Search Results - "Naz, Saeeda"

A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning by Rehman, Arshia, Naz, Saeeda, Razzak, Muhammad Imran, Akram, Faiza, Imran, Muhammad

“…Brain tumors are the most destructive disease, leading to a very short life expectancy in their highest grade. The misdiagnosis of brain tumors will result in…”
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Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities by Rehman, Arshia, Naz, Saeeda, Razzak, Imran

“…Clinical decisions are more promising and evidence-based, hence, big data analytics to assist clinical decision-making has been expressed for a variety of…”
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Transfer learning using freeze features for Alzheimer neurological disorder detection using ADNI dataset by Naz, Saeeda, Ashraf, Abida, Zaib, Ahmad

“…Machine learning and deep learning play a crucial role in identification of various diseases like neurological, skin, eyes, blood and cancers. The deep…”
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Refining Parkinson’s neurological disorder identification through deep transfer learning by Naseer Amina, Monail, Rani, Naz Saeeda, Razzak, Muhammad Imran, Imran, Muhammad, Xu Guandong

“…Parkinson’s disease (PD), a multi-system neurodegenerative disorder which affects the brain slowly, is characterized by symptoms such as muscle stiffness,…”
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Deep transfer learning for alzheimer neurological disorder detection by Ashraf, Abida, Naz, Saeeda, Shirazi, Syed Hamad, Razzak, Imran, Parsad, Mukesh

“…Alzheimer’s disease is becoming common in the world with the time. It is an irreversible and progressive brain disorder that slowly destroys the memory and…”
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Automatic Visual Features for Writer Identification: A Deep Learning Approach by Rehman, Arshia, Naz, Saeeda, Razzak, Muhammad Imran, Hameed, Ibrahim A.

“…Identification of a person from his writing is one of the challenging problems; however, it is not new. No one can repudiate its applications in a number of…”
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Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities by Bibi, Kiran, Naz, Saeeda, Rehman, Arshia

“…Biometric systems are playing a key role in the multitude of applications and placed at the center of debate in the scientific research community. Among the…”
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Multi-Model Fusion of CNNs for Identification of Parkinson's Disease Using Handwritten Samples by Naz, Saeeda, Kamran, Iqra, Gul, Sarah, Hadi, Fazle, Khalifa, Fahmi

“…When approximately seventy percent of dopamine-producing nerve cells cease to function normally, the symptoms of Parkinson's disease (PD) manifest, marking an…”
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A Deep Learning Approach for Diabetic Foot Ulcer Classification and Recognition by Ahsan, Mehnoor, Naz, Saeeda, Ahmad, Riaz, Ehsan, Haleema, Sikandar, Aisha

“…Diabetic foot ulcer (DFU) is one of the major complications of diabetes and results in the amputation of lower limb if not treated timely and properly. Despite…”
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Robust Optical Recognition of Cursive Pashto Script Using Scale, Rotation and Location Invariant Approach by Ahmad, Riaz, Naz, Saeeda, Afzal, Muhammad Zeshan, Amin, Sayed Hassan, Breuel, Thomas

“…The presence of a large number of unique shapes called ligatures in cursive languages, along with variations due to scaling, orientation and location provides…”
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A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions by Ahmed, Saad Bin, Naz, Saeeda, Razzak, Muhammad Imran, Yusof, Rubiyah Bte

“…The recognition of text in natural scene images is a practical yet challenging task due to the large variations in backgrounds, textures, fonts, and…”
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Arabic Cursive Text Recognition from Natural Scene Images by Ahmed, Saad, Naz, Saeeda, Razzak, Muhammad, Yusof, Rubiyah

“…This paper presents a comprehensive survey on Arabic cursive scene text recognition. The recent years’ publications in this field have witnessed the interest…”
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Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience by Ahmed, Saad Bin, Hameed, Ibrahim A., Naz, Saeeda, Razzak, Muhammad Imran, Yusof, Rubiyah

“…The similar nature of patterns may enhance the learning if the experience they attained during training is utilized to achieve maximum accuracy. This paper…”
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Curvelet based offline analysis of SEM images by Shirazi, Syed Hamad, Haq, Nuhman ul, Hayat, Khizar, Naz, Saeeda, Haque, Ihsan ul

“…Manual offline analysis, of a scanning electron microscopy (SEM) image, is a time consuming process and requires continuous human intervention and efforts…”
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Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR by SAEEDA NAZ, ARIF IQBAL UMAR, MUHAMMAD IMRAN RAZZAK

“…Arabic script character recognition is challenging task due to complexity of the script and huge number of ligatures. We present a method for the development…”
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A Hybrid Approach for NER System for Scarce Resourced Language-URDU: Integrating n-gram with Rules and Gazetteers by SAEEDA NAZ, ARIF IQBAL UMAR, MUHAMMAD IMRAN RAZZAK

“…We present a hybrid NER (Name Entity Recognition) system for Urdu script by integration of n-gram model (unigram and bigram), rules and gazetteers. We used…”
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Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification by Razzak, Imran, Naz, Saeeda

“…Many modern neural network architectures with over parameterized regime have been used for identification of skin cancer. Recent work showed that network,…”
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Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms by Ahmad, Riaz, Naz, Saeeda, Razzak, Imran

“…•Novel simple and robust skew detection method for scanned documents.•Probabilistic Hough Transformation for line detection followed by on bases of…”
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Handwriting dynamics assessment using deep neural network for early identification of Parkinson’s disease by Kamran, Iqra, Naz, Saeeda, Razzak, Imran, Imran, Muhammad

“…The etiology of Parkinson’s disease (PD) remains unclear. Symptoms usually appear after approximately 70% of dopamine-producing cells have stopped working…”
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Writer identification using machine learning approaches: a comprehensive review by Rehman, Arshia, Naz, Saeeda, Razzak, Muhammad Imran

“…Handwriting is one of the most common types of questioned writing encountered and frequently attracts the attention in litigation. Contrary to the…”
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