Ali Zamani - Academia.edu (original) (raw)

Papers by Ali Zamani

Research paper thumbnail of The Importance of Quantification of Data in Studies on the Health Effects of Exposure to Electromagnetic Fields Generated by Mobile Base Stations

Soft Computing Applications

Research paper thumbnail of A Model to Predict Breast Cancer Survivability Using Logistic Regression

Middle East Journal of Cancer, 2019

Background: Breast cancer is the most common type of cancer amongst women worldwide. Considering ... more Background: Breast cancer is the most common type of cancer amongst women worldwide. Considering its high incidence, effective detection and prognosis of this type of cancer may have a significant effect on reducing expenditures. In this study, we propose a model to predict the 60-month survivability in patients with breast cancer and investigate the effects of each feature on the obtained model. Methods: We base this model on the information gathered by the Breast Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran from 5673 patients with breast cancer. The goal of this study was to predict breast cancer survivability at early diagnosis, so the features used in the research are among those considered affordable, specifically at the initial steps of diagnosis. After preprocessing all of the cases and features, we constructed this model based on 1930 cases and 16 of their associated features using logistic regression method. The model then was evaluated with ...

Research paper thumbnail of The Assessment of Mercury Released from Dental Amalgams after Exposure to Wi-Fi and X-Ray Radiation in Artificial Saliva

Eurasian Journal of Analytical Chemistry

Research paper thumbnail of A new approach for traffic matrix estimation in high load computer networks based on graph embedding and convolutional neural network

Transactions on Emerging Telecommunications Technologies

In computer networks, transmitted traffic between origin-destination nodes has been considered a ... more In computer networks, transmitted traffic between origin-destination nodes has been considered a crucial factor in traffic engineering applications. To date, measuring the traffic directly in high load networks is difficult due to high computational costs. On the other hand, accurate estimation of network traffic by means of link load measurements and routing information is currently a challenging problem. In this paper, we propose a new approach to estimate end-to-end traffic, inspired by graph embedding. In the proposed approach, we consider a computer network as a time-varying graph. Our model provides explicit routing information to a convolutional neural network (ConvNet) estimator via link load measurements and network topological structure. When explicit routing information is provided, the learning model is only expected to embed the relations between link loads into a traffic estimation vector, instead of figuring out the routing paths. The experimental results showed that the proposed approach outperforms similar estimators in terms of lower estimation error and better tracking the fluctuations.

Research paper thumbnail of Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images

Dentomaxillofacial Radiology, 2015

The aim of this study was to design and evaluate a new method for automated localization of the i... more The aim of this study was to design and evaluate a new method for automated localization of the inferior alveolar nerve canal on CBCT images. The proposed method is based on traversing both panoramic and cross-sectional slices. For the panoramic slices, morphological skeletonization is imposed, and a modified Hough transform is used while traversing the cross-sectional slices. A total of 40 CBCT images were randomly selected. Two experts twice located the inferior alveolar nerve canal during two examinations set 6 weeks apart. Agreement between experts was achieved, and the result of this manual technique was considered the gold standard for our study. The distances for the automated method and those determined using the gold standard method were calculated and recorded. The mean time required for the automated detection was also recorded. The average mean distance error from the baseline was 0.75 ± 0.34 mm. In all, 86% of the detected points had a mean error of <1 mm compared with those determined by the manual gold standard method. The proposed method is far more accurate and faster than previous methods. It also provides more accuracy than human annotation within a shorter time.

Research paper thumbnail of A new optical photon transport Monte Carlo code for modelling parallel- and focused-element scintillation detector arrays and its use for examination of the full MTF responses of thick segmented CsI(Tl) scintillators

Research paper thumbnail of The accuracy of a designed software for automated localization of craniofacial landmarks on CBCT images

BMC Medical Imaging, 2014

Research paper thumbnail of Model-based Adaptive Target Detection in Clutter Using MIMO Radar

2006 CIE International Conference on Radar, 2006

... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +9... more ... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: sheikhi@shirazu.ac.ir Ali Zamani Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: azamani@shirazu.ac.ir ...

Research paper thumbnail of GLRT based adaptive detection for MIMO RADARS

IET International Conference on Radar Systems 2007, 2007

In this paper, the problem of adaptive target detection using temporal coherent pulse train in pr... more In this paper, the problem of adaptive target detection using temporal coherent pulse train in presence of clutter is considered for MIMO radars. We have formulated this problem as a hypothesis test. For clutter with unknown statistics two adaptive decision rules have been developed using two-steps generalized likelihood ratio test (GLRT). The performances of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper. (4 pages)

Research paper thumbnail of Asymptotically Optimal Rank Test Detection in Long Tailed Clutter

