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Alok Kumar Singh Kushwaha

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2020 – today

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2024
[j19]
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Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha:
IRNetv: A deep learning framework for automated brain tumor diagnosis. Biomed. Signal Process. Control. 87(Part B): 105459 (2024)
[j18]
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Raksha Pandey, Alok Kumar Singh Kushwaha, Vinay Kumar:
Detecting video forgery: A machine learning approach for consistency analysis of video frames. J. Intell. Fuzzy Syst. 46(3): 6807-6820 (2024)
2023
[j17]
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Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha:
The power of deep learning for intelligent tumor classification systems: A review. Comput. Electr. Eng. 106: 108586 (2023)
[j16]
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Roshan Singh, Alok Kumar Singh Kushwaha, Chandni, Rajeev Srivastava:
Recent trends in human activity recognition - A comparative study. Cogn. Syst. Res. 77: 30-44 (2023)
2022
[j15]
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Ramakant Chandrakar, Rohit Raja, Rohit Miri, Upasana Sinha, Alok Kumar Singh Kushwaha, Hiral Raja:
Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm. Expert Syst. Appl. 191: 116306 (2022)
[j14]
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Rahul Shrivastava, Vivek Tiwari, Swati Jain, Basant Tiwari, Alok Kumar Singh Kushwaha, Vibhav Prakash Singh:
A role-entity based human activity recognition using inter-body features and temporal sequence memory. IET Image Process. 16(11): 2911-2921 (2022)
[j13]
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Sonika Jindal, Monika Sachdeva, Alok Kumar Singh Kushwaha:
Human Activity Recognition using Ensemble Convolutional Neural Networks and Long Short-Term Memory. Int. J. Perform. Eng. 18(9): 660 (2022)
[j12]
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  - journals/mta/VarshneyBK22
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Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha:
Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data. Multim. Tools Appl. 81(16): 22307-22322 (2022)
[j11]
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Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha, Manish Khare:
Human activity recognition by combining external features with accelerometer sensor data using deep learning network model. Multim. Tools Appl. 81(24): 34633-34652 (2022)
[c9]
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  - conf/cvmi/ChandniSK22
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Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha:
Role of Deep Learning in Tumor Malignancy Identification and Classification. CVMI 2022: 455-464
2021
[j10]
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  - journals/cmbbeiv/SinghKKS21
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Roshan Singh, Rajat Khurana, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(1): 28-38 (2021)
2020
[j9]
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Roshan Singh, Rajat Khurana, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Combining CNN streams of dynamic image and depth data for action recognition. Multim. Syst. 26(3): 313-322 (2020)

2010 – 2019

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2019
[j8]
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Roshan Singh, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Multi-view recognition system for human activity based on multiple features for video surveillance system. Multim. Tools Appl. 78(12): 17165-17196 (2019)
[j7]
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Roshan Singh, Jagwinder Kaur Dhillon, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Depth based enlarged temporal dimension of 3D deep convolutional network for activity recognition. Multim. Tools Appl. 78(21): 30599-30614 (2019)
2018
[c8]
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  - conf/icccnt/SinghGK18
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Harpreet Singh, Dinesh Gupta, Alok Kumar Singh Kushwaha:
Multiclass Object Recognition and Classification Using Boosting Technique. ICCCNT 2018: 1-6
[c7]
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  - conf/rice/KaurKK18
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Kamaljit Kaur, Rajat Khurana, Alok Kumar Singh Kushwaha:
Deep survey on visual object tracking in surveillance environment. RICE 2018: 1-6
[c6]
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Rajat Khurana, Alok Kumar Singh Kushwaha:
A Deep Survey on Human Activity Recognition in Video Surveillance. RICE 2018: 1-5
2017
[j6]
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Alok Kumar Singh Kushwaha, Subodh Srivastava, Rajeev Srivastava:
Multi-view human activity recognition based on silhouette and uniform rotation invariant local binary patterns. Multim. Syst. 23(4): 451-467 (2017)
2016
[j5]
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Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Maritime Object Segmentation Using Dynamic Background Modeling and Shadow Suppression. Comput. J. 59(9): 1303-1329 (2016)
[j4]
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Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Automatic moving object segmentation methods under varying illumination conditions for video data: comparative study, and an improved method. Multim. Tools Appl. 75(23): 16209-16264 (2016)
2015
[j3]
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Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Multiview human activity recognition system based on spatiotemporal template for video surveillance system. J. Electronic Imaging 24(5): 051004 (2015)
[j2]
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Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Framework for dynamic background modeling and shadow suppression for moving object segmentation in complex wavelet domain. J. Electronic Imaging 24(5): 051005 (2015)
[j1]
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Alok Kumar Singh Kushwaha, Rajeev Srivastava:
A Framework of Moving Object Segmentation in Maritime Surveillance Inside a Dynamic Background. Trans. Comput. Sci. 25: 35-54 (2015)
[c5]
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  - conf/ncvpripg/AgarwalKS15
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Ishan Agarwal, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Weighted Fast Dynamic Time Warping based multi-view human activity recognition using a RGB-D sensor. NCVPRIPG 2015: 1-4
2013
[c4]
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  - conf/ic3/KhareKSK13
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Manish Khare, Alok Kumar Singh Kushwaha, Rajneesh Kumar Srivastava, Ashish Khare:
An approach towards wavelet transform based multiclass object classification. IC3 2013: 365-368
2012
[c3]
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  - conf/cube/KushwahaKK12
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Alok Kumar Singh Kushwaha, Maheshkumar H. Kolekar, Ashish Khare:
Vision based method for object classification and multiple human activity recognition in video survelliance system. CUBE 2012: 47-52
[c2]
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Alok Kumar Singh Kushwaha, Om Prakash, Ashish Khare, Maheshkumar H. Kolekar:
Rule based human activity recognition for surveillance system. IHCI 2012: 1-6
2011
[c1]
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  - conf/acai/SharmaKNK11
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Chandra Mani Sharma, Alok Kumar Singh Kushwaha, Swati Nigam, Ashish Khare:
Automatic human activity recognition in video using background modeling and spatio-temporal template matching based technique. ACAI 2011: 97-101

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