About
13
Publications
495
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43
Citations
Introduction
Skills and Expertise
Current institution
Additional affiliations
July 2023 - present
Daqing Noraml University
Position
- Senior Lecturer
Description
- I am a Computer Science lecturer at Daqing Normal University, specializing in algorithms, Internet of Things (IoT), and computer composition. My role involves teaching these subjects, conducting research to advance knowledge in these areas, and mentoring students in their academic and professional development. I am dedicated to exploring the intersection of algorithms, IoT, and computer composition to solve real-world challenges and contribute to the field of Computer Science
Publications
Publications (13)
This research uses a bibliometric analysis of literature that came out between 2019 and 2024, using the Scopus database, and using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for the identification of the effect of different digital technologies that include artificial intelligence (AI), ICT, and green technology...
Industrial automation has empowered industries and businesses such as energy, manufacturing, and critical infrastructure, driving efficiency and productivity. However, this technological advancement has also introduced complex cybersecurity errors and challenges. The increasing connectivity of industrial control systems, which are industrial contro...
The smooth out integration of Artificial Intelligence (AI) in drones and robotic systems has dramatically changed industries, from manufacturing to logistics, healthcare, and to close observation surveillance. This process has enabled unprecedented precision, efficiency, and process for innovation. However, it also introduces unknown before cyberse...
As autonomous robots become more prevalent in diverse industries, they substantially increase productivity and safety. Still, these robots commonly have a passive role in complex and dynamic areas, which means they are exposed to many possible threats. Besides these security risks, cyber-attacks against damaged software, unreliable wall and hardwar...
Industrial Internet of Things (IIoT) networks, essential to modern manufacturing, logistics, and critical infrastructure, face unprecedented cybersecurity challenges. As IIoT networks expand, integrating countless interconnected devices, they are increasingly exposed to cyber threats that exploit system vulnerabilities, jeopardizing data integrity,...
Medical image machines serve as a valuable tool to monitor and diagnose a variety of diseases. However, manual and centralized interpretation are both error-prone and time-consuming due to malicious attacks. Numerous diagnostic algorithms have been developed to improve precision and prevent poisoning attacks by integrating symptoms, test methods, a...
The widespread adoption of IoT technology across various domains has introduced several challenges, particularly in the areas of authentication and data storage. This research paper presents a novel approach utilizing blockchain technology to address these challenges in the context of IoT. The proposed scheme introduces a hierarchical network struc...
The COVID-19 pandemic has created a demand for rapid and accurate testing to detect the coronavirus, tuberculosis (TB), and pneumonia. Chest X-ray (CXR) images have been used as a source of testing, but the manual analysis is time-consuming and prone to error. To address this issue, an ensemble-based machine-learning approach has been developed to...
In this chapter, we delve into the dynamic realm of IoT plus its intersection with AI. We explore the foundational concepts of IoT, its components, challenges, and diverse applications. Additionally, we unveil the symbiotic relationship between AI and IoT, shedding light on how they collaborate to transform communication systems. Delving into the b...
