Loading...
Search for:
behroozi--h
0.112 seconds
| # | Type | Title | Author | Publisher | Pub. Year | Subjects | Call Number |
|---|---|---|---|---|---|---|---|
| 1 | مقاله | Temporal action localization using gated recurrent units | Keshvarikhojasteh, H. | Springer Science and Business Media Deutschland GmbH, | 2022 |
Gated recurrent units (GRUs)
Learn to rank (LTR) Temporal action localization (TAL) Recurrent neural networks. Software engineering. Accuracy rate. Action recognition. Class labels. Gated recurrent unit. Learn to rank. Learn+. Localisation. Performance. Real-world. Temporal action localization. Computers. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 2 | مقاله | Temporal action localization using gated recurrent units | Keshvarikhojasteh, H. | Springer Science and Business Media Deutschland GmbH, | 2023 |
Gated recurrent units (GRUs)
Learn to rank (LTR) Temporal action localization (TAL) |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 3 | مقاله | Sending a laplacian source using hybrid digital-analog codes | Abbasi, F. | 2014 |
Additive white Laplacian noise (AWLN) channel.
Non-linear analog coding. Bandwidth. Bandwidth compression. Channel coding. Encoding (symbols) Gaussian noise (electronic) Laplace transforms. Rayleigh fading. White noise. Analog coding. Bandwidth compression/expansion. Hybrid digital-analog (HDA) codes. Joint source-channel coding. Laplacians. Signal to noise ratio. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 4 | مقاله | On the transmission of a Laplacian source over an AWLN channel with bandwidth compression | Abbasi, F. | 2012 |
Additive white Laplacian noise (AWLN) channel.
Hybrid digital-analog (HDA) coding. Joint source channel coding. A-Laplacian. Laplacians. Lower bounds. Memoryless. Under matched. Bandwidth compression. Channel coding. Directive antennas. Laplace transforms. Signal to noise ratio. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 5 | مقاله | Three-hop untrusted relay networks with hardware imperfections and channel estimation errors for internet of things | Letafati, M. | Institute of Electrical and Electronics Engineers Inc, | 2020 |
Hardware imperfection.
Internet of Things (IoT) Physical layer security. Three-hop communication. Untrusted relay. Cooperative communication. Energy utilization. Fading (radio) Relay control systems. Signal to noise ratio. Amplifyand-forward relay. Channel estimation errors. High signalto-noise ratios (SNR) Imperfect CSI. Total energy consumption. Untrusted relays. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 6 | مقاله | Finite-SNR diversity-multiplexing tradeoff in multi-relay channels | Haddadpour, F. | 2013 |
Analytical expressions.
Closed-form expression. Decodeandforward relaying. Diversity-multiplexing tradeoffs (DMT) Line-of-sight paths. Monte-Carlo simulations. Outage probability. Commerce. Communication. Information theory. Intelligent systems. Electric relays. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 7 | مقاله | On the power allocation strategies in coordinated multi-cell networks using Stackelberg game | Haddadi, S. | Springer International Publishing | 2016 |
Coordinated multi-point joint transmission.
Power consumption. Static and dynamic clustering. Economics. Electric power utilization. Frequency division multiple access. Game theory. Coordinated multi points. Dynamic clustering. Dynamic clustering algorithm. Inter-cell interference coordinations (ICIC) Joint transmissions. Multi-cell networks. Power allocation strategies. Resource allocation problem. Clustering algorithms. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 8 | مقاله | A lattice-based compress-and-forward strategy for Gaussian two-way relay channel with direct links | Ghasemi Goojani, S. | Institute of Electrical and Electronics Engineers Inc | 2016 |
Gaussian two-way relay channel.
Lattice codes. Communication channels (information theory) Electric relays. Gaussian distribution. Capacity regions. Compress-and-forward strategies. Cut-set bound. Two-way relay channels. Channel capacity. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 9 | مقاله | A comparison between different meta-heuristic techniques in power allocation for physical layer security | Okati, N. | 2017 |
Cooperation.
Meta-heuristic. Physical layer security. Power allocation. Secrecy rate. Wireless network. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 10 | مقاله | A genetic approach in relay-jammer selection and power allocation for physical layer security | Okati, N. | Institute of Electrical and Electronics Engineers Inc, | 2017 |
Genetic algorithm.
