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| # | Type | Title | Author | Publisher | Pub. Year | Subjects | Call Number |
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| 1 | مقاله | Direct introduction of semicon layers in a cable model | Hasheminezhad, M. | Sharif University of Technology, | 2008 |
Semiconductor materials.
Semicon pick-up sensor. Transient cable model. Cables. Partial discharges. Signal detection. Wave propagation. Detection method. Modeling. Sensor. Signal. |
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| 2 | مقاله | Direct introduction of semicon layers in XLPE cable model | Hasheminezhad, M. | Institute of Electrical and Electronics Engineers Inc, | 2006 |
Computer simulation.
Electric impedance. Electric potential. Mathematical models. Signal processing. Superconducting cables. Insulated cables. Partial discharge signals. Power system transients. Semiconducting layer and wave propagation. Partial discharges. |
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| 3 | مقاله | Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs | Chatterjee, K. | Association for Computing Machinery | 2016 |
Algorithms.
Concentration (process) High level synthesis. Polynomial approximation. Probability. Algorithmic synthesis. Deterministic programs. Probabilistic programs. Ranking supermartingale. Real-valued variables. Termination. Termination problems. Application programs. |
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| 4 | مقاله | A low-cost sparse recovery framework for weighted networks under compressive sensing | Mahyar, H. | Institute of Electrical and Electronics Engineers Inc, | 2015 |
Low-Cost Sparse Recovery.
Social Networks. Weighted Networks. Big data. Compressed sensing. Computer system recovery. Costs. Human computer interaction. Recovery. Signal reconstruction. Social networking (online) Extensive simulations. Real-world networks. Sparse recovery. Sparse signal recoveries. State-of-the-art methods. Topological constraints. Distributed computer systems. |
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| 5 | مقاله | Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs | Chatterjee, K. | Association for Computing Machinery | 2016 |
Algorithms.
Computational linguistics. Concentration (process) High level synthesis. Polynomial approximation. Probability. Algorithmic analysis. Algorithmic synthesis. Deterministic programs. Probabilistic programs. Ranking supermartingale. Real-valued variables. Termination. Termination problems. Application programs. |
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| 6 | مقاله | Probability of missed detection as a criterion for receiver placement in MIMO PCL | Majd, M. N. | IEEE, | 2012 |
Missed detections.
Multiple antenna. Multiple receivers. Passive radars. Radar performance. Receive antenna. Receiving antennas. MIMO radar. |
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| 7 | مقاله | An efficient method for the ring opening of epoxides with aromatic amines by Sb(III) chloride under microwave irradiation | Ghazanfari, D. | 2008 |
Epoxides.
β-amino alcohols. Aromatic amines. SbCl3. |
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| 8 | مقاله | Resource allocation for uav-enabled integrated sensing and communication (isac) via multi-objective optimization | Rezaei, O. | Institute of Electrical and Electronics Engineers Inc, | 2023 |
Integrated sensing and communication (ISAC)
Unmanned aerial vehicle (UAV) Waveform design. Wireless power transfer (WPT) |
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| 9 | مقاله | MIMO radar signal design to improve the MIMO ambiguity function via maximizing its peak | Chitgarha, M. M. | Elsevier, | 2016 |
Ambiguity function.
Multiple-Input Multiple-Output radar. Power allocation. Waterfilling. Waveform design. Codes (symbols) Design. Feedback control. MIMO systems. Radar. Radar signal processing. Radar systems. Telecommunication repeaters. Multiple input multiple output (MIMO) radars. Power allocations. MIMO radar. |
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| 10 | مقاله | Detection-localization tradeoff in MIMO radars | Nazari Majd, M. | 2017 |
Detection.
Localization. MIMO radar. Tradeoff. Widely separated antennas. |
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| 11 | مقاله | Antenna placement and power allocation optimization in MIMO detection | Radmard, M. | 2014 |
Antennas.
Transmitters. Antenna placement. Detection performance. MIMO detection. Multiple antenna. Neyman Pearson detectors. Power allocations. Total power. MIMO systems. |
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| 12 | مقاله | Ambiguity function of MIMO radar with widely separated antennas | Radmard, M. | 2014 |
Ambiguity function.
Widely separated antennas. Antennas. MIMO systems. Radar antennas. Separation. Multiple antenna. Multiple input multiple output techniques. System's performance. MIMO radar. |
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| 13 | مقاله | Choosing the position of the receiver in a MISO passive radar system | Chitgarha, M. M. | 2012 |
MIMO.
Passive Coherent Location. Receiver positioning. MIMO Multiple Input Multiple Output. MISO. Multiple antenna. Multiple receive antennas. Neyman Pearson detectors. Passive coherent locations. Passive radars. Probability of missed detections. Receive antenna. Spatial diversity. Local area networks. MIMO systems. Receiving antennas. MIMO radar. |
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| 14 | مقاله | Adaptive filtering techniques in passive radar | Chitgarha, M. M. | 2013 |
Direct signal.
Filtering technique. Limited dynamic ranges. Passive radars. Adaptive filters. Radar. |
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| 15 | مقاله | Ambiguity function based receiver placement in multi-site radar | Radmard, M. | 2017 |
Genetic algorithm.
Multi-site radar. Receiver placement. Antennas. Genetic algorithms. Radar antennas. Radar systems. Receiving antennas. Ambiguity function. Aspect angles. Multi-site. Multiple antenna. Multiple targets. Multiple transmit antennas. Receive antenna. System's performance. Radar. |
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| 16 | مقاله | Improving MIMO radar's performance through receivers' positioning | Chitgarha, M. M. | Institution of Engineering and Technology, | 2017 |
Antennas.
MIMO systems. Radar. Radar antennas. Radar signal processing. Radar systems. Receiving antennas. Ambiguity function. MIMO (multiple-input multiple output) MIMO detectors. Positioning procedures. Probability of detection. Receive antenna. System's performance. MIMO radar. |
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| 17 | مقاله | Silylation of hydroxy groups with HMDS under microwave irradiation and solvent-free conditions | Mojtahedi, M. M. | 2002 |
Phenols.
Silylation of alcohols. |
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| 18 | مقاله | An intelligent solvent selection approach in carbon capturing process: a comparative study of machine learning multi-class classification models | Pazuki, M. M. | 2024 |
Classification.
Carbon capture. Carbon capture and storage. Carbon cycle. Carbon sequestration. Contrastive learning. Direct air capture. Zero carbon. Classification models. CO2 solubility. Comparatives studies. Global emissions. Machine learning. Multi class classification. Solvent selection. Stackings. Traditional models. Weighted mean. Carbon capture and utilization. |
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| 19 | مقاله | Agriculture for Sustainable Development to Empower Smallholder Farming Communities | Abdullah, R. | 2024 |
Farmers.
Food Security. Innovation. Poverty. Productivity. Technology. |
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| 20 | مقاله | Dynamic analysis of carbon nanotubes under electrostatic actuation using modified couple stress theory | Fakhrabadi, M. M. S. | 2014 |
Electrostatic actuators.
Natural frequencies. Dynamic characteristics. Dynamic pull-in. Electrostatic actuation. Mechanical behavior. Micro and nanostructures. Modified couple stress theories. Non-linear vibrations. Various boundary conditions. Carbon nanotubes. |
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