• Antenna gain and factor extraction of EMC test antennas by two- and three-antenna measurement methods in a comparative manner 

  Köse, Gökhan; Baghel, Lalit Kumar; Soylu, Yusuf; Sis, Seyit Ahmet; Coşar, Coşkun; Kumar, Suman (Institute of Electrical and Electronics Engineers Inc., 2023)

  The two and three-antenna measurement methods are well-known techniques for characterizing the antenna gain and antenna factor and are often utilized for calibrating the test antennas. This paper presents the antenna gain ...

• An environmental decision support system for determining on-site or off-site additive manufacturing of spare parts 

  Demiralay, Enes; Razavi, Seyed Mohammad Javad; Küçükkoç, İbrahim; Peron, Mirco (Springer Science and Business Media Deutschland GmbH, 2023)

  Effective spare part management can increase the competitiveness of supply chains, but the intrinsic characteristics of spare parts (e.g., intermittent demands, dependence on suppliers) make their effective management ...

• A focused review of the hydrogen storage tank embrittlement mechanism process 

  Okonkwo, Paul; Barhoumi, El Manaa; Ben Belgacem, Ikram; Mansir, Ibrahim B.; Aliyu, Mansur; Emori, Wilfred; Uzoma, Paul C.; Beitelmal, Wesam H.; Akyüz, Ersin; Radwan, Ahmed Bahgat (Pergamon-Elsevier Science Ltd, 2023)

  Hydrogen embrittlement is a widely known phenomenon in high-strength and storage materials. Hydrogen embrittlement is responsible for subcritical crack growth in material, fracture initiation, subsequent loss in mechanical ...

• Predicting annus mirabilis with machine learning: Turkish movie industry 

  Topal, Kamil; Günhan, Ali Can; Bağcı, G. Barış (Springer, 2023)

  There has recently been an increasing interest in the quantification of success in different fields of human activities. However, most of the research in this field solely focuses on success as a collective phenomenon ...

• Physicochemical characteristics and structural changes of fermented faba bean extrudates prepared by twin-screw extrusion 

  Mete, Aylin Altan; Yağcı, Sibel (Elsevier Sci Ltd, 2023)

  In this study, fermented faba bean blends with different locust bean gum (LBG) contents were processed in a co-rotating twin-screw extruder. The effects of extrusion process variables and the LBG level on physicochemical, ...

• Crosstalk reduction in coupled microstrip lines using TT-shaped DMS approach 

  Baghel, Lalit Kumar; Kumar, Suman; Sis, Seyit Ahmet; Kim, Jingook (IEEE- Inst Electrical Electronics Engineers Inc, 2023)

  The electromagnetic coupling between closely placed microstrip lines in compact and dense designs causes crosstalk which is undesired and hence should be minimized. In this context, several approaches have been evaluated ...

• Effect of portland cement on the development of unfired compressed earth bricks; special application as construction material in poor territory of Pakistan 

  Arbab, Aafeer Ahmad; Yousafzai, Naveed Alam; Khan Khattak, Noor Saeed; Ullah, Atta; Ur Rahman, Samir (Jihad Daneshgahi, 2023)

  Compressed Earth Bricks (CEBs) are the main constituents used in building materials like the pillar that holds the whole building. Scientists are struggling to produce stronger materials with the least cost and much more ...

• Calculations of internal heat gain from occupants affecting the energy consumption of airport buildings 

  Kon, Okan; Caner, İsmail (Inderscience Enterprises Ltd, 2023)

  In complex structures such as airports, when calculating metabolic heat gains from humans, convection and evaporation heat gains are taken into account, and then heat gains by convection, radiation, and evaporation from ...

• Fractional-Order sliding mode control of a 4D memristive chaotic system 

  Gökyıldırım, Abdullah; Çalgan, Haris; Demirtaş, Metin (Sage Publications Ltd, 2023)

  Chaotic systems depict complex dynamics, thanks to their nonlinear behaviors. With recent studies on fractional-order nonlinear systems, it is deduced that fractional-order analysis of a chaotic system enriches its dynamic ...

• The effects of accelerated storage on quality of cake prepared using hydrothermally infrared treated flours 

  Korkmaz, Fatma; Tuncel, Necati Barış; Tok, Özlem (Pergamon-Elsevier Science Ltd, 2023)

  This study aimed to determine some quality parameters, including moisture, weight loss, volume, color, and textural properties of cakes prepared using IR treated flours, and to investigate the effects of storage (30 days) ...

