Search Results for author: Sayed Pedram Haeri Boroujeni

Found 6 papers, 0 papers with code

Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication

no code implementations10 Apr 2024 Ahmad Sarlak, Hazim Alzorgan, Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Rahul Amin

To validate our approach, we used the CARLA simulator to create a dataset of annotated videos for different driving scenarios where pedestrian detection is challenging for an AV with compromised vision.

object-detection Object Detection +1

FLAME Diffuser: Grounded Wildfire Image Synthesis using Mask Guided Diffusion

no code implementations6 Mar 2024 Hao Wang, Sayed Pedram Haeri Boroujeni, Xiwen Chen, Ashish Bastola, Huayu Li, Abolfazl Razi

Thus, our proposed framework can generate a massive dataset of that images are high-quality and ground truth-paired, which well addresses the needs of the annotated datasets in specific tasks.

Fire Detection Image Generation +2

Opinion Dynamics in Social Multiplex Networks with Mono and Bi-directional Interactions in the Presence of Leaders

no code implementations29 Jan 2024 Amirreza Talebi, Sayed Pedram Haeri Boroujeni, Abolfazl Razi

We further scrutinize the convergence rates of opinion dynamics in networks with one-way versus two-way interactions.

An Efficient High-Dimensional Gene Selection Approach based on Binary Horse Herd Optimization Algorithm for Biological Data Classification

no code implementations18 Aug 2023 Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Elnaz Pashaei

This paper proposes a binary version of the Horse Herd Optimization Algorithm (BHOA) in order to solve discrete problems and select prominent feature subsets.

feature selection

A Hybrid Chimp Optimization Algorithm and Generalized Normal Distribution Algorithm with Opposition-Based Learning Strategy for Solving Data Clustering Problems

no code implementations16 Feb 2023 Sayed Pedram Haeri Boroujeni, Elnaz Pashaei

This paper is concerned with data clustering to separate clusters based on the connectivity principle for categorizing similar and dissimilar data into different groups.

Clustering

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