Experimental Comparison of Classifiers for Breast Cancer Diagnosis Abstract?Experimental Comparison of Classifiers for Breast Cancer Diagnosis. A comparison among the different classifiers decision tree (J48), Multi-LayerPerception (MLP), Naive Bayes (NB), Sequential Minimal Optimization (SMO), and Instance Based for K-Nearest neighbor (IBK) on three different databases of breast cancer (Wisconsin Breast Cancer (WBC), Wisconsin Diagnosis Breast…
Exploiting Cooperative Relay for High Performance Communications in MIMO Ad Hoc Networks. A novel server-side defense scheme is proposed to resist the Web proxy-based distributed denial of service attack. The approach utilizes the temporal and spatial locality to extract the behavior features of the proxy-to-server traffic, which makes the scheme independent of the traffic intensity…
EXPLORING BLIND ONLINE SCHEDULING FOR MOBILE CLOUD MULTIMEDIA SERVICES.Mobile cloud is a new emerging technology which can be used to enable users to enjoy abundant multimedia applications in a pervasive computing environment. Therefore, the scheduling of massive multimedia flows with heterogeneous QoS guarantees becomes an important issue for the mobile cloud. Generally, the predominant popular…
Exploring Future Challenges for Haptic, Audio and Visual Interfaces for Mobile Maps and Location Based Service Abstract? Supporting blind and visually impaired people with digital maps that can enhance spatial awareness and learning about the surrounding environment is a challenge. This study introduces an audio-tactile you-are-here map system that presents map elements and users’ updated…
Exploring Sequential Probability Tree forMovement-Based Community Discovery Abstract? Exploring Sequential Probability Tree forMovement-Based Community Discovery. n this paper, we tackle the problem of discovering movement-based communities of users, where users in the same community have similar movement behaviors. Note that the identification of movement-based communities is beneficial to location-based services < Final Year Projects >…
Exploring User Sociocentric and Egocentric Behaviors in Online and Detected Social Networks Abstract? Social ties are increasingly constructed and maintained by online social networking tools. These online tools provide an alternative to the more traditional physical meeting approach of establishing and maintaining social relationships. This paper explores the similarities and the differences between the Bluetooth-based…
Exploring Visual and Motion Saliency for Automatic Video Object Extraction Abstract-A saliency-based video object extraction (VOE) framework. The proposed framework aims to automatically extract foreground objects of interest without any user interaction or the use of any training data (i.e., not limited to any particular type of object).< Final Year Projects > To separate foreground…
Exposing Digital Image Forgeries by Illumination Color Classification Abstract? photographs have been used to document space-time events and they have often served as evidence in courts. Although photographers are able to create composites of analog pictures, this process is very time consuming and requires expert knowledge. Today, however, powerful digital image editing software makes image…
Expressive, Efficient, and Revocable Data Access Control for Multi-Authority Cloud Storage Abstract?Expressive, Efficient, and Revocable Data Access Control for Multi-Authority Cloud Storage. Data access control is an effective way to ensure the data security in the cloud. Due to data outsourcing and untrusted cloud servers, the < Final Year Projects > data access control becomes…
Expressive, Efficient, and Revocable Data Access Control for Multi-Authority Cloud Storage Abstract?Expressive, Efficient, and Revocable Data Access Control for Multi-Authority Cloud Storage. Data access control is an effective way to ensure the data security in the cloud. Due to data outsourcing and untrusted cloud servers, the data access control becomes a challenging issue in cloud…
Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus Abstract? Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus. Early detection of patients with elevated risk of developing diabetes mellitus is critical to the improved prevention and overall clinical management of these patients. We aim to apply association rule mining to…
Extending the Association Rule Summarization to assess the risk of diabetes mellitus Abstract?Extending the Association Rule Summarization to assess the risk of diabetes mellitus. Early detection of patients with elevated risk of developing diabetes mellitus is critical to the improved prevention and overall clinical management of these patients. We aim to apply association rule mining…
