IoT News and Research

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NFT-Based Authentication: Securing IoT Assets in Smart City Infrastructure

Researchers introduce a groundbreaking Non-Fungible Token (NFT)-based authentication structure for IoT assets in smart cities, enhancing security and autonomy. The architecture, leveraging blockchain and Externally Owned Addresses (EOA), provides a cost-effective and accessible solution by digitizing devices without the need for additional hardware upgrades.

17 Nov 2023

Three-Tier Deep Learning Model for Early Plant Disease Detection

This study introduces an innovative framework for early plant disease diagnosis, leveraging fog computing, IoT sensor technology, and a novel GWO algorithm. The hybrid approach, incorporating deep learning models like AlexNet and GoogleNet, coupled with modified GWO for feature selection, demonstrates superior performance in plant disease identification.

12 Nov 2023

Multichannel Deep Learning Model for Enhanced Underwater Image Quality

Researchers introduced the MDCNN-VGG, a novel deep learning model designed for the rapid enhancement of multi-domain underwater images. This model combines multiple deep convolutional neural networks (DCNNs) with a Visual Geometry Group (VGG) model, utilizing various channels to extract local information from different underwater image domains.

8 Nov 2023

Enhanced Gas Explosion Prediction in Coal Mines Using Intelligent Mining Systems

Researchers have developed an advanced early warning system for gas explosions in coal mines, utilizing real-time data from intelligent mining systems. The system, based on the Random Forest algorithm, achieved 100% accuracy in prediction, surpassing the performance of the Support Vector Machine model, offering a promising approach to improve coal mine safety through multidimensional data analysis and intelligent mining technologies.

5 Nov 2023

Leveraging Machine Learning for Enhanced Industrial Control System Cybersecurity

Researchers reviewed the application of machine learning (ML) techniques to bolster the cybersecurity of industrial control systems (ICSs). ML plays a vital role in detecting and mitigating cyber threats within ICSs, encompassing supervised and unsupervised approaches, and can be integrated into intrusion detection systems (IDS) for improved outcomes.

3 Nov 2023

Integrating IoT Technology for Efficient Load Management in Residential Distribution Systems

Researchers introduce an innovative framework that integrates Internet of Things (IoT) technology, particularly IoT windows and occupant behavior, into residential distribution systems to enhance load management and conserve energy. The study highlights the potential of IoT-based load optimization, discusses its impact on distribution operations and underscores the importance of coordination for aligning IoT-enabled household energy consumption with rooftop photovoltaic generation in intelligent grid systems for improved sustainability.

2 Nov 2023

IoT-Integrated Drone Cybersecurity: Using DL and ML for Intrusion Detection

This paper explores the integration of IoT with drone technology to enhance data communication and security across various industries, including agriculture and smart cities. The study focuses on the use of machine learning and deep learning techniques to detect cyberattacks within drone networks and presents a comprehensive framework for intrusion detection.

2 Nov 2023

Smart Greenhouse IoT System: A Breakthrough in Crop Cultivation

This article outlines the development and implementation of a smart greenhouse system using IoT technologies. This comprehensive solution integrates automation, precise growth parameter fine-tuning, and user-friendly Android mobile interfaces, offering real-time control and improved crop management in Brassica Juncea cultivation.

1 Nov 2023

Leveraging Artificial Intelligence for Urban Sustainability and Mobility

A recent research publication explores the profound impact of artificial intelligence (AI) on urban sustainability and mobility. The study highlights the role of AI in supporting dynamic and personalized mobility solutions, sustainable urban mobility planning, and the development of intelligent transportation systems.

26 Oct 2023

IoT-Based System for Recognizing Negative Emotions Using Multimodal Biosignal Data

Researchers have introduced an innovative IoT-based system for recognizing negative emotions, such as disgust, fear, and sadness, using multimodal biosignal data from wearable devices. This system combines EEG signals and physiological data from a smart band, processed through machine learning, to achieve high accuracy in emotion recognition.

