Marjan Naderan

Shahid Chamran University of Ahvaz | scu · Department of Computer Engineering

Introduction: Lung cancer, a highly prevalent disease worldwide, poses a significant risk to individuals. Nodules, which manifest as minuscule masses in the lungs, serve as crucial indicators of the early stages of the disease, with the possibility of being either benign or malignant in nature. Prompt diagnosis of this ailment plays a pivotal role...

This book is an elementary book on some types of wireless networks which are more popular such as WiFi, Bluetooth and Mobile cellular networks. It also includes mobility management techniques such as MobileIP. It can be used as a reference book for the undergraduate course "Mobile and Wireless Networks" for B.Sc. students of computer engineering.

During the last decade, music streaming services have extended a lot and attracted many users around the world. One of the main challenges in the field of categorizing and recommending music to users is recognizing the genre of music. Music genre is a conventional category used to describe the characteristics of pieces of music that belong to a com...

Software Defined Networks (SDNs) is an emerging concept in network architectures, which divides the network operations into two, control and data, layers. In this concept, control and management operations are moved from the network devices to the controller and inside the control plane. This separation makes it possible to incorporate network devi...

As a growing issue, there is no formal and universally accepted definition of the Internet of Things. Browsing the literature in this area, one finds that every single researcher and organization has interpreted this technology as they understand it. As a result, 116 various definitions of this emerging technology have been proposed so far. This re...

Due to the increasing development and applications of the Internet of Things (IoT), detection and prevention of intruders into the network and devices has gained many attentions in the past decade. For this challenge, traditional solutions of Intrusion Detection Systems (IDS) are not responsive in IoT environments or at least may not be very effici...

According to the paradigm of the Internet of Things (IoT), physical devices are connected to each other and to the Internet such that they operate automatically. One of the major challenges in the IoT is to detect and prevent intruders into the network and devices, a challenge that traditional solutions of Intrusion Detection Systems (IDS) are not...

Recommender systems on online sales sites usually collect users' opinions about the products in two ways namely rating and reviews. In the reviews content, there is a lot of information that is less commonly used and they also differ in importance. This paper presents a review-based recommender system using a deep learning approach and the attentio...

Breast cancer is the most common cancer among women such that the existence of a precise and reliable system for the diagnosis of benign or malignant tumors is critical. Nowadays, using the results of Fine Needle Aspiration (FNA) cytology and machine learning techniques, detection and early diagnosis of this cancer can be done with greater accuracy...

According to the reports on aging population, the number of elderly people without a caregiver has increased. These people are always at high risks of adverse incidents such as increased blood pressure, a variety of stroke-leading health issues, as well as other accidents resulting in body instability and eventually hazardous falls. An uncontrolled...

سرطان پستان شایع‌ترین سرطان در میان زنان است و وجود یک سیستم دقیق و مطمئن برای تشخیص خوش¬خیم و یا بدخیم بودن توده سرطان ضروری است. امروزه با استفاده از نتایج سیتولوژی آسپیراسیون سوزنی، تکنیک‌های داده‌کاوی و یادگیری ماشین می‌توان شناسایی و تشخیص زود هنگام سرطان پستان را با دقت بالاتری انجام داد. در این مقاله روشی پیشنهاد شده است که شامل دو مرحله است...

In this paper, a fuzzy ontology for Semantic Sensor Networks (SSN) is proposed for smart homes in two phases. In the first phase, using the WordNet ontology, the location and type of an object is identified with the aid of a graphical interface. This object and its synonyms are added to the list of the known objects set. Succeeding, the relation of...

Nowadays, huge amounts of text data are generated due to the increase of communications, over various web sites and applications. Evaluation and extraction of information from these data is an important task, one way of which is named opinion mining. The purpose of this paper is sentiment analysis of users’ opinions about various products. The prop...

Cloud computing is an Internet based computing environment, where storage and computing resources are assigned dynamically among users according to their needs, using the virtualization technology. Virtualization is an underlying infrastructure of cloud computing, and has led to certain security problems during the development of cloud computing. O...

In this paper, we suggest a bipartite algorithm, based on ant colony with fuzzy clustering, namely ACFC, for finding communities in social networks. First, we use artificial ants to traverse the network modeled by a graph based on a set of rules to find a 'good region' of edges. Next, we construct the communities after which local optimisation meth...

سرطان پستان شایع‌ترین سرطان در میان زنان است و وجود یک سیستم دقیق و مطمئن برای تشخیص خوش¬خیم و یا بدخیم بودن توده سرطان ضروری است. امروزه با استفاده از نتایج سیتولوژی آسپیراسیون سوزنی و تکنیک‌های داده‌کاوی و یادگیری ماشین می‌توان شناسایی و تشخیص زود هنگام سرطان پستان را با دقت بالاتری انجام داد. در این مطالعه روشی پیشنهاد شده است که شامل دو مرحله ا...

