“An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images” Abstract?”An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images” The classification of retinal vessels into artery/vein (A/V) is an important phase for automating the detection of vascular changes, and for the calculation of characteristic signs associated with several systemic diseases such as diabetes, hypertension,…
An Autonomic Approach to Risk-Aware Data Center Overbooking Abstract?An Autonomic Approach to Risk-Aware Data Center Overbooking. Elasticity is a key characteristic of cloud computing that increases the flexibility for cloud consumers, allowing them to adapt the amount of physical resources associated to their < Final Year Projects > services over time in an on-demand basis….
An Autonomic Approach toRisk-Aware Data Center Overbooking Abstract?An Autonomic Approach toRisk-Aware Data Center Overbooking. Elasticity is a key characteristic of cloud computing that increases the flexibility for cloud consumers, allowing them to adapt the amount of physical resources associated to their services over time in an on-demand basis. However, elasticity creates problems for cloud providers…
An Effective Gaussian Fitting Approach for Image Contrast Enhancement Abstract-Contrast enhancement plays an important role in image processing applications. This paper proposes a low-complexity automatic method for contrast enhancement. The method exploits the high-frequency distribution of an image to estimate an intensity-weighting matrix, which is then used to control the Gaussian fitting curve and shape…
An Efficient and Clinical-Oriented 3D Liver Segmentation Method Abstract-By segmenting, modeling, and visualizing computed tomography sequence data, surgeons can better understand the spatial relationship of the intrahepatic vein, portal vein, artery, and tumor. Accurate preoperative understanding of liver anatomy and volume of the corresponding liver segment are necessary for anatomical liver resection. This paper gives…
An Efficient and Fine-grained Big Data Access Control Scheme with Privacy-preserving Policy Abstract? How to control the access of the huge amount of big data becomes a very challenging issue, especially when big data are stored in the cloud. Ciphertext-Policy Attribute-based Encryption (CP-ABE) is a promising encryption technique that enables end-users to encrypt their data…
An Efficient and Fine-Grained Big Data Access Control Scheme With Privacy-Preserving Policy Abstract-How to control the access of the huge amount of big data becomes a very challenging issue, especially when big data are stored in the cloud. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising encryption technique that enables end-users to encrypt their data under…
An Efficient and Robust Addressing Protocol for Node Autoconfiguration in Ad Hoc Networks Abstract?Address assignment is a key challenge in ad hoc networks due to the lack of infrastructure.< Final Year Project > Autonomous addressing protocols require a distributed and self-managed mechanism to avoid address collisions in a dynamic network with fading channels, frequent…
An Efficient and Secure Dynamic Auditing Protocol for Data Storage in Cloud Computing Abstract? In cloud computing, data owners host their data on cloud servers and users (data consumers) can access the data from cloud servers. Due to the data outsourcing, however, this new paradigm of data hosting service also introduces new security challenges,…
An efficient andsecurecipherschemeforimages confidentiality preservation Abstract? A Novel image encryption scheme based on two rounds of substitution-diffusion is proposed. Two main objectives have guided the design of this scheme: (a) robustness against the most know type of attacks (stastical, chosedn/know plain-text, chiphertext (i.e., execution time reduction) in order in to meet recent mobiles? applications? requirements….
An Efficient Automated System for Detection of Diabetic Retinopathy from Fundus Images Using Support Vector Machine and Bayesian Classifiers Abstract?An Efficient Automated System for Detection of Diabetic Retinopathy from Fundus Images Using Support Vector Machine and Bayesian Classifiers. The preliminary signs of diabetic retinopathy include micro aneurysms, haemorrhages and exudates. Early < Final Year Projects...
An Efficient Bayesian PAPR Reduction Method for OFDM-Based Massive MIMO Systems Abstract? The problem of peak-to-average power ratio (PAPR) reduction in orthogonal frequency-division multiplexing (OFDM) based massive multiple-input multiple-output (MIMO) downlink systems. Specifically, given a set of symbol vectors to be transmitted to K users, the problem is to find an OFDM-modulated signal that has…
Free 
Crowdsourcing based Description of Urban Emergency Events using Social Media Big Data 
DP-MCDBSCAN: Differential Privacy Preserving Multi-core DBSCAN Clustering for Network User Data 
A Key-Policy Attribute-Based Temporary Keyword Search Scheme for Secure Cloud Storage