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Steganalysis is the general term for analytical and investigative methods aimed at detecting the presence of data hidden using steganography techniques in digital media. While steganography aims to conceal information within other data without drawing attention, steganalysis seeks to uncover the digital traces left by such concealment.【1】 Thus, the two approaches represent complementary aspects of the processes of concealing and detecting hidden information in digital environments. Today, variou

In recent years, artificial intelligence and machine learning have become among the most discussed topics in healthcare. Artificial intelligence applications have entered our lives across numerous fields, from image analysis systems used in cancer screening to algorithms that predict risks in intensive care unitsartificial intelligence applications. Some studies have shown that artificial intelligence can achieve accuracy rates close to those of expert physicians in diagnosing certain diseasesAn

Faster R-CNN is a two-stage deep learning architecture developed by Shaoqing Ren, Kaiming He, Ross Girshick and Jian Sun for object detection in images. The model integrates the processes of identifying object candidate regions and classifying these regions within a single convolutional neural network. This approach transforms region proposal generation into a learned operation within the network, offering a more integrated structure compared to previous methods. Faster R-CNN was developed as an

Country Codes are sequences of letters or numbers used to identify, classify, and facilitate communication regarding countries and regions at international or national levels. These codes were developed to ensure standardization and comparability across various fields. History The emergence of country codes is directly linked to the development of international trade, diplomatic relations, and communication technologies. By the late 19th century, the widespread adoption of postal and telegraph n

Econometrics is a discipline that applies mathematical and statistical methods to analyze economic data and test economic theories. Econometrics, a powerful vehicle for examining and forecasting economic phenomena, serves as a vital important for policymakers, businesses and academics. In particular, time series analysis is one of the most important areas of econometrics, enabling forecasts about the future by examining the dynamics of economic variables over time. Econometrics: The Mathematical

Predictive Artificial Intelligence What will happen in our next moment? The desire to predict the future has become one of humanity’s oldest and strongest inclinations, even regarded as a necessity for survival beyond mere passion. From weather forecasts to global economic fluctuations, from investment decisions to career planning, the effort to anticipate what has not yet occurred underlies all our daily and strategic choices. Recent AI predictions, however, resemble the forecasts of experts fr

2026 Ebola Outbreak is an acute viral hemorrhagic fever outbreak triggered by the Bundibugyo ebolavirus species, affecting the border regions between the Democratic Republic of the Congo (DRC) and Uganda in East and Central Africa. 【1】 The outbreak entered the agenda of international health authorities in May 2026 and rapidly evolved into a regional risk 【2】. International operations to combat the outbreak have been shaped around the dissemination of diagnostic methods, the acceleration of clini