2006 CIE International Conference on Radar, 2006

ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed ... more ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed clutter is considered. For deriving the detector two assumptions are accepted. First a large number of reference samples are assumed, this assumption is realistic in a two dimensional radar detector. Besides, it is assumed that the signal to noise power ratio (SNR) is enough to achieve a considerable detection probability. As a result of these assumptions, the detector is optimum only asymptotically. The performance of this detector is compared with other commonly used rank test detectors. The results show that between these rank detectors, the performance of the rank sum test detector is very close to that of optimum detector

Research paper thumbnail of ScintSim1 : A new Monte Carlo simulation code for transport of optical photons in 2D arrays of scintillation detectors

Journal of Medical Physics, 2014

Research paper thumbnail of GLRT based adaptive detection for MIMO radars

In this paper, the problem of adaptive target detection using temporal coherent pulse train in pr... more In this paper, the problem of adaptive target detection using temporal coherent pulse train in presence of clutter is considered for MIMO radars. We have formulated this problem as a hypothesis test. For clutter with unknown statistics two adaptive decision rules have been developed using two-steps generalized likelihood ratio test (GLRT). The performances of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper. (4 pages)

Research paper thumbnail of Temporal coherent adaptive target detection for multi-input multi-output radars in clutter

Research paper thumbnail of Asymptotically Optimal Rank Test Detection in Long Tailed Clutter

ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed ... more ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed clutter is considered. For deriving the detector two assumptions are accepted. First a large number of reference samples are assumed, this assumption is realistic in a two dimensional radar detector. Besides, it is assumed that the signal to noise power ratio (SNR) is enough to achieve a considerable detection probability. As a result of these assumptions, the detector is optimum only asymptotically. The performance of this detector is compared with other commonly used rank test detectors. The results show that between these rank detectors, the performance of the rank sum test detector is very close to that of optimum detector

Research paper thumbnail of Model-Based Adaptive Target Detection In Clutter Using MIMO Radar

International Conference on …, 2006

... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +9... more ... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: sheikhi@shirazu.ac.ir Ali Zamani Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: azamani@shirazu.ac.ir ...

Research paper thumbnail of Adaptive Target Detection In Clutter Using MIMO Radar

Radar Symposium, 2006. IRS 2006. …, 2006

Early radar systems are designed based on a single antenna. Radar designers are currently inter-e... more Early radar systems are designed based on a single antenna. Radar designers are currently inter-ested to develop multi-antenna radar systems. MIMO radars utilize a multi-static architecture in which spatial coherency assumption for both transmitter antenna elements and ...

Research paper thumbnail of The Importance of Quantification of Data in Studies on the Health Effects of Exposure to Electromagnetic Fields Generated by Mobile Base Stations

Soft Computing Applications

Research paper thumbnail of A Model to Predict Breast Cancer Survivability Using Logistic Regression

Middle East Journal of Cancer, 2019

Background: Breast cancer is the most common type of cancer amongst women worldwide. Considering ... more Background: Breast cancer is the most common type of cancer amongst women worldwide. Considering its high incidence, effective detection and prognosis of this type of cancer may have a significant effect on reducing expenditures. In this study, we propose a model to predict the 60-month survivability in patients with breast cancer and investigate the effects of each feature on the obtained model. Methods: We base this model on the information gathered by the Breast Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran from 5673 patients with breast cancer. The goal of this study was to predict breast cancer survivability at early diagnosis, so the features used in the research are among those considered affordable, specifically at the initial steps of diagnosis. After preprocessing all of the cases and features, we constructed this model based on 1930 cases and 16 of their associated features using logistic regression method. The model then was evaluated with ...

Research paper thumbnail of The Assessment of Mercury Released from Dental Amalgams after Exposure to Wi-Fi and X-Ray Radiation in Artificial Saliva

Eurasian Journal of Analytical Chemistry

Research paper thumbnail of A new approach for traffic matrix estimation in high load computer networks based on graph embedding and convolutional neural network

Transactions on Emerging Telecommunications Technologies

In computer networks, transmitted traffic between origin-destination nodes has been considered a ... more In computer networks, transmitted traffic between origin-destination nodes has been considered a crucial factor in traffic engineering applications. To date, measuring the traffic directly in high load networks is difficult due to high computational costs. On the other hand, accurate estimation of network traffic by means of link load measurements and routing information is currently a challenging problem. In this paper, we propose a new approach to estimate end-to-end traffic, inspired by graph embedding. In the proposed approach, we consider a computer network as a time-varying graph. Our model provides explicit routing information to a convolutional neural network (ConvNet) estimator via link load measurements and network topological structure. When explicit routing information is provided, the learning model is only expected to embed the relations between link loads into a traffic estimation vector, instead of figuring out the routing paths. The experimental results showed that the proposed approach outperforms similar estimators in terms of lower estimation error and better tracking the fluctuations.

