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  1. Article: Blockchain-based privacy and security preserving in electronic health: a systematic review.

    Kiania, Kianoush / Jameii, Seyed Mahdi / Rahmani, Amir Masoud

    Multimedia tools and applications

    2023  , Page(s) 1–27

    Abstract: In today's world, health and medicine play an undeniable role in human life. Traditional and current Electronic Health Records (EHR) systems that are used to exchange information between medical stakeholders (patients, physicians, insurance companies, ... ...

    Abstract In today's world, health and medicine play an undeniable role in human life. Traditional and current Electronic Health Records (EHR) systems that are used to exchange information between medical stakeholders (patients, physicians, insurance companies, pharmaceuticals, medical researchers, etc.) suffer weaknesses in terms of security and privacy due to having centralized architecture. Blockchain technology ensures the privacy and security of EHR systems thanks to the use of encryption. Moreover, due to its decentralized nature, this technology prevents central failure and central attack points. In this paper, a systematic literature review (SLR) is proposed to analyze the existing Blockchain-based approaches for improving privacy and security in electronic health systems. The research methodology, paper selection process, and the search query are explained. 51 papers returned from our search criteria published between 2018 and Dec 2022 are reviewed. The main ideas, type of Blockchain, evaluation metrics, and used tools of each selected paper are discussed in detail. Finally, future research directions, open challenges, and some issues are discussed.
    Language English
    Publishing date 2023-02-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1479928-5
    ISSN 1573-7721 ; 1380-7501
    ISSN (online) 1573-7721
    ISSN 1380-7501
    DOI 10.1007/s11042-023-14488-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches.

    Rezazadeh, Bahareh / Asghari, Parvaneh / Rahmani, Amir Masoud

    Neural computing & applications

    2023  Volume 35, Issue 20, Page(s) 14739–14778

    Abstract: The infectious disease Covid-19 has been causing severe social, economic, and human suffering across the globe since 2019. The countries have utilized different strategies in the last few years to combat Covid-19 based on their capabilities, ... ...

    Abstract The infectious disease Covid-19 has been causing severe social, economic, and human suffering across the globe since 2019. The countries have utilized different strategies in the last few years to combat Covid-19 based on their capabilities, technological infrastructure, and investments. A massive epidemic like this cannot be controlled without an intelligent and automatic health care system. The first reaction to the disease outbreak was lockdown, and researchers focused more on developing methods to diagnose the disease and recognize its behavior. However, as the new lifestyle becomes more normalized, research has shifted to utilizing computer-aided methods to monitor, track, detect, and treat individuals and provide services to citizens. Thus, the Internet of things, based on fog-cloud computing, using artificial intelligence approaches such as machine learning, and deep learning are practical concepts. This article aims to survey computer-based approaches to combat Covid-19 based on prevention, detection, and service provision. Technically and statistically, this article analyzes current methods, categorizes them, presents a technical taxonomy, and explores future and open issues.
    Language English
    Publishing date 2023-05-05
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1480526-1
    ISSN 1433-3058 ; 0941-0643
    ISSN (online) 1433-3058
    ISSN 0941-0643
    DOI 10.1007/s00521-023-08612-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: An efficient filter with low memory usage for multimedia data of industrial Internet of Things.

    Goudarzi, Parisa / Rahmani, Amir Masoud

    PeerJ. Computer science

    2021  Volume 7, Page(s) e589

    Abstract: One of the essential concerns of Internet of Things (IoT) is in industrial systems or data architecture to support the evolutions in transportation and logistics. Considering the Industrial IoT (IIoT) openness, the need for accessibility, availability, ... ...

