Jafari Navimipour, Nima
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Jafari Navimipour,Nima
JAFARI NAVIMIPOUR, Nima
N. Jafari Navimipour
Jafari Navimipour, Nima
Jafari Navimipour,N.
J.,Nima
JAFARI NAVIMIPOUR, NIMA
Jafari Navimipour, N.
Nima Jafari Navimipour
Nima JAFARI NAVIMIPOUR
Jafari Navimipour, NIMA
Jafari Navimipour N.
NIMA JAFARI NAVIMIPOUR
J., Nima
Nima, Jafari Navimipour
Navimipour, Nima Jafari
Navimipour, N.J.
Navimpour, Nima Jafari
Navımıpour, Nıma Jafarı
Jafari Navimipour, Nima Jafari
JAFARI NAVIMIPOUR, Nima
N. Jafari Navimipour
Jafari Navimipour, Nima
Jafari Navimipour,N.
J.,Nima
JAFARI NAVIMIPOUR, NIMA
Jafari Navimipour, N.
Nima Jafari Navimipour
Nima JAFARI NAVIMIPOUR
Jafari Navimipour, NIMA
Jafari Navimipour N.
NIMA JAFARI NAVIMIPOUR
J., Nima
Nima, Jafari Navimipour
Navimipour, Nima Jafari
Navimipour, N.J.
Navimpour, Nima Jafari
Navımıpour, Nıma Jafarı
Jafari Navimipour, Nima Jafari
Job Title
Doç. Dr.
Email Address
Main Affiliation
Computer Engineering
Computer Engineering
05. Faculty of Engineering and Natural Sciences
01. Kadir Has University
Computer Engineering
05. Faculty of Engineering and Natural Sciences
01. Kadir Has University
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
15
LIFE ON LAND
0
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
14
LIFE BELOW WATER
2
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
3
GOOD HEALTH AND WELL-BEING
12
Research Products
17
PARTNERSHIPS FOR THE GOALS
0
Research Products
4
QUALITY EDUCATION
0
Research Products
2
ZERO HUNGER
5
Research Products
10
REDUCED INEQUALITIES
0
Research Products
7
AFFORDABLE AND CLEAN ENERGY
10
Research Products
13
CLIMATE ACTION
1
Research Products
1
NO POVERTY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
18
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
5
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
9
Research Products
5
GENDER EQUALITY
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output
113
Articles
101
Views / Downloads
1331/14462
Supervised MSc Theses
3
Supervised PhD Theses
1
WoS Citation Count
3263
Scopus Citation Count
4063
WoS h-index
32
Scopus h-index
34
Patents
0
Projects
0
WoS Citations per Publication
28.88
Scopus Citations per Publication
35.96
Open Access Source
28
Supervised Theses
4
| Journal | Count |
|---|---|
| Nano Communication Networks | 6 |
| Sustainable Computing-Informatics & Systems | 5 |
| Cluster Computing | 5 |
| International Journal of Communication Systems | 4 |
| Multimedia Tools and Applications | 4 |
Current Page: 1 / 14
Scopus Quartile Distribution
Competency Cloud
113 results
Scholarly Output Search Results
Now showing 1 - 10 of 113
Article Citation - WoS: 4Citation - Scopus: 8Quantum-based serial-parallel multiplier circuit using an efficient nano-scale serial adder(Soc Microelectronics, Electron Components Materials-midem, 2024) Wu, Hongyu; Jiang, Shuai; Seyedi, Saeid; Navimipour, Nima JafariQuantum dot cellular automata (QCA) is one of the newest nanotechnologies. The conventional complementary metal oxide semiconductor (CMOS) technology was superbly replaced by QCA technology. This method uses logic states to identify the positions of individual electrons rather than defining voltage levels. A wide range of optimization factors, including reduced power consumption, quick transitions, and an extraordinarily dense structure, are covered by QCA technology. On the other hand, the serialparallel multiplier (SPM) circuit is an important circuit by itself, and it is also very important in the design of larger circuits. This paper defines an optimized circuit of SPM circuit using QCA. It can integrate serial and parallel processing benefits altogether to increase efficiency and decrease computation time. Thus, all these mentioned advantages make this multiplier framework a crucial element in numerous applications, including complex arithmetic computations and signal processing. This research presents a new QCAbased SPM circuit to optimize the multiplier circuit's performance and enhance the overall design. The proposed framework is an amalgamation of highly performance architecture with efficient path planning. Other than that, the proposed QCA-based SPM circuit is based on the majority gate and 1-bit serial adder (BSA). BCA circuit has 34 cells and a 0.04 mu m2 area and uses 0.5 clock cycles. The outcomes showed the suggested QCA-based SPM circuit occupies a mere 0.28 mu m 2 area, requires 222 QCA cells, and demonstrates a latency of 1.25 clock cycles. This work contributes to the