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Image Super Resolution using Generative Adversarial Deep Learning Network

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  Our 1Crore Projects is the Best Matlab Project Center in Chennai for a long time. They give the best innovative and creative projects at an affordable cost. ABSTRACT The face Recognition (FR) problem is one of the significant fields in computer vision. FR is used to identify the faces that appear over distributed cameras over the network.  The efficiency of face recognition systems decreases because of limited references especially (SSPP) and faces taken in the Operational Domain (OD) different from faces in the Enrollment Domain (ED) in illumination, pose, low-resolution, and blurriness.  This paper proposed a method that deals with all problems related to face recognition. Besides, the design domain dictionary is used to feed different deep learning models. Face illumination transfer techniques are utilized to overcome the illumination problem.  Dataset is used to train Super-Resolution Generative Adversarial Network (SRGAN) to overcome the low-resolution problem. Deblur Generativ

Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data

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1 Crore Projects is the best project center to get your IEEE 2021 Java Projects . We have 1000 plus project domains and six years of experience. We deliver your project on time at an affordable cost. The Objective of The Project: The main aim of the project is to develop a robust academic performance prediction model, to gain an in depth insight into student behavioral patterns and potentially help students to optimize their interactions with the university Abstract: To identify the real-world campus dataset of college students that aggregates multisource behavioral data covering not only online and offline learning but also behaviors inside and outside of the classroom. The features representing dynamic changes in temporal lifestyle patterns are extracted by the means of long short-term memory. The machine learning-based classification algorithms are developed to predict academic performance The visualized feedback enabling students to potentially optimize their interactions with the

Using 3D Segmentation Contours Techniques Lung from CT chest Image

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1 Crore Projects is the best project center to get your Matlab Project Centers in Chennai   . We have 1000 plus project domains and six years of experience. We deliver your project on time at an affordable cost. ABSTRACT Accurate lung segmentation in chest Computed Tomography (CT) scans is a challenging problem because of variations in lung volume shape, susceptibility to partial volume effects that affect thin antero-posterior junction lines, and lack of contrast between the lung and surrounding tissues. The proposed method has an image preprocessing step to extract and segment lung in active contours techniques. Here the segmented lung can measure volume and view the volume of segmented part. OBJECTIVE 3-D Segmentation using contour techniques of lung from CT chest images. EXISTING SYSTEM The Lung segmentation are processed without volume measuring and viewing the volume of segmented part. Existing process gives good result of segmentation. The analysis part gives main draw back in

A Unified Framework for Tracking Based Text Detection and Recognition from Web Videos

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1 Crore Project is the best place to get your Python Project Center in Chennai at an affordable cost. OBJECTIVE : Video text extraction plays an important role for multimedia understanding and retrieval.  which pay attention to text tracking using multiple frames, text detection, tracking and recognition. Our model helps to detect the text in web videos ABSTRACT Video text extraction plays an important role for multimedia understanding and retrieval. A few of recent methods, which pay attention to text tracking using multiple frames, text detection, tracking and recognition.  In this paper, we propose a generic Bayesian-based framework of Tracking based Text Detection And Recognition (T2DAR) from web videos for embedded captions, which is composed of three major components, i.e., text tracking, tracking based text detection, and tracking based text recognition.  In this unified framework, text tracking is first conducted by tracking-by-detection. our proposed approach largely improves

Best Python IDE & Code Editors for Beginners [Updated Guide]

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  1. Pydev Platform: GNU/Linux/macOS/Windows/Solaris Official website: https://www.eclipse.org/; http://pydev.org/ Advantage: Easy to learn and also includes several features (CPython, Jython, IronPython) The Pydev plugin to code in Python on Eclipse Code Completion and Code Analysis Disadvantage: User interfaces not very enriching. 2. Pycharm Platform: Linux/macOS/Windows Official website: https://www.jetbrains.com/pycharm/ Advantage: Active community support Live code verification and syntax highlighting Executes edits and debugs Python code without any external requirements Disadvantage: Slow loading time The default setting may require adjustment before existing projects can be used. 3. Sublime Text Platform: Linux/macOS/Windows Official website: http://www.sublimetext.com/ Advantage: Fast with very few bugs (big advantage) Opens large files Supports many languages Disadvantage: Difficult to modify, everything goes through JSON. License required Learning the shortcuts 4. Visual Stu