Loading...
Search for:
zohdi--m
0.12 seconds
| # | Type | Title | Author | Publisher | Pub. Year | Subjects | Call Number |
|---|---|---|---|---|---|---|---|
| 1 | مقاله | Harmful algal blooms (red tide): a review of causes, impacts and approaches to monitoring and prediction | Zohdi, E. | Center for Environmental and Energy Research and Studies, | 2019 |
Algal bloom.
Harmful algal blooms. Phytoplankton. Red tide. Aquatic ecosystems. Algal blooms. Fundamental research. Laboratory studies. Physical and chemical parameters. Semiempirical models. Zero-dimensional models. Algae control. Aquatic ecosystem. Biomonitoring. Environmental monitoring. Laboratory method. Numerical model. Technological development. Algae. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 2 | مقاله | Demand forecasting based machine learning algorithms on customer information: an applied approach | Zohdi, M. | Springer Science and Business Media B.V, | 2022 |
Big data analytics.
Customer information. Demand forecasting. Machine learning algorithms. Supply chain management. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 3 | پایان نامه | مدل سازی روند پیشرفت کشند قرمز با نرم افزار مایک (در محدوده خلیج فارس) Red Tide Development Modelling by MIKE Software (in Persian Gulf) | زهدی، الهه Zohdi, Elahe | صنعتی شریف | 1395 | مدل سازی عددی Numerical Modeling / مدل مایک 21 Mike 21 Flow Model / کشند قرمز Red Tide / شکوفایی جلبکی Algal Bloom / ککلودینیوم Cochlodinium / کلروفیل - آ Chlorophyll-A |
08-49506
|
| 4 | پایان نامه | تحلیل کلان داده در زنجیره تأمین کسب و کارهای آنلاین Big Data Analytics In Supply Chain Of Online Businesses | زهدی، مریم Zohdi, Maryam | صنعتی شریف | 1398 | پیش بینی تقاضا Demand Forecasting / داده کاوی Data Mining / یادگیری ماشینی Machine Learning / زنجیره تامین داده محور Data-driven Supply Chain / تحلیل کلان داده Big Data Analytics / ماشین یادگیری شدید Extreme Learning Machine |
01-52880
|
| 5 | مقاله | Explanatory and numerical examination of the fractional conditions of blood stream in a limit, slanted supply route utilizing the Akbari Ganji technique | Basem, A. | 2024 |
Blood stream.
Casson's fluid parameters. Numerical examination. Blood. Blood vessels. Hemodynamics. Non Newtonian flow. Numerical methods. Akbari-ganji method. Blood streams. Casson fluid parameter. Casson fluids. Condition. Fluid parameters. Fractional derivatives. Simple++. Stenosed arteries. Reynolds number. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 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) |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 10 | مقاله | Detection-localization tradeoff in MIMO radars | Nazari Majd, M. | 2017 |
Detection.
Localization. MIMO radar. Tradeoff. Widely separated antennas. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 14 | مقاله | Adaptive filtering techniques in passive radar | Chitgarha, M. M. | 2013 |
Direct signal.
Filtering technique. Limited dynamic ranges. Passive radars. Adaptive filters. Radar. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 17 | مقاله | Silylation of hydroxy groups with HMDS under microwave irradiation and solvent-free conditions | Mojtahedi, M. M. | 2002 |
Phenols.
Silylation of alcohols. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 19 | مقاله | Agriculture for Sustainable Development to Empower Smallholder Farming Communities | Abdullah, R. | 2024 |
Farmers.
Food Security. Innovation. Poverty. Productivity. Technology. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 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. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|