Jafar Habibi
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View article: Impacts of generative artificial intelligence on the future of labor market: A systematic review
Impacts of generative artificial intelligence on the future of labor market: A systematic review Open
Background: Generative AI (GenAI) has the ability to autonomously collect and process data to generate contents, inform decisions, solve problems, and perform tasks that typically require human reasoning. This Systematic Review is conducte…
View article: Scanning Trojaned Models Using Out-of-Distribution Samples
Scanning Trojaned Models Using Out-of-Distribution Samples Open
Scanning for trojan (backdoor) in deep neural networks is crucial due to their significant real-world applications. There has been an increasing focus on developing effective general trojan scanning methods across various trojan attacks. D…
View article: Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection
Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection Open
Despite significant progress in Anomaly Detection (AD), the robustness of existing detection methods against adversarial attacks remains a challenge, compromising their reliability in critical real-world applications such as autonomous dri…
View article: Emo3D: Metric and Benchmarking Dataset for 3D Facial Expression Generation from Emotion Description
Emo3D: Metric and Benchmarking Dataset for 3D Facial Expression Generation from Emotion Description Open
View article: A Decision Support System for Stock Selection and Asset Allocation Based on Fundamental Data Analysis
A Decision Support System for Stock Selection and Asset Allocation Based on Fundamental Data Analysis Open
Financial markets are integral to a country's economic success, yet their complex nature raises challenging issues for predicting their behaviors. There is a growing demand for an integrated system that explores the vast and diverse data i…
View article: Emo3D: Metric and Benchmarking Dataset for 3D Facial Expression Generation from Emotion Description
Emo3D: Metric and Benchmarking Dataset for 3D Facial Expression Generation from Emotion Description Open
Existing 3D facial emotion modeling have been constrained by limited emotion classes and insufficient datasets. This paper introduces "Emo3D", an extensive "Text-Image-Expression dataset" spanning a wide spectrum of human emotions, each pa…
View article: Universal Novelty Detection Through Adaptive Contrastive Learning
Universal Novelty Detection Through Adaptive Contrastive Learning Open
Novelty detection is a critical task for deploying machine learning models in the open world. A crucial property of novelty detection methods is universality, which can be interpreted as generalization across various distributions of train…
View article: ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning
ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning Open
In practical scenarios, the effectiveness of sequential recommendation systems is hindered by the user cold-start problem, which arises due to limited interactions for accurately determining user preferences. Previous studies have attempte…
View article: A Conceptual Framework for Knowledge Architecture in Large-Scale Organizations
A Conceptual Framework for Knowledge Architecture in Large-Scale Organizations Open
The main concern for most organizations in this age, which has been called the age of knowledge-based economy, is their success and superiority in competitive markets. Reviewing the parameters that might have been effective on the success …
View article: Operational scheduling of oil products pipeline with intermediate event occurrences
Operational scheduling of oil products pipeline with intermediate event occurrences Open
Oil products are the main source of energy in the world today. Distribution of these products is one of the main issues in the industry. The main tools for this work are pipelines, and along with it, railways, shipping and roads are also u…
View article: Operational Scheduling of Oil Products Pipeline with Intermediate Event Occurrences
Operational Scheduling of Oil Products Pipeline with Intermediate Event Occurrences Open
View article: Workflow Ensemble Scheduling in Edge-Based Infrastructures for Workflows with Optional and Mandatory Tasks Using Heuristic Algorithms
Workflow Ensemble Scheduling in Edge-Based Infrastructures for Workflows with Optional and Mandatory Tasks Using Heuristic Algorithms Open
View article: Hybrid Learning Approach Toward Situation Recognition and Handling
Hybrid Learning Approach Toward Situation Recognition and Handling Open
We propose a novel hybrid learning approach to gain situation awareness in smart environments by introducing a new situation identifier that combines an expert system and a machine learning approach. Traditionally, expert systems and machi…
View article: Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique
Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique Open
Online Q&A and open source communities use tags and keywords to index, categorize, and search for specific content. The most obvious advantage of tag recommendation is the correct classification of information. In this study, we used the B…
View article: Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique.
Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique. Open
Online Q&A and open source communities use tags and keywords to index, categorize, and search for specific content. The most obvious advantage of tag recommendation is the correct classification of information. In this study, we used the B…
View article: A Scalable Architecture for Monitoring IoT Devices Using Ethereum and Fog Computing
A Scalable Architecture for Monitoring IoT Devices Using Ethereum and Fog Computing Open
With the recent considerable developments in the Internet of Things (IoT), billions of resource-constrained devices are interconnected through the internet. Monitoring this huge number of IoT devices that are heterogeneous in terms of unde…
View article: Using Experts' Opinions in Machine Learning Tasks
Using Experts' Opinions in Machine Learning Tasks Open
In machine learning tasks, especially in the tasks of prediction, scientists tend to rely solely on available historical data and disregard unproven insights, such as experts' opinions, polls, and betting odds. In this paper, we propose a …
View article: Using Experts' Opinions in Machine Learning Tasks.
