Loading...
Search for:
manzuri--m--t
0.135 seconds
| # | Type | Title | Author | Publisher | Pub. Year | Subjects | Call Number |
|---|---|---|---|---|---|---|---|
| 1 | مقاله | Vulnerability modeling of cryptographic hardware to power analysis attacks | Moradi, A. | 2009 |
DPA.
Glitches. SPA. Toggle-count DPA. Vulnerability. DPA. Glitches. SPA. Toggle-count DPA. Vulnerability. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 2 | مقاله | Structural image representation for image registration | Aghajani, K. | Institute of Electrical and Electronics Engineers Inc, | 2015 |
Image Registration.
Phase Congruency. Structural Image Representation. Artificial intelligence. Image processing. Image retrieval. Medical imaging. Signal processing. Virtual reality. Area based algorithms. Correlation coefficient. Mutual informations. Nonrigid image registration. Similarity metrics. Structural representation. Medical image processing. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 3 | مقاله | Single image super resolution by adaptive K-means clustering | Rahnama, J. | IEEE Computer Society, | 2018 |
Clustering.
Image quality improvement. Image recording. Image restoration. Interpolation. Super-resolution. Computer vision. Image quality. Image reconstruction. Image resolution. Interpolation. Optical resolving power. Clustering procedure. Image quality improvements. K - means clustering. Multiple image. Software techniques. Super resolution. Technical limitations. Image enhancement. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 4 | مقاله | Comparing performance of metaheuristic algorithms for finding the optimum structure of CNN for face recognition | Rikhtegar, A. | Semnan University, Center of Excellence in Nonlinear Analysis and Applications, | 2020 |
Convolutional neural network.
Face recognition. Metaheuristic algorithm. Multi-class classification. Support vector machine. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 5 | مقاله | Genetic algorithm-optimised structure of convolutional neural network for face recognition applications | Rikhtegar, A. | Institution of Engineering and Technology, | 2016 |
Algorithms.
Computer vision. Convolution. Error correction. Genetic algorithms. Neural networks. Structural optimization. Support vector machines. Computer vision applications. Controlled conditions. Convolutional neural network. Face recognition systems. Facial expressions. Feature extractor. Optimum structures. Recognition systems. Face recognition. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 6 | مقاله | Deep vision for navigation of autonomous motorcycle in urban and semi-urban environments | Mohammadkhani, M. A. | Institute of Electrical and Electronics Engineers Inc, | 2019 |
Agricultural robots.
Intelligent systems. Motorcycles. Navigation. Off road vehicles. Road vehicles. Roads and streets. Signal processing. Autonomous navigation. Design and implementations. Environment management. Highly accurate. Real-world scenario. Traffic situations. Urban environments. Vision systems. Deep neural networks. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 7 | مقاله | Using geometry modeling to find pose invariant features in face recognition | Badakhshannoory, H. | 2007 |
Computer vision.
Conformal mapping. Image processing. Angle of rotations. Frontal faces. Geometry mappings. Invariant features. Low frequencies. Pose invariants. Possible solutions. Rotated images. Face recognition. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 8 | مقاله | On the importance of the number of fanouts to prevent the glitches in DPA-resistant devices | Moradi, A. | 2008 |
Delay elements.
DPA. Dual-rail logic. Fanouts. Glitches. Pre-charge. CMOS integrated circuits. Computer science. Delay circuits. Logic circuits. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 9 | مقاله | Power analysis attacks on MDPL and DRSL implementations | Moradi, A. | Springer Verlag, | 2007 |
Cryptography.
Formal logic. DRSL. Information leakage. MDPL. Side-channel attacks. Flip flop circuits. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 10 | مقاله | Semipolynomial kernel optimization based on the fisher method | Taghizadeh, E. | 2011 |
Pattern classification.
Error rate. Fisher criterion. Fisher method. Free parameters. Kernel based methods. Kernel learning. Kernel optimizations. Linearly separable. Optimum value. Pattern classification problems. polynomial kernel. Polynomial kernels. Learning systems. Pattern recognition. Signal processing. Polynomials. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 11 | مقاله | Secure communication and archiving of low altitude remote sensing data using high capacity fragile data hiding | Akhtarkavan, E. | Springer New York LLC, | 2018 |
Fragile data hiding.
Remote sensing. Watermarking. Antennas. Digital watermarking. Discrete wavelet transforms. Steganography. Unmanned aerial vehicles (UAV) Data hiding. High capacity data hiding. Lattice vector quantization. Perceptual quality. Remote sensing applications. Remote sensing data. Secure transmission. Security. Digital storage. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 12 | مقاله | Relevant question answering in community based networks using deep LSTM neural networks | Karimi, E. | Institute of Electrical and Electronics Engineers Inc, | 2019 |
Community based question answering.
