1.4k citations · 1.9k across the 15 of their papers we have counts for
16 papers
AMHRP: Adaptive Multi-Hop Routing Protocol to Improve Network Lifetime for Multi-Hop Wireless Body Area Network
Muhammad Mateen Yaqoob, Kulsoom Fatima, Shahab Shamshirband +2
This paper presents a protocol for enhancement of life time of WBAN network as well other protocol related issues such as throughput, path loss, and residual energy. Bio-sensors ar…
Evaluating the Impact of Pair Documentation on Requirements Quality and Team Productivity
Nosheen Qamar, Nosheen Sabahat, Amir Mashmool +1
The most important deliverable of the requirements engineering process is the software requirements specification(SRS)document. Requirements documentation is important during the c…
A Bayesian Framework on Asymmetric Mixture of Factor Analyser
Hamid Reza Safaeyan, Karim Zare, Mohamad R. Mahmoudi +1
Mixture of factor analyzer (MFA) model is an efficient model for the analysis of high dimensional data through which the factor-analyzer technique based on the covariance matrices…
Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark
Elham Azhir, Mehdi Hosseinzadeh, Faheem Khan +1
Access plan recommendation is a query optimization approach that executes new queries using prior created query execution plans (QEPs). The query optimizer divides the query space…
A Secure Healthcare 5.0 System Based on Blockchain Technology Entangled with Federated Learning Technique
Abdur Rehman, Sagheer Abbas, M. A. Khan +3
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale…
Application of Group Method of Data Handling and New Optimization Algorithms for Predicting Sediment Transport Rate under Vegetation Cover
Golnaz Mirzakhani, Elham Ghanbari-Adivi, Rohollah Fattahi +4
Planting vegetation is one of the practical solutions for reducing sediment transfer rates. Increasing vegetation cover decreases environmental pollution and sediment transport rat…
Energy-Exergy Analysis and Optimal Design of a Hydrogen Turbofan Engine
Mohammadreza Sabzehali, Somayeh Davoodabadi Farahani, Amir Mosavi
In this study, the effect of inlet air cooling and fuel type on the performance parameters of thrust-specific fuel consumption (TSFC), thermal and exergetic efficiencies, entropy g…
Cyclocopula Technique to Study the Relationship Between Two Cyclostationary Time Series with Fractional Brownian Motion Errors
Mohammadreza Mahmoudi, Amir Mosavi
Detection of the relationship between two time series is so important in environmental and hydrological studies. Several parametric and non-parametric approaches can be applied to…
Comparative analysis of machine learning and numerical modeling for combined heat transfer in Polymethylmethacrylate
Mahsa Dehghan Manshadi, Nima Alafchi, Alireza Taat +2
This study compares different methods to predict the simultaneous effects of conductive and radiative heat transfer in a Polymethylmethacrylate (PMMA) sample. PMMA is a kind of pol…
Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
Guodao Zhang, Shahab S. Band, Sina Ardabili +2
In this research, dew point temperature (DPT) is simulated using the data-driven approach. Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized as a data-driven technique to f…
The Effect of Marketing Investment on Firm Value and Systematic Risk
Musaab Mousa, Saeed Nosratabadi, Judit Sagi +1
Analyzing the financial benefit of marketing is still a critical topic for both practitioners and researchers. Companies consider marketing costs as a type of investment and expect…
Food Supply Chain and Business Model Innovation
Saeed Nosratabadi, Amirhosein Mosavi, Zoltan Lakner
This paper investigates the contribution of business model innovations in improvement of food supply chains. Through a systematic literature review, the notable business model inno…
Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi, Pinar Ozturk, Kwok-wing Chau
Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models contributed to risk reduction…
Sustainable Business Models: A Review
Saeed Nosratabadi, Amir Mosavi, Shahaboddin Shamshirband +3
The concept of the sustainable business model describes the rationale of how an organization creates, delivers, and captures value, in economic, social, cultural, or other contexts…
Particle swarm optimization model to predict scour depth around bridge pier
Shahaboddin Shamshirband, Amir Mosavi, Timon Rabczuk
Scour depth around bridge piers plays a vital role in the safety and stability of the bridges. Existing methods to predict scour depth are mainly based on regression models or blac…
Multiple Criteria Decision-Making Preprocessing Using Data Mining Tools
A. Mosavi
Real-life engineering optimization problems need Multiobjective Optimization (MOO) tools. These problems are highly nonlinear. As the process of Multiple Criteria Decision-Making (…