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  • 2 x phd in cs and ee .html
  • 2 x phd in cs and ee diman zad tootaghaj.html
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  • 2 x phd in cs and ee farhat.html
  • 2 x phd in cs and ee farshid farhat.html
  • 2 x phd in cs and ee farshid.html
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  • 2 x phd in cs and ee tootaghaj.html
  • 4g wireless network diman zad tootaghaj.html
  • 4g wireless network farshid farhat.html
  • 4g wireless network farshidfarhat.html
  • A hadoop mapreduce performance prediction method diman zad tootaghaj.html
  • A hadoop mapreduce performance prediction method farhat.html
  • A hadoop mapreduce performance prediction method farshid farhat.html
  • A hadoop mapreduce performance prediction method farshid.html
  • A hadoop mapreduce performance prediction method farshidfarhat.html
  • A map reduce framework for programming graphics processors diman zad tootaghaj.html
  • A map reduce framework for programming graphics processors farhat.html
  • A map reduce framework for programming graphics processors farshid farhat.html
  • A map reduce framework for programming graphics processors farshid.html
  • A map reduce framework for programming graphics processors farshidfarhat.html
  • A map-reduce system with an alternate api for multi-core environments .html
  • A map-reduce system with an alternate api for multi-core environments diman zad tootaghaj.html
  • A map-reduce system with an alternate api for multi-core environments farshid farhat.html
  • A map-reduce system with an alternate api for multi-core environments farshid.html
  • A map-reduce system with an alternate api for multi-core environments farshidfarhat.html
  • A platform for scalable one-pass analytics using mapreduce demi.html
  • A platform for scalable one-pass analytics using mapreduce diman zad tootaghaj.html
  • A platform for scalable one-pass analytics using mapreduce diman.html
  • A platform for scalable one-pass analytics using mapreduce farhat.html
  • A platform for scalable one-pass analytics using mapreduce farshid farhat.html
  • A platform for scalable one-pass analytics using mapreduce farshidfarhat.html
  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration demi.html
  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration diman zad tootaghaj.html
  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration diman.html
  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration farhat.html
  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration farshid farhat.html
  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration farshidfarhat.html
  • A self-tuning system based on application Profiling and Performance Analysis for optimizing Hadoop MapReduce cluster configuration tootaghaj.html
  • Adapt Availability-aware mapreduce data placement for non-dedicated distributed computing demi.html
  • Adapt Availability-aware mapreduce data placement for non-dedicated distributed computing diman zad tootaghaj.html
  • Adapt Availability-aware mapreduce data placement for non-dedicated distributed computing diman.html
  • Adapt Availability-aware mapreduce data placement for non-dedicated distributed computing farhat.html
  • Adapt Availability-aware mapreduce data placement for non-dedicated distributed computing farshid farhat.html
  • Adapt Availability-aware mapreduce data placement for non-dedicated distributed computing farshidfarhat.html
  • Aesthetic Scoring .html
  • An analytical performance model of mapreduce diman zad tootaghaj.html
  • An analytical performance model of mapreduce diman.html
  • An analytical performance model of mapreduce dimanzt.html
  • An analytical performance model of mapreduce farhat.html
  • An analytical performance model of mapreduce farshid farhat.html
  • An analytical performance model of mapreduce farshid.html
  • An analytical performance model of mapreduce farshidfarhat.html
  • An analytical performance model of mapreduce tootaghaj.html
  • Apache hadoop performance-tuning methodologies and best practices diman zad tootaghaj.html
  • Apache hadoop performance-tuning methodologies and best practices farshid farhat.html
  • Apache hadoop performance-tuning methodologies and best practices farshid.html
  • Apache hadoop performance-tuning methodologies and best practices farshidfarhat.html
  • Artificial Intelligence and Photography farhat.html
