| Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests DR Nayak, R Dash, B Majhi Neurocomputing 177, 188-197, 2016 | 294 | 2016 |
| Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer S Beura, B Majhi, R Dash Neurocomputing 154, 1-14, 2015 | 260 | 2015 |
| An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics KS Sahoo, D Puthal, M Tiwary, JJPC Rodrigues, B Sahoo, R Dash Future Generation Computer Systems 89, 685-697, 2018 | 200 | 2018 |
| Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach D Muduli, R Dash, B Majhi Biomedical Signal Processing and Control 59, 101912, 2020 | 135 | 2020 |
| Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach D Muduli, R Dash, B Majhi Biomedical Signal Processing and Control 71, 102825, 2022 | 130 | 2022 |
| Motion blur parameters estimation for image restoration R Dash, B Majhi Optik 125 (5), 1634-1640, 2014 | 101 | 2014 |
| Underwater fish species recognition using deep learning techniques BV Deep, R Dash 2019 6th International Conference on Signal Processing and Integrated …, 2019 | 94 | 2019 |
| Toward secure software-defined networks against distributed denial of service attack KS Sahoo, SK Panda, S Sahoo, B Sahoo, R Dash The Journal of Supercomputing 75, 4829-4874, 2019 | 78 | 2019 |
| Automated diagnosis of multi-class brain abnormalities using MRI images: a deep convolutional neural network based method DR Nayak, R Dash, B Majhi Pattern Recognition Letters 138, 385-391, 2020 | 72 | 2020 |
| Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection DR Nayak, R Dash, B Majhi Neurocomputing 282, 232-247, 2018 | 68 | 2018 |
| Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection D Muduli, R Dash, B Majhi Biomedical Signal Processing and Control 70, 102919, 2021 | 59 | 2021 |
| Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach DR Nayak, R Dash, B Majhi, V Prasad Expert Systems with Applications 88, 152-164, 2017 | 59 | 2017 |
| Hyperspectral image classification: A k-means clustering based approach S Ranjan, DR Nayak, KS Kumar, R Dash, B Majhi 2017 4th International Conference on Advanced Computing and Communication …, 2017 | 59 | 2017 |
| Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain DR Nayak, R Dash, B Majhi, S Wang Computers & Electrical Engineering 68, 366-380, 2018 | 58 | 2018 |
| A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer DR Nayak, R Dash, B Majhi, RB Pachori, Y Zhang Biomedical Signal Processing and Control 58, 101860, 2020 | 57 | 2020 |
| Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images DR Nayak, D Das, R Dash, S Majhi, B Majhi Multimedia Tools and Applications 79, 15381-15396, 2020 | 53 | 2020 |
| An empirical evaluation of extreme learning machine: application to handwritten character recognition D Das, DR Nayak, R Dash, B Majhi Multimedia Tools and Applications 78, 19495-19523, 2019 | 46 | 2019 |
| Stationary wavelet transform and AdaBoost with SVM based pathological brain detection in MRI scanning D Ranjan Nayak, R Dash, B Majhi CNS & Neurological Disorders-Drug Targets (Formerly Current Drug Targets-CNS …, 2017 | 46 | 2017 |
| On the placement of controllers for designing a wide area software defined networks KS Sahoo, S Sahoo, A Sarkar, B Sahoo, R Dash TENCON 2017-2017 IEEE Region 10 Conference, 3123-3128, 2017 | 45 | 2017 |
| Pathological brain detection using curvelet features and least squares SVM DR Nayak, R Dash, B Majhi Multimedia Tools and Applications 77, 3833-3856, 2018 | 44 | 2018 |
Prof. Banshidhar MajhiProfessor(HAG), Comp Sc.&Engg. NIT Rourkela, Former Director, IIITDM KP, Former VC, VSSUT Burla確認したメール アドレス: nitrkl.ac.in