ARINDAM SADHU

@gkcem.ac.in

ASSISTANT PROFESSOR, ECE DEPARTMENT
GREATER KOLKATA COLLEGE OF ENGINEERING AND MANAGEMENT

ARINDAM SADHU


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https://researchid.co/arindam.hit11

EDUCATION

Persuing Ph.D.

RESEARCH INTERESTS

Quantum computing, Quantum Dot Cellular Automata, Low power CMOS circuit design, Embedded System
32

Scopus Publications

254

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Independently Controllable Triple Pass Band Filter with Defective Ground Surface for Wireless Applications
    Debjit Kar, Jayee Majumdar, Pradipta Maiti, Arindam Sadhu, Anirban Neogi
    2026 International Conference on Signal Analysis for Smart Systems Signass 2026, 2026
    One triple band pass filter with central pass band frequencies at 2.5, 5.3, 3.7 and 9 GHz is proposed in this article for the Wireless applications like Wireless Local Area Network, WiMax and Satellite Communication. Two types of resonator were used in designing of the filter, one as microstrip resonator and another one as Defective ground Surface (DGS) slot resonator. The DGS resonator is responsible for generating first to pass band, where as the third pass band is created by the microstrip resonator. The simulations of the proposed filters are carried out with HFSS13 software. Arlon AD 250 with dielectric Constant 2.5 is used as substrate. The miniaturized size of the filters is (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$27.95 ~\text{mm} \times 15 ~\text{mm}$</tex>). The in- band Insertion Losses (IL) filter are 0.2, 0.3 and 0.8 dB respectively.
  • A Review: Current TVWS Scenario in India
    Pradipta Maiti, Anirban Neogi, Arindam Sadhu, Sudipta Banerjee, Suman Halder, Santanu Maity
    2026 International Conference on Signal Analysis for Smart Systems Signass 2026, 2026
    This research work explores a detail review on the current realistic outdoor and indoor ultra-high frequency and very-high frequency television white space (TVWS) scenario India and global perspectives. With rapid growth in internet usage a huge demand for spectrum increases to tally high-speed mobile-data demand. Digital switchover is unable to reach that large spectrum demand. Thus, global research incorporating the studies which reveals that TV service providers hold a large amount of vacant spectrum. This vacant spectrum can be used via cognitive radio networks (CRNs) for unlicensed dynamic spectrum access (DSA) to support highspeed mobile service providers, who are facing deficit in bandwidth with respect to their traffic loads, mainly in hightime. Approximately, 7 0% - 8 0% of TV channels found vacant in outdoor globally, a similar trend explored in India, also. Study highlights that major data traffic generate indoors, providing indoor TVWS exploration and assessment essential. The received signal strength losses due to the structural obstacles can generate TVWS on active TV channel, which could help to meet peak-hour data demands, also. Exploration of indoor TVWS assessments on an active TV channel, based on various interpolation methods and machine learning techniques reveal 7%–1 0% of TVWS from the inside of a building at IIT(ISM) Dhanbad. More explorations in large office buildings could lead to generation of indoor TVWS databases that could support CRNs to maintain high-speed mobile data services. This could creating new opportunity for indoor CRNs for unlicensed DSA. In future, TVWSs could be the backbone for high-speed 6G communication.
  • Quantum Simulation of a New Multivariate Prediction Model SEIRDVIms to Assess the Impacts of Social Restriction and Vaccination on Spreading Disease Transmission and Mortality
    Subhasree Bhattacharjee, Kunal Das, Arindam Sadhu, Debrupa Pal, Poulomi Karmakar, Aniruddha Adhikary, Priyasha Sikdar, Peu Saha
    2026 IEEE 3rd International Conference on Emerging Trends in Engineering and Medical Sciences Icetems 2025, 2026
    This study deals with the challenge posed by the emergence of multiple versions of an infectious disease, each exhibiting different transmission and mortality characteristics. A new compartmental model, SEIRDVIms, is developed to examine the influence of vaccination levels and social restriction measures while considering two virus strains. The objective is to maximize hospital bed availability and minimize mortality, and this optimization problem is reformulated as an energy minimization task using a Binary Quadratic Model and solved on a D-Wave Quantum Annealer. The outputs demonstrate that quantum-assisted social restriction strategies lead to fewer infections and deaths compared to situations without restrictions. Specifically, over a 60 -days period, the model predicts 265 deaths under quantum-guided restrictions versus 383 without restrictions. The findings also show that stricter social restrictions consistently reduce infection levels, while lower partial immunity increases infection rates under fixed restriction conditions. Overall, this study highlights the efficiency of quantum-assisted societal restriction rules in decreasing disease spread and mortality.
  • Universal logic based crossed loop TRNG design in quantum dot cellular automata technology