  • Artificial Intelligence and Photography farshid.html
  • Artificial Intelligence and Photography farshidfarhat.html
  • Artificial Intelligence and Photography tootaghaj.html
  • Authentication and Key Agreement Protocol diman zad tootaghaj.html
  • Authentication and Key Agreement Protocol farhat.html
  • Authentication and Key Agreement Protocol frash.html
  • Authentication and Key Agreement Protocol in 4G farshidfarhat.html
  • Authentication and Key Agreement Protocol tootaghaj.html
  • Authentication protocol umts diman.html
  • Authentication protocol umts farhat.html
  • Authentication protocol umts farshidfarhat.html
  • Authentication protocol umts tootaghaj.html
  • Automatic Thumbnail Generation diman.html
  • Automatic Thumbnail Generation farhat.html
  • Automatic optimization for MapReduce programs diman zad tootaghaj.html
  • Automatic optimization for MapReduce programs diman.html
  • Automatic optimization for MapReduce programs farhat.html
  • Automatic optimization for MapReduce programs farshid farhat.html
  • Automatic optimization for MapReduce programs farshid.html
  • Automatic optimization for MapReduce programs farshidfarhat.html
  • Behavioral Analog Topology Synthesizer .html
  • Benchmarking approach for designing a mapreduce performance model diman zad tootaghaj.html
  • Benchmarking approach for designing a mapreduce performance model diman.html
  • Benchmarking approach for designing a mapreduce performance model farhat.html
  • Benchmarking approach for designing a mapreduce performance model farshid farhat.html
  • Benchmarking approach for designing a mapreduce performance model farshid.html
  • Benchmarking approach for designing a mapreduce performance model farshidfarhat.html
  • Benchmarking approach for designing a mapreduce performance model tootaghaj.html
  • Blind detection of low-rate embedding .html
  • Building high-level features using large scale unsupervised learning diman zad tootaghaj.html
  • Building high-level features using large scale unsupervised learning dimanzt.html
  • Building high-level features using large scale unsupervised learning farshid farhat.html
  • Building high-level features using large scale unsupervised learning farshidfarhat.html
  • CAPTAIN diman zad tootaghaj.html
  • CAPTAIN dimanzt.html
  • CAPTAIN farshid farhat.html
  • CAPTAIN farshid.html
  • CAPTAIN farshidfarhat.html
  • Caffe Convolutional architecture for fast feature embedding diman zad tootaghaj.html
  • Caffe Convolutional architecture for fast feature embedding farhat.html
  • Caffe Convolutional architecture for fast feature embedding farshid farhat.html
  • Caffe Convolutional architecture for fast feature embedding farshid.html
  • Caffe Convolutional architecture for fast feature embedding farshidfarhat.html
  • Calculate ATT Shares in a Shared Data Plan .html
  • Cheetah a high performance custom data warehouse on top of MapReduce diman zad tootaghaj.html
  • Cheetah a high performance custom data warehouse on top of MapReduce diman.html
  • Cheetah a high performance custom data warehouse on top of MapReduce farhat.html
  • Cheetah a high performance custom data warehouse on top of MapReduce farshid farhat.html
  • Cheetah a high performance custom data warehouse on top of MapReduce farshid.html
  • Cheetah a high performance custom data warehouse on top of MapReduce farshidfarhat.html
  • Cloud computing diman zad tootaghaj.html
  • Cloud computing diman.html
  • Cloud computing farhat.html
  • Cloud computing farshid.html
  • Cloud computing state-of-the-art and research challenges diman zad tootaghaj.html
  • Cloud computing state-of-the-art and research challenges farhat.html
  • Cloud computing state-of-the-art and research challenges farshid farhat.html
  • Cloud computing state-of-the-art and research challenges farshid.html
  • Cloud computing state-of-the-art and research challenges farshidfarhat.html
  • Comprehensive Composition Assistance for Photo Taking .html
  • Comprehensive Composition Assistance for Photo Taking farshidfarhat.html
  • Computer Architecture farhat.html
  • Computer Graphics farhat.html
  • Computer Graphics farshid.html
  • Computer Graphics tootaghaj.html
  • Computer Vision Art Theory diman zad tootaghaj.html
  • Computer Vision Art Theory diman.html
  • Computer Vision Art Theory farshid farhat.html
  • Computer Vision Art Theory farshid.html
  • Computer Vision Art Theory farshidfarhat.html