Abstarct-Social netwroks have become the main infrastructure of today's daily activities of people during the last decade. In these networks, users interact with each other, share their interests on resources and present their opinions about these resources or spread their information. Since each user has a limited knowledge of other users and most...

In this paper, we suggest a bipartite algorithm, based on ant colony with fuzzy clustering, namely ACFC, for finding communities in social networks. First, we use artificial ants to traverse the network modeled by a graph based on a set of rules to find a 'good region' of edges. Next, we construct the communities after which local optimization meth...

The emergence of digital information era and rapid development of the Internet makes information to change gradually from paper form to the electronic one. This makes the users capable to search the news and books in an electronic way. Thus, the existence of systems for information retrieval appears to be essential. This paper suggests a system for...

The number of intelligent devices that are able to connect to the Internet and create networks to communicate with each other is increasing every day. These devices and networks are called Internet of Things (IoT). These networks usually contain wireless sensors. In addition to heterogeneity of these devices, formats of their data, measurement meth...

Lung cancer is one of the hardest and most dangerous types of known cancer in the world which can be detected in its beginning stages as a small mass of tissue, less than 3 cm in diameter, called a nodule. These nodules are classified to two classes of benign or malignant. In this paper, a detection system for detection and classification of lung n...

Nowadays, social networks with hundreds of millions user are regarded as powerful tools to conduct the information flow about communications in modern societies. During the last decade, researchers have made a huge attention on studying and analysis of different aspects of these networks. A curiosity property of these networks is the presence of co...

Service differentiation is known as on the classic and major tasks in IP networks. We propose a novel queuing method which benefits both 'Less Impact Better Service' (LIBS) and fuzzy logic paradigms. LIBS leads us to a queuing method called non-congestive queuing, which prioritizes small packets when conditions permit to limit the delay impact of p...

http://www.civilica.com/Paper-CSITM01-CSITM01_317=%D8%AA%D9%81%DA%A9%DB%8C%DA%A9-%D8%B3%D8%B1%D9%88%DB%8C%D8%B3-%D8%AF%D8%B1-%D8%B4%D8%A8%DA%A9%D9%87-%DB%8C-%D8%A7%DB%8C%D9%86%D8%AA%D8%B1%D9%86%D8%AA-%D8%A8%D8%A7-%D8%A7%D8%B3%D8%AA%D9%81%D8%A7%D8%AF%D9%87-%D8%A7%D8%B2-%D8%B1%D9%88%D8%B4-%D8%A8%DB%8C%D9%86-%D9%84%D8%A7%DB%8C%D9%87-%D8%A7%DB%8C-%D8%A...

In this paper, we extend our previous work in which we proposed an efficient merging method to integrate dynamic clusters in a hybrid multi-target tracking clustering (HCMTT) algorithm. In this method, the tracking task is switched between static clusters as the backbone of the network and dynamic clusters, which form in boundary regions. Our propo...

In this paper, we consider the problem of assigning the sensing task to cover maximum number of targets while minimizing the energy consumption of the sensing operation. To this end, we define the sensing task as an optimization problem of adjusting the sensing range parameter jointly with selection of nodes in a target coverage mission. We derive...

Mobile object tracking in Wireless Sensor Networks (WSNs) has gained much attention during recent years owing to its growing application potential for the ubiquitous society. In this paper, we present an investigation and taxonomy of the state-of-the-art in tracking moving objects in WSNs. To this end, we define the target tracking problem in gener...

Mobile Target Tracking is viewed as one of the primary applications in Wireless Sensor Networks (WSNs). Due to WSNs' special characteristics, there happens to be a trade-off between tracking accuracy and energy consumption. We propose an efficient multi-target tracking method in which the tracking task is switched between static clusters as the bac...

Coverage and tracking of multiple targets, are viewed as important challenges in WSNs, mainly aimed for future ubiquitous and pervasive applications. Target coverage in WSNs with large numbers of sensor nodes and targets, and with a predefined placement of sensors, may be conducted through adjusting the sensing range and considering the energy cons...

In this paper, we formulate the problem of multiple targets coverage in WSNs as determining the sensing range of each sensor node to maximize total utility of the network. Our utility model includes a logarithmic function of sensing range for the utility of each sensor node as an approximation to the number of targets it covers. We used the dual de...

In this paper, we have modeled the problem of adjusting the sensing range parameter for the application of multiple target coverage in wireless sensor networks (WSNs) through the Network Utility Maximization (NUM) framework. Our problem consists of maximizing the logarithm of sensing range of each sensor node as an approximation to the number of co...

Mobile object tracking in wireless sensor networks (WSNs) has gained much attention during recent years due to the special characteristics of these networks. Considering the wide application of tracking in WSNs, various problems of data aggregation, routing, scheduling and energy conservation have been revisited and new solutions have been proposed...

Overlay multicast has gained much attention in recent years as an alternative method to network layer multicast, especially for mobile ad hoc networks(MANETs). In this paper, we propose a new overlay multicast protocol to achieve simplicity of deployment, rapid adaptation of overlay structure when nodes move, and reduced delay. In our algorithm, to...