Iftekharul Mobin

Asif Zaman, Romona Magdalene Sarkar, Sabiha Khair Ohi et al.

Market manipulation is the dubious practice of manipulating stock prices in order to make a quick profit, which truly degrades confidence on trading platforms. We implemented an unsupervised fraud-detection toolkit that begins with K-Means++ clustering to address this issue. A dataset of roughly one million financial transactions from 2012 to 2024 is used. In order to identify fraudulent trades and categorize them using market practice heuristic thresholds, the study suggests a clustering-based pipeline. The method highlights 2.02% of trades as suspicious where 51.10% clearly indicate spoofing, 0.10% indicate pump and dump, 0.55% indicate insider trading, 1.43% indicate a fake breakout, and 46.83% are unclassified. Despite the lack of ground truth, the model's performance is confirmed by a Silhouette Score of 0.561.

Rafiqul Islam, Iftekharul Mobin, Md. Nazmus Shakib et al.

This paper exhibits a short-run correspondence method appropriate for swarm versatile robots application. Infrared is utilized for transmitting and accepting information and obstruction location. The infrared correspondence code based swarm signaling is utilized for an independent versatile robot communication system in this research. A code based signaling system is developed for transmitting information between different entities of robot. The reflected infrared sign is additionally utilized for separation estimation for obstruction evasion. Investigation of robot demonstrates the possibility of utilizing infrared signs to get a solid nearby correspondence between swarm portable robots. This paper exhibits a basic decentralized control for swarm of self-collecting robots. Every robot in the code based swarm signaling is completely self-governing and controlled utilizing a conduct based methodology with just infrared-based nearby detecting and correspondences. The viability of the methodology has been checked with simulation, for a set of swarm robots.