Total 190+ projects designed using following Tools:
61 Speech recognition using CNN
128 Speech denoising using fully-connected and convolutional NN
62 Recognizing neurological disease on MRI image using CNN
136 Recognizing object in image using classification CNN
63 Evaluating rotation of object in image using regression CNN
64 Recognizing neurological disease on MRI image using CNN trained in cloud
89 Image denosing using pretrained CNN
130 Approximating image processing filter using CNN with dilation
96 Estimating high-resolution image from single low-resolution image using VDSR (very-deep super-resolution) NN (neural network)
97 Reducing JPEG compression artifacts in image using CNN
74 Evaluating area of vegetation on aerial image using ISS (image semantic segmentation)
134 Image semantic segmentation using CNN with dilation
10 Fingerprint identification using pretrained & retrained CNN
48 Birds detection from airplane using CNN trained from scratch
75 Stop road sign detection using R-CNN
76 Detecting cars on highway using Faster R-CNN
65 Detecting arrhythmia from ECG signal using LSTM
129 Detecting P/QRS/T waves from ECG signal using LSTM
66 Speech recognition using LSTM
127 Speaker gender detection using LSTM
67 Forecasting incidence of infection using LSTM
68 Classifying accelerometer readings using LSTM
69 Predicting engine failure using LSTM
121 Text classification using word embedding and LSTM
125 Text classification using pretrained word embedding and LSTM
124 Word-by-word text generation using word embedding and LSTM
123 Character-by-character text generation using character embedding and LSTM
126 Character-by-character text generation using character vocabulary and LSTM
135 Recognizing neurological disease on MRI image using TL with retrained GoogLeNet
131 Recognizing neurological disease on MRI image using TL with GoogLeNet retrained in deep network designer
70 Recognizing neurological disease on MRI image using TL with retrained AlexNet
132 Recognizing neurological disease on MRI image using TL with AlexNet retrained in deep network designer
71 Recognizing neurological disease on MRI image using TL with feature extraction from AlexNet
133 Transfer learning by converting classification NN (project136) into regression NN (project63)
10 Fingerprint identification using pretrained & retrained CNN
49 Airplane detection from satellite using R-CNN on pretrained CNN
46 Deer detection from car using feature extraction from pretrained CNN
57 Birds detection from airplane using feature extraction from pretrained CNN
72 Recognizing neurological disease on grayscale MRI image using residual NN
73 Recognizing neurological disease on colored MRI image using residual NN
115 Deep classification NN using autoencoders
11 Clustering vital sign features using competitive NN
114NN Predicting whether US resident has health insurance or not based on survey of American households
128 Speech denoising using fully-connected and convolutional NN
08 Extracting classification features from fetal heart rate waveform and classifying fetal clinical condition using shallow classification NN
07 Investigating feed-forward fully-connected NN for regression
09 Fetal heart signal recognition using shallow time-series NN
118 Text classification using bag of words and SVM
122 Sentiment detection using pretrained word embedding and SVM
121 Text classification using word embedding and LSTM
125 Text classification using pretrained word embedding and LSTM
124 Word-by-word text generation using word embedding and LSTM
123 Character-by-character text generation using character embedding and LSTM
126 Character-by-character text generation using character vocabulary and LSTM
119 Text analysis using LSA(latent semantic analysis)/LDA(latent Dirichlet allocation) topic model
120 Text analysis using bag of n-grams
114ML Predicting whether US resident has health insurance or not based on survey of American households
118 Text classification using bag of words and SVM
122 Sentiment detection using pretrained word embedding and SVM
71 Recognizing neurological disease on MRI image using TL with feature extraction from AlexNet
03 Extracting classification features from fetal heart rate waveform and classifying fetal clinical condition
46 Deer detection from car using feature extraction from pretrained CNN
47 Bicycle detection from car using bag of visual words & SVM
57 Birds detection from airplane using feature extraction from pretrained CNN
58 Birds detection from airplane using bag of visual words & SVM
50 Recognizing text on speed limit road sign using image retrieval
02 Investigating Gaussian Process Regression model
91 Image segmentation using super-pixels
01 Clustering vital sign features using GMM (Gaussian mixture models)
44 Detecting necrotic muscle fiber on biopsy image using k-means
04 Reducing dimensionality of vital sign features using PCA
05 Selecting influential features for fingerprint identification using NCA