Using Experts' Opinions in Machine Learning Tasks. Open
In machine learning tasks, especially in the tasks of prediction, scientists tend to rely solely on available historical data and disregard unproven insights, such as experts' opinions, polls, and betting odds. In this paper, we propose a …
View article: A Scalable Architecture for Monitoring IoT Devices Using Ethereum and\n Fog Computing
A Scalable Architecture for Monitoring IoT Devices Using Ethereum and\n Fog Computing Open
With the recent considerable developments in the Internet of Things (IoT),\nbillions of resource-constrained devices are interconnected through the\ninternet. Monitoring this huge number of IoT devices that are heterogeneous in\nterms of u…
View article: Criteria Based Evaluation Framework for Service Oriented Methodologies
Criteria Based Evaluation Framework for Service Oriented Methodologies Open
Service Oriented Software Engineering is based on concepts and principles for constructing complex enterprise systems in which services as building block of the system, are distributed in large networks. The main goal of the service orient…
View article: Criteria Based Evaluation Framework for Service Oriented Methodologies
Criteria Based Evaluation Framework for Service Oriented Methodologies Open
Service Oriented Software Engineering is based on concepts and principles for constructing complex enterprise systems in which services as building block of the system, are distributed in large networks. The main goal of the service orient…
View article: Structural attributes, locational information and prices of 139750 apartment real estate listings in the city of Tehran, Iran
Structural attributes, locational information and prices of 139750 apartment real estate listings in the city of Tehran, Iran Open
The dataset contains structural attributes, locational information and prices for more than 139 thousand apartments in the city of Tehran (Iran). The data was collected from the largest national real estate website using a web crawler. It …
View article: Parasite cloud service providers: on-demand prices on top of spot prices
Parasite cloud service providers: on-demand prices on top of spot prices Open
On-demand resource provisioning and elasticity are two of the main characteristics of the cloud computing paradigm. As a result, the load on a cloud service provider (CSP) is not fixed and almost always a number of its physical resources a…
View article: Feature Model Configuration Based on Two-Layer Modelling in Software Product Lines
Feature Model Configuration Based on Two-Layer Modelling in Software Product Lines Open
The aim of the Software Product Line (SPL) approach is to improve the software development process by producing software products that match the stakeholders’ requirements. One of the important topics in SPLs is the feature model (FM) conf…
View article: RUbIn: A Framework for Reliable and Ubiquitous Inference in WSNs
RUbIn: A Framework for Reliable and Ubiquitous Inference in WSNs Open
Development of IoT applications brings a new movement to the functionality of wireless sensor networks (WSNs) from only environment sensing and data gathering to collaborative inferring and ubiquitous intelligence. In intelligent WSNs, nod…
View article: Reactive Liquid: Optimized Liquid Architecture for Elastic and Resilient\n Distributed Data Processing
Reactive Liquid: Optimized Liquid Architecture for Elastic and Resilient\n Distributed Data Processing Open
Today's most prominent IT companies are built on the extraction of insight\nfrom data, and data processing has become crucial in data-intensive businesses.\nNevertheless, the size of data which should be processed is growing\nsignificantly…
View article: Reactive Liquid: Optimized Liquid Architecture for Elastic and Resilient Distributed Data Processing
Reactive Liquid: Optimized Liquid Architecture for Elastic and Resilient Distributed Data Processing Open
Today's most prominent IT companies are built on the extraction of insight from data, and data processing has become crucial in data-intensive businesses. Nevertheless, the size of data which should be processed is growing significantly fa…
View article: Structural attributes, locational information and prices of more than 139 thousand apartment real estate listings in the city of Tehran (Iran)
Structural attributes, locational information and prices of more than 139 thousand apartment real estate listings in the city of Tehran (Iran) Open
The dataset contains structural attributes, locational information and prices for more than 139 thousand apartments in the city of Tehran (Iran). The data was collected from the largest national real estate website using a web crawler and …
View article: Hybrid multiscale modeling and prediction of cancer cell behavior
Hybrid multiscale modeling and prediction of cancer cell behavior Open
Our proposed model, which we term a hybrid multiscale modeling of cancer cell behavior, has the potential to combine the best features of both continuum and discrete models. The in silico results indicate that the 3D model can represent ke…
View article: Improving Service-Oriented Architecture Processes in Process of Automatic Services Composition Using Memory and QF, QWV Factor
Improving Service-Oriented Architecture Processes in Process of Automatic Services Composition Using Memory and QF, QWV Factor Open
The application of service-orientated architecture in organizations for implementation of complicated workflows in electronic way using composite web services has become widespread. Thus, challenging research issues have also been raised i…