  • Computer Vision Art Theory frash.html
  • Content-based Image Retrieval farshid.html
  • Content-based Image Retrieval farshidfarhat.html
  • Content-based Image Retrieval tootaghaj.html
  • Contention-Aware Game-theoretic Model for heterogeneous Resource Assignment .html
  • Contention-aware Auction-based Resource Management in Architecture .html
  • Controlling Cascading Failures diman zad tootaghaj.html
  • Controlling Cascading Failures diman.html
  • Controlling Cascading Failures farhat.html
  • Controlling Cascading Failures farshid farhat.html
  • Controlling Cascading Failures farshid.html
  • Controlling Cascading Failures farshidfarhat.html
  • Controlling Cascading Failures tootaghaj.html
  • Convolutional-recursive deep learning for 3d object classification diman zad tootaghaj.html
  • Convolutional-recursive deep learning for 3d object classification farshid farhat.html
  • Convolutional-recursive deep learning for 3d object classification farshidfarhat.html
  • Convolutional-recursive deep learning for 3d object classification tootaghaj.html
  • Cropping Aspect Ratio diman zad tootaghaj.html
  • Cropping Aspect Ratio farhat.html
  • Cropping Aspect Ratio farshid.html
  • Cropping Aspect Ratio farshidfarhat.html
  • Data Mining Practical machine learning tools and techniques diman zad tootaghaj.html
  • Data Mining Practical machine learning tools and techniques farshid farhat.html
  • Data Mining Practical machine learning tools and techniques farshidfarhat.html
  • Deep Learning for a Digital Age Technologys Untapped Potential To Enrich Higher Education farshid farhat.html
  • Deep Learning for a Digital Age Technologys Untapped Potential To Enrich Higher Education farshidfarhat.html
  • Deep learning and education for sustainability diman zad tootaghaj.html
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  • Deep learning and education for sustainability farshid farhat.html
  • Deep learning and education for sustainability farshid.html
  • Deep learning and education for sustainability farshidfarhat.html
  • Deep learning face representation by joint identification-verification diman zad tootaghaj.html
  • Deep learning face representation by joint identification-verification farshid farhat.html
  • Deep learning face representation by joint identification-verification farshidfarhat.html
  • Deep learning face representation by joint identification-verification tootaghaj.html
  • Deep learning face representation from predicting 10000 classes diman zad tootaghaj.html
  • Deep learning face representation from predicting 10000 classes diman.html
  • Deep learning face representation from predicting 10000 classes farshid farhat.html
  • Deep learning face representation from predicting 10000 classes farshidfarhat.html
  • Deep learning face representation from predicting 10000 classes tootaghaj.html
  • Deep learning in neural networks An overview diman zad tootaghaj.html
  • Deep learning in neural networks An overview farshid farhat.html
  • Deep learning in neural networks An overview farshidfarhat.html
  • Deep learning methods and applications diman zad tootaghaj.html
  • Deep learning methods and applications farhat.html
  • Deep learning methods and applications farshid farhat.html
  • Deep learning methods and applications farshid.html
  • Deep learning methods and applications farshidfarhat.html
  • Deep learning of representations for unsupervised and transfer learning diman zad tootaghaj.html
  • Deep learning of representations for unsupervised and transfer learning farshid farhat.html
  • Deep learning of representations for unsupervised and transfer learning farshid.html
  • Deep learning of representations for unsupervised and transfer learning farshidfarhat.html
  • Deep learning properties of good digital games How far can they go diman zad tootaghaj.html
  • Deep learning properties of good digital games How far can they go farhat.html
  • Deep learning properties of good digital games How far can they go farshid farhat.html
  • Deep learning properties of good digital games How far can they go farshid.html
  • Deep learning properties of good digital games How far can they go farshidfarhat.html
  • Deep learning using linear support vector machines diman zad tootaghaj.html
  • Deep learning using linear support vector machines farshid farhat.html
  • Deep learning using linear support vector machines farshidfarhat.html
