Research on intelligent vehicle Traffic Flow control algorithm based on data mining
2024
Traffic Congestion (TC) is increasing due to urban growth and vehicle numbers, rendering the development of cities and people's well-being difficult. Traffic Prediction (TP) and control systems have...
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Research on the application of network security defence in database security services based on deep learning integrated with big data analytics
2024
Every day, more people use the internet to send and receive sensitive information. A lot of confidential data is being transmitted electronically between people and businesses. Cyber-attacks, which...
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Personal internet of things networks: An overview of 3GPP architecture, applications, key technologies, and future trends
2024
The use of the personal Internet of Things (PIoT) is rapidly expanding across a range of application areas. It is needed for real-time monitoring, wireless coverage, remote sensing, delivery, security,...
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Secure Official Document Management and intelligent Information Retrieval System based on recommendation algorithm
2024
Currently, servers store information from different sources and file types, which are then retrieved via electronic Information Management Systems (e-IMS), with Smart serving as an effective prototype...
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Data structure and privacy protection analysis in big data environment based on blockchain technology
2024
In today's digital world, the rapid advancement of Information Technology (IT) has made it crucial to prioritize the protection and management of data storage and retrieval. It is vital to challenge...
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Face recognition technology for video surveillance integrated with particle swarm optimization algorithm
2024
With the rapid development of video surveillance technology, face recognition has become an important security and surveillance tool. To improve the accuracy and applicability of face recognition in...
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Markov enhanced I-LSTM approach for effective anomaly detection for time series sensor data
2024
Users could engage and interact with their immediate surroundings without effort in smart settings. The emergence of intelligent technologies along with software-based services has made this possible....
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Variable rate power-controlled batch-based channel assignment for enhanced throughput in cognitive radio networks
2024
The number of users in wireless networks, such as mobile and Internet-of-Things networks, is witnessing a tremendous increase, turning the available frequency spectrum into a scarce resource that needs...
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Enhancing road safety in internet of vehicles using deep learning approach for real-time accident prediction and prevention
2024
The paper proposes an Internet of Vehicles (IoV)-based Accident Prediction and Prevention System that leverages the Internet of Things (IoT) to tackle the road safety challenges arising from the increased...
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Generalized hybrid LiFi-WiFi UniPHY learning framework towards intelligent UAV-based indoor networks
2024
Advancements in unmanned aerial vehicle (UAV) technology, along with indoor hybrid LiFi-WiFi networks (HLWN), promise the development of cost-effective, energy-efficient, adaptable, reliable, rapid,...
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Revolutionizing prostate cancer diagnosis: Unleashing the potential of an optimized deep belief network for accurate Gleason grading in histological images
2024
PC (Prostate Cancer) is the second highest cause of death due to cancer in men globally. Proper detection and treatment are critical for halting or controlling the growth and spread of cancer cells...
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A swarm intelligence and deep learning strategy for wind power and energy storage scheduling in smart grid
2024
In today's world, rising energy demands are a significant challenge, and the smart grid emerges as a solution for sustainable energy management. An essential view of advancing the Smart Grid (SG) capabilities...
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Heterogeneity-aware device selection for efficient federated edge learning
2024
Federated learning (FL) combined with mobile edge computing (FEEL) provides an end-to-edge synergetic learning approach to allow end devices to participate in machine learning model training parallelly...
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Security experimental framework of trajectory planning for autonomous vehicles
2024
In the contemporary landscape, autonomous vehicles (AVs) have emerged as a prominent technological advancement globally. Despite their widespread adoption, significant hurdles remain, with security...
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Optimizing land mine detection across diverse mining environments: A hyperspectral data approach with regression models
2024
The detection of landmines, namely anti-tank mines, explosive devices, and unexploded ordnance, is a formidable obstacle for the global community. The visible consequences of unobserved explosives in...
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AOF: An adaptive algorithm for enhancing RPL objective function in smart agricultural IoT networks
2024
Within the Internet of Things (IoT) ecosystem, the Routing Protocol for Low-Power and Lossy Networks (RPL) serves as a foundational element for network communication. The protocol's effectiveness depends...
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Multimodal spatio-temporal framework for real-world affect recognition
2024
Deep learning models show great potential in applications involving video-based affect recognition, including human-computer interaction, robotic interfaces, stress and depression assessment, and Alzheimer's...
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Enhancing aspect category detection in imbalanced online reviews: An integrated approach using Select-SMOTE and LightGBM
2024
Aspect category detection (ACD) is a pivotal subtask within the field of sentiment analysis in natural language processing, aiming to identify implicit aspect category information in online review texts....
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Covertvasion: Depicting threats through covert channels based novel evasive attacks in android
2023
Privacy and security issues concerning mobile devices have substantial consequences for individuals, groups, governments, and businesses. The Android operating system bolsters smartphone data protection...
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Genetic algorithm with self adaptive immigrants for effective virtual machine placement in cloud environment
2023
In cloud environments, optimization of resource utilizations is one among the predominant challenges. The two sub-research topics are cloud resource prediction and allocation. A few contributions to...
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Conversational chat system using attention mechanism for COVID-19 inquiries
2023
Conversational artificial intelligence (AI) is a type of artificial intelligence that uses machine learning techniques to understand and respond to user inputs. This paper presents a conversational...
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Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison
2023
The ever-increasing demand for energy and power consumption due to population growth, economic expansion, and evolving consumer choices has led to the need for renewable energy sources. Traditional...
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An optimized framework for VANET routing: A multi-objective hybrid model for data synchronization with digital twin
2023
The utilization of Digital Twin technology allows for the simulation of network behavior, anticipating traffic surges, and implementing efficient traffic routing strategies to prevent congestion. This...
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Face expression image detection and recognition based on big data technology
2023
This research addresses the deficiencies in current dynamic sequence facial expression recognition methods, which suffer from limited accuracy and effectiveness. The primary objective is to introduce...
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