    Abstract One of the essential concerns of Internet of Things (IoT) is in industrial systems or data architecture to support the evolutions in transportation and logistics. Considering the Industrial IoT (IIoT) openness, the need for accessibility, availability, and searching of data has rapidly increased. The primary purpose of this research is to propose an Efficient Two-Dimensional Filter (ETDF) to store multimedia data of IIoT applications in a specific format to achieve faster response and dynamic updating. This filter consists of a two-dimensional array and a hash function integrated into a cuckoo filter for efficient use of memory. This study evaluates the scalability of the filter by increasing the number of requests from 10,000 to 100,000. To assess the performance of the proposed filter, we measure the parameters of access time and lookup message latency. The results show that the proposed filter improves the access time by 12%, compared to a Fast Two-Dimensional Filter (FTDF). Moreover, it improves memory usage by 20% compared to FTDF. Experiments indicate a better access time of the proposed filter compared to other filters (i.e., Bloom, quotient, cuckoo, and FTD filters). Insertion and deletion times are essential parameters in comparing filters, so they are also analyzed.
    Language English
    Publishing date 2021-06-11
    Publishing country United States
    Document type Journal Article
    ISSN 2376-5992
    ISSN (online) 2376-5992
    DOI 10.7717/peerj-cs.589
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: An efficient filter with low memory usage for multimedia data of industrial Internet of Things

    Parisa Goudarzi / Amir Masoud Rahmani

    PeerJ Computer Science, Vol 7, p e

    2021  Volume 589

    Abstract: One of the essential concerns of Internet of Things (IoT) is in industrial systems or data architecture to support the evolutions in transportation and logistics. Considering the Industrial IoT (IIoT) openness, the need for accessibility, availability, ... ...

    Abstract One of the essential concerns of Internet of Things (IoT) is in industrial systems or data architecture to support the evolutions in transportation and logistics. Considering the Industrial IoT (IIoT) openness, the need for accessibility, availability, and searching of data has rapidly increased. The primary purpose of this research is to propose an Efficient Two-Dimensional Filter (ETDF) to store multimedia data of IIoT applications in a specific format to achieve faster response and dynamic updating. This filter consists of a two-dimensional array and a hash function integrated into a cuckoo filter for efficient use of memory. This study evaluates the scalability of the filter by increasing the number of requests from 10,000 to 100,000. To assess the performance of the proposed filter, we measure the parameters of access time and lookup message latency. The results show that the proposed filter improves the access time by 12%, compared to a Fast Two-Dimensional Filter (FTDF). Moreover, it improves memory usage by 20% compared to FTDF. Experiments indicate a better access time of the proposed filter compared to other filters (i.e., Bloom, quotient, cuckoo, and FTD filters). Insertion and deletion times are essential parameters in comparing filters, so they are also analyzed.
    Keywords Industrial Internet of Things ; Efficient Two-Dimensional Filter ; Multimedia data ; Cuckoo filter ; Memory efficiency ; Quotient filter ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 005
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher PeerJ Inc.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Real-Time Scheduling in IoT Applications: A Systematic Review.

    Abolhassani Khajeh, Sima / Saberikamarposhti, Morteza / Rahmani, Amir Masoud

    Sensors (Basel, Switzerland)

    2022  Volume 23, Issue 1

    Abstract: The Internet of Things (IoT) is a telecommunication network in the next generation of applications with the rapid progress of wireless sensor network techniques that have touched many spheres of life today. Hardware, telephony, communications, storage, ... ...

    Abstract The Internet of Things (IoT) is a telecommunication network in the next generation of applications with the rapid progress of wireless sensor network techniques that have touched many spheres of life today. Hardware, telephony, communications, storage, secure platforms, software and services, and data processing platforms are all part of the IoT environment. IoT sensors collect data from their environment and share it by connecting to the Internet gateway. These sensors often perform tasks without human intervention. This article aims to review real-time scheduling in the IoT to fully understand the issues raised in this area published from 2018 to 2022. A classification for IoT applications based on practical application is provided for selected studies. Selected studies include healthcare, infrastructure, industrial applications, smart city, commercial applications, environmental protection, and general IoT applications. Studies are sorted into groups based on related applications and compared based on indicators such as performance time, energy consumption, makespan, and assessment environments depending on the provided classification. Finally, this paper discusses all reviewed studies' main concepts, disadvantages, advantages, and future work.
    MeSH term(s) Communication ; Internet ; Internet of Things
    Language English
    Publishing date 2022-12-26
    Publishing country Switzerland
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23010232
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: An Intelligent Algorithm to Predict GDP Rate and Find a Relationship Between COVID-19 Outbreak and Economic Downturn.