existing literature on QCA technology, also emphasizing its capabilities in advancing VLSI circuit layout via optimized performance.Article Citation - WoS: 1Citation - Scopus: 1Scalable and Low-Power Reversible Logic for Future Devices: QCA and IBM-Based Gate Realization(Elsevier, 2025) Ahmadpour, Seyed-Sajad; Navimipour, Nima Jafari; Zohaib, Muhammad; Misra, Neeraj Kumar; Pour, Mahsa Rastegar; Rasmi, Hadi; Das, Jadav ChandraOne such revolutionary approach to changing the nano-electronic landscape is integrating reversible logic with quantum dot technology that will replace the conventional complementary metal-oxide semiconductors (CMOS) circuits for ultra-high speed, low density, and energy-efficient digital designs. The implementation of the reversible structure under the most inflexible conditions, as executed by quantum laws, is a highly challenging task. Furthermore, the enormous occupying areas seriously compromise the accuracy of the output in quantum dot circuits. Because of this challenge, quantum circuits can be employed as fundamental building blocks in highperformance digital systems since their implementation has a key impact on overall system performance. This study discusses a paradigm shift in nanoscale digital design by using a 4 x 4 reversible gate that redefines the basis of efficiency and precision. This reversible gate is elaborately used in a reversible full-adder circuit, fully symbolizing the core of minimum area, ultra-low energy consumption, and perfect output accuracy. The proposed reversible circuits have been fully realized using quantum-dot cellular automata technology (QCA), simulated, and verified by the highly reliable tool such as Qiskit IBM and QCADesigner 2.0.3. Furthermore, simulations results demonstrated the superiority of the QCA-based proposed adder, which reduced occupied area by 7.14 %, and cell count by 11.57 %, respectively. This work resolves some problems and opens new boundaries toward the future of digital circuits by addressing the main challenges of stability and pushing the boundaries of reversible logic design.Book Part Citation - Scopus: 2Machine/Deep Learning Techniques for Multimedia Security(inst Engineering Tech-iet, 2023) Heidari, Arash; Navimipour, Nima Jafari; Azad, PoupakMultimedia security based on Machine Learning (ML)/ Deep Learning (DL) is a field of study that focuses on using ML/DL techniques to protect multimedia data such as images, videos, and audio from unauthorized access, manipulation, or theft. Developing and implementing algorithms and systems that use ML/DL techniques to detect and prevent security breaches in multimedia data is the main subject of this field. These systems use techniques like watermarking, encryption, and digital signature verification to protect multimedia data. The advantages of using ML/DL in multimedia security include improved accuracy, scalability, and automation. ML/DL algorithms can improve the accuracy of detecting security threats and help identify multimedia data vulnerabilities. Additionally, ML models can be scaled up to handle large amounts of multimedia data, making them helpful in protecting big datasets. Finally, ML/DL algorithms can automate the process of multimedia security, making it easier and more efficient to protect multimedia data. The disadvantages of using ML/DL in multimedia security include data availability, complexity, and black box models. ML and DL algorithms require large amounts of data to train the models, which can sometimes be challenging. Developing and implementing ML algorithms can also be complex, requiring specialized skills and knowledge. Finally, ML/DL models are often black box models, which means it can be difficult to understand how they make their decisions. This can be a challenge when explaining the decisions to stakeholders or auditors. Overall, multimedia security based on ML/DL is a promising area of research with many potential benefits. However, it also presents challenges that must be addressed to ensure the security and privacy of multimedia data.Article Citation - WoS: 11Citation - Scopus: 13A Nano-Scale Design of Vedic Multiplier for Electrocardiogram Signal Processing Based on a Quantum Technology(Aip Publishing, 2025) Wang, Yuyao; Darbandi, Mehdi; Ahmadpour, Seyed-Sajad; Navimipour, Nima Jafari; Navin, Ahmad Habibizad; Heidari, Arash; Anbar, MohammadAn electrocardiogram (ECG) measures the electric signals from the heartbeat to diagnose various heart issues; nevertheless, it is susceptible to noise. ECG