Latest Communications of International Proceedings articles

MLOps is a rapidly growing field in which optimizing resource allocation has become a key challenge. Despite the growing popularity of MLOps in production environments, there is a lack of articles in the literature that propose formal mathematical models for MLOps processes. This gap limits…

This paper presents the development and deployment of a web-based platform designed to improve the process of managing and evaluating programming assignments in academic setting. The system integrates three components: assignment creation, automated grading, and code similarity detection — all within a unified, user-friendly interface.…

Scheduling is a multidimensional challenge for many organisations due to the numerous constraints that need to be considered during planning. The problem becomes even more complex when the data for the scheduling process is scattered, leading to time-consuming and labor-intensive manual work. This paper highlights…

The paper presents optimization experiment performed on custom implementation of multi-sampling strategy approach for Rapidly exploring Random Tree path planning algorithm. Implementation of algorithm, of which detailed explanation and pseudocode are provided, was developed to perform with increased robustness and intended for dynamic environment navigation…

Automatic text summarization is indispensable for navigating today’s information overload, yet many organisations cannot afford to train or serve the latest Transformer models. Although additive (Bahdanau) and dot-product (Luong) attention remain the cornerstones of recurrent sequence-to-sequence (Seq2Seq) summarizers, the literature still lacks a controlled, head-to-head…

In this work, we present some best practices in the development of arcade games. Creating computer games may be a profitable business. Additionally, it can be a job that is done with passion and commitment. We find that it is worth discussing about some recommended…

This research focuses on integrating Speech Emotion Recognition (SER) with AI chatbots to create a system that is more emotionally intelligent and responsive. Using advanced deep learning techniques such as Convolutional Neural Networks (CNNs), the study enhances the accuracy and robustness of SER models in…

Traffic sign detection is a critical computer vision task for driver assistance and autonomous vehicles. In this paper, we perform a comparative analysis of deep learning architectures for traffic sign detection, focusing on state-of-the-art convolutional neural network (CNN) models. We implement the YOLOv3 object detection…

Emergency response procedures for the victims of natural disasters require information about the number and location of victims and their needs or injuries. Unmanned Aerial Vehicles (UAVs) can efficiently reconnaissance the disaster area. The sum of UAVs’ routes has to cover the entire disaster area,…

Bike-sharing systems are increasingly vital for promoting sustainable urban mobility, particularly in cities where car dependency remains deeply entrenched. In the context of Los Angeles, understanding the spatial and temporal distribution of bike-sharing demand is essential for enhancing system efficiency and supporting sustainable transportation objectives.…