• Gözlemsel Kozmoloji ve Karanlık Madde Özetkileşimleri 

  Çamlıbel, Ali Kazım (2019)

  24 Şubat 2024’de ansızın aramızdan ayrılmasıyla hepimizi derinden üzen Prof. Dr. Durmuş Ali Demir, Yüksek Enerji Fiziği alanında çalışan ve bu alana yaptığı katkılarıyla uluslararası düzeyde tanınan bir fizikçiydi. ...

• Pantheon update on a model-independent analysis of cosmological supernova data 

  Çamlıbel, Ali Kazım; Semiz, İbrahim; Feyizoǧlu, M. Akif (IOP Publishing, 2020)

  We present an update of our previous work, necessitated by availability of a significantly improved dataset. The work is a model-independent analysis of the cosmological supernova (type Ia) data, where function families ...

• From Quantum Mechanics, Classical Mechanics and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases 

  Habiboğlu, Mehmet Gökhan (2021)

  This volume provides computational methods and reviews various aspects of computational studies of protein aggregation. Chapters discuss the relationship between protein misfolding and protein aggregation, methods of ...

• Glycopeptides by quantum chemistry and artificial intelligence 

  Habiboğlu, Mehmet Gökhan (2018)

  Glycation destroys or impairs the biological function of peptides and proteins. The bacteria cell wall polymers consist of GlcNAc, which is crosslinked with oligopeptides. While glutamine is a nonessential amino acid ...

• Katkı malzemelerinin polimerik yalıtkanların manyetik geçirgenliğine etkisinin incelenmesi 

  Nişancı, Salih (2020-2021)

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• A Machine Learning Approach to Predict the Sepsis Status: Analyzing the Connection Between Relevant Laboratory Values and Other Physiological Measurements Obtained in Intensive Care Unit 

  Moghaddamnia, Sanam; Bozkurt, Mehmet Recep (2021)

  Sepsis is a life-threatening disease caused by the body's response to an infection, which leads to tissue damage, organ failure and death. According to literature, about 1.7 million Americans each year suffer from sepsis ...

• On the efficiency of LSTM in classifying musical impressions from EEG recordings 

  Kaya, Burak; Habiboğlu, Mehmet Gökhan; Moghaddamnia, Sanam (2023)

  The objective of this study is the classification of musical impressions with long short-term memory (LSTM) approach using EEG recordings of 20 subjects, while listening to different music genres. For this purpose, a deep ...

• Parameter and feature selection in decision trees for the classification of musical impressions from EEG records 

  Ozaltun, Emir Atakan; Moghaddamnia, Sanam; Habiboğlu, Mehmet Gökhan (2023)

  Reliable classification of different emotions is an important issue for emotional interaction between humans and computers. Therefore, this study aims at assessing the performance of decision trees in classifying musical ...

• A mathematical computer model for estimating phase weight/ atomic fractions for iron slags’ system (SiO2-Al203-CaO-MgO) at subsolidus temperatures 

  Yelkenci, Tanju; Erkmen, Z. Engin (Springer, 2023)

  In this study, the 3 dimensional description of the quaternary subsolidus slag system aluminasilicacalciamagnesia is evaluated using Mathematica programming based on previous experimental research data. The lever rule ...

• Ayrık sinyaller 

  Civelek, Cem (Palme Yayınevi, 2022)

  Ayrık Sinyaller kitabında ülkemiz öğrencilerine ana dillerinde temel bilgi vermeyi hedefle miştir. Ana dilimizde yeterli kaynak olmadığı ve öğrencilerin yabancı dil bilgilerinin yetersizliği de göz önüne alındığında ana ...

• Devre analizi 1 

  Civelek, Cem (Seçkin Yayıncılık, 2022)

  Uzun yıllar Almanya'da akademisyenlik yapan, sonrasında Türkiye'de akademik kariyerine devam eden Prof. Dr. Cem CİVELEK'in kaleme aldığı kitap, yazarın ders anlatım tecrübesinden ve kendisine gelen soruların ve sorunların ...

