• 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 ...

• Sentiment Analysis in Social Internet of Things Using Contextual Representations and Dilated Convolution Neural Network 

  Abid, Fazeel; Rasheed, Jawad; Hamdi, Mohammed; Alshahrani, Hani; Al Reshan, Mana Saleh; Shaikh, Asadullah (Springer Science and Business Media Deutschland GmbH, 2024)

  The methodologies based on neural networks are substantial to accomplish sentiment analysis in the Social Internet of Things (SIoT). With social media sentiment analysis, significant insights can produce efficient and ...

• Unveiling Interpretability: Analyzing Transfer Learning in Deep Learning Models for Trafc Sign Recognition 

  Waziry, Sadaf; Rasheed, Jawad; Ghabban, Fahad Mahmoud; Alsubai, Shtwai; Elkiran, Harun; Alqahtani, Abdullah (Springer, 2024)

  Since the advent of automobiles and driver assistance technologies, trafc sign recognition has been of the utmost importance for Industry 4.0. In the driving system, good data pre-processing is critical. For such objectives, ...

• Morphology for Hexagonal Image Processing: A Comprehensive Simulation Analysis 

  Cevik, Taner; Nematzadeh, Sajjad; Rasheed, Jawad; Alshammari, Abdulaziz (Institute of Advanced Engineering and Science, 2024)

  Morphological operators for binary and grayscale images are commonly used to eliminate noise, recognize contours or specific structures, and arrange shapes in image processing for physiological modeling and biomechanics ...

• AI Applications in Electrical and Electronics Engineering: Review 

  Wadi, Mohammed; Tamyiğit, Furkan Ahmet; Husain, Nour; Küçük, İsmail (Livre de Lyon, 2025)

  This chapter looks closely at how AI may be used in EEE. Examining important disciplines such as power systems, control systems, signal processing, electronic design automation, and embedded systems helps this chapter ...

• Islamic Perspective on Assets and Property 

  Hamzah, Halipah; Saiti, Buerhan; Saefurrohman, Ghina Ulfah (Human Resource Management Academic Research Society, 2023)

  The riches and possessions Allah SWT gives to His followers are entirely His property. Humanity's presence in this world is simply a temporary loan, and all other creatures are free to use it in beneficial ways. According ...

• 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 ...

• 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 ...

• Psychiatric disorders from EEG signals through deep learning models 

  Ahmed, Zaeem; Wali, Aamir; Shahid, Saman; Zikria, Shahid; Rasheed, Jawad; Asuroglu, Tunc (Elsevier, 2024)

  Psychiatric disorders present diagnostic challenges due to individuals concealing their genuine emotions, and traditional methods relying on neurophysiological signals have limitations. Our study proposes an improved EEG-based ...

• Measurement of Noise Levels in Pakistani Residential Societies at Source and Receiver Locations 

  Nadeem, Adnan; Shahid, Saman; Shahid, Ali; Rasheed, Jawad; Alsubai, Shtwai (HARD, 2024)

  Escalating transportation demands have mandated extensive construction of highways in proximity to residential zones, culminating in heightened vehicular noise levels. This investigation centered on the assessment of ...

• Investigation of Tree Characteristics for Traffic Noise Abatement 

  Sultan, Tamoor; Shahid, Saman; Rasheed, Jawad; Alsubai, Shtwai (Technical Univ Wroclaw, 2024)

  There is a connection between noise reduction and roadside tree plantation. Understanding how properties of trees (density, height, leaf type, crown spread, etc.) impact noise attenuation is crucial. The current study ...

• 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 ...

• Turkish Lira Banknote Classification using Transfer Learning and Deep Learning 

  Yeşiltepe, Mirsat; Elkıran, Harun; Rasheed, Jawad (Istanbul University Press, 2024)

  With the increasing exchange of foreign currencies due to globalization, there is a need for systems that can recognize and validate multiple currencies in real time. Such systems facilitate smooth international transactions ...

• BERT-Base Modeli ile Türkçe Sosyal Medya Paylaşımlarında Nefret Söylemi Tespiti 

  Bayrak, Şengül; Karaca, Alper; Toson, Ferhat; Kocabey, Aleyna; Arslanoğlu, Fatma Begüm (IEEE, 2023)

  İnternetin gelişmesiyle birlikte dünya genelinde kullanıcılar tarafından ifade edilen veri miktarı artmıştır. Sosyal medyada nefret söylemi tespiti, zararlı dilin önlenmesi ve güvenli çevrimiçi toplulukların teşvik ...

• Ülkelerin Gelişiminde Proje Değerlendirme Sistemi Kalitesinin Önemi ve Bu Amaca Yönelik Öneriler 

  Özkul, Tarık (İstanbul Sabahattin Zaim Üniversitesi, 2024)

  Yüksek teknoloji projeleri, ülkelerin ekonomik, sosyal ve bilimsel gelişiminde kritik bir rol oynamaktadır. Bu projeler, yenilikçi çözümler sunarak çeşitli sektörlerde verimliliği artırmakta ve küresel rekabet gücünü ...

• HEEL: A new clustering method to improvewireless sensor network lifetime 

  Seyyedabbasi, Amir; Doğan, Gülüstan; Kiani, Farzad (The Institution of Engineering and Technology, 2020)

  In wireless sensor networks, some resources such as memory and energy are limited. In recent years, there has been an increasing interest in improving network lifetime. Node energy plays an important role in the network ...

• A Survey Automatic Text Summarization 

  Taş, Oğuzhan; Kiyani, Farzad (Suat Teker, 2017)

  ext summarization is compress the source text into a diminished version conserving its information content and overall meaning. Because of the great amount of the information we are provided it and thanks to development ...

• Stock Market Value Prediction using Deep Learning 

  Kalyoncu, Şeyda; Jamil, Akhtar; Karataş, Enes; Rasheed, Jawad; Djeddi, Chawki (Sakarya Uygulamalı Bilimler Üniversitesi, 2020)

  The stock market is a key indicator of the economic conditions of a country. Stock exchange provides a neutral ground for brokers and companies to invest. Due to high investment return, people tend to invest in stock ...

• Text Detection and Recognition in Natural Scenes by Mobile Robot 

  Alimovski, Erdal; Erdemir, Gökhan; Kuzucuoğlu, Ahmet Emin (Hibetullah KILIÇ, 2024)

  Detecting and identifying signboards on their route is crucial for all autonomous and semi-autonomous vehicles, such as delivery robots, UAVs, UGVs, etc. If autonomous systems interact more with their environments, they ...

• Generating ad creatives using deep learning for search advertising 

  Çoğalmış, Kevser Nur; Bulut, Ahmet (TÜBİTAK, 2022)

  We generated advertisement creatives programmatically using deep neural networks. A landing page contains relevant text data, which can be used for generating advertisement creatives, i.e. ads. We treated the ad ...

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