• Using Iot Technology For Structural Health Monitoring Applications Of Ships 

  Taşcı, Merve Esra; Özkul, Tarık (IEDSR, 2024)

  Structures such as buildings, bridges, and ships have a certain design life. Monitoring the lifetime of these structures, considering damage due to environmental factors, or predicting potential future events is possible ...

• Colorectal Cancer Diagnosis with Deep Learning Models 

  Taşci, Merve Esra; Elmi, Zahra; Albayrak, Ömer Faruk; Tokat, Mustafa (International Institute of Informatics and Cybernetics, 2024)

  The third most common disease in the world, colorectal cancer, frequently has the highest death rate. Surgery is a viable treatment option, but after five years, thirty to forty percent of patients have recurrence. Many ...

• PV Systems Efficiency Evaluation Using Machine Learning Techniques 

  Wadi, Mohammed; Jouda, Mohammed; Salemdeeb, Mohammed; Husain, Nour (Institute of Electrical and Electronics Engineers Inc., 2024)

  Many factors, such as solar irradiance, temperature, angle of incidence, shading, panel degradation, temperature coefficient, and other parameters, can substantially affect the efficiency of photovoltaic (PV) systems. This ...

• 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 ...

• Personal Rights and Intellectual Properties in the Upcoming Era: The Rise of Deepfake Technologies 

  Hasani, Anesa; Rasheed, Jawad; Alsubai, Shtwai; Luma-Osmani, Shkurte (Springer, 2024)

  This study analyses the newest ways that companies are adapting at profiting from people that are no longer alive and protected by the law. Personal rights have been put in place to protect individuals, however, with the ...

• Zero-Shot Object Detection and Segmentation: A Focus on Street View Imagery 

  Tilki, Sahra; Kaplan, Ahmet; Zengin, Aydin Tarik (IEEE, 2024)

  With the advancement of data collection technologies, the importance of new data types like street view images, in addition to satellite and aerial images, has increased. Street view images (SVI) stand out by containing ...

• Image-Based Nystagmus Analysis in BPPV Disorders: Polar Coordinate System and Template Matching 

  Dogru, Hasibe Busra; Kaplan, Ahmet; Zengin, Aydin Tarik; Ozkul, Tarik (IEEE, 2024)

  Benign Paroxysmal Positional Vertigo (BPPV) is an inner ear disorder characterized by dizziness and a sense of imbalance, resulting from a disturbance in the balance center located in the inner ear, often due to dislodged ...

• Sentiment Analysis on Reviews of Amazon Products Using Different Machine Learning Algorithms 

  Rasheed, Jawad; Özkul, Tarik; Taşcı, Merve Esra (Springer, 2024)

  There are thousands of products with hundreds of reviews on major e-commerce sites such as Amazon and eBay. Customers often browse through positive and negative reviews before making a purchase decision. Reading hundreds ...

• 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 ...

• Determining Whether a Turkish Text is Produced by Artificial Intelligence or Human 

  Er, Rezzan Nisa; Cogalmis, Kevser Nur (IEEE, 2024)

  Nowadays, with the acceleration of the flow of information over the internet, text content such as articles, blog posts and news are now produced in digital environments. Some of this content is produced by artificial ...

• 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 ...

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