• Using optical character recognition techniques, classification of documents extracted from images 

  Ibrahim, Abdullahi Abdu; Safaa Salim, Ahmed; Ameer Abd Almaged, Husam (Springer Science and Business Media Deutschland GmbH, 2023)

  We now have autonomous cars, speech recognition, efficient online search, and a far greater grasp of the human genome thanks to machine learning techniques developed during the previous ten years. Today, machine learning ...

• Evaluation DDoS attack detection through the application of machine learning techniques on the CICIDS2017 dataset in the field of information security 

  Ahmed, Ali Saadoon; Kurnaz, Sefer; Khaleel, Arshad M. (International Information and Engineering Technology Association, 2023)

  Amongst network and Intrusion Detection System (IDS) threats, Distributed Denial of Service (DDoS) attacks often take precedence due to their significant potential to disrupt services, leading to financial and reputational ...

• Various simulation tools for wireless sensor networks 

  Koyuncu, Hakan; Bagwari, Ashish (CRC Press, 2023)

  Networks of specialized, geographically scattered wireless sensors that track and record physical environmental conditions and transmit the collected information to a central point are called wireless sensor networks. They ...

• A hybrid control topology for standalone PV systems Co2 

  Khazaal, Hasan F.; Hburi, Ismail; Ilyas, Muhammad; Mohsin Al-Lami, Ameer Mohammed Qasim (American Institute of Physics Inc., 2022)

  Solar energy is the most significant energy resource since it is pollution-free, clean, and inexhaustible. A huge number of approaches have been suggested in recent years for tracking the maximum Power and smoothing the ...

• A survey on state of the inter body radio communication channel: performance and solutions 

  Mezher, Mohanad; Alabbas, Amjed Razzaq; Ilyas, Muhammad (John Wiley and Sons Inc., 2022)

  The development of in-vivo communications and networking systems has the potential for improving the healthcare delivery while also enabling the creation of new services and applications. In-vivo communications provide ...

• An improved dual-sink architecture with a modified media access control protocol, energy-aware, and quality-of-service guaranteed routing algorithms for wireless body area network 

  Ibrahim, Abdullahi Abdu (SAGE Publications Ltd, 2022)

  To reduce frequent sensor recharging and replacement due to resource constraint, it becomes imperative to increase the management of energy and network’s quality of service. To this end, this article provides a new wireless ...

• Quality of Service-aware clustered triad layer architecturefor critical data transmission in multi-body area network environment 

  İbrahim, Abdullahi Abdu (John Wiley and Sons Inc., 2021)

  Wireless Body Area Network (WBAN) is an important element of future smart healthcare services in smart cities. For this reason, many research works have been undergone in WBAN. The significant research issue in the WBAN ...

• A comparative study of handwritten character recognition by using Image Processing and Neural Network techniques 

  Koyuncu, Hakan (2021)

  This study aims to analyze the effects of noise, image filtering, and edge detection techniques in the preprocessing phase of character recognition by using a large set of character images exported from the MNIST database ...

• Design and fabrication of UWB microstrip Antenna on different substrates for wireless Communication system 

  Ahmed, Olaf; Thaher, Raad H.; Ahmed, Saadaldeen Rashid (Institute of Electrical and Electronics Engineers Inc., 2022)

  A new shape of microstrip antenna is proposed that operates in the 5G Sub band with size 26times 30times 1-6)mm3 ' and the effect of changing the suberate on the performance of the antenna was Investigated; the antenna is ...

• A descriptive statistical analysis of overweight and obesity using big data 

  Ali, Salam Abdulabbas Ganim; Al-Fayyadh, Hayder Rahm Dakheel; Mohammed, Shaimaa Hadi; Ahmed, Saadaldeen Rashid (Institute of Electrical and Electronics Engineers Inc., 2022)

  In this paper, we have obtained the dataset from an open-source repository for obese people by focused on a descriptive statistical analysis of overweight and obesity using big data. We performed the statistical analysis ...

