S. Srivastava

发表

Study on the characterization of endosulfan-degrading bacterial strains isolated from contaminated rhizospheric soil

Nandita Singh, Vandana Singh, Suchi Srivastava, 2022, Journal of environmental science and health. Part C, Toxicology and carcinogenesis.

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge

Lisheng Wang, Dwarikanath Mahapatra, Mahdieh Soleymani Baghshah, 2021, IEEE Transactions on Medical Imaging.

Prediction of Apnea of Prematurity in neonates using Support Vector Machines and Random Forests

Shikhar Srivastava, Rudresh D. Shirwaikar, Nikhit Mago, 2016, 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I).

Assessing the bioremediation potential of arsenic tolerant bacterial strains in rice rhizosphere interface.

Nandita Singh, Namrata Singh, S. Rathaur, 2016, Journal of environmental sciences.

Alleviation of Residual Vibrations in Hard-Magnetic Soft Actuators Using a Command-Shaping Scheme

A. Sharma, C. Pandey, Ankur Gupta, 2022, Polymers.

Isolation and characterization of Staphylococcus sp. strain NBRIEAG-8 from arsenic contaminated site of West Bengal

P. Verma, Nandita Singh, M. Mishra, 2012, Applied Microbiology and Biotechnology.

Simulation studies of processes associated with stimulated electromagnetic emission (SEE) in the ionosphere

W. Scales, K. Cheng, S. Srivastava, 1997 .

Saraca indica leaf powder for decontamination of Pb: removal, recovery, adsorbent characterization and equilibrium modeling

Parul Sharma, S. Srivastava, P. Goyal, 2008 .

Iron ore pollution in Mandovi and Zuari estuarine sediments and its fate after mining ban

V. P. Rao, P. Kessarkar, V. Sudheesh, 2015, Environmental Monitoring and Assessment.

Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings

Dwarikanath Mahapatra, Mohammad Yaqub, Zongyuan Ge, 2021, DART/FAIR@MICCAI.

Functionalized nanobiomaterials: high-performance sorbents for chromium remediation from water streams

P. Jain, S. Srivastava, Shilpa Varshney, 2016, International Journal of Environmental Science and Technology.

Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction

Shikhar Srivastava, U. Dinesh Acharya, Rudresh Deepak Shirwaikar, 2019, Artif. Intell. Medicine.

Mitigation of DDoS attack instigated by compromised switches on SDN controller by analyzing the flow rule request traffic

Anita Kanavalli, Shikhar Srivastava, R Sanjeetha, 2018 .

Visualizing the Indicators of Diabetic Retinopathy Learnt by Convolutional Neural Networks

Shikhar Srivastava, Srikanth Prabhu, Sidharth Ramesh, 2017, 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).