• Devre analizi 2 

  Civelek, Cem (Seçkin Yayıncılık, 2022)

  Uzun yıllar Almanya'da akademisyenlik yapan, sonrasında Türkiye'de akademik kariyerine devam eden Prof. Dr. Cem CİVELEK'in kaleme aldığı kitap, yazarın ders anlatım tecrübesinden ve kendisine gelen soruların ve sorunların ...

• Weak field and slow motion limits in energy–momentum powered gravity 

  Çamlıbel, Ali Kazım; Akarsu, Özgür; Katırcı, Nihan; Semiz, İbrahim (Elsevier BV, 2023)

  We explore the weak field and slow motion limits, Newtonian and Post-Newtonian limits, of the energy–momentum powered gravity (EMPG), viz., the energy–momentum squared gravity (EMSG) of the form f (TµνT µν ) = α(TµνT µν ...

• Investigation of the effect of layered structure on partial discharges in transformer pressboard insulator 

  Uğur, Mukden; Atalar, Fatih; Önhon, N.Özben (Springer, 2023)

  The dielectric performance of pressboards impregnated with mineral oil is one of the key points in regard to the quality of the transformer’s working life. Partial discharges (PDs) occurring in the pressboard can cause ...

• Electromagnetic investigation of neuron growth by using pulsed electromagnetic field stimulation 

  Kara, S.; Uzunoğlu, C. P.; İşçi, E. T.; Atalar, F.; Uğur, Mukden (Elsevier, 2023)

  Electromagnetic field (EMF) applications for humans have been widely used for medical therapy for a long time. Various nerve diseases such as complex regional pain syndrome, cerebral palsy and spinal cord injuries may occur ...

• Functional quality assessment of whole-body vibration training devices based on instantaneous amplitude and frequency of photogrammetric vibration measurements 

  Moghaddamnia, Sanam; Rofallski, Robin; Luhmann, Thomas; Kaeding, Tobias S. (Medical Engineering & Physics, 2023)

  The practical use of whole-body vibration training (WBVT) and such research may be negatively influenced by generated vibrations with amplitudes, frequencies, and/or patterns that deviate from preset adjustments on WBVT ...

• A stacked multi-sensor platform for real-time MRI guided interventions 

  Zolfaghari, Parviz; Erden, Oğuz K.; Tümer, Murat; Yalçınkaya, Arda D.; Ferhanoğlu, Onur (Elsevier, 2023)

  We present a stacked temperature, pressure, and localization platform, targeted for minimally invasive surgical and diagnostic applications under Magnetic Resonance Imaging. The platform comprises a micro-fabricated ...

• Investigation of the effects of additives on the electrical and magnetic properties of polyester resin 

  Nişancı, Salih; İpekoglu, Mehmet; Nişancı, Muhammet Hilmi; Karhan, Mustafa; Uğur, Mukden (Istanbul University Cerrahpaşa, 2022)

  Polymers are widely used as insulation materials in the electrical industry because their existing electrical and mechanical properties can be altered by adding different types of additives. Successful prediction of the ...

• Observability, controllability and stability of a nonlinear RLC circuit in form of a Duffing oscillator by means of theoretical mechanical approach 

  Civelek, Cem (Slovak University of Technology in Bratislava, 2022)

  In this research article, observability, controllability and stability of a nonlinear RLC circuit with a nonlinear capacitor is investigated as a Duffing oscillator beginning with the dissipative equations of generalized ...

• Physical system analysis related to observability, controllability and stability using its equations of generalized motion and canonical equations both in dissipative forms 

  Civelek, Cem; Suesse, Roland (Springer, 2022)

  Using tensorial variables in contravariant, covariant forms and different formulation types, the reader is informed about a coupled physical nonlinear system with f degree of freedom. f second-order differential equations ...

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