    Teesha Singh, Debasmita Manna, Ananya Banerjee, Arindam Sadhu
    Aip Conference Proceedings, 2025
  • Diabetes Prediction Using a Hybrid PCA-Based Feature Selection and Computational Machine Learning Algorithm
    Sumanta Dey, Pijush Dutta, Gour Gopal Jana, Arindam Sadhu
    Design and Forecasting Models for Disease Management, 2025
    Diabetes Mellitus is normally known as a metabolic issue in which the body can't utilize insulin or store glucose for energy as well as unable to produce insulin. Diabetes patients can suffer various sicknesses that incorporate kidney disappointment, stroke, visual impairment, cardiovascular failures, and lower appendage removal. The earlier classification model could not predict with a higher degree of accuracy. In the proposed work, we have used six different machine learning classifier models that would help to identify the potential chances of getting affected by Diabetes Related Diseases. The overall process is performed in four steps: data pre-processing, features selection, dimensionality reduction method using Principal Component Analysis (PCA), and finally machine learning classify model. From the result analysis, it has been observed that SVM offered a maximum accuracy of about 91% for the selection of specific features. Besides that, present research outcomes show better outcomes than the other state-of-the-art methods.
  • A systematic review on autonomous and cognitive medical robots for acute care medicine
    Medical Robotics and Intelligent Healthcare Technologies AI Applications to Improve Healthcare in Developing Countries, 2025
  • Utilization of Two Cross Two Switch for Bitonic Sorting Circuit
    Subhasree Bhattacharjee, Soumyadip Sarkar, Kunal Das, Arindam Sadhu, Bikramjit Sarkar
    Micro and Nanosystems, 2025
    Background: The synthesis of reversible logic has gained prominence as a crucial research area, particularly in the context of post-CMOS computing devices, notably quantum computing. Objective: To implement the bitonic sorting circuit, 2x2 switch, is used. The overarching objective of implementing a reversible sorting circuit is to mitigate power consumption while promising secure communication. The successful implementation of the bitonic sorting circuit utilizing the proposed 2x2 switch is validated through simulations conducted in IBM Qiskit. Methods: This study begins by employing the control swap gate to implement a 2x2 switch, aimed at enabling concurrent computing operations within multiprocessor systems to enhance throughput. Subsequently, following the successful implementation of the 2x2 switch, the study proceeds to design a bitonic sorting circuit. Results: Bitonic sort using a 2x2 switch on the IBM Quantum Experience (IBMQ) platform via the QISKit SDK in Python 3.6. Specifically, Qiskit v0.29.0 is utilized, with OpenQASM. OpenQASM serves as the quantum assembly and instruction language. Conclusion: This work presents a methodology for constructing a 2x2 switch, utilizing a reversible control swap gate as its core component. Additionally, it demonstrates the intricate development and implementation of a bitonic sorting circuit, capitalizing on this innovative switch architecture.
  • Design and Forecasting Models for Disease Management
    Design and Forecasting Models for Disease Management, 2025
    The book provides an essential overview of AI techniques in disease management and how these computational methods can lead to further innovations in healthcare. Design and Forecasting Models for Disease Management is a resourceful volume of 13 chapters that elaborates on computational methods and how AI techniques can aid in smart disease management. It contains several statistical and AI techniques that can be used to acquire data on many different diseases. The main objective of this book is to demonstrate how AI techniques work for early disease detection and forecasting useful information for medical experts. As such, this volume intends to serve as a resource to elicit and elaborate on possible intelligent mechanisms for helping detect early signs of diseases. Additionally, the book examines numerous machine learning and data analysis techniques in the biomedical field that are used for detecting and forecasting disease management at the cellular level. It discusses various applications of image segmentation, data analysis techniques, and hybrid machine learning techniques for illnesses, and encompasses modeling, prediction, and diagnosis of disease data. Audience Researchers, engineers and graduate students in the fields of computational biology, information technology, bioinformatics, and epidemiology.
  • Preface
    Design and Forecasting Models for Disease Management, 2025
  • Electrolyzation of Cow Urine: An Approach Towards Green Hydrogen Production and Circular Economy
    Preeti S Goudar, Vemele Hiese Vadeo, Krishnendu Jana, Dipankar Das, Arindam Sadhu, Biswajit Das
    2025 2nd International Conference on Emerging Trends in Electronic Devices and Computational Techniques Edct 2025, 2025
