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Sawsan M. Mahmoud

Sawsan M. Mahmoud
Mustansiriyah University · Computer Engineering

Ph.D

About

30
Publications
9,807
Reads
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531
Citations
Citations since 2017
16 Research Items
381 Citations
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2017201820192020202120222023020406080

Publications

Publications (30)
Article
Full-text available
Chest diseases are among the most common diseases today. More than one million people with pneumonia enter the hospital, and about 50,000 people die annually in the U.S. alone. Also, Coronavirus disease (COVID-19) is a risky disease that threatens the health by affecting the lungs of many people around the world. Chest X-ray and CT-scan images are...
Article
Full-text available
Feature descriptor and similarity measures are the two core components in content-based image retrieval and crucial issues due to "semantic gap" between human conceptual meaning and a machine low-level feature. Recently, deep learning techniques have shown a great interest in image recognition especially in extracting features information about the...
Article
The rapid development in communications and sensors technologies make wireless sensor networks (WSNs) as essential key in several advanced applications such as internet of things (IoT). The increasing demands on using WSNs required high quality of services (QoS) because most WSNs applications have critical requirements. This work aims to offer a ro...
Article
The rapid development in communications and sensors technologies make Wireless Sensor Networks (WSNs) as essential key in several advanced applications such as Internet of Things (IoT). The increasing demands on using WSNs required high Quality of Services (QoS) because most WSNs applications have critical requirements. This work aims to offer a ro...
Preprint
Full-text available
Despite the availability of radiology devices in some health care centers, thorax diseases are considered as one of the most common health problems, especially in rural areas. In this paper, pre-trained AlexNet and ResNet-50 models are used and compared for diagnosing thorax diseases. Chest x-ray images has been used to diagnose thorax diseases and...
Article
Full-text available
Colour images are rich in visual information. The process of searching for the most similar images in large-scale database based on visual features of query image is still a challenge in Content-Based Image Retrieval (CBIR) due to a semantic gap issue. In this paper, we proposed a fusing retrieval method to diminish the gap between high-level and l...
Article
Full-text available
In recent years, radiography systems have become more used in medical fields, where they are used for diagnosing many diseases. The size of the radiographs differs, as well as the size of the body parts for each patient. So many researchers crop the radiographs manually to facilitate the diagnosis and make it more reliable. Currently, the trend tow...
Article
Full-text available
The development of Wireless Sensor Networks (WSNs) has been attained in the past few years due to its important using in wide range of application. The readings of data derived from WSN nodes are not always accurate and may contain abnormal data. This paper proposed an anomaly detection and classification algorithm in WSNs. At first, an integration...
Article
Full-text available
Received Apr 25, 2019 Revised Jul 7, 2019 Accepted Jul 18, 2019 Despite the availability of radiology devices in some health care centers, thorax diseases are considered as one of the most common health problems, especially in rural areas. By exploiting the power of the Internet of things and specific platforms to analyze a large volume of medica...
Conference Paper
Full-text available
In recent years, radiography systems have become more used in medical fields, where they are used for diagnosing many diseases. The size of the radiographs differs, as well as the size of the body parts for each patient. So many researchers crop the radiographs manually to facilitate the diagnosis and make it more reliable. Currently, the trend tow...
Article
Full-text available
Due to the limitations of a physical memory, it is quite difficult to analyze and process big datasets. The Hadoop MapReduce algorithm has been widely used to process and mine such large sets of data using the Map and Reduce functions. The main contribution of this paper is to implement MapReduce programming algorithm to analyze large set of...
Article
Full-text available
The rapid development of Smart Cities and the Internet of Thinks (IoT) is largely dependent on data obtained through Wireless Sensor Networks (WSNs). The quality of data gathered from sensor nodes is influenced by abnormalities that happen due to different reasons including, malicious attacks, sensor malfunction or noise related to communication ch...
Article
Full-text available
Nowadays, structural health monitoring is the area of a great interest of continuing research aiming at establishing a reliable condition monitoring strategy of civil engineering infrastructure. Such finding will allow moving from the schedule-based inspection policy to condition-based policy. This study is dedicated to identify the damage in reinf...
Article
Full-text available
In this article, a hybrid technique for user activities outliers detection is introduced. The hybrid technique consists of a two-stage integration of principal component analysis and fuzzy rule-based systems. In the first stage, the Hamming distance is used to measure the differences between different activities. Principal component analysis is the...
