Showing all 9 results

Accessible Melanoma Detection using Smart phones and Mobile Image Analysis

2,000.00
  Abstract:            MOBILE devices, including smart phones, are being used by billions of people all around the world. This

An Energy- Efficient User Centric Approach High Capacity SG Heterogeneous Cellular Networks

2,000.00
Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  While the concept of ultra-dense small cell networks (SCNs) has brought a number of significant opportunities for the

Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images

2,000.00
  Abstract   Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  SHIP detection in remote-sensing images is important in both civilian and military applications, such as traffic

AREA DETERMINATION OF DIABETIC FOOT ULCER IMAGES USING A CASCADED TWO-STAGE SVM BASED CLASSIFICATION

2,000.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  The mainstay of the project is to determine the wound boundary on a foot ulcer image. Ā Introduction: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

ATHYNOS: Helping Children with Dyspraxia Through an Augmented Reality Serious Game

2,000.00
Abstract Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  Emerging technologies and ICT have changed the lifestyle of society, all scientific areas are taking advantage of technology

Brain tumor segmentation and its area calculation in brain MR images using K-mean clustering and Fuzzy C-mean

2,000.00
Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Brain tumor identification is really challenging task in early stages of life. But now it became advanced with

Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer

2,000.00
ABSTRACT: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  Underwater images usually suffer from degeneration, such as low contrast, color casts, and noise, due to wavelength-dependent light

Emotion Analysis for Personality Inference from EEG Signals

2,000.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To design a MATLAB Model for Individualā€™s Emotion detection through computed EEG using DEAP dataset and making the

Interactive Medical Image Segmentation Using Deep Learning with Image-Specific Fine Tuning

2,000.00
Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  DEEP learning with convolution neural networks (CNNs) has achieved state-of-the-art performance for automated medical image segmentation. However, automatic