Ehsan Nazerfard
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View article: Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images
Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images Open
Recently, significant advancements in artificial intelligence have been attributed to the integration of self-supervised learning (SSL) scheme. While SSL has shown impressive achievements in natural language processing (NLP), its progress …
View article: Reinforcement Learning-based Mixture of Vision Transformers for Video Violence Recognition
Reinforcement Learning-based Mixture of Vision Transformers for Video Violence Recognition Open
Video violence recognition based on deep learning concerns accurate yet scalable human violence recognition. Currently, most state-of-the-art video violence recognition studies use CNN-based models to represent and categorize videos. Howev…
View article: Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model
Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model Open
The significant growth of surveillance camera networks necessitates scalable AI solutions to efficiently analyze the large amount of video data produced by these networks. As a typical analysis performed on surveillance footage, video viol…
View article: Abnormal Activity Detection for the Elderly People using ConvLSTM Autoencoder
Abnormal Activity Detection for the Elderly People using ConvLSTM Autoencoder Open
Independent living for elderly people is often viewed as an impossible task, due to the great many perils and difficulties. With advancements of Ambient Intelligence, this scenario is no longer out of reach and smart homes offer a computat…
View article: Smart Irrigation IoT Solution using Transfer Learning for Neural Networks
Smart Irrigation IoT Solution using Transfer Learning for Neural Networks Open
In this paper we develop a reliable system for smart irrigation of greenhouses using artificial neural networks, and an IoT architecture. Our solution uses four sensors in different layers of soil to predict future moisture. Using a datase…
View article: Online Human Activity Recognition Employing Hierarchical Hidden Markov\n Models
Online Human Activity Recognition Employing Hierarchical Hidden Markov\n Models Open
In the last few years there has been a growing interest in Human Activity\nRecognition~(HAR) topic. Sensor-based HAR approaches, in particular, has been\ngaining more popularity owing to their privacy preserving nature. Furthermore,\ndue t…
View article: Online Human Activity Recognition Employing Hierarchical Hidden Markov Models
Online Human Activity Recognition Employing Hierarchical Hidden Markov Models Open
In the last few years there has been a growing interest in Human Activity Recognition~(HAR) topic. Sensor-based HAR approaches, in particular, has been gaining more popularity owing to their privacy preserving nature. Furthermore, due to t…
View article: Activity Recognition Using Hierarchical Hidden Markov Models on Streaming Sensor Data
Activity Recognition Using Hierarchical Hidden Markov Models on Streaming Sensor Data Open
Activity recognition from sensor data deals with various challenges, such as\noverlapping activities, activity labeling, and activity detection. Although\neach challenge in the field of recognition has great importance, the most\nimportant…