• A systematic literature review of blockchain technology 

  Ghazi, Alaan; Alisawi, Muthana; Wahab, Yousif Mohammed; Al-Dawoodi, Aras; Abdullah, Sirwan Saber; Hammood, Layth; Nawaf, Asmaa Yaseen (International Association of Online Engineering, 2022)

  The Blockchain technology moves data nodes and data streams from one informatics center to another based on the importance of Bitcoins, resulting in a dedicated, public, and secure network for interpretation and development ...

• A bidirectional LSTM-RNN and GRU method to exon prediction using splice-site mapping 

  Canatalay, Peren Jerfi; Uçan, Osman Nuri (2022)

  Deep Learning techniques (DL) significantly improved the accuracy of predictions and classifications of deoxyribonucleic acid (DNA). On the other hand, identifying and predicting splice sites in eukaryotes is difficult due ...

• Effects of acidic beverages on color stability of bulk-fill composites with different viscosities 

  Şişmanoğlu, Soner; Sengez, Görkem (2022)

  The aim of this in vitro study is to investigate the effects of acidic beverages on the discoloration of bulk-fill composites with different viscosities. 144 disc-shaped specimens (8mm diameter × 2mm thick) were prepared ...

• Stereo vision development for high performance on stereo systems 

  Ali N., Yousif; Ibrahim, Hassan M.; Alwan, Safaa J.; Majid, Mohammed Sh. (2022)

  Stereo vision applications and systems are being grown common and widespread, especially with technological advancement. These systems and applications are widely applied in multiple fields and areas including autonomous ...

• YOLO-V3 based real-time drone detection algorithm 

  Alsanad, Hamid R.; Sadik, Amin Z.; Bayat, Oguz (Multimedia Tools and Applications, 2022)

  Drones are currently being used in a wide range of useful tasks that are too dangerous or/and expensive to be performed by humans. However, this is increasingly developing security breaching issues due to the possibility ...

• Hybrid deep learning model for automatic fake news detection 

  Hanshal, Othman A.; Uçan, Osman Nuri; Sanjalawe, Yousef K. (Applied Nanoscience, 2022)

  With the fast advancement in digital news, fake news has already caused grave threats to the public’s actual judgment and credibility, in specifc, with the wide use of social networking platforms, which provide a rich ...

• Quality of service system that is self-updating by intrusion detection systems using reinforcement learning 

  Alawsi, Atheel Sabih Shaker; Kurnaz, Sefer (Applied Nanoscience, 2022)

  Machine learning techniques are widely used in many areas and have also been used in intrusion detection systems (IDS) to identify hard-to-recognize patterns that can distinguish benign trafc from attack. However, these ...

• A survey on intrusion detection system in ad hoc networks based on machine learning 

  Abbood, Zainab Ali; Atilla, Doğu Çağdaş; Aydın, Çağatay; Mahmoud, Mahmoud Shuker (IEEE, 2021)

  This advanced research survey aims to perform intrusion detection and routing in ad hoc networks in wireless MANET networks using machine learning techniques. The MANETs are composed of several ad-hoc nodes that ...

• A fuzzy quality model to measure the maintainability of microservice architectures 

  Buzluca, Feza (2021)

  Microservice architecture (MSA) is a type of software and systems architecture that is based on the modularization principle. It proposes designing systems employing small-scaled, loosely coupled, and independently deployable ...

• Feature selection for diagnose coronavirus (COVID‑19) disease by neural network and Caledonian crow learning algorithm 

  Alsaeedi, Mokhalad Abdulameer Kadhim; Kurnaz, Sefer (Applied Nanoscience, 2021)

  In this study, feature selection methods based on the new Caledonian crow learning algorithm has been introduced. In the proposed algorithms, in the frst stage, the best features related to COVID-19 disease are selected ...

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