    Rahmani, Amir Masoud / Hosseini Mirmahaleh, Seyedeh Yasaman

    Computational economics

    2022  , Page(s) 1–20

    Abstract: With the spread of COVID-19, economic damages are challenging for governments and people's livelihood besides its dangerous and negative impact on humanity's health, which can be led to death. Various health guidelines have been proposed to tackle the ... ...

    Abstract With the spread of COVID-19, economic damages are challenging for governments and people's livelihood besides its dangerous and negative impact on humanity's health, which can be led to death. Various health guidelines have been proposed to tackle the virus outbreak including quarantine, restriction rules to imports, exports, migrations, and tourist arrival that were affected by economic depression. Providing an approach to predict the economic situation has a highlighted role in managing crisis when a country faces a problem such as a disease epidemic. We propose an intelligent algorithm to predict the economic situation that utilizes neural networks (NNs) to satisfy the aim. Our work estimates correlation coefficient based on the spearman method between gross domestic product rate (GDPR) and other economic statistics to find effective parameters on growing up and falling GDPR and also determined the NNs' inputs. We study the reported economic and disease statistics in Germany, India, Australia, and Thailand countries to evaluate the algorithm's efficiency in predicting economic situation. The experimental results demonstrate the prediction accuracy of approximately 96% and 89% for one and more months ahead, respectively. Our method can help governments to present efficient policies for preventing economic damages.
    Language English
    Publishing date 2022-10-26
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1477445-8
    ISSN 1572-9974 ; 0927-7099
    ISSN (online) 1572-9974
    ISSN 0927-7099
    DOI 10.1007/s10614-022-10332-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Flexible-Clustering Based on Application Priority to Improve IoMT Efficiency and Dependability

    Amir Masoud Rahmani / Seyedeh Yasaman Hosseini Mirmahaleh

    Sustainability, Vol 14, Iss 10666, p

    2022  Volume 10666

    Abstract: The Internet of Medical Things (IoMT) has overcome the privacy challenges of E-healthcare-based Internet of Things (IoT) systems to protect the joined people’s private records to IoMT infrastructures and support their information security in different ... ...

    Abstract The Internet of Medical Things (IoMT) has overcome the privacy challenges of E-healthcare-based Internet of Things (IoT) systems to protect the joined people’s private records to IoMT infrastructures and support their information security in different layers. By deploying various medical applications, security and privacy are challenging for the IoMT via rising communications between its layers and nodes. Some case studies aimed to solve the issues and provided various methods and protocols to identify the malicious data and information, which had almost overlooked application and service priority to targeting the research and satisfying security. We addressed the dependability and privacy problems of IoMT-based applications by presenting an intelligent algorithm for node mapping and flexible clustering (NFC) via defining a graph and employing a neural network (NN). This work proposes a flexible clustering method to categorize the healthcare service providers for timely detecting faults and identifying the proper servers to join the cluster by considering service and application priority. We improve the application dependability and privacy by about 77.3–83.2% via pruning the defective nodes and employing the neighbor components to support faulty devices’ role. By removing the failed or faulty nodes, the study reduces communication delay and energy consumption, approximately 19.3–21.7% and 10.3–11.8%, respectively.
    Keywords Internet of Medical Things (IoMT) ; Internet of Things (IoT) ; flexible clustering ; graph ; neural network (NN) ; dependability ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 303
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Toward a Versatile IoT Communication Infrastructure

    Seyed Mehdi Mousavi / Ahmad Khademzadeh / Amir Masoud Rahmani

    International Journal of Information and Communication Technology Research, Vol 14, Iss 1, Pp 25-

    2022  Volume 37

    Abstract: The IoT can lead to fundamental developments in health, education, urbanization, agriculture, industry, and other areas. Regarding the variety of different end-user applications and needs, developing a versatile communication network that can support ... ...

