4 th International Students Science Congress Proceedings Book

Çevrimiçi ( XIII, 495 Sayfa ; 26 cm.).

Turkish Character Usage in Text Classification

Ali Aycan KOLUKISA

Abstract This study is prepared to examine the effects of Turkish character usage on text data by using multiple classifiers. Regression Classifiers, SVM, NB-Classifiers, and ANN are frequently used in supervised learning methods, especially in classification problems. Regression classifiers generally come in two types: as Linear and Logistic. There are also more than one type of Naive Bayes classifier. In our study, after mentioning the properties of Linear Regression and Logistic Regression classifiers in general terms, why Logistic Regression is much more suitable for this study is explaine ...Daha fazlası

7th International Students Science Congress: Proceedings, 12-13 May 2023 = 7. Uluslararası Öğrenciler Fen Bilimleri Kongresi: Tam Metin Bildiriler Kitabı, 12-13 Mayıs 2023

Değerli Katılımcılar, Meslektaşlarım ve Uluslararası Öğrenciler, 7. Uluslararası Öğrenciler Fen Bilimleri Kongresi Tam Metin Kitabını etkinliğin yazarlarına ve katılımcılarına sunmak bizler için büyük bir onur ve ayrıcalıktır. Bunu yararlı, heyecan ve ilham verici bulacağınızı umuyoruz. Son altı yıldır çeşitli bilim dallarında çalışan genç uluslararası araştırmacıları bir araya getirmek amacıyla kongrelerimizi düzenledik ve bu hepimizi gerçekten motive etti. Geçen yıl olduğu gibi bu yıl da kongremizi hibrid bir şekilde düzenledik. Kongrenin ilk günü olan 12 Mayıs’ta, 200'den fazla katılımcının ...Daha fazlası

Modeling and Design Optimization to Determine the Mechanical Properties of a Recent Composite

Naciye Burcu KARTAL

This study proposes an appropriate optimization model for determining a new composite material's mechanical properties by neuro-regression analysis. This new composite material is obtained by combining hemp and polypropylene fibers. It was developed for the sector of upholstered furniture. First, different multiple regression models have been tried for input and output values. The R2 training, R2 testing, R2 validation, and minimum, maximum values were determined for each model. Then, the stochastic optimization approach is used to predict and optimize the mechanical properties of the new bioc ...Daha fazlası

Uluslararası Dijital Çağda Hukuk Sempozyumu Özet Bildiri Kitabı

Değerli Hukuk Araştırmacıları; Gelişim ve değişim olgusu üzerine inşa edilen yeni yüzyıl, diğer çalışma alanlarını olduğu gibi hukuk sahasını da doğrudan etkilemiştir. Dijitalleşen dünyamız ve geleceği şekillendirecek sistemin anahtarı olan dijital dönüşüm; hukukun, tüm alt dallarıyla birlikte çağı ve çağın gereklerini yakalaması zorunluluğunu ortaya çıkarmıştır. Dijitalleşmenin hukuk alanında yarattığı etkileri ulusal ve uluslararası boyutta değerlendirmek, güncel sorunları tartışmak ve bu sorunların çözümü için yeni politikalar geliştirmek; hukukun, yaşamımızın her alanında varlık gösteren t ...Daha fazlası

Medical Biology and Genetics Laboratory Book

TÜLAY KILIÇASLAN AYNA | MUSTAFA SOYÖZ | MELEK PEHLİVAN

80 Pages : İllustrations ; 26 cm.

Abstract Book of 3. International Conference on Medical Devices (ICMD’2020)

3rd International Conference on Medical Devices, ICMD’2020, is organized by Alanya Alaaddin Keykubat University (ALKU), Akdeniz University (Akdeniz U.), and Izmir Katip Celebi University (IKCU) with international participation on September 28-29, 2020. All presentations were online because of the pandemic. ICMD conferences (where former abbreviation was TIPCIH) bring together the students, users, manufacturers, researchers, and public representatives working in the field of medical device technologies. It also aims to share the information investigated from scientific researchs on the medical ...Daha fazlası

A Novel, Nelder-Mead Optimization Approach, based on Neuro-regression modeling for the Energy Efficiency Parameters of End Milling Process

ŞEYDA İŞBİLİR

Global crises are increasing day by day due to the rapid depletion of energy supplies around the planet. One of the goals of engineering is to prevent this situation by developing innovative solutions to this rapid energy consumption that has disappeared in the world. A solution could be to reduce the energy consumption of the machines that are used during production. In this study, a new design technique based on the neuro-regression approach and non-linear regression modeling was offered as an alternative to Taguchi design to reduce energy consumption. Thus, a cutting parameter optimization ...Daha fazlası

Abstract Book of 4. International Conference on Medical Devices (ICMD’2021)

Çevrimiçi (xviii, 39 sayfa)

Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis

LEVENT AYDIN

Kaynakça var.

Proceedings of 3. International Conference on Artificial Intelligence towards Industry 4.0 (ICAII4’2020)

Çevrimiçi ( XIV, 67 pages)

A Flower Status Tracker and Self Irrigation System (FloTIS)

Rumeysa KESKİN | Furkan GÜNEY | M. Erdal ÖZBEK

The Internet of Things (IoT) provides solutions to many daily life problems. Smartphones with user-friendly applications make use of artificial intelligence solutions offered by deep learning techniques. In this work, we provide a sustainable solution to automatically monitor and control the irrigation process for detected flowers by combining deep learning and IoT techniques. The proposed flower status tracker and self-irrigation system (FloTIS) is implemented using a cloud-based server and an Android-based application to control the status of the flower which is being monitored by the local ...Daha fazlası