Bikash Sadhukhan

发表

Effective utilization of calcareous soil towards the removal of methylene blue from aqueous solution

N. Mondal, B. Das, K. Das, 2016, Clean Technologies and Environmental Policy.

Evaluation of carbaryl sorption in alluvial soil

N. Mondal, B. Das, Bikash Sadhukhan, 2013 .

Scope of machine learning applications for addressing the challenges in next-generation wireless networks

S. Sarkar, Bikash Sadhukhan, C. Koner, 2022, CAAI Trans. Intell. Technol..

Optimisation using central composite design (CCD) and the desirability function for sorption of methylene blue from aqueous solution onto Lemna major

N. Mondal, Bikash Sadhukhan, Soumya Chattoraj, 2016 .

Biosorptive removal of cationic dye from aqueous system: a response surface methodological approach

N. Mondal, Bikash Sadhukhan, Soumya Chattoraj, 2014, Clean Technologies and Environmental Policy.

Predictability by Box-Behnken model for carbaryl adsorption by soils of Indian origin

N. Mondal, Bikash Sadhukhan, Soumya Chattoraj, 2013, Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes.

Optimization of Adsorption Parameters for Removal of Carbaryl Insecticide Using Neem Bark Dust by Response Surface Methodology

N. Mondal, T. Roy, Bikash Sadhukhan, 2016, Water Conservation Science and Engineering.

Carbaryl removal from aqueous solution by Lemna major biomass using response surface methodology and artificial neural network

Biswajit Das, Bikash Sadhukhan, N. Mondal, 2014 .

Biosorption of carbaryl from aqueous solution onto Pistia stratiotes biomass

N. Mondal, B. Das, Bikash Sadhukhan, 2014, Applied Water Science.

Speech Recognition and Neural Networks based Talking Health Care Bot (THCB): Medibot

Rajdeep Chatterjee, Bikash Sadhukhan, Nabanita Das, 2023, 2023 7th International Conference on Computing Methodologies and Communication (ICCMC).

A Study of Global Temperature Anomalies and their Changing Trends due to Global Warming

S. Mukherjee, Bikash Sadhukhan, R. Samanta, 2022, 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN).

Investigating the relationship between earthquake occurrences and climate change using RNN-based deep learning approach

S. Mukherjee, Bikash Sadhukhan, Shayak Chakraborty, 2021, Arabian Journal of Geosciences.

Impact of climate change on seismicity:a statistical approach

S. Mukherjee, Bikash Sadhukhan, H. Chaudhuri, 2021, Arabian Journal of Geosciences.

Multifractal, nonlinear, and chaotic nature of earthquake and global temperature

S. Mukherjee, Bikash Sadhukhan, R. Samanta, 2021, Arabian Journal of Geosciences.

Climatic and seismic data-driven deep learning model for earthquake magnitude prediction

S. Mukherjee, Bikash Sadhukhan, R. Samanta, 2023, Frontiers in Earth Science.

Predicting the magnitude of an impending earthquake using deep learning techniques

S. Mukherjee, Bikash Sadhukhan, Shayak Chakraborty, 2022, Earth Science Informatics.

Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak

Bikash Sadhukhan, Nabanita Das, S. Chakrabarti, 2022, Social Network Analysis and Mining.

Investigating the relationship between earthquake occurrences and global temperature fluctuation patterns

S. Mukherjee, Bikash Sadhukhan, R. Samanta, 2021, Arabian Journal of Geosciences.

The Impact of Rising Global Temperatures on Seismicity: A Case Study in Alaska

S. Mukherjee, Bikash Sadhukhan, Raj Kumar Samanta, 2022, 2022 IEEE 19th India Council International Conference (INDICON).

Stock market prediction using deep learning algorithms

Somenath Mukherjee, Bikash Sadhukhan, Nairita Sarkar, 2021, CAAI Trans. Intell. Technol..

Investigating the Fractality and Stationarity Behavior of Global Temperature Anomaly Time Series

S. Mukherjee, Bikash Sadhukhan, R. Samanta, 2023, International conference on Artificial intelligence and applications.

Fractality and Stationarity Analysis on Stock Market

R. T. Goswami, S. Mukherjee, Bikash Sadhukhan, 2018, 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN).

Investigation of Fractality and Stationarity Behaviour on Earthquake

S. Mukherjee, Bikash Sadhukhan, Sugam Agarwal, 2018, Communications in Computer and Information Science.

Hurst exponent estimation using neural network

A. K. Das, S. Mukherjee, Bikash Sadhukhan, 2023, Int. J. Comput. Sci. Eng..