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View article: Integrated AI, IoT, and Blockchain for Enhancing Security and Traceability in Perishable Logistics
Integrated AI, IoT, and Blockchain for Enhancing Security and Traceability in Perishable Logistics Open
The perishability of food products in the supply chain poses a significant challenge in ensuring quality and safety. Inefficient monitoring of temperature, humidity, and storage time results in substantial economic losses and increased hea…
View article: Adaptive consensus optimization in blockchain using reinforcement learning and validation in adversarial environments
Adaptive consensus optimization in blockchain using reinforcement learning and validation in adversarial environments Open
The increasing complexity and decentralization of modern blockchain networks have highlighted the limitations of traditional consensus protocols when operating under adverse or dynamic conditions. Existing approaches often fail to adapt to…
View article: Modular middleware for IoT: scalability, interoperability and energy efficiency in smart campus
Modular middleware for IoT: scalability, interoperability and energy efficiency in smart campus Open
The rapid expansion of IoT devices has led to increasingly complex networks, such as Smart Campuses, where ensuring interoperability, scalability, and energy efficiency becomes crucial. Existing middleware solutions, such as Z-Wave and LoR…
View article: Design and evaluation of a decentralized urban governance system with embedded AI and blockchain-enabled IoT
Design and evaluation of a decentralized urban governance system with embedded AI and blockchain-enabled IoT Open
The increasing complexity of smart urban environments demands governance systems capable of autonomous decision-making, secure validation, and transparent traceability. This work presents the design and functional validation of a decentral…
View article: Digital twin integration in metalworking: enhancing efficiency and predictive maintenance
Digital twin integration in metalworking: enhancing efficiency and predictive maintenance Open
In the era of Industry 4.0, the integration of advanced technologies such as digital twins represents a strategic opportunity for process optimization in the metalworking industry. Although their potential has been widely acknowledged, man…
View article: Optimizing Consensus in Blockchain with Deep and Reinforcement Learning
Optimizing Consensus in Blockchain with Deep and Reinforcement Learning Open
This study aims to optimize blockchain consensus mechanisms by integrating artificial intelligence techniques to address critical limitations in latency, scalability, computational efficiency, and security inherent in traditional protocols…
View article: Development of adaptive and emotionally intelligent educational assistants based on conversational AI
Development of adaptive and emotionally intelligent educational assistants based on conversational AI Open
Although increasingly sophisticated in cognitive adaptability, current educational virtual assistants lack effective integration of real-time emotional analysis mechanisms. Most existing systems focus exclusively on static cognitive adapta…
View article: AI-Based Architecture and Distributed Processing for the Detection and Mitigation of Spoofing Attacks in IoT Networks
AI-Based Architecture and Distributed Processing for the Detection and Mitigation of Spoofing Attacks in IoT Networks Open
The exponential increase in IoT devices within industrial networks has heightened their exposure to cyberattacks, with spoofing attacks posing one of the most critical threats. These attacks exploit communication vulnerabilities, enabling …
View article: Use of granular computing for resource optimization in IoT networks
Use of granular computing for resource optimization in IoT networks Open
The exponential growth of connected devices on the Internet of Things (IoT) has transformed multiple domains, from industrial automation to smart environments. However, this proliferation introduces complex challenges in efficiently managi…
View article: Generative Adversarial Networks for Dynamic Cybersecurity Threat Detection and Mitigation
Generative Adversarial Networks for Dynamic Cybersecurity Threat Detection and Mitigation Open
The increasing complexity and dynamism of cyberattacks, such as ransomware, phishing, and denial of service, demand advanced solutions that overcome the limitations of traditional methods, such as support vector machines and decision trees…
View article: Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks
Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks Open
The rapid expansion of Internet of Things (IoT) networks has significantly increased security vulnerabilities, exposing critical infrastructures to sophisticated cyberattacks. Traditional Intrusion Detection Systems, based mainly on signat…
View article: Optimization of the Traceability of Perishable Products Through Light Blockchain and IoT in the Food Industry
Optimization of the Traceability of Perishable Products Through Light Blockchain and IoT in the Food Industry Open
Traceability in the supply chain of perishable products faces significant challenges due to the limitations of traditional systems, such as centralized databases and conventional blockchain technologies. These solutions are often insuffici…
View article: Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability
Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability Open
The increasing complexity and dynamism of modern digital infrastructures have significantly elevated the difficulty of anticipating and mitigating cyber threats. Traditional risk assessment methods, often based on static rules and signatur…
View article: Automating the Design of Scalable and Efficient IoT Architectures Using Generative Adversarial Networks and Model-Based Engineering for Industry 4.0
Automating the Design of Scalable and Efficient IoT Architectures Using Generative Adversarial Networks and Model-Based Engineering for Industry 4.0 Open
The increasing demand for efficient and scalable IoT systems in Industry 4.0 has driven the development of increasingly complex architectures. However, the design of these architectures presents significant challenges, particularly in dens…
View article: Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection
Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection Open
The exponential growth of the Internet of Things (IoT) has boosted connectivity across various sectors, such as Industry 4.0 and smart cities. However, this expansion has also exposed IoT devices to critical vulnerabilities, including spoo…
View article: Implementation of deep reinforcement learning models for emotion detection and personalization of learning in hybrid educational environments
