most citedUnderstanding Dhaka City Traffic Intensity and Traffic Expansion Using Gravity Model

14 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20235 cited

Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction

Jonayet Miah, Duc M Ca, Md Abu Sayed +3

Cardiovascular disease remains a leading cause of mortality in the contemporary world. Its association with smoking, elevated blood pressure, and cholesterol levels underscores the…

cs.CV20231 cited

Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks

Jonayet Miah, Duc M Cao, Md Abu Sayed +1

Artistic style transfer, a captivating application of generative artificial intelligence, involves fusing the content of one image with the artistic style of another to create uniq…

cs.GT20231 cited

Honeypot Allocation for Cyber Deception in Dynamic Tactical Networks: A Game Theoretic Approach

Md Abu Sayed, Ahmed H. Anwar, Christopher Kiekintveld +1

Honeypots play a crucial role in implementing various cyber deception techniques as they possess the capability to divert attackers away from valuable assets. Careful strategic pla…

physics.soc-ph202314 cited

Understanding Dhaka City Traffic Intensity and Traffic Expansion Using Gravity Model

Md Abu Sayed, Md Maksudur Rahman, Moinul Islam Zaber +1

Analysis of traffic pattern recognition and traffic congestion expansion in real time are one of the exciting and challenging tasks which help the government to build a robust and…

cs.GT202311 cited

Cyber Deception against Zero-day Attacks: A Game Theoretic Approach

Md Abu Sayed, Ahmed H. Anwar, Christopher Kiekintveld +2

Reconnaissance activities precedent other attack steps in the cyber kill chain. Zero-day attacks exploit unknown vulnerabilities and give attackers the upper hand against conventio…