LSTM. Social network. Deep learning. Deep neural networks. Intelligent systems. Natural language processing systems. Recurrent neural networks. Social networking (online) Community-based. Community-based question answering. High-accuracy. NAtural language processing. Question Answering. Long short-term memory. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 13 | مقاله | Partially covered face detection in presence of headscarf for surveillance applications | Qezavati, H. | Institute of Electrical and Electronics Engineers Inc, | 2019 |
Face detection.
Haar cascade. Surveillance. SVM. Classification (of information) Image analysis. Large dataset. Monitoring. Security systems. Space surveillance. Support vector machines. Computer vision system. Face classification. LBPH. Office environments. Support vector machine algorithm. Surveillance applications. Surveillance systems. Surveillance video. Face recognition. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 14 | مقاله | Cross platform web-based smart tourism using deep monument mining | Etaati, M. | Institute of Electrical and Electronics Engineers Inc, | 2019 |
Convolutional neural networks.
Web-based applications. Cameras. Deep learning. Deep neural networks. Neural networks. Pattern recognition. Smartphones. Websites. Complex task. Convolutional neural network. Cross-platform. Economic revenue. Historical landmarks. Mobile phone cameras. Smart tourism. Web-based applications. Image analysis. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 15 | مقاله | Secure communication and archiving of low altitude remote sensing data using high capacity fragile data hiding | Akhtarkavan, E. | Springer New York LLC, | 2019 |
Fragile data hiding.
Remote sensing. Security. Watermarking. Antennas. Digital watermarking. Discrete wavelet transforms. Steganography. Unmanned aerial vehicles (UAV) Data hiding. High capacity data hiding. Lattice vector quantization. Perceptual quality. Remote sensing applications. Remote sensing data. Secure transmission. Digital storage. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 16 | مقاله | A Kalman filter technique applied for medical image reconstruction | Goliaei, S. | 2011 |
Kalman filter.
Blurring. Error index. Filtered back projection. Frequency domains. Human bodies. Kalman filter technique. Medical image reconstruction. Medical images. Medical science. Noise. Organic tissues. Reconstructed image. Time domain. Algorithms. Computerized tomography. Image reconstruction. Kalman filters. Time domain analysis. Tissue. Medical imaging. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 17 | مقاله | Intensity based image registration by minimizing the complexity of weighted subtraction under illumination changes | Aghajani, K. | Elsevier Ltd, | 2016 |
Illumination change.
Nonrigid image registration. Residual complexity. Similarity metric. Weighted subtraction. Algorithms. Virtual reality. Illumination changes. Similarity metrics. Image registration. Algorithm. Article. Computer assisted tomography. Illumination. Imaging and display. Interventional magnetic resonance imaging. Neurosurgery. Priority journal. Retina image. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 18 | مقاله | A new similarity measure for intensity-based image registration | Shirpour, M. | 2014 |
Intensity distortions.
Saliency. Similarity measure. Algorithms. Image registration. Medical imaging. Benchmark data. Image registration algorithm. Non-stationarities. Pixel intensities. Registration performance. WIENER filters. Pixels. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
|
| 19 | مقاله | Deep cross altitude visual interpretation for service robotic agents in smart city | Haji Abbasi, M. | Institute of Electrical and Electronics Engineers Inc, | 2018 |
Machine learning.
Complex networks. Computer vision. Decision support systems. Deep learning. Deep neural networks. Intelligent systems. Learning systems. Multi agent systems. Neural networks. Pavements. Robotics. Smart city. Visualization. Commercial applications. Deep convolutional neural networks. Management scenarios. Operating environment. Pavement inspections. Real-world simulation. Smart city applications. Visual interpretation. Decision making. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|
| 20 | مقاله | Glimpse-gaze deep vision for modular rapidly deployable decision support agent in smart jungle | Haji Abbasi, M. | Institute of Electrical and Electronics Engineers Inc, | 2018 |
Convolutional Neural Networks.
Complex networks. Computer vision. Decision support systems. Fire hazards. Intelligent systems. Multi agent systems. Neural networks. Robotics. Robots. Convolutional neural network. Data augmentation. Decision supports. Multi-agent robotic systems. Salient regions. Transfer learning. Urban environments. Visual interpretation. Deep learning. |
$stringUtil.getCallnumberViewFormat($resource.getCallNumber())
|