    Abstract The IoT can lead to fundamental developments in health, education, urbanization, agriculture, industry, and other areas. Regarding the variety of different end-user applications and needs, developing a versatile communication network that can support such diverse and heterogeneous applications is necessary to decrease the implementation costs than developing a dedicated communication network for each application. LoRa is a type of LPWAN networks that is supported by LoRa Alliance and due to long-range communication and low power and reasonable cost, IoT has become the main goal of establishing LoRa. LoRaWAN covers the protocol and architecture of the system on top of the LoRa physical layer. The LoRa physical layer uses proprietary CSS modulation. This modulation operates below the noise level and is resistant to fading, interference, and blocking attacks, and is difficult to decode. LoRa operates in the unlicensed frequency band below 1GHz with different frequencies in different geographical areas. LoRa is much more useful for IoT applications than short-range protocols such as WiFi and Bluetooth, despite limitations in data transfer speeds and QoS. Therefore, in this manuscript, considering the importance and advantages of LoRa, this protocol is introduced and its various network aspect, importance, and application are examined. Then, a solution based on the cognitive radio technique is presented for QoS improvement to utilize the LoRa technology as a kind of versatile communication infrastructure for IoT.
    Keywords component ; heterogeneous networks ; decoupled user association ; full-duplex communications ; energy harvesting ; energy efficiency ; Information technology ; T58.5-58.64 ; Telecommunication ; TK5101-6720 ; Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Iran Telecom Research Center
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: A flexible energy management approach for smart healthcare on the internet of patients (IoP).

    Mehdi, Hamid / Zarrabi, Houman / Khadem Zadeh, Ahmad / Rahmani, Amir Masoud

    The Journal of supercomputing

    2022  Volume 78, Issue 7, Page(s) 10211–10249

    Abstract: Considering the importance of biosensors on the Internet of the patient body that collect vital signs and transmit them to the coordinator, energy consumption and network lifetime are essential challenges in these networks. This paper, it has been tried ... ...

    Abstract Considering the importance of biosensors on the Internet of the patient body that collect vital signs and transmit them to the coordinator, energy consumption and network lifetime are essential challenges in these networks. This paper, it has been tried to present a method based on adapting sampling rate through patient's risk and discovered pattern by employing an intelligence method based on adaptive neuro-fuzzy inference system, interpolation function, and a biosensor patron. It causes restricting sensed and transmitted data to the coordinator. In the proposed schema, three methods containing Grid partitioning, Subtractive Clustering and fuzzy c-means have been used in two modes, including hybrid and error backpropagation, to predict the individual's behavioral pattern and determine the patient's risk, attentively. The simulation results in MATLAB R2018b show that the proposed method reduces the network communications. It has improved energy consumption by up to three times and also reduced traffic by more than 80% compared to similar methods.
    Language English
    Publishing date 2022-01-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1479917-0
    ISSN 1573-0484 ; 0920-8542
    ISSN (online) 1573-0484
    ISSN 0920-8542
    DOI 10.1007/s11227-021-04240-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Internet of Things Applications: Opportunities and Threats.

    Rahmani, Amir Masoud / Bayramov, Suleyman / Kiani Kalejahi, Behnam

    Wireless personal communications

    2021  Volume 122, Issue 1, Page(s) 451–476

    Abstract: In the century of automation, which is digitized, and more and more technology is used, automatic systems' replacement of old manual systems makes people's lives easier. Nowadays, people have made the Internet an integral part of humans' daily lives ... ...

    Abstract In the century of automation, which is digitized, and more and more technology is used, automatic systems' replacement of old manual systems makes people's lives easier. Nowadays, people have made the Internet an integral part of humans' daily lives unless they are insecure. The Internet of Things (IoT) secures a platform that authorizes devices and sensors to be remotely detected, connected, and controlled over the Internet. Due to the developments in sensor technologies, the production of tiny and low-cost sensors has increased. Many sensors, such as temperature, pressure, vibration, sound, light, can be used in the IoT. As a result of the development of these sensors with new generations, the power of the IoT technology increases, and accordingly, the revolution of IoT applications are developing rapidly. Therefore, their security issues and threats are challenging topics. In this paper, the benefits and open issues, threats, limitations of IoT applications are presented. The assessment shows that the most influential factor for evaluating IoT applications is the cost that is used in 79% of all articles, then the real-time-ness that is used in 64%, and security and error are used in 57% of all reviewed articles.
    Language English
    Publishing date 2021-08-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1479327-1
    ISSN 1572-834X ; 0929-6212
    ISSN (online) 1572-834X
    ISSN 0929-6212
    DOI 10.1007/s11277-021-08907-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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