International Research Journal of Computer Science
Articles in this Issue
Sustainable Solution in Solid Waste Management
Managing solid waste (SWM) has become an increasingly urgent issue in both urban and rural areas around the globe. The rapid growth of cities, coupled with population expansion and industrialization,...
Handwritten Digit Classification Using CNN with MNIST Dataset
Classifying handwritten digits is a crucial issue in computer vision and machine learning, and it serves as the foundation for many real-world applications like automated form processing, digitalizing...
Video Conferencing and Live Streaming Platform Using Web RTC
People must communicate with one another for a variety of reasons, including personal and professional ones. Depending on the circumstances, an in-person meeting might not be feasible, which is more c...
Machine Learning and Secure Image Transmission for Disease Forecasting
In today’s era of information technology, the rapid expansion of the Internet, especially in the realm of electronic healthcare, has become both feasible and widespread. Internet-enabled electronic he...
Tsunami Alert and Detection System Using IoT
Internet of Things (IoT) is the connectivity between the numbers of devices in the network. In which different types of devices, sensors, software, embedded devices are connected to each other for inf...
Enhancement of Sales Forecasting and Prediction with Machine Learning Methods
Accurate sales forecasting is essential for building an effective business strategy. It empowers companies to make smarter decisions that keep inventory in check, manage resources wisely, and adapt to...
A Water Pollution Monitoring System Based on IoT
In the 21st century, there were lots of inventions, but at the same time were pollutions, global warming and so on are being formed, because of this there is no safe drinking water for the world’s pol...
Detecting Adversarial ML Threats in Agile Workflows : A Cybersecurity Lens
The use of machine learning (ML) in agile software development is expanding, creating new cybersecurity risks, especially adversarial ones, which target weaknesses in its models. Adversarial ML attack...