• 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 ...

• Understanding the User-Generated Geographic Information by Utilizing Big Data Analytics for Health Care 

  Ullah, Hidayat; Hameed, Alaa Ali; Rizvi, Sanam Shahla; Jamil, Akhtar; Kwon, Se Jin (HINDAWI LTD, 2022)

  There are two main ways to achieve an active lifestyle, the first is to make an effort to exercise and second is to have the activity as part of your daily routine. The study's major purpose is to examine the influence of ...

• Ad creative generation using reinforced generative adversarial network 

  Terzioğlu, Sümeyra; Çoğalmış, Kevser Nur; Bulut, Ahmet (Springer, 2022)

  Crafting the right keywords and crafting their ad creatives is an arduous task that requires the collaboration of online marketers, creative directors, data scientists, and possibly linguists. Many parts of this craft are ...

• A clustering algorithm based on jet algorithms for cross-talk events in neutron detector arrays 

  Dogangun, O.; Özok, F.; Dündar, U.; Erduran, Mustafa Nizamettin (IOP Publishing Ltd., 2022)

  A clustering algorithm based on the jet (cascade of particles descendant from a single particle due to hadronization) algorithms used in High Energy Physics is presented for identification of neutron cross-talk events in ...

• Evidence for spherical-oblate shape coexistence in Tc 87 

  Liu, X.; Cederwall, B.; Qi, C.; Wyss, RA.; Aktas, O.; Ertoprak, A.; Zhang, W.; Clement, E.; de France, G.; Ralet, D.; Gadea, A.; Goasduff, A.; Jaworski, G.; (Kuti, I.; Nyako, B. M.; Nyberg, J.; Palacz, M.; Wadsworth, R.; Valiente-Dobon, J. J.; Al-Azri, H.; Nyberg, A. Atac; Back, T.; de Angelis, G.; Doncel, M.; Dudouet, J.; Gottardo, A.; Jurado, M.; Ljungvall, J.; Mengoni, D.; Napoli, D. R.; Petrache, C.M.; Sohler, D.; Timar, J.; Barrientos, D.; Bednarczyk, P.; Benzoni, G.; Birkenbach, B.; Boston, A. J.; Boston, H. C.; Burrows, I.; Charles, L.; Ciemala, M.; Crespi, F. C. L.; Cullen, D. M.; Desesquelles, P.; Domingo-Pardo, C.; Eberth, J.; Erturk, S.; Gonzalez, V.; Goupil, J.; Hess, H.; Huyuk, T.; Jungclaus, A.; Korten, W.; Lemasson, A.; Leoni, S.; Maj, A.; Menegazzo, R.; Million, B.; Perez-Vidal, R. M.; Podolyak, Zs; Pullia, A.; Recchia, F.; Reiter, P.; Saillant, F.; Salsac, M. D.; Sanchis, E.; Simpson, J.; Stezowski, O.; Zielinska, M.; Theisen, C.; Zielinska, M. (American Physical Society, 2022)

  Excited states in the neutron-deficient nucleus Tc87 have been studied via the fusion-evaporation reaction Fe54(Ar36,2n1p)Tc87 at 115 MeV beam energy. The AGATA γ-ray spectrometer coupled to the DIAMANT, NEDA, and Neutron ...

• 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 ...

• Investigation of some nonlinear physical models: exact and approximate solutions 

  Ataş, Sibel Şehriban; Ismael, Hajar Farhan; Sulaiman, Tukur Abdulkadir; Bulut, Hasan (Springer, 2023)

  We use the (m+1G′)-expansion method in reaching the exact solution of the (3+1)-dimensional B-type Kadomtsev-Petviashvili-Boussinesq, Newel-Whitehead-Segel, and Zeldovich equations. New solutions in form of the kink, complex ...

• Performance Comparison of Deep and Machine Learning Approaches Toward COVID-19 Detection 

  Yahyaoui, Amani; Rasheed, Jawad; Alsubai, Shtwai; Shubair, Raed M.; Alqahtani, Abdullah; İşler, Buket; Haider, Rana Zeeshan (Tech Science Press, 2023)

  The coronavirus (COVID-19) is a disease declared a global pan-demic that threatens the whole world. Since then, research has accelerated and varied to find practical solutions for the early detection and correct identification ...

