Vegetation emerging from pavement cracks and marginal strips can interfere with routine maintenance in port areas, yet effective non-chemical options for suppressing such vegetation remain limited. This exploratory field ...

This study evaluated the growth-inhibitory effects of chlorine dioxide (ClO2) on duckweed (Lemna spp.), barley (Hordeum vulgare), and indian mustard (Brassica juncea) under different concentrations (0-250 mg L-1) and ...

In wireless mesh networks (WMNs), multi-hop transmissions, dynamic topologies, and shared channels contribute to intense inter-node resource competition. This competition becomes particularly severe under high node density ...

Background: Beyond 5G wireless networks, the high Peak-to-Average Power Ratio (PAPR) in Filter Bank Multicarrier (FBMC) systems degrades performance and limits the efficiency of power amplifiers. Without compromising BER, ...

Blockchain technology's ability to store transactions as a distributed digital ledger has allowed the safe registration, validation, and distribution of contracts between authorized parties. One of its most promising ...

Access control policies are fundamental to enforcing authorization in cloud and distributed systems. As these policies evolve to accommodate new security requirements and operational changes, authorization engines automatically ...

In large-scale heterogeneous IoT ecosystems, devices with different data models, communication protocols and semantic representations need to interact seamlessly, which is a major challenge. Current interoperability models ...

This study develops robust security frameworks for threat detection and classification in IoT and Industrial IoT (IIoT) environments, addressing the critical need for scalable, accurate security in interconnected networks. ...

To address the challenges of highly dynamic topology and unbalanced load distribution in low Earth orbit (LEO) satellite edge computing networks, this paper proposes an inter-satellite cooperative strategy for dynamic ...

This study examined whether adding linguistic features to a pre-trained multilingual BERT model could reduce L1-L2 bias in identifying AI-generated text in Indonesian, thereby enabling the model to generalize better to ...