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ISSN: 2666-6030

Improving distributed systems failure prediction via multi-objective feature selection and deep forest

Distributed systems failure prediction uses Key Performance Indicator (KPI) metrics to train machine learning models to identify potential system failures. Currently, this approach faces the challenge...

Prostate cancer detection in intelligent big data systems using omnipresent AI with Fox and Golden Jackal Optimizers

Prostate cancer is one of the most critical health concerns, making early detection essential for improved patient outcomes. In this context, this work used the ability of omnipresent AI and big data...

Improving spam botnet detection through convolutional model and geolocation feature enhancement in a novel three-class classification task

Botnet detection remains a critical and challenging area in the field of information security, primarily due to the intricate architectures and sophisticated attack mechanisms employed by botnets. The...

MIDES: A multi-layer Intrusion Detection System using ensemble machine learning

In recent years, as the frequency and types of network attacks increase, Intrusion Detection Systems (IDSs) have become essential components of most organizations’ security infrastructure. Although...

Global representation fine-tuning for federated self-supervised representation learning

Federated self-supervised representation learning combines federated learning with self-supervised mechanisms to learn general representations from distributed unlabeled data, effectively reducing reliance...

Machine learning in indoor localization prediction using Received Signal Strength Indicator and Wi-Fi network

Indoor usage of smartphones and electronic devices can be a source of information to detect the indoor location, which is known as localization that can be applied in large human health services and...

A hybrid deep reinforcement learning and genetic algorithm approach for optimized resource allocation and reconfigurable intelligent surface deployment in 6G holographic communication

The advent of 6G holographic communication demands extremely high data rates and ultra-low latency, creating unprecedented challenges for resource allocation and Reconfigurable Intelligent Surface (RIS)...

Transformer based framework for nuclei segmentation and cell counting on microscopic images of multiple organs

Segmentation of cell nuclei in microscopic images is a vital task in cell counting, essential for cancer diagnosis and cancer grading. Also, it is more challenging due to the presence of overlapping...

Design and research of multi-heterogeneous network security intrusion detection system based on TensorFlow framework

Traditional intrusion detection systems (IDS) face challenges in complex and heterogeneous network environments, particularly in terms of accuracy, adaptability, and performance. This study presents...

Secure digital asset trading technology based on MPC and blockchain

With the rapid expansion of digital asset trading, the contradiction between data sharing and privacy protection has increasingly become a significant challenge in the Internet environment. To address...

YOLOv11-RAH: A recurrent attention-enhanced edge intelligence network for UAV-based power transmission line insulator inspection

Reliable inspection of power transmission lines is essential for smart grid maintenance, yet manual surveys are slow, costly, and risky, and current detectors still struggle with small insulator defects...

HCLDR: Heterogeneous Graph Convolutional Networks with Contrastive Learning for Diversity Recommendation

Accuracy, now powering most of supporting users to achieve personalized recommendation in recommender systems, is one of the predominantly evaluation criteria. However, the diversity of the recommendation...

Enhanced intelligent transportation network systems for optimized emergency medical services management

This work discusses and emphasizes improvements in emergency medical services (EMS) by using intelligent transportation systems (ITS), geographic information systems (GIS), network analysis approaches,...

A method of vehicle networking environment information sharing based on distributed fountain code

The exchange of perceptual information between autonomous vehicles could significantly improve driving safety. In general, obtaining more information means driving more safely. However, Frequent information...

Introducing a high-throughput energy-efficient anti-collision (HT-EEAC) protocol for RFID systems

The utilization of radio frequency identification (RFID) technology has witnessed a substantial rise in recent years, and this upward trend is expected to continue in the coming years. It is often described...

Blockchain-based electronic voting systems: A case study in Morocco

This research examines the feasibility of implementing blockchain-based electronic voting systems in Morocco to enhance electoral transparency and integrity. The study employs a methodology that combines...

Tracing delay network in air transportation combining causal propagation and complex network

In air transportation, monitoring delays and making informed decisions at a system level is crucial for network managers. Causal selection methods have recently witnessed increased adoption for the...

A macroscopic traffic flow modelling and collision avoidance using B-spline and Physics-Informed Neural Network approaches

The macroscopic model, such as the Lighthill-Whitham-Richards (LWR), has been extensively studied and applied to various homogeneous traffic problems. However, numerical methods have been widely used...

Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain

Electronic Health Records (EHRs) have become an increasingly significant source of information for healthcare professionals and researchers. Two technical challenges are addressed: motivating federated...

Improved spectrum prediction model for cognitive radio networks using hybrid deep learning technique

Cognitive Radio (CR) technology has been highlighted as one of the most likely answers to the issue of spectrum shortage with the rise of fifth generation and beyond communication. Secondary users (SUs)...

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...

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...

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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