  • Deep learning via Hessian-free optimization diman zad tootaghaj.html
  • Deep learning via Hessian-free optimization farhat.html
  • Deep learning via Hessian-free optimization farshid farhat.html
  • Deep learning via Hessian-free optimization farshidfarhat.html
  • Deep learning via semi-supervised embedding diman zad tootaghaj.html
  • Deep learning via semi-supervised embedding farshid farhat.html
  • Deep learning via semi-supervised embedding farshidfarhat.html
  • Deep learning with COTS HPC systems diman zad tootaghaj.html
  • Deep learning with COTS HPC systems dimanzt.html
  • Deep learning with COTS HPC systems farshid farhat.html
  • Deep learning with COTS HPC systems farshidfarhat.html
  • Deep learning with COTS HPC systems tootaghaj.html
  • Deep machine learning-a new frontier in artificial intelligence research diman zad tootaghaj.html
  • Deep machine learning-a new frontier in artificial intelligence research farshid farhat.html
  • Deep machine learning-a new frontier in artificial intelligence research farshid.html
  • Deep machine learning-a new frontier in artificial intelligence research farshidfarhat.html
  • Deep machine learning-a new frontier in artificial intelligence research tootaghaj.html
  • Deep-learned Models and Photography Idea Retrieval .html
  • Detecting Dominant Vanishing Points .html
  • Detecting Dominant Vanishing Points in Natural Scenes .html
  • Detecting Dominant Vanishing Points in Natural Scenes tootaghaj.html
  • Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval .html
  • Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval diman zad tootaghaj.html
  • Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval farshid farhat.html
  • Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval frash.html
  • Detecting Vanishing Points in Natural Scenes .html
  • Detecting Vanishing Points in Natural Scenes with Application in Photo Composition Analysis farshid farhat.html
  • Detecting Vanishing Points in Natural Scenes with Application in Photo Composition Analysis farshidfarhat.html
  • Detecting Vanishing Points in Natural Scenes with Application in Photo Composition Analysis frash.html
  • Developing deep learning approaches and personal teaching efficacy within a preservice teacher education context diman zad tootaghaj.html
  • Developing deep learning approaches and personal teaching efficacy within a preservice teacher education context farshid farhat.html
  • Developing deep learning approaches and personal teaching efficacy within a preservice teacher education context farshid.html
  • Developing deep learning approaches and personal teaching efficacy within a preservice teacher education context farshidfarhat.html
  • Disco Distributed co-clustering with map-reduce A case study towards petabyte-scale end-to-end mining demi.html
  • Disco Distributed co-clustering with map-reduce A case study towards petabyte-scale end-to-end mining diman zad tootaghaj.html
  • Disco Distributed co-clustering with map-reduce A case study towards petabyte-scale end-to-end mining diman.html
  • Disco Distributed co-clustering with map-reduce A case study towards petabyte-scale end-to-end mining dimanzt.html
  • Disco Distributed co-clustering with map-reduce A case study towards petabyte-scale end-to-end mining farhat.html
  • Disco Distributed co-clustering with map-reduce A case study towards petabyte-scale end-to-end mining farshid farhat.html
  • Disco Distributed co-clustering with map-reduce A case study towards petabyte-scale end-to-end mining tootaghaj.html
  • Discovering Triangles in Portraits and Landscapes .html
  • Discovering Triangles in Portraits for Supporting Photographic Creation .html
  • Discovering Triangles in Portraits for Supporting Photographic Creation diman.html
  • Discovering Triangles in photo diman zad tootaghaj.html
  • Discovering Triangles in photo diman.html
  • Discovering Triangles in photo farhat.html
  • Discovering Triangles in photo farshid.html
  • Discovering Triangles in photo frash.html
  • Discovering Triangles in photo tootaghaj.html
  • Domain adaptation for large-scale sentiment classification A deep learning approach diman zad tootaghaj.html
  • Domain adaptation for large-scale sentiment classification A deep learning approach farshid farhat.html
  • Domain adaptation for large-scale sentiment classification A deep learning approach farshidfarhat.html
