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Muhammad Imran Munawar , Imtiaz Alam, Muhammad Sharjeel Ali
An efficient energy prediction model for solar energy power system using Artificial Intelligence technique
Energy

Prediction of Solar power generation plays an important role to improve the efficiency of economic dispatch function and reduce the dependence on foss...

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The paper, titled "An efficient energy prediction model for solar energy power system using Artificial Intelligence technique," addresses a critical c...

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M. T. Acar
Effect of potassium fluoride on the structure and corrosion properties of anodic coatings on Ti6Al4V alloy
Biomedical

In this study, KF film was obtained by anodization method on Ti6Al4V material, which is preferred to be used in many areas such as the defense industr...

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This abstract presents a timely investigation into enhancing the surface properties of Ti6Al4V, a critically important alloy widely utilized in defens...

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Emin Farzaliyev, Qusay Saihood, Emrullah Sonuç
Çocuklarda Anemi Hastalığının Teşhisinde Topluluk Öğrenme Yöntemlerinin Kullanılması
Informatics

Okul öncesi çocukların en yaygın hastalığı, özellikle gelişmekte olan ülkelerde, anemi olarak bilinmektedir. Anemi genellikle kötü beslenme ile ilişki...

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Anemia in preschool children remains a significant public health challenge, particularly prevalent in developing countries and often linked to poor nu...

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Edip Taşkesen, Hakan Dumrul, Serdal Damarseçkin, Hüseyin Gürbüz, Elif Nur Bilen
Araba Radyatöründeki Nanoakışkanların Isı Transfer Performansı
Automotive

- Nanoakışkanların üstün termofiziksel, reolojik ve tribolojik özelliklerinden dolayı, otomobillerde ısı transferi ve yağlama gibi uygulamalarda kulla...

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This paper, "Heat Transfer Performance of Nanofluids in Car Radiators," investigates a highly pertinent area within automotive thermal management. The...

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Ömer SEÇGİN, Hüseyin KAHRAMAN, İdris CESUR
Karbon Fiber Filament Kullanılan Eklemeli İmalat İşleminde Yüzey Pürüzlülüğü Optimizasyonu
Engineering

Günümüzde, 3D yazıcı teknolojisi, endüstriyel üretimden kişisel kullanıma kadar birçok alanda kullanılmaktadır. Bu teknolojinin kullanımı hızla artmak...

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This study tackles a highly relevant and pressing issue in the field of additive manufacturing: the optimization of surface roughness when utilizing c...

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Şengül DOĞAN, Burak TAŞCI, Türker TUNCER
Detection of acute lymphocytic leukemia (ALL) with a pre-trained deep learning model
Biomedical

Acute Lymphocytic Leukemia (ALL) is a type of cancer caused by immature lymphocytes in the bone marrow. Acute Leukemia is common in both children and...

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This paper presents an intriguing approach for the automated detection and classification of Acute Lymphocytic Leukemia (ALL) using peripheral smear i...

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Kübra Kaya, Rüstem Binali, Mustafa Kuntoğlu
Investigation of The Chip Formed as a Result of Machining of GGG50 Casting Material by Turning Method
Mechanical

– In this study, the relationship between the chips formed during the machining of GGG50 material by turning method in different parameters was invest...

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This study presents a pertinent investigation into the chip formation characteristics during the turning of GGG50 spheroidal graphite cast iron, a mat...

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Mustafa Çiçekler, Ahmet Tutuş
Overview of Quality Control in the Paper Industry
Operations

The purpose of this study is to provide an overview of quality control in the paper industry. Wood preparation, pulping, bleaching, and papermaking ar...

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The study, "Overview of Quality Control in the Paper Industry," sets out to provide a comprehensive survey of quality control practices within this cr...

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Halit Çetiner, Sedat Metlek
Classification of Weather Phenomenon with a New Deep Learning Method Based on Transfer Learning
Informatics

Recognition of weather conditions, which have an important effect on the planning of our daily lives, affects many events from transport to agricultur...

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This paper addresses the critical problem of automatic weather phenomenon classification from aerial images, a task with significant implications acro...

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Kürşat Can Ateş, Sakin Vural Varlı
Madra Dağı (Balıkesir) Yöresinin Staphylinidae (Coleoptera) Türlerinin Çukur Tuzak Yöntemiyle Belirlenmesi
Zoology

– Bu çalışma 2010-2011 yılları arasında çukur tuzak yöntemi kullanılarak Balıkesir il sınırları içerisinde bulunan Madra Dağı Yöresinin Staphylinidae...

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The study titled "Determination of Staphylinidae (Coleoptera) Species in the Madra Mountain (Balıkesir) Region using Pitfall Trap Method" presents a f...

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