23 Oct 2023

Distributed Learning for IoT Services in the Era of 6G: A Comprehensive Survey

Researchers explored the application of distributed learning, particularly Federated Learning (FL), for Internet of Things (IoT) services in the context of emerging 6G networks. They discussed the advantages and challenges of distributed learning in IoT domains, emphasizing its potential for enhancing IoT services while addressing privacy concerns and the need for ongoing research in areas such as security and communication efficiency.

19 Oct 2023

Challenges and Opportunities in Integrating Social Robots: A Comprehensive Review

This review explores the landscape of social robotics research, addressing knowledge gaps and implications for business and management. It highlights the need for more studies on social robotic interactions in organizations, trust in human-robot relationships, and the impact of virtual social robots in the metaverse, emphasizing the importance of balancing technology integration with societal well-being.

19 Oct 2023

Reinforcing IoT Security with TabNet-IDS: A Deep Learning Approach for Intrusion Detection

This research introduces TabNet-IDS, an innovative Intrusion Detection System for IoT networks. The model leverages deep learning and attentive mechanisms to enhance security in IoT systems, achieving high accuracy rates on various datasets while maintaining model interpretability, thus serving as a promising tool for safeguarding networked devices.

18 Oct 2023

Eco-Friendly Flexible Electret Loudspeakers: A Sound Revolution

Researchers have developed eco-friendly, flexible electret loudspeakers that offer high-quality sound and sustainability. With versatility in shape and size, these speakers open doors for immersive human-machine interactions, enhancing audio experiences in various applications.

10 Oct 2023

Enhancing Safety in Autonomous Mining: A Bayesian Network Approach

Researchers explored safety in autonomous mining using Bayesian networks (BN). They developed a proactive approach to detect faults and fire hazards in mining machinery, utilizing diverse sensors and AI-driven predictive maintenance. This study offers a comprehensive framework for improving safety in the rapidly advancing field of autonomous mining.

5 Oct 2023

Enhancing IoT Network Security with Swarm-Based Penetration Testing

Researchers introduce an innovative AI-driven approach to bolster the security of Internet of Things (IoT) networks using Particle Swarm Optimization (PSO) penetration testing. The study demonstrates the superiority of swarm-based penetration testing over traditional linear methods in identifying vulnerabilities within IoT networks, offering promising solutions for IoT security in diverse settings, including smart homes, industrial IoT, and military environments.

3 Oct 2023

Enhancing Cybersecurity in Agriculture 4.0: A Novel Intrusion Detection System Using Prairie Dog Optimization

Researchers have introduced an innovative Intrusion Detection System (IDS) model, IDSNet-PDO, built on one-dimensional convolutional neural networks (1D-CNN) and fine-tuned with the Prairie Dog Optimization (PDO) algorithm. This IDS model demonstrates high accuracy in predicting Distributed Denial of Service (DDoS) attacks in the context of Agriculture 4.0, addressing cybersecurity challenges in interconnected IoT devices used in modern agriculture.

19 Sep 2023

Optimizing Seaport Parking with AI and Computer Vision: A Systematic Review

This paper explores the integration of artificial intelligence (AI) and computer vision (CV) technologies in addressing urban expansion challenges, particularly in optimizing container movement within seaports. Through a systematic review, it highlights the significant role of AI and CV in sustainable parking ecosystems, offering valuable insights for enhancing seaport management and smart city development.

17 Sep 2023

FL-LoRaMAC: Pioneering Federated Learning for Efficient IoT Anomaly Detection

This research presents FL-LoRaMAC, a cutting-edge framework that combines federated learning and LoRaWAN technology to optimize IoT anomaly detection in wearable sensor data while preserving data privacy and minimizing communication costs. The results demonstrate that FL-LoRaMAC significantly reduces data volume and computational overhead compared to traditional centralized ML methods.

12 Sep 2023

AI-Powered Sustainability in Côte d'Ivoire's Agriculture

This research highlights the use of AI and open-source tools to address climate change challenges in Côte d'Ivoire's agriculture. It introduces AI models for cocoa plant health monitoring and water resource forecasting, emphasizing their potential in promoting sustainable practices and climate-resilient decision-making for farmers and policymakers.

6 Sep 2023