  • Dropout as a Bayesian approximation Representing model uncertainty in deep learning diman zad tootaghaj.html
  • Dropout as a Bayesian approximation Representing model uncertainty in deep learning farshid farhat.html
  • Dropout as a Bayesian approximation Representing model uncertainty in deep learning farshidfarhat.html
  • Effects of constructing versus playing an educational game on student motivation and deep learning strategy use diman zad tootaghaj.html
  • Effects of constructing versus playing an educational game on student motivation and deep learning strategy use dimanzt.html
  • Effects of constructing versus playing an educational game on student motivation and deep learning strategy use farshid farhat.html
  • Effects of constructing versus playing an educational game on student motivation and deep learning strategy use farshidfarhat.html
  • Efficient big data processing in Hadoop MapReduce diman zad tootaghaj.html
  • Efficient big data processing in Hadoop MapReduce farshid farhat.html
  • Efficient big data processing in Hadoop MapReduce farshidfarhat.html
  • Efficient big data processing in MapReduce farshid farhat.html
  • Efficient big data processing in MapReduce farshidfarhat.html
  • Eigenvalues-based LSB steganalysis .html
  • Evaluating Architecture and Cloud Workload .html
  • Evaluating Architecture and Cloud Workload dimanzt.html
  • Evaluating Architecture and Cloud Workload farshid.html
  • Evaluating Architecture and Cloud Workload farshidfarhat.html
  • Evaluating Architecture and Cloud Workload frash.html
  • Evaluating cloud workload characteristics .html
  • Evaluating cloud workload characteristics demi.html
  • Evaluating cloud workload characteristics diman zad tootaghaj.html
  • Evaluating cloud workload characteristics dimanzt.html
  • Evaluating cloud workload characteristics farhat.html
  • Evaluating cloud workload characteristics farshid farhat.html
  • Evaluating cloud workload characteristics farshid.html
  • Evaluating cloud workload characteristics farshidfarhat.html
  • Evaluating cloud workload characteristics frash.html
  • Evaluating cloud workload characteristics tootaghaj.html
  • Evaluating mapreduce for multi-core and multiprocessor systems diman zad tootaghaj.html
  • Evaluating mapreduce for multi-core and multiprocessor systems diman.html
  • Evaluating mapreduce for multi-core and multiprocessor systems farhat.html
  • Evaluating mapreduce for multi-core and multiprocessor systems farshid farhat.html
  • Evaluating mapreduce for multi-core and multiprocessor systems farshidfarhat.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost .html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost dimanzt.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost farhat.html
  • Evaluating the Combined Impact of Datacenter Architecture and Cloud Workload Characteristics on Performance Network Traffic and Cost farshidfarhat.html
  • Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and PerformanceCost .html
  • Evaluation of Node Architecture and Cloud Workload .html
  • Evaluation of Node Architecture and Cloud Workload farshid.html
  • Experiences on processing spatial data with mapreduce diman zad tootaghaj.html
  • Experiences on processing spatial data with mapreduce farhat.html
  • Experiences on processing spatial data with mapreduce farshid farhat.html
  • Experiences on processing spatial data with mapreduce farshid.html
  • Experiences on processing spatial data with mapreduce farshidfarhat.html
  • Extended Authentication and Key Agreement Protocol .html
  • Extended Authentication and Key Agreement Protocol of UMTS .html
  • Face Detection photography diman zad tootaghaj.html
  • Face Detection photography farhat.html
  • Face Detection photography farshidfarhat.html
  • Face Detection photography tootaghaj.html
  • Fork-Join Queue Modeling and Optimal Scheduling .html
  • Fork-Join Queue Modeling and Optimal Scheduling in Parallel Programming Frameworks .html
  • Fork-Join Queue farhat.html
  • Fork-Join Queue farshid.html
  • Fork-Join Queue farshidfarhat.html
  • Formative assessment a key to deep learning diman zad tootaghaj.html
  • Formative assessment a key to deep learning farhat.html
  • Formative assessment a key to deep learning farshid farhat.html
  • Formative assessment a key to deep learning farshid.html
  • Formative assessment a key to deep learning farshidfarhat.html
  • Game-Theoretic Approach to Mitigate Packet Dropping .html