Secrecy rate. Complex networks. Computational complexity. Cost functions. Cryptography. Genetic algorithms. Network layers. Network security. Optimization. Achievable secrecy rates. Computational complexity reductions. Conventional techniques. Cooperation. Intermediate node. Physical layer security. Relay-jammer selection. Source-destination pairs. Jamming. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 11 | مقاله | A novel genetic-based resource allocation and cooperative node selection technique for physical layer security designs | Okati, N. | Springer New York LLC, | 2017 |
Cooperative node selection.
Physical layer security. Power allocation. Self-adaptive genetic algorithm. Convex optimization. Genetic algorithms. Jamming. Network layers. Computational loads. Node selection. Non linear. Power allocations. Power constraints. Self adaptive genetic algorithm. Solution quality. Network security. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 12 | مقاله | No-Reference video quality assessment using recurrent neural networks | Otroshi Shahreza, H. | Institute of Electrical and Electronics Engineers Inc, | 2019 |
Long-Short Term Memory (LSTM)
No-Reference Assessment. Video Quality Assessment (VQA) Intelligent systems. Service industry. Signal processing. Broadcast services. No-reference video quality assessments. Quality assessment. Recurrent neural network (RNN) Sequential manners. Statistical features. Video quality assessment. Video quality metric. Recurrent neural networks. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 13 | مقاله | In-the-wild no-reference image quality assessment using deep convolutional neural networks | Otroshi Shahreza, H. | Institute of Electrical and Electronics Engineers Inc, | 2019 |
Convolution.
Convolutional neural networks. Deep neural networks. Intelligent systems. Distortion model. Human perception. Internet traffic. Multimedia data. No-reference image quality assessments. Quality measures. Video files. Image quality. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 14 | مقاله | No-Reference image quality assessment using transfer learning | Otroshi Shahreza, H. | Institute of Electrical and Electronics Engineers Inc, | 2019 |
No-Reference (NR)
Convolution. Deep neural networks. Neural networks. Problem solving. Blind. Convolutional neural network. (CNN) Image quality assessment (IQA) No references. Transfer learning. Image quality. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 15 | مقاله | Can a multi-hop link relying on untrusted amplify-and-forward relays render security? | Mamaghani, M. T. | Springer, | 2020 |
Cooperative jamming.
Multi-hop communication. Physical layer security. Untrusted AF relaying. Channel capacity. Cooperative communication. Relay control systems. Sensor nodes. Signal to noise ratio. Amplify-and-Forward relays. Closed-form expression. Communication phasis. Communications networks. Cooperative relaying. Cooperative transmission. High signalto-noise ratios (SNR) Transmission schemes. Network security. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 16 | مقاله | Dynamic programming applied to large circular arrays thinning | Tohidi, E. | Institute of Electrical and Electronics Engineers Inc, | 2018 |
Dynamic programming (DP)
Narrow beamwidth. Sidelobe level (SLL) Antenna arrays. Energy utilization. Array thinning. Beam widths. Dynamic programming algorithm. Hardware complexity. High angular resolutions. Low sidelobe level. Optimization problems. Sidelobe levels. Dynamic programming. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 17 | مقاله | Predicting the empirical distribution of video quality scores using recurrent neural networks | Otroshi Shahreza, H. | Materials and Energy Research Center, | 2020 |
Distribution.
Feature. No-Reference. Opinion Score. Recurrent Neural Network. Broadcasting. Forecasting. Quality of service. Broadcasting industry. Compression stages. Empirical distributions. Mean opinion scores. No references. Video files. Video quality. Video quality assessment. Recurrent neural networks. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 18 | مقاله | Can a multi-hop link relying on untrusted amplify-and-forward relays render security? | Tatar Mamaghani, M. | Springer, | 2021 |
Channel capacity.
Cooperative communication. Relay control systems. Sensor nodes. Signal to noise ratio. Amplify-and-Forward relays. Closed-form expression. Communication phasis. Communications networks. Cooperative relaying. Cooperative transmission. High signalto-noise ratios (SNR) Transmission schemes. Network security. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 19 | مقاله | Feature-based no-reference video quality assessment using Extra Trees | Otroshi Shahreza, H. | John Wiley and Sons Inc, | 2022 |
Forestry.
Statistical tests. Extra-trees. Feature-based. Global Internet. Internet traffic. No-reference video quality assessments. Video contents. Video data. Video features. Video sequences. [internet speed. Video recording. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 20 | مقاله | High-performance LDPC codes for CDMA applications | Haghighat, J. | Institute of Electrical and Electronics Engineers Inc, | 2002 |
CDMA.
Distance properties. Ensemble of Sorokine et al. Low-density parity-check codes. Special loop. System capacity. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|