signal noise must be removed because it significantly affects ECG signal characteristics. In addition, speed and occupied area play a fundamental role in ECG structures. The Vedic multiplier is an essential part of signal processing and is necessary for various applications, such as ECG, clusters, and finite impulse response filter architectures. All ECGs have a Vedic multiplier circuit unit that is necessary for signal processing. The Vedic multiplier circuit always performs multiplication and accumulation steps to execute continuous and complex operations in signal processing programs. Conversely, in the Vedic multiplier framework, the circuit speed and occupied area are the main limitations. Fixing these significant defects can drastically improve the performance of this crucial circuit. The use of quantum technologies is one of the most popular solutions to overcome all previous shortcomings, such as the high occupied area and speed. In other words, a unique quantum technology like quantum dot cellular automata (QCA) can easily overcome all previous shortcomings. Thus, based on quantum technology, this paper proposes a multiplier for ECG using carry skip adder, half-adder, and XOR circuits. All suggested frameworks utilized a single-layer design without rotated cells to increase their operability in complex architectures. All designs have been proposed with a coplanar configuration in view, having an impact on the circuits' durability and stability. All proposed architectures have been designed and validated with the tool QCADesigner 2.0.3. All designed circuits showed a simple structure with minimum quantum cells, minimum area, and minimum delay with respect to state-of-the-art structures.Publication Citation - WoS: 49Citation - Scopus: 55Everything You Wanted To Know About Chatgpt: Components, Capabilities, Applications, and Opportunities(John Wiley & Sons Ltd, 2024) Heidari, Arash; Navimipour, Nima Jafari; Zeadally, Sherali; Chamola, VinayConversational Artificial Intelligence (AI) and Natural Language Processing have advanced significantly with the creation of a Generative Pre-trained Transformer (ChatGPT) by OpenAI. ChatGPT uses deep learning techniques like transformer architecture and self-attention mechanisms to replicate human speech and provide coherent and appropriate replies to the situation. The model mainly depends on the patterns discovered in the training data, which might result in incorrect or illogical conclusions. In the context of open-domain chats, we investigate the components, capabilities constraints, and potential applications of ChatGPT along with future opportunities. We begin by describing the components of ChatGPT followed by a definition of chatbots. We present a new taxonomy to classify them. Our taxonomy includes rule-based chatbots, retrieval-based chatbots, generative chatbots, and hybrid chatbots. Next, we describe the capabilities and constraints of ChatGPT. Finally, we present potential applications of ChatGPT and future research opportunities. The results showed that ChatGPT, a transformer-based chatbot model, utilizes encoders to produce coherent responses.Article Citation - Scopus: 14The Applications of the Routing Protocol for Low-Power and Lossy Networks (rpl) on the Internet of Mobile Things(John Wiley and Sons Ltd, 2022) Ghanbari, Z.; Navimipour, N.J.; Hosseinzadeh, M.; Shakeri, H.; Darwesh, A.Internet of Mobile Things (IoMT) have become very popular recently. The routing protocol for low power and lossy networks (RPL) is standardized for static topologies. However, mobility is the nature of IoT. Mobility serves as a promising candidate to harness hand-off time issues, delay in data transmission, overhead, and low packet delivery rate (PDR) effectively. This study presents a comprehensive account of the mobility-aware RPL-based routing protocols to validate and compare the experimental results. Remarkably, classification methods are used in many articles. The aim is to introduce significant research efforts to improve RPL objective functions (OF) performance in hand-off time, PDR, delay, overhead, and so forth. In this regard, a complete analysis of the existing routing protocols in IoMT has been presented to compare the results. The main focus of this study is on approaches that proposed new OFs for supporting mobility in RPL. Two main categories are considered to study RPL-based routing protocol mechanisms: The mobile and static sink. The related studies on the mobile sink are divided into three groups: