The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on the Internet of Things — from device and network-level implementations to literature reviews of IoT applications and challenges.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Blue carbon ecosystems have significant long-term carbon sequestration capacity, making them an important nature-based solution for climate change mitigation. However, monitoring and accounting processes are increasingly…
In the era of smart cities and intelligent resource management, the need for precise and efficient sensing devices is increasingly critical. Among essential infrastructures are water and electricity systems, which necess…
The continuous expansion of Machine-to-Machine (M2M) communication and Internet of Things (IoT) ecosystems has significantly increased the complexity of selecting appropriate communication protocols and data flow managem…
This study presents a literature-derived, attack-vector-based taxonomy for IoT malware and complements it with an empirical validation using supervised machine learning. Building on prior surveys and taxonomies of IoT se…
Recent advances in Artificial Intelligence (AI) and Computer Vision have significantly enhanced the potential of Advanced Driver Assistance Systems (ADAS). However, existing solutions remain limited by high computational…
Driver drowsiness is a major cause of traffic accidents, so Edge-IoT platforms with limited resources need to be able to accurately and quickly detect when drivers are drowsy. This study examines attention-guided lightwe…
Industrial facilities operating with toxic and explosive gases require continuous monitoring systems capable not only of detecting threshold exceedances but also of anticipating hazardous trends. Conventional IoT-based g…
This study presents an improved MQTT protocol designed to address broker congestion and connection overflow in large-scale IoT networks. The proposed method integrates Huffman Deep Compression (HDC) at the publisher side…
Long-term heterogeneous time-series data generated by large-scale sensing and environmental monitoring systems exhibit complex temporal behavior that is not fully captured by prediction-driven learning models. While most…
Supervisory Control and Data Acquisition (SCADA) systems are central to the efficient operation of critical infrastructure such as energy, water, and industrial networks. However, the increased digital integration of SCA…