87 Recognizing hand-written digits preprocessed by RICA & SF
06 Adaptive noise cancellation of fetal heart signal using RICA
74 Evaluating area of vegetation on aerial image using ISS (image semantic segmentation)
134 Image semantic segmentation using CNN with dilation
47 Bicycle detection from car using bag of visual words & SVM (support vector machine)
58 Birds detection from airplane using bag of visual words & SVM
62 Recognizing neurological disease on MRI image using CNN
136 Recognizing object in image using classification CNN
63 Evaluating rotation of object in image using regression CNN
72 Recognizing neurological disease on grayscale MRI image using residual NN
87 Recognizing hand-written digits preprocessed by RICA & SF
73 Recognizing neurological disease on colored MRI image using residual NN
64 Recognizing neurological disease on MRI image using CNN trained in cloud
135 Recognizing neurological disease on MRI image using TL with retrained GoogLeNet
131 Recognizing neurological disease on MRI image using TL with GoogLeNet retrained in deep network designer
70 Recognizing neurological disease on MRI image using TL with retrained AlexNet
132 Recognizing neurological disease on MRI image using TL with AlexNet retrained in deep network designer
71 Recognizing neurological disease on MRI image using TL with feature extraction from AlexNet
133 Transfer learning by converting classification NN (project136) into regression NN (project63)
10 Fingerprint identification using pretrained & retrained CNN
48 Birds detection from airplane using CNN trained from scratch
46 Deer detection from car using feature extraction from pretrained CNN
57 Birds detection from airplane using feature extraction from pretrained CNN
50 Recognizing text on speed limit road sign using image retrieval
75 Stop road sign detection using R-CNN
76 Detecting cars on highway using Faster R-CNN
49 Airplane detection from satellite using R-CNN on pretrained CNN
32 Fingerprint identification using feature matching, spatial transformation & image quality evaluation
54 Finding defects in details on conveyor belt using calibrated camera
60 Estimating coordinates & orientation of details to be picked up by robot arm from conveyor belt
52 Helmet camera video stabilization using image registration
77 Stop road sign detection from car using ACF
78 Stop road sign detection from car using Viola-Jones
59 Speed limit road sign detection from car using ACF
51 Speed limit road sign detection from car using Viola-Jones
79 Face tracking using CAMShift
80 Face tracking using KLT
81 Tracking people by surveillance camera using Kalman filter
82 Tracking pedestrians from moving car using Kalman filter
53 Heart rate detection using smartphone video camera
116 Motion estimation using optical flow
83 Measuring size of 2-D object using calibrated camera
54 Finding defects in details on conveyor belt using calibrated camera
60 Estimating coordinates & orientation of details to be picked up by robot arm from conveyor belt
84 Measuring distance from stereo camera to person using disparity map
85 Measuring distance from stereo camera to face using triangulation
55 Reconstructing 3-D scene from two 2-D images using SfM
56 Reconstructing 3-D scene from three 2-D images using SfM
86 Building 3-D point cloud from Lidar readings
30 Converting horizontal MRI slices of brain into side-view & front-view slices
54 Finding defects in details on conveyor belt using calibrated camera
60 Estimating coordinates & orientation of details to be picked up by robot arm from conveyor belt
32 Fingerprint identification using feature matching, spatial transformation & image quality evaluation
31 Registering MRI images of brain damaged by lesions
33 Contrast adjustment of grayscale image using adaptive histogram equalization
34 Contrast adjustment of color image using decorrelation stretch of separated colors
88 Image denoising using Gaussian filter
89 Image denosing using pretrained CNN
130 Approximating image processing filter using CNN with dilation
35 Removing distortion from blurry image
45 Denoising image using median filter in block-processing mode
37 Denoising image using median filter
36 Denoising image using adaptive Wiener filter
90 Image texture analysis using local/global variability of pixels
91 Image segmentation using super-pixels
54 Finding defects in details on conveyor belt using calibrated camera
60 Estimating coordinates & orientation of details to be picked up by robot arm from conveyor belt
41 Object detection using adaptive threshold
44 Detecting necrotic muscle fiber on biopsy image using k-means
42 Measuring growth of lesions on MRI images of brain damaged by neurological disease
43 Evaluating area of algae in sea using color thresholding of satellite image
40 Evaluation if there is correlation between country GDP and intensity of country lights on satellite image
92 Image quality evaluation using SSIM (structural similarity index)
