activity
20232026
most citedApplication of Segment Anything Model for Civil Infrastructure Defect Assessment

24 citations · 41 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management

Gerçek Budak, Faraz Gholamzadeh Gharehgheshlaghi, Melika Barjesteh Vaezi +1

The coffee supply chain is one of the most complex agri-food networks, marked by geographically dispersed production, multi-tier coordination, and high sensitivity to quality and f…

cs.LG2025★ 1 cited

PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security

Hajar Kazemi Naeini, Roya Shomali, Abolhassan Pishahang +5

The advancement of smart grid technologies necessitates the integration of cutting-edge computational methods to enhance predictive energy optimization. This study proposes a multi…

cs.CY2024

Prioritizing Risk Factors in Media Entrepreneurship on Social Networks: Hybrid Fuzzy Z-Number Approaches for Strategic Budget Allocation and Risk Management in Advertising Construction Campaigns

Ahmad Gholizadeh Lonbar, Hamidreza Hasanzadeh, Fahimeh Asgari +4

The proliferation of complex online media has accelerated the process of ideology formation, influenced by stakeholders through advertising channels. The media channels, which vary…

econ.GN2024★ 2 cited

Data Analysis of Decision Support for Sustainable Welfare in The Presence of GDP Threshold Effects: A Case Study of Interactive Data Exploration

Fahimeh Asgari, Seyedeh Gol Ara Ghoreishi, Matin Khajavi +3

Energy usage and GDP have been the subject of numerous studies over the past decades. It has been overlooked by previous studies that energy consumption correlates with economic gr…

eess.IV2023★ 5 cited

Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images

Mohsen Ahmadi, Masoumeh Farhadi Nia, Sara Asgarian +4

In this study, the main objective is to develop an algorithm capable of identifying and delineating tumor regions in breast ultrasound (BUS) and mammographic images. The technique…

cs.LG2023★ 8 cited

Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems

Maryam Nikpour, Parisa Behvand Yousefi, Hadi Jafarzadeh +5

This study confronts the growing challenges of energy consumption and the depletion of energy resources, particularly in the context of smart buildings. As the demand for energy in…