulkareem:
Pulp Stone Detection Using Deep Learning Techniques. HealthyIoT 2021: 113-124
[c10]
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  - conf/healthyIoT/AlrehilyAAS21
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Enas Saleem Alrehily, Rawan Fahad Alhejaili, Dalal Rasheed Albeladi, Liyakathunisa Syed:
Identification of Drug-Drug Interactions Using OCR. HealthyIoT 2021: 125-135
[c9]
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Najlaa Alsaedi, Hanan Alahmadi, Liyakathunisa Syed:
Deep Learning Technique for Dessert Plant Classification and Recognition. MLICOM 2021: 182-194
2020
[c8]
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  - conf/dese/AlmobarakAAS20
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Arwa S. Almobarak, Hanan R. Almohammadi, Sara A. Aboalnaser, Liyakathunisa Syed:
Spatio-Temporal Analysis of the Spread COVID-19 in Saudi Arabia. DeSE 2020: 341-346
2019
[c7]
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  - conf/dese/AlsaediAS19
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Najlaa Alsaedi, Hanan Alahmadi, Liyakathunisa Syed:
Desert Plants Recognition by Bark Texture. DeSE 2019: 123-127
[c6]
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Arwa S. Almobarak, Hanan R. Almohammadi, Sara A. Aboalnaser, Liyakathunisa Syed:
Classification of Aesthetic Photographic Images Using SVM and KNN Classifiers. DeSE 2019: 170-175
[c5]
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Arwa S. Almobarak, Hanan R. Almohammadi, Sara A. Aboalnaser, Liyakathunisa Syed:
Spatial and Temporal Analyses of the Spread of Zika Virus Worldwide. DeSE 2019: 296-300
[c4]
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  - conf/dese/AlrihailiAAS19
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Ahlam Alrihaili, Alaa Saleh Alsaedi, Kholood Albalawi, Liyakathunisa Syed:
Music Recommender System for Users Based on Emotion Detection through Facial Features. DeSE 2019: 1014-1019
2017
[c3]
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Hoda Ahmed Galal Elsayed, Liyakathunisa Syed:
An automatic early risk classification of hard coronary heart diseases using framingham scoring model. ICC 2017: 141:1-141:8
[c2]
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Abeer Nafel Alharbi, Hessah Alnamlah, Liyakathunsia Syed:
Using opinion mining techniques on Twitter streaming data regards drug safety issues. ICC 2017: 143:1-143:5
[c1]
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  - conf/iotdcc/AlThunayanAS17
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Lujain AlThunayan, Nahed AlSahdi, Liyakathunisa Syed:
Comparative analysis of different classification algorithms for prediction of diabetes disease. ICC 2017: 144:1-144:6

Informal and Other Publications

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2011
[i1]
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  - journals/corr/abs-1102-5688
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Liyakathunisa, C. N. Ravi Kumar:
A novel super resolution reconstruction of low reoslution images progressively using dct and zonal filter based denoising. CoRR abs/1102.5688 (2011)

Coauthor Index

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