  • Game-theoretic approach to mitigate packet dropping frash.html
  • Game-theoretic approach to mitigate packet dropping in wireless Ad-hoc networks .html
  • Game-theoretic model to mitigate packet dropping .html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment demi.html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment diman zad tootaghaj.html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment diman.html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment farhat.html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment farshid farhat.html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment farshid.html
  • HPMR Prefetching and pre-shuffling in shared MapReduce computation environment farshidfarhat.html
  • Hadoop MapReduce performance tuning farhat.html
  • Hadoop MapReduce performance tuning farshid.html
  • Hadoop MapReduce performance tuning farshidfarhat.html
  • Hadoop admin performance tuning farhat.html
  • Hadoop admin performance tuning farshid farhat.html
  • Hadoop admin performance tuning farshidfarhat.html
  • Hadoop cluster performance diman zad tootaghaj.html
  • Hadoop cluster performance farshid farhat.html
  • Hadoop cluster performance farshid.html
  • Hadoop cluster performance farshidfarhat.html
  • Hadoop gis a high performance spatial data warehousing system over mapreduce diman zad tootaghaj.html
  • Hadoop gis a high performance spatial data warehousing system over mapreduce farshid farhat.html
  • Hadoop gis a high performance spatial data warehousing system over mapreduce farshid.html
  • Hadoop gis a high performance spatial data warehousing system over mapreduce farshidfarhat.html
  • Hadoop in practice diman zad tootaghaj.html
  • Hadoop in practice farhat.html
  • Hadoop in practice farshid farhat.html
  • Hadoop in practice farshid.html
  • Hadoop in practice farshidfarhat.html
  • Hadoop in practice tootaghaj.html
  • Hadoop optimization tips diman zad tootaghaj.html
  • Hadoop optimization tips farshid farhat.html
  • Hadoop optimization tips farshidfarhat.html
  • Hadoop optimization tips tootaghaj.html
  • Hadoop performance diman zad tootaghaj.html
  • Hadoop performance diman.html
  • Hadoop performance dimanzt.html
  • Hadoop performance farhat.html
  • Hadoop performance farshid.html
  • Hadoop performance frash.html
  • Hadoop performance testing diman zad tootaghaj.html
  • Hadoop performance testing farshid farhat.html
  • Hadoop performance testing tootaghaj.html
  • Hadoop performance tootaghaj.html
  • Hadoop performance tuning diman zad tootaghaj.html
  • Hadoop performance tuning farhat.html
  • Hadoop performance tuning tootaghaj.html
  • Hadoop performance tuning-a pragmatic iterative approach demi.html
  • Hadoop performance tuning-a pragmatic iterative approach diman zad tootaghaj.html
  • Hadoop performance tuning-a pragmatic iterative approach diman.html
  • Hadoop performance tuning-a pragmatic iterative approach farhat.html
  • Hadoop performance tuning-a pragmatic iterative approach farshid farhat.html
  • Hadoop performance tuning-a pragmatic iterative approach farshidfarhat.html
  • Hadoop performance tuning-a pragmatic iterative approach tootaghaj.html
  • Hadoop yarn performance tuning diman zad tootaghaj.html
  • Hadoop yarn performance tuning farshid farhat.html
  • Hadoop yarn performance tuning farshidfarhat.html
  • Hive a warehousing solution over a map-reduce framework diman zad tootaghaj.html
  • Hive a warehousing solution over a map-reduce framework farshid farhat.html
  • Hive a warehousing solution over a map-reduce framework farshidfarhat.html
  • Human Pose Estimation farhat.html
  • Human Pose Estimation farshid farhat.html
  • Human Pose Estimation farshidfarhat.html
  • Human Pose penn state .html
  • IAAP Scholarship Award .html
  • Identification umts dimanzt.html
  • Identification umts farhat.html
  • Identification umts farshidfarhat.html
  • Image Aesthetics Assistance .html
  • Image Aesthetics Scoring Engine .html
  • Image Processing diman zad tootaghaj.html
  • Image Processing diman.html
  • Image Processing farshidfarhat.html
  • Image Retrieval diman zad tootaghaj.html
  • Image Retrieval diman.html
  • Image Retrieval farhat.html
  • Image Retrieval farshid.html
  • Image Retrieval farshidfarhat.html
  • Image Retrieval tootaghaj.html
  • Image Steganalysis demi.html
  • Image Steganalysis diman zad tootaghaj.html
  • Image Steganalysis farhat.html
