47 results
Showing 1–20 · 0.41 seconds · RSS
Journal of Edge Computing
Scopus
ISSN 2837-181X · Academy of Cognitive and Natural Sciences · 47 articles in the index
-
Journal Article
Performance analysis of localised large language models in resource-constrained edge for Python and Rust APIs
Edge deployments of large language models (LLMs) often suffer from significant latency due to the overhead of high-level client runtimes on resource-constrained hardware. To address this challenge, we conducted a side-by-side performance analysis of four quantised LLMs – Llama 3.2:1b, Gemma 3:1b…
-
Journal Article
Object detection method based on instance segmentation of satellite image obtained in the conditions of cloud cover
Modern achievements in the space industry, combined with the continuous development of remote sensing technologies, form the basis for solving problems in various areas. Medium- and high-resolution satellite imagery often plays a key role in decision-making during crises in hard-to-reach areas. In…
-
Journal Article
Seamless monitoring and detection of waste hazards in floating water and water reservoirs using Internet of Things integrated deep learning algorithms
One of the most essential and current research areas is waste hazard monitoring in floating water and water reservoirs. The increasing population and urbanisation contribute to waste hazards, negatively impacting water quality, human health, and environmental resources. Many research methods have…
-
Journal Article
Revisiting EdgeAI through the lens of communication, storage and computing optimisations
Implementing artificial intelligence models on edge devices (EdgeAI) has gained significant popularity due to its potential to enable real-time applications, achieve low latency, and conserve bandwidth. Additionally, reducing dependence on internet connections or cloud infrastructure provides a…
-
Journal Article
Optimising seizure prediction with reduced computational resources using depthwise CNN
Existing deep learning models for epileptic seizure prediction are accurate but parameter-heavy, which limits their deployment on wearable and other resource-constrained edge devices. We present DSCNN_Net, a 3D depthwise separable convolutional network operating on Mel-frequency cepstral…
-
Journal Article
The bio-edge: a survey and research agenda for the Internet of Bio-Nano Things, 2026-2035
The Internet of Bio-Nano Things (IoBNT) extends the Internet of Things into the biochemical domain of living systems through nanoscale bio-engineered devices that sense, actuate, and communicate primarily via molecular signalling. Eleven years after the founding vision of Akyildiz et al. [4], the…
-
Journal Article
Edge intelligence unleashed: a survey on deploying large language models in resource-constrained environments
Edge computing environments face unprecedented challenges in deploying large language models due to severe resource constraints, latency requirements, and privacy concerns that traditional cloud-based solutions cannot address. Current approaches struggle with the fundamental mismatch between LLMs'…
-
Journal Article
Comparative and edge-hybrid modeling ofEfficientNetV2 and MobileNetV2 for multi-classcrop disease classification with statistical validation
Crop disease classification is critical for global food security, yet deploying accurate deep learning models on resource-constrained edge devices remains challenging. This study systematically compares EfficientNetV2 and MobileNetV2 while proposing an edge-optimised hybrid architecture integrating…
-
Journal Article
Acoustic Doppler localisation and tracking in 3D space with retardation correction
This study extends Doppler-based acoustic localisation from 2D to a complete 3D framework for UAV tracking. A key methodological contribution is the explicit correction for the retardation effect (signal propagation delay), solved numerically using the Newton-Raphson method. This correction proved…
-
Journal Article
Edge of arXiv 2025: bibliometrics, themes, time trends, and networks
This study conducts a comprehensive bibliometric, thematic, temporal, and network analysis of 2000 edge computing preprints published on arXiv during 2025. Drawing from a corpus authored by 8683 researchers across 124 categories, the analysis reveals a highly collaborative field with an average of…
-
Journal Article
Innovative resource-saving security strategies for IoT devices
The astounding trend of increasing the number of connected IoT devices reflects the growing importance of this technology in industry, healthcare, the domestic sphere, and other sectors. However, with the expansion of IoT capabilities, the number of challenges also rises, particularly regarding the…
-
Journal Article
A comprehensive systematic review of intrusion detection systems: emerging techniques, challenges, and future research directions
The role of Intrusion Detection Systems (IDS) in the protection against the increasing variety of cybersecurity threats in complex environments, including the Internet of Things (IoT), cloud computing, and industrial networks. This study evaluates the existing state-of-the-art IDS methodologies…
-
Journal Article
Edge of excellence: JEC's Scopus achievement, doors 2025 breakthroughs, and Volume 4 Issue 1 (2025) highlights
This editorial highlights recent edge computing advancements from the doors 2025 workshop and JEC Volume 4, Issue 1, while celebrating the journal's acceptance into Scopus. The paper examines innovative solutions addressing distributed systems challenges, including IoT-based monitoring systems…
-
Journal Article
IoT-based home control system using NodeMCU and Firebase
Integrating Internet of Things (IoT) technology in home control systems has led to a significant advancement in the control and monitoring of home appliances and environmental conditions. This study presents the development of an IoT-based home control system that uses the NodeMCU ESP8266…
-
Journal Article
Method of adaptive knowledge distillation from multi-teacher to student deep learning models
Transferring knowledge from multiple teacher models to a compact stu-dent model is often hindered by domain shifts between datasets and a scarcity of labeled target data, degrading performance. While existing methods address parts of this problem, a unified framework is lacking. In this work, we…
-
Journal Article
Managing energy consumption in FPGA-based edge computing systems with soft-core CPUs
Edge computing, characterized by processing data closer to its source, has emerged as a promising paradigm to address the challenges of latency, bandwidth, and privacy in the Internet of Things (IoT) era. At the same time, Field-Programmable Gate Arrays (FPGAs) have gained significant attention in…
-
Journal Article
Akka as a tool for modelling and managing a smart grid system
The article addresses big data processing challenges, fault tolerance, and consumer interaction in a smart grid network management system. It analyses the use of Akka for agent-based modelling of smart grid systems, which enables the creation of distributed, resilient systems that can efficiently…
-
Journal Article
Use of wireless technologies in IoT projects
When it comes to creating projects based on the use of the Internet of Things (IoT), wireless sensor networks are often used. Edge computing in IoT technology reduces system response delays to sensor output signals and increases the network throughput. At the same time, a short-range sensor network…
-
Journal Article
Advancing IoT interoperability: dynamic data serialization using ThingsBoard
Benchmarking leading data serialization protocols such as schemaless JSON with binary serialization formats demonstrates the superior performance of the latter in Internet of Things (IoT) ecosystems. However, ease of integration and maintenance are equally important factors for real-world…
-
Journal Article
A long short-term memory based approach for detecting cyber attacks in IoT using CIC-IoT2023 dataset
The growth of Internet of Things (IoT) gadgets has ushered in a new era of connectedness and convenience, but it has also sparked worries about security flaws. Long Short-Term Memory (LSTM) networks are used in this research's use of intrusion detection as a novel strategy to strengthen IoT…