Implementation of deep reinforcement learning models for emotion detection and personalization of learning in hybrid educational environments Open
The integration of artificial intelligence in education has shown great potential to improve student’s learning experience through emotion detection and the personalization of learning. Many educational settings lack adequate mechanisms to…
View article: Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques
Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques Open
In the contemporary realm of industry, the imperative for influential and steadfast systems to detect anomalies is critically recognized. Our study introduces a cutting-edge approach utilizing a deep learning model of the Long-Short Term M…
View article: Transparency and precision in the age of AI: evaluation of explainability-enhanced recommendation systems
Transparency and precision in the age of AI: evaluation of explainability-enhanced recommendation systems Open
In today’s information age, recommender systems have become an essential tool to filter and personalize the massive data flow to users. However, these systems’ increasing complexity and opaque nature have raised concerns about transparency…
View article: CyberEduPlatform: an educational tool to improve cybersecurity through anomaly detection with Artificial Intelligence
CyberEduPlatform: an educational tool to improve cybersecurity through anomaly detection with Artificial Intelligence Open
Cybersecurity has become a central concern in the contemporary digital era due to the exponential increase in cyber threats. These threats, ranging from simple malware to advanced persistent attacks, put individuals and organizations at ri…
View article: Securing Critical Infrastructure with Blockchain Technology: An Approach to Cyber-Resilience
Securing Critical Infrastructure with Blockchain Technology: An Approach to Cyber-Resilience Open
Currently, in the digital era, critical infrastructure is increasingly exposed to cyber threats to their operation and security. This study explores the use of blockchain technology to address these challenges, highlighting its immutabilit…
View article: Transforming Cybersecurity into Critical Energy Infrastructure: A Study on the Effectiveness of Artificial Intelligence
Transforming Cybersecurity into Critical Energy Infrastructure: A Study on the Effectiveness of Artificial Intelligence Open
This work explores the integration and effectiveness of artificial intelligence in improving the security of critical energy infrastructure, highlighting its potential to transform cybersecurity practices in the sector. The ability of arti…
View article: Optimizing Chatbot Effectiveness through Advanced Syntactic Analysis: A Comprehensive Study in Natural Language Processing
Optimizing Chatbot Effectiveness through Advanced Syntactic Analysis: A Comprehensive Study in Natural Language Processing Open
In the era of digitalization, the interaction between humans and machines, particularly in Natural Language Processing, has gained crucial importance. This study focuses on improving the effectiveness and accuracy of chatbots based on Natu…
View article: Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS
Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS Open
Cybersecurity is a critical concern in today’s digital age, where organizations face an ever-evolving cyber threat landscape. This study explores the potential of leveraging artificial intelligence and Amazon Web Services to improve cybers…
View article: Integration of Data and Predictive Models for the Evaluation of Air Quality and Noise in Urban Environments
Integration of Data and Predictive Models for the Evaluation of Air Quality and Noise in Urban Environments Open
This work addresses assessing air quality and noise in urban environments by integrating predictive models and Internet of Things technologies. For this, a model generated heat maps for PM2.5 and noise levels, incorporating traffic data fr…
View article: Virtual Reality Simulations for Skills Training: Improving Learning Through Immersive Experiences in Educational Environments
Virtual Reality Simulations for Skills Training: Improving Learning Through Immersive Experiences in Educational Environments Open
Virtual reality has emerged as a tool of interest in education, offering immersive and practical learning experiences that overcome the limitations of traditional methods. However, despite its potential, effective integration of virtual re…
View article: Effectiveness of an Adaptive Deep Learning-Based Intrusion Detection System
Effectiveness of an Adaptive Deep Learning-Based Intrusion Detection System Open
Cybersecurity is characterized by its dynamism and complexity, with malicious actors continually developing new strategies to evade traditional intrusion detection systems. These systems, while once robust, now often need help to adapt to …
View article: Improving Interaction and Assessment in Hybrid Educational Environments: An Integrated Approach in Microsoft Teams With the Use of AI Techniques
Improving Interaction and Assessment in Hybrid Educational Environments: An Integrated Approach in Microsoft Teams With the Use of AI Techniques Open
The current education landscape is marked by the growing integration of artificial intelligence technologies, which seek to improve interaction and efficiency in educational environments. However, many of these tools operate on separate pl…
View article: Optimizing Language Model-Based Educational Assistants Using Knowledge Graphs: Integration with Moodle LMS
Optimizing Language Model-Based Educational Assistants Using Knowledge Graphs: Integration with Moodle LMS Open
Chatbots in educational settings have grown significantly, facilitating interaction between students and learning platforms. However, current systems, such as Rasa, Moodle Integrated Chatbots, and ChatterBot, present significant limitation…
View article: Optimizing Automated Educational Systems: Adaptive Syllabus Generation and Precise Assessment Using Artificial Intelligence
Optimizing Automated Educational Systems: Adaptive Syllabus Generation and Precise Assessment Using Artificial Intelligence Open
Integrating artificial intelligence in education can revolutionize how educational resources are generated, and assessments are conducted. However, current automated systems often struggle with precision, relevance, and usability issues, p…
View article: Advances in the Optimization of Vehicular Traffic in Smart Cities: Integration of Blockchain and Computer Vision for Sustainable Mobility
Advances in the Optimization of Vehicular Traffic in Smart Cities: Integration of Blockchain and Computer Vision for Sustainable Mobility Open
The growing adoption of Artificial Intelligence of Things technologies in smart cities generates significant transformations to address urban challenges and move towards sustainability. This article analyzes the economic, social, and envir…