• Turkish bee pollen: Composition, regional discrimination and polyphenol bioaccessibility 

  Mutlu, Ceren; Erbaş, Mustafa (Elsevier, 2023)

  Bee pollen has received significant attention due to its high nutritional value and the phenolic composition responsible for its bioactivity. The current research aims to investigate the phenolic composition and antioxidant ...

• Investigation on fin cooling for lithium-polymer batteries 

  Yaşar, Onur; Ekici, Selçuk; Yalçın, Enver; Karakoç, Tahir Hikmet (Emerald Publishing, 2023)

  Purpose: Lithium-polymer batteries have common usage in aviation industry especially unmanned aerial vehicles (UAV). Overheating is a serious problem in lithium-polymer batteries. Various cooling methods are performed to ...

• Investigating adaptive hedging policies for reservoir operation under climate change impacts 

  Okkan, Umut; Fıstıkoglu, Okan; Ersoy, Zeynep Beril; Noori, Ahmad Tamim (Elsevier B.V., 2023)

  Concerns about whether the reservoirs against climate change will be able to fulfill their missions in the future have revealed the necessity of adapting their operations to changing circumstances. On the other hand, the ...

• Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin 

  Niazkar, Majid; Piraei, Reza; Türkkan, Gökçen Eryılmaz; Hırca, Tuğçe; Gangi, Fabiola; Afzali, Seied Hosein (Springer Wien, 2023)

  This study aims to assess the Eastern Black Sea Basin drought conditions. For this purpose, the trend changes in SPI values of 6, 9, 12, and 24 months using innovative trend analysis were examined. Additionally, four machine ...

• An efficient classification of rice variety with quantized neural networks 

  Tasçı, Mustafa; İstanbullu, Ayhan; Kosunalp, Selahattin; Iliev, Teodor; Stoyanov, Ivaylo; Beloev, Ivan (MDPI, 2023)

  Rice, as one of the significant grain products across the world, features a wide range of varieties in terms of usability and efficiency. It may be known with various varieties and regional names depending on the specific ...

• Human-Robot collaboration in the next generation manufacturing and logistics system 

  Ponnambalam, S. G.; Chang, Qing (Cindy); Zhong, Ray Y. Y.; Küçükkoç, İbrahim; Janardhanan, Mukund Nilakantan (Springer, 2023)

  Digitalization, robotics and automation systems have become indispensable components of today’s smart production and logistics systems with Industry 4.0. This transformation has revealed a new era of industrialization ...

• The effect of different pre-treatments on unformulated pulse-based milk analogs: physicochemical properties and consumer acceptance 

  Tuncel, Neşe Yılmaz; Andaç, Ali Emre; Kaya, Havva Polat; Korkmaz, Fatma; Tuncel, Necati Barış (Springer India, 2023)

  This is the first part of a study on developing pulse-based milk analogs using chickpea, faba bean, and cowpea as raw materials. The objectives of the present study were to determine the processing conditions for pulse-based ...

• Measurement of polycyclic aromatic hydrocarbons in aroma-flavored olive oils produced using microwave and traditional maceration methods 

  Kıralan, Mustafa; Çakıcı, Hakkı Fırat; Toptancı, İsra; Ramadan, Mohamed Fawzy (Springer-Verlag Italia SRL, 2023)

  Flavored olive oils were generally produced with the maceration method, which has disadvantages such as taking a long time and making the tanks unusable for a long time. The new techniques could produce favored oils to ...

• Post-earthquake strengthening of RC coupling beams with GFRP Wrapping: Experimental investigation 

  Eser, Namık; Töre, Erkan; Bal, İhsan Engin (MDPI, 2023)

  This research aims to address a post-earthquake urgent strengthening measure to enhance the residual seismic capacity of earthquake-damaged reinforced concrete wall structures with coupling beams. The study consists of a ...

• Exploring deep learning for adaptive energy detection threshold determination: A multistage approach 

  Bedir, Oğuz; Ekti, Ali Rıza; Özdemir, Mehmet Kemal (MDPI, 2023)

  The concept of spectrum sensing has emerged as a fundamental solution to address the growing demand for accessing the limited resources of wireless communications networks. This paper introduces a straightforward yet ...

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