Individuals with special needs (IBK) are defined as people or children who have limitations in cognitive, physical, and emotional functions that hinder the individual's ability to develop, either classified learning difficulties, ADHD, mental retardation, physical-sensory disorders, speech language autism behavioral disorders. This condition requires IBK get a intervention when looking for work...

ادغام داده‌ها بین حسگرهای مختلف می‌تواند موجب استخراج اطلاعات با دقت و کیفیت بالاتر گردد بهبود تشخیص تهدیدهای هسته‌ای را به همراه داشته باشد. در این تحقیق، ردیابی چشمه متحرک استفاده از تلفیق داده­های سیستم آشکارساز پرتوی دوربین نظارتی مورد مطالعه قرار گرفت است. بدین منظور الگوریتمی جهت ایجاد همبستگی تصاویر دریافتی توسط شمارش طراحی شده است تا مسیر حرکت جسمی که بیش­ترین ثبت آشکارسازی دارد عنوان ا...

COVID-19 pandemi sürecinde emzirmenin anne ve bebek açısından güvenliği en sık merak edilen konulardandır. Uluslararası kılavuzlar, annelerin olsun veya olmasın, uygun önlemlerle emzirmeye devam etmesini tavsiye etmektedir. Bu makalenin amacı emzirmeyi sürdürmek desteklemek için İnsan Bakım Kuramı’na dayalı bir uygulama örneği oluşturmaktır. Pandemi sürecinden olumsuz etkilenen hem kendisi bebe...

Different cultivars of seeds may have different properties. Therefore, distinguishing be important for seed processing and product quality. This study was aimed at revealing the usefulness innovative models developed based on selected image textures built using traditional machine algorithms cultivar classification quince seeds. The belonging to four ‘Uspiech’, ‘Leskovac’, ‘Bereczki’, ‘Kaszczen...

In the health care monitoring, data mining is mainly used for classification and predicting the diseases. Various data mining techniques are available for classification and predicting diseases. This paper analyzes and evaluates various classification techniques for decision support system and for assisting an intelligent health monitoring system. The aim of this paper is to investigate the exp...

BACKGROUND The paper presents a thorough analysis of the influence of the number of negative training examples on the performance of machine learning methods. RESULTS The impact of this rather neglected aspect of machine learning methods application was examined for sets containing a fixed number of positive and a varying number of negative examples randomly selected from the ZINC database. A...

The machine learning-based virtual screening of molecular databases is a commonly used approach to identify hits. However, many aspects associated with training predictive models can influence the final performance and, consequently, the number of hits found. Thus, we performed a systematic study of the simultaneous influence of the proportion of negatives to positives in the testing set, the s...

The abstract is to Recognition of handwritten Devanagari numerals has many applications especially in the field of postal automation, document processing and so on. Due to its vast applications, many researchers are actively working towards development of effective and efficient hand written character/numeral recognition. Devanagari script is widely used script in Indian sub-continent, also dev...

There are a lot of diseases that carry death risk when these diseases are infected to human body, if early measures are not taken. Thyroid cancer is one of them. In USA, number of thyroid cancer cases resulted in death in only 2013 shows necessity of early fight with this disease. This study aims performance improvement in diagnosis of thyroid cancer with machine learning techniques. Study cons...