Publications by authors named "Ikram Syed"

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A comprehensive voice dataset for Hindko digit recognition.
Tanveer Ahmed, Maqbool Khan, Khalil Khan, Ikram Syed, Syed Sajid Ullah

Data Brief· February 2025

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Accurately assessing congenital heart disease using artificial intelligence.
Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

PeerJ Comput Sci· November 2024

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Trajectory optimization and obstacle avoidance of autonomous robot using Robust and Efficient Rapidly Exploring Random Tree.
Naeem Ul Islam, Kaynat Gul, Faiz Faizullah, Syed Sajid Ullah, Ikram Syed

PLoS One· October 2024

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Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages.
Imran Ullah, Khalil Ullah, Hamad Khan, Khursheed Aurangzeb, Muhammad Shahid Anwar, Ikram Syed

PeerJ Comput Sci· August 2024

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Pashto script and graphics detection in camera captured Pashto document images using deep learning model.
Khan Bahadar, Riaz Ahmad, Khursheed Aurangzeb, Siraj Muhammad, Khalil Ullah, Ikram Syed

PeerJ Comput Sci· July 2024

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Deep learning-based recognition system for pashto handwritten text: benchmark on PHTI.
Ibrar Hussain, Riaz Ahmad, Khalil Ullah, Siraj Muhammad, Rasha Elhassan, Ikram Syed

PeerJ Comput Sci· March 2024

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ChestCovidNet: An Effective DL-based Approach for COVID-19, Lung Opacity, and Pneumonia Detection Using Chest Radiographs Images.
Naeem Ullah, Javed Ali Khan, Sultan Almakdi, Mohammed S Alshehri, Mimonah Al Qathrady, Ikram Syed

Biochem Cell Biol· February 2024

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A deep learning-based model for plant lesion segmentation, subtype identification, and survival probability estimation.
Muhammad Shoaib, Babar Shah, Tariq Hussain, Akhtar Ali, Asad Ullah, Ikram Syed

Front Plant Sci· December 2022

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A Gait-Based Real-Time Gender Classification System Using Whole Body Joints.
Muhammad Azhar, Sehat Ullah, Khalil Ullah, Ikram Syed, Jaehyuk Choi

Sensors (Basel)· November 2022

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An effective deep learning approach for the classification of Bacteriosis in peach leave.
Muneer Akbar, Mohib Ullah, Babar Shah, Rafi Ullah Khan, Tariq Hussain, Ikram Syed

Front Plant Sci· November 2022

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A Multi-Task Framework for Facial Attributes Classification through End-to-End Face Parsing and Deep Convolutional Neural Networks.
Khalil Khan, Muhammad Attique, Rehan Ullah Khan, Ikram Syed, Tae-Sun Chung

Sensors (Basel)· January 2020

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A Unified Framework for Head Pose, Age and Gender Classification through End-to-End Face Segmentation.
Khalil Khan, Muhammad Attique, Ikram Syed, Ghulam Sarwar, Muhammad Abeer Irfan

Entropy (Basel)· June 2019

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