A5101783128- Mobile Crowdsensing and Crowdsourcing
- User Authentication and Security Systems
- Visual Attention and Saliency Detection
- Advanced Malware Detection Techniques
- Spam and Phishing Detection
- Open Source Software Innovations
- Digital and Cyber Forensics
- Data Stream Mining Techniques
- Cybercrime and Law Enforcement Studies
- Image and Video Quality Assessment
- Data Management and Algorithms
- Web Data Mining and Analysis
- Algorithms and Data Compression
- Robotics and Automated Systems
- Data Mining Algorithms and Applications
- IoT and Edge/Fog Computing
- Emotion and Mood Recognition
- Digital Communication and Language
- Reinforcement Learning in Robotics
- Advanced Steganography and Watermarking Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Text and Document Classification Technologies
- Adversarial Robustness in Machine Learning
- Expert finding and Q&A systems
University of Catania
2024-2025
Ragheb Esfahani Institute
2024
Academic Center for Education, Culture and Research
2024
Alzahra University
2020-2022
Monash University
2019
Qazvin Islamic Azad University
2013-2019
University of Zanjan
2019
For years, E-learning systems are around to provide students and learners with virtual educational environments in which they have no need others' assistance the process of learning. From technical point view, major goal such is improve education learning levels users through leveraging system's facilities. In this regard, it essential for system be able analyze users' functions behaviors prepare them most appropriate materials. other words, core component a working efficient e-learning its...
Purpose Human or machine, which one is more intelligent and powerful for performing computing processing tasks? Over the years, researchers scientists have spent significant amounts of money effort to answer this question. Nonetheless, despite some outstanding achievements, replacing humans in intellectual tasks not yet a reality. Instead, compensate weakness machines (mostly cognitive) tasks, idea putting human loop has been introduced widely accepted. In paper, notion collective hybrid...
Robotic science and industry have been developing for many years so that nowadays we are witnessing some remarkable achievement ever-progressing advancements in this field. However, is only one side of the coin technology. The other cases most important aspect regard acceptance adoption (A&A) such a technology by users, i.e. humans. Generally, being accepted may guarantee survival development more affects users' life, studying its conditions bilateral interaction with Specifically, case...
From the early days of Soccer Robotics, they were not supposed to be only another funny game and entertaining hobby. They shaped around a specific idea in mind, beat FIFA World Cup champions by 2050. In this regard based on prospective roadmap, soccer robot field has become fertile testbed for developing Artificial Intelligence (AI) machine learning algorithms methods as well mechanical equipments design. Despite advancements achieved over years, it seems there is long way ahead meet...
From a high-level viewpoint, robotics is all about data. In other words, each robot agent for performing its designated tasks should deal with data in some form - from collecting the environment to generating internal For this reason and due broad range of possible applications, managing dealing such an important issue field. On side, different types known as invaluable treasure knowledge insight within any information system. regard, extracting hidden through mining has been center focus...
Despite some technical and conceptual criticism on the CAPTCHA its claimed effectiveness, such human interaction proofs (HIPs) are still in centre of attention. With aim designing a novel, efficient user-friendly CAPTCHA, facial expression reconstruction FERCHA, is proposed. The distinguishing challenge this schema related to perceived emotion game-like manner. In one side, weakness current machines performing cognitive tasks has been leveraged introduce strong CAPTCHA. Also, as byproduct,...
Recent advancements in video saliency prediction (VSP) have shown promising performance compared to the human visual system, whose emulation is primary goal of VSP. However, current state-of-the-art models employ spatio-temporal transformers trained on limited amounts data, hindering generalizability adaptation downstream tasks. The benefits vision foundation present a potential solution improve VSP process. adapting image domain presents significant challenges modeling scene dynamics and...
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of participants was to develop a method for predicting accurate saliency maps provided set video sequences. are widely exploited in various applications, including compression, quality assessment, visual perception studies, advertising industry, etc. For this competition, previously unused large-scale audio-visual mouse (AViMoS) dataset 1500 videos with more than 70 observers per collected using crowdsourced...
Abstract Objectives One of the primary causes women death is breast cancer. Accurate and early cancer diagnosis plays an essential role in its treatment. Computer Aided Diagnosis (CAD) system can be used to help doctors process. This study presents efficient method performance improvement CAD using thermal images. Methods The research strategy proposed algorithms feature extraction classification phases, new selection algorithm. In phase, Segmentation Fractal Texture Analysis (SFTA)...
Purpose As a relatively new computing paradigm, crowdsourcing has gained enormous attention in the recent decade. Its compliance with Web 2.0 principles, also, puts forward unprecedented opportunities to empower related services and mechanisms by leveraging humans’ intelligence problem solving abilities. With respect pivotal role of search engines information community, this paper aims investigate advantages challenges incorporating people – as intelligent agents into engines’ workflow....
From the very early days, and due to its unprecedented opportunities advantageous facilities, Web has been revolutionizing almost every aspects of human life, technology, etc. As a dynamic phenomenon, itself experienced several major evolution stages. Such fundamental changes never thought abolish predecessor technologies concepts but taking them new level functionality. In fact, these paradigm shifts are necessary inevitable in order take advantages state art approaches. this regard, social...
Purpose Over the past decade, many research works in various disciplines have benefited from endless ocean of people and their potentials (in form crowdsourcing) as an effective problem-solving strategy computational model. But nothing interesting is ever completely one-sided. Therefore, when it comes to leveraging people's power, dark side crowdsourcing, there are some possible threats that not been considered should be, such recruiting black hat crowdworkers for organizing targeted...
Since the early days of introducing eXtensible Markup Language (XML), owing to its expressive capabilities and flexibilities, it became defacto standard for representing, storing, interchanging data on Web. Such features have made XML one building blocks Semantic From another viewpoint, since documents could be considered from content, structural, semantic aspects, leveraging their semantics is very useful applicable in different domains. However, does not by itself introduce any built-in...
Leveraging the game-changer concept of crowdsourcing during recent years has been fueled a broad range scientific and operational disciplines to introduce more efficient solutions. Principally, in this approach wisdom crowds are taken as comprehensive widely-accepted solution for specific problem. In regard, employing such (partly collaborative) model can lead increased participants' satisfactory level some application area. Besides its context-specific usually computational applications,...
One of the effective approaches for managing large amounts image data is (semantic) annotation which on its own considered as a difficult task machines. To deal with this issue, leveraging humans' cognitive abilities has been become popular trend within recent years. Notwithstanding, when human annotators have no accurate contextual and/or location-related knowledge about subject matter, quality annotation/labeling process will be faced some challenges. Also, in cases due to lack such...
Nowadays, metabolic diseases are of most common health challenges individuals in different communities that impose significant costs on governments and healthcare systems. In this regard, continuous monitoring patients their relatives, collecting real world data preventive education important issues high implementation-related problems. Within the recent years, advent new technological advancements, including feature-rich smartphones, location-based technologies, Internet Things wearables as...
For more than a decade, CAPTCHAs are around to enhance the security level of broad range web-based activities such as ecommerce, online polls, etc. Although, literature topic is fertile one and there many studies in which different types tests presented; several issues that greatly question efficiency CAPTCHAs, usability accessibility problems. In this regard, efforts made improve aspects even some alternatives have been proposed. Nonetheless, it can be said CAPTCHA, despite its applications...