The increasing importance of Android devices in our lives brings with it the need to secure personal information stored on these devices, such as contact details, documents, location data, and browser data. These are often targeted by attacks malware designed steal this In response, work takes a novel approach detection integrating deep learning traditional machine algorithms. An extensive experimental study was conducted using DroidCollector network traffic analysis dataset. Eight different...

Abstract Early diagnosis-treatment of melanoma is very important because its dangerous nature and rapid spread. When diagnosed correctly early, the recovery rate patients increases significantly. Physical methods are not sufficient for diagnosis classification. The aim this study to use a hybrid method that combines different deep learning in classification investigate effect optimizer used on performance. In study, Melanoma detection was carried out from skin lesions image through...

Wheat, one of the most important food sources in human history, is cereal crops produced and consumed our country. However, if diseases such as yellowpas, which risk factors wheat production, cannot be detected a timely accurate manner, situations decreased production may encountered. For this reason, it more advantageous to use decision support systems based on deep learning detection classification agricultural products instead experts who perform processes longer time have higher error...

Smartphones have started to take an essential place in every aspect of our lives with the developing technology. All kinds transactions, from daily routine work business meetings, payments, and personal be done via smartphones. Therefore, there is a significant amount very important user information stored these devices which makes them target for malware developers. For reasons, machine learning (ML) methods been used detect malicious software on android quickly reliably. In this study,...

Abstract Assessing the quality of agricultural products holds vital significance in enhancing production efficiency and market viability. The adoption artificial intelligence (AI) has notably surged for this purpose, employing deep learning machine techniques to process classify product images, adhering defined standards. This study focuses on lemon dataset, encompassing ‘good’ ‘bad’ classes, initiate by augmenting data through rescaling, random zoom, flip, rotation methods. Subsequently,...

With the gradual development of technology, use digital social networks has becomewidespread. As a result this increased use, information sharing process accelerated and increased.This created an enormous amount data on networks. increasing ofdata, it made possible to make inferences about people, products, companies many other areas.Various fields study have emerged analyze data. One these issentiment analysis. Sentiment analysis is from different sources such as text, sound orimage by...

Viticulture plays an important role in agriculture. Farmers prefer grapevine cultivation because not only its fruit but also leaves are used various fields. Both the use and trade of within country is source income. Grapevine leaves, which grown almost all countries as edible, vary terms species. Determining cultivating species according to their suitability productivity important. In this study, artificial intelligence methods were classify leaf The dataset consisting five different...

Abstract Agricultural product quality assessment is important for the efficiency and marketability of production. Quality improves industry standards, increasing sales reducing crop loss. Maintaining paramount importance all processes, from production to sales. Artificial intelligence has recently been frequently used in agricultural field. Both literature practice, deep learning machine methods are process images products evaluate their quality. They classified according specified...