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ISSN: 2666-6030

Enhancing road safety in internet of vehicles using deep learning approach for real-time accident prediction and prevention

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

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

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

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

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

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

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

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

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

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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Designing a Novel Network Anomaly Detection Framework using Multi-Serial Stacked Network with Optimal Feature Selection Procedures over DDOS Attacks

- Distributed denial-of-service (DDoS) attacks are the major threat that disrupts the services in the computer system and networks using traffic and targeted sources. So, real-world attack detection...

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Covertvasion: Depicting threats through covert channels based novel evasive attacks in android

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

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

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

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

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

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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A novel deep neural network heartbeats classifier for heart health monitoring

The electrocardiogram (ECG) is a very useful diagnostic tool to examine the functioning of the heart and to detect myocardial infarction (MI) and arrhythmias. It contains the records of the electrical...

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Classification of network slicing threats based on slicing enablers: A survey

One of the Main expectation of the 5G environment is supporting various services in many areas such as healthcare, education, energy, streaming, V2X (vehicle to everything) communication, etc. To implement...

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Efficient breast cancer detection via cascade deep learning network

Breast calcifications or irregular tissue growth are major health concerns that can lead to breast cancer. To enable early management, which significantly lowers death rates, it is crucial to perform...

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HNTSumm: Hybrid text summarization of transliterated news articles

Data generated from social networking sites, blogs, digital magazines, and news websites is the largest human-generated data. Summarization is the process of extracting the crux of a document which...

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Secure short-packet communications using a full-duplex receiver

In this work, we consider the physical layer security in short-packet communications, where a full-duplex (FD) receiver receives information signals from a source while generating artificial noise (AN)...

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Fairness-driven link scheduling approach for heterogeneous gateways for digital twin enabled industry 4.0

The advent of Industry 4.0 has brought with it the integration of digital twin technology, which has enabled businesses to develop a virtual replica of their physical assets. This technology allows...

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Application of spatial data and 3S robotic technology in digital city planning

This article uses spatial data and 3S (Spatial, Surveying, and Remote Sensing) technology to enhance digital city planning. The methodology integrates WebGIS Big data, statistical feature extraction...

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