Latest Communications of International Proceedings articles

This study evaluates the effectiveness of three popular large language models (LLMs)—GPT-3.5-Turbo, GPT-4o-Mini, and Gemini-2.0-Flash—in identifying Myers-Briggs Type Indicator (MBTI) personality traits from textual data. Using a dataset of over 8,000 personality-labeled posts, each model's capability to accurately classify individual MBTI letters (Introversion-Extraversion, Sensing-Intuition, Thinking-Feeling,…

In this investigation, we evaluate the comparative efficacy of Random Forest (RF) classifiers and Deep Q-Network (DQN) agents in the context of No-Limit Texas Hold’em poker. Within a high-fidelity simulation, RF-based agents—trained through supervised learning on labeled gameplay data—demonstrated superior and more consistent profitability relative…

Credible assessment of positioning errors of industrial robots is important for their application. The paper concerns a problem of determination of positioning errors of a manipulating robot basing on simulated experimental results. The procedure of ISO 9283 standard was the base of determination of 5…

Task scheduling in multicore systems becomes increasingly complex in the presence of inter-task dependencies, which traditional operating system schedulers are not designed to manage. As a result, tasks are often activated before their prerequisites are satisfied, leading to passive waiting and inefficient CPU utilization. Although…

Business analytics (BA) leverages data-driven techniques, statistical analysis, and predictive modeling to enhance decision-making and strategic planning across industries. With advancements in computing power, artificial intelligence, and big data, BA has become integral to optimizing operations, improving customer experiences, and gaining competitive advantages. This study…

The capacity to gather and scrutinise extensive crime-related data has emerged as an essential resource for law enforcement authorities. This research analyzes geographical and temporal crime trends in Illinois from 2001 to 2024, utilizing geospatial analysis and time-series forecasting to pinpoint high-crime regions, seasonal variations,…

This study is motivated by the increasing need for proactive policing strategies to respond to contemporary public safety challenges effectively. A critical void in the existing literature relates to the limited integration of advanced analytics and real-time visualizations within community policing frameworks, especially in the…

This paper presents the concept of an innovative Command and Control (C2) system for exploring digital multilayer maps with voice commands, using generative artificial intelligence and modern data science methods. The goal of the system is to accelerate decision-making within the Observe-Orient-Decide-Act (OODA) loop by…

Customer churn remains a major concern across industries, especially with the rising importance of customer retention over acquisition. While prior research has focused heavily on structured data, the potential of customer-generated textual data, such as chat logs and feedback, remains underutilized. This study addresses this…

Electronic waste is rising rapidly worldwide, and Saudi Arabia currently produces the largest share within the Arab region. Existing studies focus on isolated technologies or regional snapshots; none combine cloud computing, Internet‑of‑Things (IoT) sensing, and machine‑learning prediction in a single, traceable national inventory. To address…