Single metric-based OF, composite metric OF, and hybrid routing protocols. Also, the related works based on the static sink are categorized into four groups: Fuzzy logic-based OF, trickle timer-based OF, composite metrics-based OF, and modification control messages-based OF approach. This paper presents a detailed comparison of mechanisms in each category. It also highlights the pros, cons, open issues, and evaluated metrics of each paper. Besides, challenges of mobility in the RPL-based routing protocol mechanism in IoMT for future studies. © 2022 John Wiley & Sons Ltd.Article Citation - WoS: 7Citation - Scopus: 7A Cloud Service Composition Method Using a Fuzzy-Based Particle Swarm Optimization Algorithm(Springer, 2023) Nazif, Habibeh; Nassr, Mohammad; Al-Khafaji, Hamza Mohammed Ridha; Navimipour, Nima Jafari; Unal, MehmetIn today's dynamic business landscape, organizations heavily rely on cloud computing to leverage the power of virtualization and resource sharing. Service composition plays a vital role in cloud computing, combining multiple cloud services to fulfill complex user requests. Service composition in cloud computing presents several challenges. These include service heterogeneity, dynamic service availability, QoS (Quality of Service) constraints, and scalability issues. Traditional approaches often struggle to handle these challenges efficiently, leading to suboptimal resource utilization and poor service performance. This work presents a fuzzy-based strategy for composing cloud services to overcome these obstacles. The fact that service composition is NP-hard has prompted the use of a range of metaheuristic algorithms in numerous papers. Therefore, Particle Swarm Optimization (PSO) has been applied in this paper to solve the problem. Implementing a fuzzy-based PSO for service composition requires defining the fuzzy membership functions and rules based on the specific service domain. Once the fuzzy logic components are established, they can be integrated into the PSO algorithm. The simulation results have shown the high efficiency of the proposed method in decreasing the latency, cost, and response time.Article Citation - WoS: 119Citation - Scopus: 190Opportunities and Challenges of Artificial Intelligence and Distributed Systems To Improve the Quality of Healthcare Service(Elsevier, 2024) Aminizadeh, Sarina; Heidari, Arash; Dehghan, Mahshid; Toumaj, Shiva; Rezaei, Mahsa; Navimipour, Nima Jafari; Unal, MehmetThe healthcare sector, characterized by vast datasets and many diseases, is pivotal in shaping community health and overall quality of life. Traditional healthcare methods, often characterized by limitations in disease prevention, predominantly react to illnesses after their onset rather than proactively averting them. The advent of Artificial Intelligence (AI) has ushered in a wave of transformative applications designed to enhance healthcare services, with Machine Learning (ML) as a noteworthy subset of AI. ML empowers computers to analyze extensive datasets, while Deep Learning (DL), a specific ML methodology, excels at extracting meaningful patterns from these data troves. Despite notable technological advancements in recent years, the full potential of these applications within medical contexts remains largely untapped, primarily due to the medical community's cautious stance toward novel technologies. The motivation of this paper lies in recognizing the pivotal role of the healthcare sector in community well-being and the necessity for a shift toward proactive healthcare approaches. To our knowledge, there is a notable absence of a comprehensive published review that delves into ML, DL and distributed systems, all aimed at elevating the Quality of Service (QoS) in healthcare. This study seeks to bridge this gap by presenting a systematic and organized review of prevailing ML, DL, and distributed system algorithms as applied in healthcare settings. Within our work, we outline key challenges that both current and future developers may encounter, with a particular focus on aspects such as approach, data utilization, strategy, and development processes. Our study findings reveal that the Internet of Things (IoT) stands out as the most frequently utilized platform (44.3 %), with disease diagnosis emerging as the predominant healthcare application (47.8 %). Notably, discussions center significantly on the prevention and identification of cardiovascular diseases (29.2 %). The studies under examination employ a diverse range of ML and