• Comparative study on different cnn architectures developed on microstructural classification in ai-si alloys 

  Kalkan, M. F.; Aladag, M.; Kurzydlowski, K. J.; Yilmaz, N. F.; Yavuz, A (Polska Akad Nauk, 2024)

  Recent advances in artificial intelligence have opened up new avenues for microstructure characterization, notably in metallic materials. Physical and mechanical properties generally depend on the microstructure of the ...

• Artificial hybrid neural network-based simultaneous scheme for solving nonlinear equations: Applications in engineering 

  Shams, Mudassir; Kausar, Nasreen; Araci, Serkan; Oros, Georgia Irina (Elsevıer, DEC 2024)

  A novel three-step simultaneous scheme for finding all distinct and multiple roots of non-linear equations are developed in this paper. Analysis of convergence demonstrates that the newly created scheme has an order of ...

• Some applications and maximum principles for multi-term time-space fractional parabolic Monge-Ampère equation 

  Guan, Tingting; Wang, Guotao; Araci, Serkan (De Gruyter Poland Sp Z O O, AUG 12 202)

  This study first establishes several maximum and minimum principles involving the nonlocal Monge-Amp & egrave;re operator and the multi-term time-space fractional Caputo-Fabrizio derivative. Based on the maximum principle ...

• Metagenomic data analysis with machine learning to discover colorectal cancer-associated enzymes 

  Ersoz, Nur Sebnem; Kuzudisli, Cihan; Yousef, Malik; Bakir-Gungor, Burcu (Institute of Electrical and Electronics Engineers Inc., 2024)

  The human gut microbiome comprises over 10 trillion microbes and plays important roles in maintaining metabolism, body homeostasis, impacting immune function. Metagenomics which studies genomic data from clinical and ...

• Prediction of type 2 diabetes using metagenomic data and ıdentification of taxonomic biomarkers 

  Temiz, Mustafa; Kuzudisli, Cihan; Yousef, Malik; Bakir-Gungor, Burcu (Institute of Electrical and Electronics Engineers Inc., 2024)

  Nowadays, different molecular levels of -omics data on diseases are generated and analyzing these data with machine learning methods is one of the popular research topics. Among these data, the use of metagenomic data to ...

• Wear and thermal coupled comparative analysis of additively manufactured and machined polymer gears 

  Yilmaz, Musa; Yilmaz, Necip Fazil; Gungor, Abdurrahman (Elsevier Ltd, 15 Novembe)

  This study investigates the potential use of additive manufacturing (AM)-produced gears in the polymer gear industry as an alternative to conventionally manufactured gears. The focus is on comparing the wear and thermal ...

• Accelerated multistep thermal stabilization of polyacrylonitrile fibers using an ethylenediamine pretreatment 

  Tunçel, Kemal Şahin; Demirel, Tuba; Karacan, Ismail (Springer, August 202)

  The polyacrylonitrile multifilament yarn underwent a multistep heat treatment process including stabilization times ranging from 5 to 75 min following impregnation with a 30% ethylenediamine (EDA) aqueous solution. A series ...

• Bibliometric ınsights into car wash wastewater treatment research: Trends and perspectives 

  Alazaiza, Motasem Y. D.; Alzghoul, Tharaa Mahmoud; Amr, Salem Abu; Bangalore Ramu, Madhusudhan; Nassani, Dia Eddin (Multidisciplinary Digital Publishing Institute (MDPI), July 2024)

  Car wash wastewater (CWW) poses a significant environmental danger due to its high chemical oxygen demand (COD), heavy metals, and anionic surfactant complex composition, all of which can have an adverse effect on the ...

• The advancement of waterjet-guided laser cutting system for enhanced surface quality in AISI 1020 steel sheets 

  Paksoy, Muhammed; Çandar, Hakan; Yılmaz, Necip Fazıl (Multidisciplinary Digital Publishing Institute (MDPI), July 2024)

  This study investigates the effects of a water-guided laser on the cutting performance of AISI 1020 steel sheets of various thicknesses by comparing the results with respect to a conventional laser. For this purpose, a ...

• Artificial hybrid neural network-based simultaneous scheme for solving nonlinear equations: Applications in engineering 

  Shams, Mudassir; Kausar, Nasreen; Araci, Serkan; Oros, Georgia Irina (Elsevier B.V., December 2)

  A novel three-step simultaneous scheme for finding all distinct and multiple roots of non-linear equations are developed in this paper. Analysis of convergence demonstrates that the newly created scheme has an order of ...

