Browsing by Author "Rasheed, Jawad"
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Advancements in Fake News Detection: A Comprehensive Machine Learning Approach Across Varied Datasets
Aslam, Adeel; Abid, Fazeel; Rasheed, Jawad; Shabbir, Anza; Murtaza, Manahil; Alsubai, Shtwai; Elkiran, Harun (Springer, 2024)Fake news has become a major social problem in the current period, controlled by modern technology and the unrestricted flow of information across digital platforms. The deliberate spread of inaccurate or misleading ... -
Automated Biometrical Fingerprint Recognition Scheme using Synthesized Images
Alimovski, Erdal; Rasheed, Jawad (İstanbul Sabahattin Zaim Üniversitesi, 2021)The evolution of digitization has engulfed various methods of forensic sciences, such as fingerprint detection, recognition or recovery of partial prints. Prior to computerization, huge fingerprint repositories were ... -
Automatic Video Indexing and Retrieval System for Turkish Videos
Rasheed, Jawad; Jamil, Akhtar; Yahyaoui, Amani; Madey, Ahmed Sheikh Abdullahi (Ieee, 2020)A continual increase in multimedia data needs a sophisticated automatic video indexing and retrieval system based on its content. This paper exploited statistical feature along with some morphological operations to detect ... -
Computational imaging for rapid detection of grade-I cerebral small vessel disease (cSVD)
Shahid, Saman; Wali, Aamir; Iftikhar, Sadaf; Shaukat, Suneela; Zikria, Shahid; Rasheed, Jawad; Asuroglu, Tunc (Cell Press, 2024)An early identification and subsequent management of cerebral small vessel disease (cSVD) grade 1 can delay progression into grades II and III. Machine learning algorithms have shown considerable promise in medical image ... -
A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles Using Deep Reinforcement Learning
Farooq, Muhammad Shoaib; Khalid, Haris; Arooj, Ansif; Umar, Tariq; Asghar, Aamer Bilal; Rasheed, Jawad; Shubair, Raed M.; Yahyaoui, Amani (MDPI, 2023)The major challenge faced by autonomous vehicles today is driving through busy roads without getting into an accident, especially with a pedestrian. To avoid collision with pedestrians, the vehicle requires the ability to ... -
COVID-19 Detection from Chest X-ray Images using CNN
Aşıcı, Elif; Hameed, Alaa Ali; Jamil, Akhtar; Rasheed, Jawad (İstanbul Sabahattin Zaim Üniversitesi, 2021)After Covid-19 was detected in China in December 2019, it spread rapidly and affected the whole world. The similarity of COVID-19 disease with other lung infections makes it difficult to make an accuracy prediction ... -
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
Rasheed, Jawad; Jamil, Akhtar; Hameed, Alaa Ali; Al-Turjman, Fadi; Rasheed, Ahmad (Springer Heidelberg, 2021)The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China, has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 million deaths across the globe. To combat the ... -
A decision support system for diabetes prediction using machine learning and deep learning techniques
Yahyaoui, Amani; Jamil, Akhtar; Rasheed, Jawad; Yesiltepe, Mirsat (Institute of Electrical and Electronics Engineers Inc., 2019)With the continuing increase in the number of the deadly diseases that threaten both human health and life, medical Decision Support Systems (DSS) continue to prove their effectiveness in providing physicians and other ... -
Deep learning based Turkish video indexing and retrieval system
Rasheed, Jawad (İstanbul Sabahattin Zaim Üniversitesi, 2021)The continual technological advancement of handheld devices and personal computers over past few decades has reshaped the world's communication system by enabling the humans and robots to capture and share images and videos ... -
A deep learning-based method for Turkish text detection from videos
Rasheed, Jawad; Jamil, Akhtar; Doğru, Hasibe Büşra; Tilki, Sahra; Yesiltepe, Mirsat (Ieee, 2019)The text appearing in videos provides useful information, which can be exploited for developing automatic video indexing and retrieval systems. In this study, we integrated a heuristic and a deep learning-based method using ... -
Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning
Tahir, Touseef; Gencel, Çiğdem; Rasool, Ghulam; Tariq, Umer; Rasheed, Jawad; Yeo, Sook Fern; Çevik, Taner (Institute of Electrical and Electronics Engineers Inc., 2023)Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance. Most empirical studies ... -
Effects of glow data augmentation on face recognition system based on deep learning
Rasheed, Jawad; Alimovski, Erdal; Rasheed, A.; Şirin, Yahya; Jamil, Akhtar; Yesiltepe, M. (Institute of Electrical and Electronics Engineers Inc., 2020)Biometric artificial intelligence application depends on amount of material on which they are trained. In this paper, we integrated Glow data augmentation technique to diversify the facial images dataset to analyze its ... -
Enhancing Communication Accessibility: UrSL-CNN Approach to Urdu Sign Language Translation for Hearing-Impaired Individuals
Das, Khushal; Abid, Fazeel; Rasheed, Jawad; Kamlish; Asuroglu, Tunc; Alsubai, Shtwai; Soomro, Safeeullah (Tech Science Press, 2024)Deaf people or people facing hearing issues can communicate using sign language (SL), a visual language. Many works based on rich source language have been proposed; however, the work using poor resource language is ... -
Fault Prediction of Wind Turbine Gearbox Based on SCADA Data and Machine Learning
Rashid, Haroon; Khalaji, Erfan; Rasheed, Jawad; Batunlu, Canras (Ieee, 2020)As the demand for wind power continues to grow at an exponential rate, reducing operation and maintenance expenses and improving reliability has become pinnacle priorities in wind turbine maintenance strategies. Prediction ... -
Finding the Flies in the Sky Using Advanced Deep Learning Algorithms
Tokat, Mustafa; Bedir, Sümeyra; Rasheed, Jawad (Springer, 2024)Image processing is a concept that allows us to perform operations on images by extracting meaningful features from them. Deep learning algorithms are frequently used in image processing. Although there are many algorithms ... -
Fruits Sorting with Instance Based Image Processing
Doğru, Hasibe Büşra; Şirin, Yahya; Tilki, Sahra; Yeşiltepe, Mirşat; Rasheed, Jawad; Khan, Muhammed Usman Shahid (İstanbul Sabahattin Zaim Üniversitesi, 2021)In the agricultural industry which is among the most prominent sectors on a world scale, image processing for efficiency and quality has also become an important domain. Automation systems are working with image ... -
Gender Classification Using Deep Learning Techniques
Tilki, Sahra; Doğru, Hasibe Büşra; Hameed, Alaa Ali; Jamil, Akhtar; Rasheed, Jawad; Alimovski, Erdal (İstanbul Sabahattin Zaim Üniversitesi, 2021)Gender classification from face images is a challenging task due to presence of complex background, object occlusion, and variations in illumination conditions. Face images can be exploited for various applications ... -
Hexadecimal hash value hiding in a message in web service against deep learning
Yesiltepe, Misrat; Jamil, Akthar; Rasheed, Jawad; Kurulay, Muhammet (Ieee, 2019)One of the main aim of information security is to communicate information from the one environment to the other. This is one of the main purposes of message security in web services. Even though the main objectives of ... -
Intelligent Facemask Coverage Detector in a World of Chaos
Waziry, Sadaf; Wardak, Ahmad Bilal; Rasheed, Jawad; Shubair, Raed M.; Yahyaoui, Amani (MDPI, 2022)The recent outbreak of COVID-19 around the world has caused a global health catastrophe along with economic consequences. As per the World Health Organization (WHO), this devastating crisis can be minimized and controlled ... -
Investigating Artificial Intelligence Models for Predicting Joint Pain from Serum Biochemistry
Shahid, Saman; Javaid, Aatir; Amjad, Usman; Rasheed, Jawad (Assoc Medica Brasileira, 2024)OBJECTIVE: The study used machine learning models to predict the clinical outcome with various attributes or when the models chose features based on their algorithms. METHODS: Patients who presented to an orthopedic ...