• Reversible Logic-Based Hexel Value Differencing-A Spatial Domain Steganography Method for Hexagonal Image Processing 

  Çevik, Taner; Çevik, Nazife; Rasheed, Jawad; Asuroğlu, Tunç; Alsubai, Shtwai; Turan, Mehmet (Institute of Electrical and Electronics Engineers Inc., 2023)

  The field of steganography has witnessed considerable advancements in square-pixel-based image processing (SIP). However, the application of steganography in Hexel (Hexagonal pixel)-based Image Processing (HIP) is still ...

• 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 ...

• Measurement of LYSO crystal light output and energy resolution improvement with acid etching 

  Kolcu, Onur Buğra; İren, Emre; Yetkin, Taylan; Özok, Ferhat; Erduran, Mustafa Nizamettin (Elsevier Ltd, 2023)

  In this study, we investigated the impact of chemical etching on the light output and energy resolution of LYSO scintillators using simple, affordable laboratory equipment. We found that etching with phosphoric acid at ...

• Monocular vision with deep neural networks for autonomous mobile robots navigation 

  Sleaman, Walead Kaled; Hameed, Alaa Ali; Jamil, Akhtar (Elsevier GmbH, 2023)

  Enabling mobile robots to explore the formerly unidentified environment is a challenging task. The current paper describes the internal analysis algorithm for mobile robots that combines various convolutional neural network ...

• Akıllı Evlerdeki Cihazların Enerji Tüketimine Göre Kaynağının Belirlenmesi 

  Er, Rezzan Nisa; Uğurlu, Bora; Bayram, Utku (Bandırma Onyedi Eylül Üniversitesi, 2021)

  Günümüzde elektrik enerjisi kaynaklarını çeşitlendirmek büyük önem taşımaktadır. Bu çalışmada, bir evin ihtiyaç duyabileceği elektriksel enerjisi iki farklı kaynak tarafından sağlanmaktadır. Bunlardan ilki, şehir ...

• Overhead Power-Transmission-Line Temperature Mapping by Robotic Measurement 

  Zengin, Aydın Tarık (Taylor's University, 2022)

  Overheating of the power transmission lines can cause faults, leading to interruptions on the power distribution system. This temperature rise may cause more significant failures in the medium and long term. Symptoms of ...

• A longitudinal inter-vehicle distance controller application for autonomous vehicle platoons 

  Gunagwera, Alex; Zengin, Aydın Tarık (PeerJ Inc., 2022)

  Autonomous vehicle platoons are a promising solution to road safety, efficient road utilization, emission reduction, among other problems facing today’s transportation industry. However, consistently maintaining the desired ...

• Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE 

  Çakır, Mert Yılmaz; Şirin, Yahya (Springer Science and Business Media Deutschland GmbH, 2023)

  Fraud detection is a critical task across various domains, requiring accurate identification of fraudulent activities within vast arrays of transactional data. The significant challenges in effectively detecting fraud stem ...

• Measurement of the Number of Photoelectrons per MeV for Neutron Detectors 

  İren, Emre; Özok, Ferhat; Erduran, Mustafa Nizamettin (Hibetullah Kılıç, 2021)

  The light gains of a detector system (photomultiplier tube and scintillator) is characterized by the number of photoelectrons produced per unit of energy (usually MeV). In this study, the results of light gain tests for ...

• Asal katsayılarla düzenlenmiş doğrusal üreteç 

  Gençoğlu, Hakan; Yerlikaya, Tarık (Beykent Üniversitesi, 2020)

  Karıştırma algoritmaları, bir veri bütünün parça parça düşünüp bu parçaların yerlerini rastgele seçilen parçalarla değiştirmesi şeklinde işlem yapar. Yani rastgele üretilen bir değere ait konumda bulunan bir veriyi, sıradaki ...

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