Help Of Various Algorithms Research Articles

Solution Of Capacitated Vehicle Routing Problem For A Food Delivery Company With Heuristic Methods

A food delivery company operates in Balıkesir performs to the distribution for the products of a certain brand from the central warehouse to the customers located in the central districts of Altıeylül and Karesi by using two vehicles with high capacity. The company visits customers on certain routes to meet their daily demands and is able to meet all demands at the end of the day. In this study, the distribution of the company's products was considered as a Vehicle Routing Problem, and it was aimed to reconstruct the distribution routes of the vehicles with the help of various algorithms and to provide cost savings in terms of the distance traveled. In order to solve the problem, first of all, an appropriate capacity assumption was made for the vehicles by considering the daily demand amounts of the customers. Under this assumption, first new customer groups to be visited in daily periods were created, and then new routes were obtained for the relevant customer groups. In this process, the problem was designed as a Capacity Constrained Vehicle Routing Problem, and the results obtained using Fisher and Jaikumar's Algorithm and Clarke and Wright's Savings Algorithm were evaluated. When the results obtained are compared with the current route status of the company, it has been determined that it is possible to achieve a high rate of improvement by using the routes determined by algorithms.

A Study Of AI Techniques In Image Processing

Digital image processing is the process of manipulating digital image with the help of various algorithms which will result into the removal of any distortion of images while transfer or while storage. The image processing techniques will includes various methods like image enhancement, image restoration image segmentation ,image compression ,image manipulation ,image generation, image –to-image translation. This paper studies about different image processing task that can be performed on different types of images so as to enhance or restore the images.

Yapay Zekânın Grafik Tasarım Alanında Kullanım Örneklerinin ve Gelecekteki Olası Rolünün İncelenmesi

Yapay Zekâ (YZ) kavramı günümüzde pek çok alanda karşımıza çıkmakta ve insanlar bilinçli ya da bilinçsiz şekilde yapay zekâdan faydalanmakta veya farkında olmadan gelişimine katkıda bulunabilmektedir. Müşteri hizmetleriyle iletişime geçildiğinde bizlere yardımcı olmaya çalışan sohbet robotları, çeşitli algoritmalar yardımıyla fotoğraf ve videolarımızı işleyen mobil uygulamalar, otonom sürüş özelliği ve park etme becerilerine sahip araçlar, finansal analiz yapan uygulamalar bunlara örnek gösterilebilir. Görüldüğü üzere yapay zekâ kullanımı her geçen gün farklı alanlara nüfuz etmektedir. Bunun doğal sonucu olarak tasarım endüstrisinde de yapay zekâ veya benzer altyapılardan faydalanılma yoluna gidilmiştir. Bu nedenle yapay zekânın grafik tasarım alanında kullanılması tasarım mesleğinin geleceği açısından önemli bir konuyu teşkil etmektedir. Çalışmada yapay zekânın tarihsel sürecinden kısaca bahsedilmiş, önemli görülen tanımlamalar yapılmış, grafik tasarım ve benzer alanlardaki güncel uygulama örnekleri incelenerek bilgi verilmeye çalışılmıştır. Nitel araştırma yönteminin kullanıldığı çalışmada gelecekte grafik tasarımcıların konumunun ne olabileceğine dair uzman görüş ve beklentilerinin betimsel analiz şeklinde aktarılması amaçlanmıştır. Araştırma sırasında ulaşılan uzman görüşlerine göre; yakın gelecekte yapay zekâya sahip robotların, grafik tasarımcıların yerini almasının beklenilmediği bulgusuna ulaşılmış ve yapay zekânın, tasarım endüstrisine özellikle grafik tasarım alanına olumlu katkılarda bulunabileceği sonucuna varılmıştır.

Medical card data imputation and patient psychological and behavioral profile construction

Missing data is a typical problem for many hands-on tasks and researches, which has required human intervention and contributed to an increase in errors during algorithms application that demand for a large number of metrics. Solving this particular problem is essential for medicine and healthcare, because it allows more easily diagnosing certain types of diseases, improving medical service quality, etc. The main approach for medical data imputation is to automate this process at all stages, beginning from finding the NA (Not Available) or missing Data, to the completion of the analysis and insertion of lost information entity. The proposed methods of mathematical computing and modeling, statistical functions, data flow diagrams during the imputation, and the use of computer programming tools should be implemented in the medical field to improve and address the missing data issue. The evaluation of key characteristics (algorithm’s error, number of imputed data, datasets dimensionality) helped to determine the factors for obtaining the most accurate result with the help of various algorithms and functions. The study is useful for the medical industry in general, since it will eliminate the missing data values in patient medical records by applying statistical methods and artificial intelligence, which will significantly shorten the automation of large datasets processing and facilitate their descriptive and exploratory analysis during further data discovery to identify certain patterns and features.

Survey of classification algorithm used in diagnosis of hearing disorders

In this paper, hearing disorders are classified into various categories according to the anatomy of the ear that explains various parts of ears. Hearing disorders are categorized according to part in which hearing problem comes. This paper helps in classifying hearing disorders with the help of various algorithms that are based on wavelet packets and support vector machine, artificial neural network, DPOAE, modified back propagation network. Besides of many algorithms available, it’s still very challenging to detect type of hearing disorder.