Research paper thumbnail of Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images

Dentomaxillofacial Radiology, 2015

The aim of this study was to design and evaluate a new method for automated localization of the i... more The aim of this study was to design and evaluate a new method for automated localization of the inferior alveolar nerve canal on CBCT images. The proposed method is based on traversing both panoramic and cross-sectional slices. For the panoramic slices, morphological skeletonization is imposed, and a modified Hough transform is used while traversing the cross-sectional slices. A total of 40 CBCT images were randomly selected. Two experts twice located the inferior alveolar nerve canal during two examinations set 6 weeks apart. Agreement between experts was achieved, and the result of this manual technique was considered the gold standard for our study. The distances for the automated method and those determined using the gold standard method were calculated and recorded. The mean time required for the automated detection was also recorded. The average mean distance error from the baseline was 0.75 ± 0.34 mm. In all, 86% of the detected points had a mean error of <1 mm compared with those determined by the manual gold standard method. The proposed method is far more accurate and faster than previous methods. It also provides more accuracy than human annotation within a shorter time.

Research paper thumbnail of A new optical photon transport Monte Carlo code for modelling parallel- and focused-element scintillation detector arrays and its use for examination of the full MTF responses of thick segmented CsI(Tl) scintillators

Research paper thumbnail of The accuracy of a designed software for automated localization of craniofacial landmarks on CBCT images

BMC Medical Imaging, 2014

Research paper thumbnail of Model-based Adaptive Target Detection in Clutter Using MIMO Radar

2006 CIE International Conference on Radar, 2006

... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +9... more ... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: sheikhi@shirazu.ac.ir Ali Zamani Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: azamani@shirazu.ac.ir ...

Research paper thumbnail of GLRT based adaptive detection for MIMO RADARS

IET International Conference on Radar Systems 2007, 2007

In this paper, the problem of adaptive target detection using temporal coherent pulse train in pr... more In this paper, the problem of adaptive target detection using temporal coherent pulse train in presence of clutter is considered for MIMO radars. We have formulated this problem as a hypothesis test. For clutter with unknown statistics two adaptive decision rules have been developed using two-steps generalized likelihood ratio test (GLRT). The performances of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper. (4 pages)

Research paper thumbnail of Asymptotically Optimal Rank Test Detection in Long Tailed Clutter

2006 CIE International Conference on Radar, 2006

ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed ... more ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed clutter is considered. For deriving the detector two assumptions are accepted. First a large number of reference samples are assumed, this assumption is realistic in a two dimensional radar detector. Besides, it is assumed that the signal to noise power ratio (SNR) is enough to achieve a considerable detection probability. As a result of these assumptions, the detector is optimum only asymptotically. The performance of this detector is compared with other commonly used rank test detectors. The results show that between these rank detectors, the performance of the rank sum test detector is very close to that of optimum detector

Research paper thumbnail of ScintSim1 : A new Monte Carlo simulation code for transport of optical photons in 2D arrays of scintillation detectors

Journal of Medical Physics, 2014

Research paper thumbnail of GLRT based adaptive detection for MIMO radars

In this paper, the problem of adaptive target detection using temporal coherent pulse train in pr... more In this paper, the problem of adaptive target detection using temporal coherent pulse train in presence of clutter is considered for MIMO radars. We have formulated this problem as a hypothesis test. For clutter with unknown statistics two adaptive decision rules have been developed using two-steps generalized likelihood ratio test (GLRT). The performances of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper. (4 pages)

Research paper thumbnail of Temporal coherent adaptive target detection for multi-input multi-output radars in clutter

Research paper thumbnail of Asymptotically Optimal Rank Test Detection in Long Tailed Clutter

ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed ... more ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed clutter is considered. For deriving the detector two assumptions are accepted. First a large number of reference samples are assumed, this assumption is realistic in a two dimensional radar detector. Besides, it is assumed that the signal to noise power ratio (SNR) is enough to achieve a considerable detection probability. As a result of these assumptions, the detector is optimum only asymptotically. The performance of this detector is compared with other commonly used rank test detectors. The results show that between these rank detectors, the performance of the rank sum test detector is very close to that of optimum detector

Research paper thumbnail of Model-Based Adaptive Target Detection In Clutter Using MIMO Radar

International Conference on …, 2006

... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +9... more ... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: sheikhi@shirazu.ac.ir Ali Zamani Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: azamani@shirazu.ac.ir ...

Research paper thumbnail of Adaptive Target Detection In Clutter Using MIMO Radar

Radar Symposium, 2006. IRS 2006. …, 2006

Early radar systems are designed based on a single antenna. Radar designers are currently inter-e... more Early radar systems are designed based on a single antenna. Radar designers are currently inter-ested to develop multi-antenna radar systems. MIMO radars utilize a multi-static architecture in which spatial coherency assumption for both transmitter antenna elements and ...