Search Results - "Mohammadi, Mokhtar"

Detection of Frequency Modulated Signals Using a Robust IF Estimation Algorithm by Khan, Nabeel Ali, Mohammadi, Mokhtar

“…This paper presents a methodology to detect non-stationary frequency modulated signals under noise process uncertainty. The proposed method uses the…”
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Prediction of safety factors for slope stability: comparison of machine learning techniques by Mahmoodzadeh, Arsalan, Mohammadi, Mokhtar, Farid Hama Ali, Hunar, Hashim Ibrahim, Hawkar, Nariman Abdulhamid, Sazan, Nejati, Hamid Reza

“…Because of the disasters associated with slope failure, the analysis and forecasting of slope stability for geotechnical engineers are crucial. In this work,…”
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Deep Learning-Based Intrusion Detection Systems: A Systematic Review by Lansky, Jan, Ali, Saqib, Mohammadi, Mokhtar, Majeed, Mohammed Kamal, Karim, Sarkhel H. Taher, Rashidi, Shima, Hosseinzadeh, Mehdi, Rahmani, Amir Masoud

“…Nowadays, the ever-increasing complication and severity of security attacks on computer networks have inspired security researchers to incorporate different…”
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Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer by Wang, Xusheng, Gong, Cunqi, Khishe, Mohammad, Mohammadi, Mokhtar, Rashid, Tarik A.

“…The early diagnosis and the accurate separation of COVID-19 from non-COVID-19 cases based on pulmonary diffuse airspace opacities is one of the challenges…”
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Numerical and Machine learning modeling of hard rock failure induced by structural planes around deep tunnels by Mahmoodzadeh, Arsalan, Nejati, Hamid Reza, Mohammadi, Mokhtar, Salih Mohammed, Amin, Hashim Ibrahim, Hawkar, Rashidi, Shima

“…•Potential ability of XGBoost model in the prediction of rockburst in deep tunnels.•High impact of faults on the rockburst phenomenon in deep…”
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Expand Dimensional of Seismic Data and Random Noise Attenuation Using Low-Rank Estimation by Mafakheri, Javad, Kahoo, Amin Roshandel, Anvari, Rasoul, Mohammadi, Mokhtar, Radad, Mohammad, Monfared, Mehrdad Soleimani

“…Random noise attenuation in seismic data requires employing leading-edge methods to attain reliable denoised data. Efficient noise removal, effective signal…”
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Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments by Hosseinzadeh, Mehdi, Masdari, Mohammad, Rahmani, Amir Masoud, Mohammadi, Mokhtar, Aldalwie, Adil Hussain Mohammed, Majeed, Mohammed Kamal, Karim, Sarkhel H. Taher

“…Mobile edge computing (MEC) is an interesting technology aimed at providing various processing and storage resources at the edge of mobile devices (MDs)…”
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Machine Learning Techniques to Predict Rock Strength Parameters by Mahmoodzadeh, Arsalan, Mohammadi, Mokhtar, Ghafoor Salim, Sirwan, Farid Hama Ali, Hunar, Hashim Ibrahim, Hawkar, Nariman Abdulhamid, Sazan, Nejati, Hamid Reza, Rashidi, Shima

“…To accurately estimate the rock shear strength parameters of cohesion ( C ) and friction angle ( φ ), triaxial tests must be carried out at different stress…”
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Donkey and smuggler optimization algorithm: A collaborative working approach to path finding by Shamsaldin, Ahmed S., Rashid, Tarik A., Al-Rashid Agha, Rawan A., Al-Salihi, Nawzad K., Mohammadi, Mokhtar

“…Abstract Swarm Intelligence is a metaheuristic optimization approach that has become very predominant over the last few decades. These algorithms are inspired…”
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Efficient fingerprint features for gender recognition by Jalali, Shima, Boostani, Reza, Mohammadi, Mokhtar

“…After a crime scene, accurate gender recognition by fingerprint analysis is vital for detectives because precise gender recognition highly limits the search…”
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Direction of arrival estimation of sources with intersecting signature in time–frequency domain using a combination of IF estimation and MUSIC algorithm by Khan, Nabeel Ali, Ali, Sadiq, Mohammadi, Mokhtar, Haneef, Muhammad

“…Time–frequency (TF) approaches are frequently employed for source localization at low signal to noise ratio. However, TF approaches fail to achieve the desired…”
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Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review by Maaroof, Bestan B., Rashid, Tarik A., Abdulla, Jaza M., Hassan, Bryar A., Alsadoon, Abeer, Mohammadi, Mokhtar, Khishe, Mohammad, Mirjalili, Seyedali

“…Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread algorithms. It was developed by Eusuff and Lansey in 2006. SFLA is a population-based…”
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MCTE-RPL: A multi-context trust-based efficient RPL for IoT by Mohajerani, Javad, Mohammadi Ghanatghestani, Mokhtar, Hashemipour, Malihe

“…The Internet of things (IoT) is highly exposed to various attacks due to its sensitive applications, but it is very vulnerable in dealing with these attacks…”
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Forecasting Face Support Pressure During EPB Shield Tunneling in Soft Ground Formations Using Support Vector Regression and Meta-heuristic Optimization Algorithms by Mahmoodzadeh, Arsalan, Nejati, Hamid Reza, Mohammadi, Mokhtar, Ibrahim, Hawkar Hashim, Rashidi, Shima, Ibrahim, Banar Fareed

“…One of the crucial tasks during the EPB shield tunnelling is estimating the optimum tunnel face pressure (FP), which ensures self-drilling safety, helps to…”
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Forecasting tunnel geology, construction time and costs using machine learning methods by Mahmoodzadeh, Arsalan, Mohammadi, Mokhtar, Daraei, Ako, Farid Hama Ali, Hunar, Ismail Abdullah, Abdulqadir, Kameran Al-Salihi, Nawzad

“…This research intends to use machine learning approaches to predict tunnel geology and its construction time and costs. For this purpose, the Gaussian Process…”
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Convolutional Neural Networks Based Time-Frequency Image Enhancement For the Analysis of EEG Signals by Khan, Nabeel Ali, Mohammadi, Mokhtar, Ghafoor, Mubeen, Tariq, Syed Ali

“…Quadratic time-frequency (TF) methods are commonly used for the analysis, modeling, and classification of time-varying non-stationary electroencephalogram…”
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Dynamic reduction of time and cost uncertainties in tunneling projects by Mahmoodzadeh, Arsalan, Mohammadi, Mokhtar, Nariman Abdulhamid, Sazan, Hashim Ibrahim, Hawkar, Farid Hama Ali, Hunar, Ghafoor Salim, Sirwan

“…•Apply the continuous-space, discrete-state Markov process.•Forecast the ground conditions along tunnel route.•Forecast the construction time and costs of a…”
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Correction to: Convolutional neural networks based time–frequency image enhancement for the analysis of EEG signals by Khan, Nabeel Ali, Mohammadi, Mokhtar, Ghafoor, Mubeen, Tariq, Syed Ali

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Spike Detection Based on the Adaptive Time–Frequency Analysis by Mohammadi, Mokhtar, Ali Khan, Nabeel, Hassanpour, Hamid, Hussien Mohammed, Adil

“…This paper presents a novel spike detection algorithm in nonstationary signals using a time–frequency ( t – f ) approach. The proposed algorithm exploits the…”
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A Dopamine Based Adaptive Emotional Neural Network by Zare, Mohammad Amin, Boostani, Reza, Mohammadi, Mokhtar, Kouchaki, Samaneh

“…Due to the inevitable role of emotions in human learning and decision-making, different types of emotions in the form of emotional weights/neurons have also…”
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