Journal Scope

BRJCIT Journal Scope

The Boston Research Journal of Computers & Information Technology covers artificial intelligence, networks and security, cloud and quantum computing, hardware and IoT, data, computer vision, and software. Explore the subject areas and topics within the journal’s scope.

Artificial Intelligence & Machine Learning

The development of machines to perform intelligent tasks such as reasoning and decision making.

Neural networks
Artificial intelligence
Robotics
Machine structure and working
Mechanical engineering
Aerospace & Aerodynamics
Elements of AI
Machine learning for musicians and artists
Transport systems: Global Issues and Future Innovations
Introduction to Artificial intelligence
Machine Learning Foundations: A case study Approach
A complete Reinforcement Learning system(Capstone)
Introduction to Machine Learning Course
Neural Networks and Deep Learning
Join the world’s largest programming course-Python for Everybody
Machine Learning with big data
Machine Learning for Trading
AWS Machine Learning
Machine Learning for data science and Analytics
MedTech: AI and Medical Robots
Reinforcement Learning
Artificial intelligence for Business
Bayesian Methods for Machine Learning
Introduction to Deep Learning
Deep Learning in computer vision
AI workflow: Machine Learning, Visual Recognition, and NLP
Evaluations of AI Applications in Healthcare
Artificial Intelligence: Distinguishing Between Fact and Fiction
Artificial Intelligence (AI) Education for Teachers
Data Science
Education & Teaching
Art and Design
Statics and Probability
Nonlinear Dynamics: Mathematical and Computational Approaches TensorFlow for Artificial Intelligence by deep learning

Network & Security

The connection of devices for mutual exchange of data and protection of data from hackers.

Computer networks
Internet
Ethernet
Computer security
Hacking
Ethical hacking
Introduction to Cyber Security
IT Security: Defense against the digital dark arts
Cloud Security Basics
Networks and Communications Security
Enterprise and Infrastructure Security
Software security
Principles of secure coding
Identifying Security Vulnerabilities
G Suite security
Cloud Networking
Hardware security
Enterprise system management and security
Proactive computer security
Cybersecurity in manufacturing
Cloud data security
Data communication network
Network optimization
IT networking fundamentals
Ethical hacking
Penetration Testing
Network Administration
Cisco CCNA
CompTIA security+
Data Analytics
Information security
Securing networks with cisco umbrella
Learning salt
5G network security

Cloud & Quantum Computing

The virtual spaces provided by applications for the storage of data that could be accessed later.

Cloud computing
Quantum computing
Virtual computing
Data storage
Social networking sites
Computer architecture
Algebra and algorithms
Computational geometry
TensorFlow: Advanced Techniques
Introduction to mechanism
Matrix Methods
Cybersecurity Compliance Framework & System Administration
Materials Data Sciences and Informatics
Prototyping and Design
Hacking and Patching
Introduction into General Theory of Relativity
Introduction to Applied Cryptography
Planning for your G Suite Deployment
Google Cloud Platform
Cloud Security
Introduction to Git and Github
Cloud Architecture with Google cloud
Google cloud security
Google cloud networking
AWS fundamentals
Introduction to Cybersecurity tools & cyber Attacks
Deploying SAP on Google cloud
Emerging technologies: From Smartphones to IoT to Big data
Modernizing Data lakes and data warehouses with GCP
Troubleshooting and debugging techniques
Introduction to Enterprise computing
IBM cloud essentials
Introduction to docker
Build a python application(API) on AWS
Brand and content marketing

Hardware & IoT

The manufacturing and development of the devices that make up the computer and work in harmony while taking the input, processing the data and giving the output.