DL methods, along with distributed systems, with Convolutional Neural Networks (CNNs) being the most commonly used (16.7 %), followed by Long Short -Term Memory (LSTM) networks (14.6 %) and shallow learning networks (12.5 %). In evaluating QoS, the predominant emphasis revolves around the accuracy parameter (80 %). This study highlights how ML, DL, and distributed systems reshape healthcare. It contributes to advancing healthcare quality, bridging the gap between technology and medical adoption, and benefiting practitioners and patients.Article Citation - WoS: 117Citation - Scopus: 125A New Service Composition Method in the Cloud-Based Internet of Things Environment Using a Grey Wolf Optimization Algorithm and Mapreduce Framework(John Wiley and Sons Ltd, 2024) Vakili,A.; Al-Khafaji,H.M.R.; Darbandi,M.; Heidari,A.; Jafari Navimipour,N.; Unal,M.Cloud computing is quickly becoming a common commercial model for software delivery and services, enabling companies to save maintenance, infrastructure, and labor expenses. Also, Internet of Things (IoT) apps are designed to ease developers' and users' access to networks of smart services, devices, and data. Although cloud services give nearly infinite resources, their reach is constrained. Designing coherent and organized apps is made possible by integrating the cloud and IoT. Expanding facilities by combining services is a critical component of this technology. Various services may be presented in this environment based on the user's demands. Considering their Quality of Service (QoS) attributes, discovering the appropriate available atomic services to construct the needed composite service with their collaboration in an orchestration model is an NP-hard issue. This article suggests a service composition method using Grey Wolf Optimization (GWO) and MapReduce framework to compose services with optimized QoS. The simulation outcomes illustrate cost, availability, response time, and energy-saving improvements through the suggested approach. Comparing the suggested technique to three baseline algorithms, the average gain is a 40% improvement in energy savings, a 14% decrease in response time, an 11% increase in availability, and a 24% drop in cost. © 2024 John Wiley & Sons Ltd.Article Citation - Scopus: 8An Efficient Architecture of Adder Using Fault-Tolerant Majority Gate Based on Atomic Silicon Nanotechnology(Institute of Electrical and Electronics Engineers Inc., 2023) Ahmadpour, S.; Navimipour, N.J.; Bahar, A.N.; Yalcin, S.It is expected that Complementary Metal Oxide Semiconductor (CMOS) implementation with ever-smaller transistors will soon face significant issues such as device density, power consumption, and performance due to the requirement for challenging fabrication processes. Therefore, a new and promising computation paradigm, nanotechnology, can replace CMOS technology. In addition, a new frontier in computing is opened up by nanotechnology called atomic silicon, which has the same extraordinary behavior as quantum dots. Furthermore, Dangling Bond (DB) quantum dots play a vital role in atomic silicon nanotechnology. On the other hand, atomic silicon circuits are highly prone to defects, so suggested fault-tolerant structures in this technology play important roles. The addition operator holds immense significance in digital signal processing and computer arithmetic operations, making it one of the primary operations in digital circuits. Consequently, full adders have gained popularity and find widespread use in efficiently solving mathematical problems. In the following paper, we will explore the development of an efficient fault-tolerant 3-input majority gate (FT-MV3) using DBs, further enhancing the capabilities of digital circuits. A rule-based approach to the redundant DB achieves a less complex and more robust atomic silicon layout for the MV3. We use the powerful SiQAD tool to simulate all the proposed circuits. In addition, to confirm the efficiency of the proposed gate, all common defects, such as single and double dangling bond omission defects and DB dislocation defects, are examined. The suggested majority gate is 100% and 66.66% tolerant against single and double DB omission defects, respectively. Furthermore, a new full adder design is introduced using the suggested FT-MV3 gate. The results show that the suggested full adder is 44.44% and 35.35% tolerant against single and double DB omission defects. Finally, a fault-tolerant four-bit adder is designed based on the proposed full adder. IEEE