93 Image quality evaluation using NIQE (natural image quality evaluator)
32 Fingerprint identification using feature matching, spatial transformation & image quality evaluation
38 Reconstructing CT image using specified angle between successive X-ray projections
94 Adjusting color balance using chromatic adaptation
95 Reducing fog in image
96 Estimating high-resolution image from single low-resolution image using VDSR (very-deep super-resolution) NN (neural network)
97 Reducing JPEG compression artifacts in image using CNN
39 Compressing image using 2-D DCT (discrete cosine transform)
41 Object detection using adaptive threshold
54 Finding defects in details on conveyor belt using calibrated camera
60 Estimating coordinates & orientation of details to be picked up by robot arm from conveyor belt
98 Computing cross-correlation, auto-correlation, cross-covariance, correlation coefficient matrix, convolution, covariance
99 Signal deconvolution using FFT (fast Fourier transform)
100 Designing low-pass/high-pass/band-pass/band-stop FIR filter
101 Designing low-pass/high-pass/band-pass/band-stop IIR filter
102 Compensating for delay introduced by FIR filter processing ECG signal
103 Compensating for delay introduced by IIR filter processing ECG signal
104 Denoising & resampling audio signal
129 Detecting P/QRS/T waves from ECG signal using LSTM
105 Differentiating & integrating accelerometer readings using FIR filters
106 Data smoothing & eliminating outliers using moving rectangular window, moving Gaussian window, linear/quadratic regression window, Savitzky-Golay filter
107 System identification, inverse system identification, adaptive noise cancellation, predicting future values of periodic signal using adaptive LMS/RLS filter
21 Adaptive cancellation of uterine-activity artifact in fetal heart signal
22 Estimating distance & velocity of sonar target using Kalman filter
108 Spectral estimation when leakage is more important than resolution
109 Spectral estimation when resolution is more important than leakage
61 Speech recognition using CNN
128 Speech denoising using fully-connected and convolutional NN
65 Detecting arrhythmia from ECG signal using LSTM
129 Detecting P/QRS/T waves from ECG signal using LSTM
66 Speech recognition using LSTM
117 Measuring signal power using Parceval
110 Measuring harmonic distortion of weakly non-linear system
111 Detecting peaks, delay, envelope and instantaneous frequency of signal, finding abrupt changes in signal
112 Finding pattern in signal using similarity matching & time stretching
12 Computing velocities of sonar targets using parfor-loop & SPMD (single-program multiple-data)
13 Detecting maternal heart rate & uterine activity using parallel function evaluation
15 Computing mean length of sonar target using mapreduce
03 Extracting classification features from fetal heart rate waveform and classifying fetal clinical condition
16 Compensating for delay introduced by IIR filter while processing uterine activity signal
17 Fetal heart rate, maternal heart rate & uterine activity detection in background of noise, motion and uterine activity artifacts
127 Speaker gender detection using LSTM
128 Speech denoising using fully-connected and convolutional NN
61 Speech recognition using CNN
66 Speech recognition using LSTM
104 Denoising & resampling audio signal
03 Extracting classification features from fetal heart rate waveform and classifying fetal clinical condition
06 Adaptive noise cancellation of fetal heart signal using RICA
09 Fetal heart signal recognition using shallow time-series NN
17 Fetal heart rate, maternal heart rate & uterine activity detection in background of noise, motion and uterine activity artifacts
64 Recognizing neurological disease on MRI image using CNN trained in cloud
12 Computing velocities of sonar targets using parfor-loop & SPMD
13 Detecting maternal heart rate & uterine activity using parallel function evaluation
113 Finding maximum element in big file using datastores, tall arrays, mapreduce
14 Evaluating dependency between pollution and health of tree using tall array
15 Computing mean length of sonar target using mapreduce
23 Compressing fetal signal using time-series ARMAX (autoregressive-moving-average) model
21 Adaptive cancellation of uterine-activity artifact in fetal heart signal
24 Detecting system fault using data measured on system inputs & outputs
25 Fitting distribution to sample data using non-parametric technique
26 Benchmarking two fetal monitors using ANOVA (analysis of variance)
27 Estimating accuracy of neonatal ventilator designed using Six Sigma
28 Investigating time of clinical process using survival analysis
29 Complete IoT system - fetal monitor based on smart multicore sensor
23 Compressing fetal signal using time-series ARMAX model
24 Detecting system fault using data measured on system inputs & outputs
39 Compressing image using 2-D DCT
97 Reducing JPEG compression artifacts in image using CNN
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