Data
Full-text available
In this paper, the application of soft computing techniques in prediction of an occupant's behaviour in an inhabited intelligent environment is ad-dressed. In this research, daily activities of elderly people who live in their own homes suffering from dementia are studied. Occupancy sensors are used to extract the movement patterns of the occupant....
Article
Full-text available
In this paper, the application of soft computing techniques in prediction of an occupant's behaviour in an inhabited intelligent environment is ad-dressed. In this research, daily activities of elderly people who live in their own homes suffering from dementia are studied. Occupancy sensors are used to extract the movement patterns of the occupant....
Conference Paper
Full-text available
The main objective of this work is to discuss our experience in utilising semantic technologies for building decision support in Dementia care systems that are based on the non-intrusive on the non-intrusive monitoring of the patient's behaviour. Our approach adopts context-aware modelling of the patient's condition to facilitate the analysis of th...
Conference Paper
Full-text available
In this paper, a user activities outlier detection system is introduced. The proposed system is implemented in a smart home environment equipped with appropriate sensory devices. An activity outlier detection system consist of a two-stage integration of Principal Component Analysis (PCA) and Fuzzy Rule-Based System (FRBS). In the first stage, the H...
Conference Paper
Full-text available
In this paper, a user activities outlier detection system is introduced. The proposed system is implemented in a smart home environment equipped with appropriate sensory devices. An activity outlier detection system consist of a two-stage integration of Principal Component Analysis (PCA) and Fuzzy Rule-Based System (FRBS). In the first stage, the H...
Conference Paper
This paper reports on our investigation into the utilisation of semantic technologies to build a Dementia Care Decision Support System based on the non-intrusive monitoring of the patient’s behaviour. Our approach adopts context-aware modelling of the patient’s condition to enable the analysis of the dynamic behaviour observations (occupants mo...
Thesis
Full-text available
The aim of this research is to investigate efficient mining of useful information from a sensor network forming an Ambient Intelligence (AmI) environment. In this thesis, we investigate methods for sup- porting independent living of the elderly (and specifically patients who are suffering from dementia) by means of equipping their home with a simple se...
Article
Full-text available
In this paper, we have described a solution for supporting independent living of the elderly by means of equipping their home with a simple sensor network to monitor their behaviour. Standard home automation sensors including movement sensors and door entry point sensors are used. By monitoring the sensor data, important information regarding any a...
Conference Paper
Full-text available
The aim of this paper is to examine the suitability of binary similarity and dissimilarity measures in identifying frequent and abnormal human behavioural patterns in a smart home. There has been an increasing interest in this subject to help the elderly and disabled people to live alone in their own homes with little help and support from their ca...
Conference Paper
Full-text available
Identifying abnormal behaviour is an important factor in activity recognition. The aim of this paper is to design a system able to detect the abnormal behaviours of daily activity living in an intelligent environment. We approach this by applying dissimilarity (distance) measures on data collected from a single inhabitant environment. The data are...
Conference Paper
Full-text available
In this paper, the trend as an important component in activities of daily living is modelled and integrated to a single-occupant occupancy simulator. Therefore, in the occupancy signal generated by the simulator, both seasonality and trend are included in occupant's movements. As the result of trends integrated to the simulator, occupancy signals w...
Conference Paper
Full-text available
In this paper, occupancy pattern extraction and prediction in an intelligent inhabited environment is addressed. The results of this research will help elderly people to live independently in their own home longer and help them in case of an emergency. Using a wireless sensor network system, daily behavioral patterns of the occupant are extracted....
Conference Paper
Full-text available
Pattern analysis and prediction of sensory data is becoming an increas- ing scientific challenge and a massive economical interest supports the need for better pattern mining techniques. The aim of this paper is to investigate efficient mining of useful information from a sensor network representing an ambient in- telligence environment. The goal i...

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Projects

Projects (3)
Project
Quality of Service (QoS) in Wireless Sensor Networks(WSNs) can be defined as the optimum number of sensors that can perform their tasks and sending information at a given time. It can perform load balancing, power-aware sleep scheduling due to network density, and sending data. In this project, the factors that affect the QoS in different topologies of WSNs are studied, analyzed and evaluated. It also proposes and implements techniques that improve the QoS of WSNs.