Search Results - "Peyman Jalali"

Effects of brown seaweed extract, silicon, and selenium on fruit quality and yield of tomato under different substrates by Jalali, Peyman, Roosta, Hamid Reza, Khodadadi, Mohsen, Torkashvand, Ali Mohammadi, Jahromi, Marzieh Ghanbari

“…Tomatoes (Lycopersicun esculentum L.) are an important group of vegetable crops that have high economical and nutritional value. The use of fertilizers and…”
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Effects of brown seaweed extract, silicon, and selenium on fruit quality and yield of tomato under different substrates by Peyman Jalali, Hamid Reza Roosta, Mohsen Khodadadi, Ali Mohammadi Torkashvand, Marzieh Ghanbari Jahromi

“…Tomatoes (Lycopersicun esculentum L.) are an important group of vegetable crops that have high economical and nutritional value. The use of fertilizers and…”
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A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models by Jalali, Peyman, Khare, Kshitij, Michailidis, George

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Recognizing the viscoelastic safe area of work shoe sole in the sitting posture with vibration transmissibility in the vertical direction by Jalali, Peyman, Ettefagh, Mir Mohammad, Hassannejad, Reza

“…Work shoe soles are a useful tool for decreasing the amplitude of vibration transmissibility to the human body for subjects exposed to foot-transmitted…”
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A novel numerical and artificial intelligence based approach to study anti-angiogenic drugs: Endostatin by Akbarpour Ghazani, Mehran, Soltani, M., Jalali, Peyman, Hassannejad, Reza

“…•A computer code is developed to study the effects of endostatin on endothelial cells•Endostatin is a potent anti-angiogenic agent which can suppress tumor…”
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Bayesian Estimation and Model Selection for Single and Multiple Graphical Models by Jalali, Peyman

“…Undirected Graphical Models represent a family of canonical statistical models for reconstructing interactions amongst a set of entities from multi-dimensional…”
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Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers by Jalali, Peyman, Zhou, Nengfeng, Yu, Yufei

“…Developing explainability methods for Natural Language Processing (NLP) models is a challenging task, for two main reasons. First, the high dimensionality of…”
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B-CONCORD -- A scalable Bayesian high-dimensional precision matrix estimation procedure by Jalali, Peyman, Khare, Kshitij, Michailidis, George

“…Sparse estimation of the precision matrix under high-dimensional scaling constitutes a canonical problem in statistics and machine learning. Numerous…”
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A Bayesian Approach to Joint Estimation of Multiple Graphical Models by Jalali, Peyman, Khare, Kshitij, Michailidis, George

“…The problem of joint estimation of multiple graphical models from high dimensional data has been studied in the statistics and machine learning literature, due…”
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Biomechanical study on the nonlinear stiffness behavior of the calf muscle and ground reaction force estimation during running by Jalali, Peyman, Varahram, Sina, Hassannejad, Reza, Ettefagh, Mir mohammad

“…Understanding the biomechanical behavior of the human body in different conditions of locomotion can be very advantageous for many purposes, such as developing…”
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An active model for gastrocnemius muscle activity to predict the impact force during running by Jalali, Peyman, Noorani, M.-R Sayyed, Hassannejad, Reza, Ettefagh, Mir Mohammad

“…Several mass-spring-damper (MSD) models have been developed to study biodynamical characteristics of the body during running, especially the ground reaction…”
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