• Semantic similarity measure using a combination of word2vec and wordnet models 

  Fellah, Aissa; Zahaf, Ahmed; Elçi, Atilla (Institute of Advanced Engineering and Science, June 2024)

  The cognitive effort required for humans to perceive similarities and relationships between words is considerable. Measuring similarity and relatedness between text components such as words, texts, or documents is challenging, ...

• Optimizing construction supplier selection in conflict-affected regions: A hybrid multi-criteria framework 

  Hallak, Jamil (Springer Original langu, 2024)

  Conflicts and wars profoundly impact infrastructure, exacerbating the adversity already caused by natural disasters. Therefore, it is imperative that the reconstruction process be both effective and efficient to expedite ...

• Analyzing the evolution of research on student awareness of solid waste management in higher education ınstitutions: A bibliometric perspective 

  Alazaiza, Motasem Y. D.; Alzghoul, Tharaa Mahmoud; Al Maskari, Tahra; Amr, Salem Abu; Nassani, Dia Eddin (Multidisciplinary Digital Publishing Institute (MDPI), July 2024)

  Improper solid waste management (SWM) has resulted in an environmental and epidemiological catastrophe, emphasizing the urgency of SWM due to escalating solid waste generation. Over the past few decades, there has been ...

• Estimation of the solar radiation intensity on photovoltaic surfaces using anisotropic Models, investigation of influence of tilt angles and solar trackers: A case study for the southeastern of Türkiye 

  Akgul, Batur Alp; Ozyazici, Mustafa Sadettin; Hasoglu, Muhammet Fatih (Elsevier Ltd, September )

  The estimation of total solar radiation (TSR) intensity is crucial for the performance, design, and economic assessment of photovoltaic (PV) energy systems operating in different geolocations and climates. Various transposition ...

• On s-clean and s-nıl-clean rıngs 

  Es-Saidi, Mohamed; Celikel, Ece Yetkin (Jangjeon Research Institute for Mathematical Sciences and Physics, 2024)

  Let A be a commutative ring with identity. An element a G A is said to be S-clean (resp., S-nil-clean), where S ⊂ A is a given multiplicative set, if there exists s ∈ S such that sa is clean (resp.. nil-clean). The ring A ...

• Developing a novel hybrid model based on deep neural networks and discrete wavelet transform algorithm for prediction of daily air temperature 

  Ghasemlounia, Redvan; Gharehbaghi, Amin; Ahmadi, Farshad; Albaji, Mohammad (Springer, JUN 2024)

  The precise predicting of air temperature has a significant influence in many sectors such as agriculture, industry, modeling environmental processes. In this work, to predict the mean daily time series air temperature in ...

• Classical 1-absorbing primary submodules 

  Ucar, Zeynep Yilmaz; Ersoy, Bayram Ali; Tekir, Unsal; celikel, Ece Yetkin; Onar, Serkan (MDPI, JUN 2024)

  Over the years, prime submodules and their generalizations have played a pivotal role in commutative algebra, garnering considerable attention from numerous researchers and scholars in the field. This papers presents a ...

• On weakly (m, n)-prıme ıdeals of commutatıve rıngs 

  Khashan, Hani A.; Yetkin Celikel, Ece (Korean Mathematical Society, May 2024)

  Let R be a commutative ring with identity and m, n be positive integers. In this paper, we introduce the class of weakly (m, n)-prime ideals generalizing (m, n)-prime and weakly (m, n)-closed ideals. A proper ideal I of R ...

• Patent classification with pre-trained Bert model 

  Kahraman, Selen Yücesoy; Durmuşoğlu, Alptekin; Dereli, Türkay (Gazi Universitesi, 2024)

  Patents are documents that help protect innovations in information technologies and grant special rights to the creator of these innovations for a certain period of time. While these rights give the patent owner the right ...

• Innovative diagnostic tool: Convolutional neural network for early fat malabsorption detection in pediatric patients with chronic diarrhea 

  Kiymik, Emre; Kiymik, Erkan; Basturk, Ahmet (Brıefland, APR 2024)

  Background: Chronic diarrhea in children poses a significant clinical challenge and can lead to adverse health outcomes. Among various causes, fat malabsorption is particularly concerning, as it may lead to inadequate ...

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