  • Image Steganalysis tootaghaj.html
  • Image steganalysis based on SVD and noise estimation .html
  • Impact of Node Architecture and Cloud Workload Characteristics .html
  • Impact of Node Architecture and Cloud Workload Characteristics diman zad tootaghaj.html
  • Impact of Node Architecture and Cloud Workload Characteristics farshid.html
  • Improving MapReduce Performance diman zad tootaghaj .html
  • Improving MapReduce Performance diman zad tootaghaj.html
  • Improving MapReduce Performance diman.html
  • Improving MapReduce Performance farhat.html
  • Improving MapReduce Performance farshid farhat.html
  • Improving MapReduce Performance farshid.html
  • Improving MapReduce Performance farshidfarhat.html
  • Improving MapReduce Performance tootaghaj.html
  • Improving MapReduce performance in heterogeneous environments with adaptive task tuning diman zad tootaghaj.html
  • Improving MapReduce performance in heterogeneous environments with adaptive task tuning dimanzt.html
  • Improving MapReduce performance in heterogeneous environments with adaptive task tuning farshid farhat.html
  • Improving MapReduce performance in heterogeneous environments with adaptive task tuning farshidfarhat.html
  • Improving MapReduce performance in heterogeneous environments with adaptive task tuning tootaghaj.html
  • Improving MapReduce performance using smart speculative execution strategy diman zad tootaghaj.html
  • Improving MapReduce performance using smart speculative execution strategy farhat.html
  • Improving MapReduce performance using smart speculative execution strategy farshid farhat.html
  • Improving MapReduce performance using smart speculative execution strategy farshid.html
  • Improving MapReduce performance using smart speculative execution strategy farshidfarhat.html
  • Integrated circuits dimanzt.html
  • Integrated circuits farshid farhat.html
  • Integrated circuits farshid.html
  • Integrated circuits farshidfarhat.html
  • Integrated circuits tootaghaj.html
  • Integrating Deep-learned Models and Photography Idea Retrieval .html
  • Interactive analytical processing in big data systems A cross-industry study of mapreduce workloads demi.html
  • Interactive analytical processing in big data systems A cross-industry study of mapreduce workloads diman zad tootaghaj.html
  • Interactive analytical processing in big data systems A cross-industry study of mapreduce workloads diman.html
  • Interactive analytical processing in big data systems A cross-industry study of mapreduce workloads farhat.html
  • Interactive analytical processing in big data systems A cross-industry study of mapreduce workloads farshid farhat.html
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  • Interference and locality-aware task scheduling for MapReduce applications in virtual clusters demi.html
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  • Iran Penn state dimanzt.html
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  • Joint optimization of overlapping phases in MapReduce diman zad tootaghaj.html
  • Joint optimization of overlapping phases in MapReduce diman.html
  • Joint optimization of overlapping phases in MapReduce farhat.html
  • Joint optimization of overlapping phases in MapReduce farshid farhat.html
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  • Key Agreement umts .html
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  • Learning a deep convolutional network for image super-resolution diman zad tootaghaj.html
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  • Learning deep structured semantic models for web search using clickthrough data diman zad tootaghaj.html
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  • Leveraging big visual data to predict severe weather .html
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  • Leveraging big visual data to predict severe weather conditions diman zad tootaghaj.html
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  • Locally Multipath Adaptive Routing Protocol .html
  • Locally Multipath Adaptive Routing Protocol Resilient to Selfishness and Wormholes .html
  • MODELING MONITORING AND SCHEDULING TECHNIQUES FOR NETWORK RECOVERY FROM MASSIVE FAILURES .html
  • MapReduce Modeling diman zad tootaghaj.html
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  • MapReduce optimization diman zad tootaghaj.html
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