• Object Detection in Video by Detecting Vehicles Using Machine Learning and Deep Learning Approaches 

  Abdullahi Madey, Ahmed Sheikh; Yahyaoui, Amani; Rasheed, Jawad (Institute of Electrical and Electronics Engineers Inc., 2021)

  In recent, the field of object vehicles detection in video is very interested and had became applicable with methods of deep learning and machine learning. The main objective for these applications is to display the targeted ...

• Issues, Challenges, and Progress of Autonomous Robotic Platoons 

  Gunagwera, Alex; Zengin, Aydın Tarık (IGI Global, 2022)

  The number of vehicles on the roads worldwide grows annually. With the increase in the population of on-road vehicles comes the increase in traffic-related problems such as emissions, traffic accidents, traffic jams, and ...

• Artificial Intelligence Approach for Modeling House Price Prediction 

  Cekic, Melihsah; Korkmaz, Kubra Nur; Mukus, Habib; Hameed, Alaa Ali; Jamil, Akhtar; Soleimani, Faezeh (IEEE, 2022)

  Real estate has a vast market volume across the globe. This domain has been growing significantly in the past few decades. An accurate prediction can help buyers, and other decision-makers make better decisions. However, ...

• Assessing the Spreading Behavior of the Covid-19 Epidemic: A Case Study of Turkey 

  Demir, Erdem; Canitez, Muhammed Nafiz; Elazab, Mohamed; Hameed, Alaa Ali; Jamil, Akhtar; Al-Dulaimi, Abdullah Ahmed (Institute of Electrical and Electronics Engineers Inc., 2022)

  Coronavirus (Covid-19) disease is a rapidly spreading type of virus that was discovered in Wuhan, China, and emerged towards the end of 2019. During this period, various studies were conducted, and intensive studies are ...

• Deep Learning for Liver Disease Prediction 

  Mutlu, Ebru Nur; Devim, Ayse; Hameed, Alaa Ali; Jamil, Akhtar (Springer, 2022)

  Mining meaningful information from huge medical datasets is a key aspect of automated disease diagnosis. In recent years, liver disease has emerged as one of the commonly occurring diseases across the world. In this paper, ...

• Abalone Age Prediction Using Machine Learning 

  Guney, Seda; Kilinc, Irem; Hameed, Alaa Ali; Jamil, Akhtar (Springer, 2022)

  Abalone is a marine snail found in the cold coastal regions. Age is a vital characteristic that is used to determine its worth. Currently, the only viable solution to determine the age of abalone is through very detailed ...

• Noise Presence Detection in QR Code Images 

  Wardak, Ahmad Bilal; Rasheed, Jawad; Yahyaoui, Amani; Waziry, Sadaf; Alimovski, Erdal; Yesiltepe, Mirsat (IEEE, 2023)

  A quick response (QR) code is symbols used to encode information such as key identifiers (website addresses, product, etc.) that can be printed and scanned electronically using image-based technology. However, it may ...

• Thermal Modeling for Underground Cable Under the Effect of Thermal Resistivity and Burial Depth Using Finite Element Method 

  Al-Dulaimi, Abdullah Ahmed; Guneser, Muhammet Tahir; Hameed, Alaa Ali (Springer, 2022)

  Many factors affect underground cables, including the temperature distribution surrounding the cable, the depth of the cable, the thermal resistivity of the soil, and the material the cable is backfilled. The study and ...

• Fast-ICA Based Lane Detection Method for Autonomous Vehicles 

  Dogru, Hasibe Busra; Zengin, Aydin Tarik (Institute of Electrical and Electronics Engineers Inc, 2022)

  Lane detection is an important process in autonomous vehicle systems. Noise in the image, such as object shadows and terminating lane lines, make lane detection difficult. This study proposes a Convolutional Neural ...

• Analysis of Breast Cancer Classification with Machine Learning based Algorithms 

  Bah, Abdoulaye; Davud, Muhammed (Institute of Electrical and Electronics Engineers Inc., 2022)

  Nowadays experienced radiologists can perform successful detection of malignant tumors by examining the histological images or patients’ data. However, experts may have different diagnosis or decisions about the type of ...

• A Hybrid Metaheuristic Algorithm for the Localization Mobile Sensor Nodes 

  Kirtil, Hasan Sencer; Seyyedabbasi, Amir (Springer Science and Business Media Deutschland GmbH, 2022)

  Wireless sensor Networks replace existing technologies in today’s world. It has some problems in Wireless Sensor Networks (WSN) such as security, energy optimization or mobile localization. Wireless sensor networks are ...

• Analysis of Convexly Combined Recursive Inverse Algorithms 

  Hilal, Hasan Abu; Salman, Mohammad Shukri; Hameed, Alaa Ali (Springer Science and Business Media B.V., 2022)

  The RI method, which has only lately been developed, has showed outstanding performance in a wide range of application fields. Convexly linked RI method In this study, we demonstrate the algorithm’s tracking evaluation ...

• 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 ...

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