    Green hydrogen production through electrolysis of waste resources offers a sustainable pathway for clean energy generation. In this work, cow urine (CU), a readily available bio-waste consisting of 92–96% water along with urea, minerals, salts, calcium, creatinine, and other components, was investigated as an alternative electrolyte for hydrogen production. While electricity generation from urine has been previously explored, nevertheless its potential for hydrogen production remains underutilized. We reported the electrolysis of cow urine for green hydrogen generation via simple redox processes facilitated by the dissociation of inherent salts into ions. To evaluate the ionic contribution, systematic studies were conducted by varying CU concentration with deionized water, pH, and additive salt content. The findings confirm that enhanced ionic concentration significantly improves the redox reaction efficiency, directly promoting hydrogen evolution. Postelectrolysis, the residual CU retains its utility as a liquid fertilizer, while the generated hydrogen serves as a renewable energy source and the by-product oxygen can be recycled. This integrated approach not only demonstrates a low-cost electrolyser alternative but also aligns with the principles of circular economy and sustainable energy cycles.
  • Statistical Analysis on Optimal Lockdown Schedule by Developing a Multivariate Prediction model SEIRDVIm
    Statistics and Applications, 2024
  • Hybrid-quantum approach for the optimal lockdown to stop the SARS-CoV-2 community spread subject to maximising nation economy globally
    Kunal Das, Sahil Zaman, Alex Khan, Arindam Sadhu, Subhasree Bhattacharjee, Faisal Shah Khan, Bikramjit Sarkar
    Iet Quantum Communication, 2024
  • AI-Based Smart Prediction of Liquid Flow System Using Machine Learning Approach
    , Pijush Dutta, Gour Gopal Jana, Shobhandeb Paul, Souvik Pal
    International Journal of Engineering and Manufacturing, 2024
  • Exploit Reversible Gates to Implement Fast Quantum Sorting Algorithm
    Subhasree Bhattacharjee, Kunal Das, Arindam Sadhu, Soumyadip Sarkar, Bikramjit Sarkar
    Lecture Notes in Networks and Systems, 2024
  • Design and Implementation of Multi-Operative Reversible Gate for Even/Odd Parity Generators In Quantum Based Technologies
    Puspak Pain, Arindam Sadhu, Kunal Das, Maitreyi Ray Kanjilal
    Journal of Computers Mechanical and Management, 2023
  • Comparative analysis of the impact of epidemiological modeling on COVID-19
    Subhasree Bhattacharjee, Kunal Das, Sahil Zaman, Arnab Naha, Arindam Sadhu, Suman Kumar Roy, Faisal Shah Khan, Bikramjit Sarkar
    Computer Intelligence Against Pandemics Tools and Methods to Face New Strains of Covid 19, 2023
  • Hybrid Genetic Algorithm Random Forest algorithm (HGARF) for improving the missing value Imputation in Hepatitis Medical Dataset
    Pijush Dutta, Shobhandeb Paul, Gour Gopal Jana, Arindam Sadhu
    2023 International Symposium on Devices Circuits and Systems Isdcs 2023 Conference Proceedings, 2023
  • Experimental study on the quantum search algorithm over structured datasets using IBMQ experience
    Kunal Das, Arindam Sadhu
    Journal of King Saud University Computer and Information Sciences, 2022
  • Power analysis attack resistable hardware cryptographical circuit design using reversible logic gate in quantum cellular automata
    Puspak Pain, Kunal Das, Arindam Sadhu, Maitreyi Ray Kanjilal, Debashis De
    Microsystem Technologies, 2022
  • Low power design methodology in quantum-dot cellular automata
    Arindam Sadhu, Kunal Das, Debashis De, Maitreyi Ray Kanjilal
    Computers and Electrical Engineering, 2022
  • Quantum Random Number Generators for Cryptography: Design and Evaluation
    Puspak Pain, Arindam Sadhu, Kunal Das, Maitreyi Ray Kanjilal
    Lecture Notes in Electrical Engineering, 2022
  • A QCA-Based Improvised TRNG Design for the Implementation of Secured Nano Communication Protocol in ATM Services
    Arindam Sadhu, Kunal Das, Debashis De, Maitreyi Ray Kanjilal, Pritam Bhattacharjee
    Lecture Notes in Electrical Engineering, 2022
  • Energy efficient configurable layout of logic block in QCA frame work for an FPGA
    Arindam Sadhu, Rimpa Dey Sarkar, Kunal Das, Debashis De, Maitreyi Ray Kanjilal
    Micro and Nanosystems, 2021
  • Tile-based N-variable Symmetric Logic Function Syntheses in Quantum-dot Cellular Automata
    Arindam Sadhu, Kunal Das, Debashis De, Maitreyi Ray Kanjilal
    2020 IEEE International Conference for Convergence in Engineering Icce 2020 Proceedings, 2020
  • SSTRNG: self starved feedback SRAM based true random number generator using quantum cellular automata
    Arindam Sadhu, Kunal Das, Debashis De, Maitreyi Ray Kanjilal
    Microsystem Technologies, 2020
  • Area-Delay-Energy aware SRAM memory cell and M × N parallel read/write memory array design for quantum dot cellular automata
    Arindam Sadhu, Kunal Das, Debashis De, Maitreyi Ray Kanjilal
    Microprocessors and Microsystems, 2020
  • Physical proof and simulation of ternary logic gate in ternary quantum dot cellular automata
    Puspak Pain, Arindam Sadhu, Kunal Das, Maitreyi Ray Kanjilal
    Lecture Notes in Electrical Engineering, 2020
  • MVTRNG: Majority voter-based crossed loop quantum true random number generator in QCA nanotechnology
    Arindam Sadhu, Kunal Das, Debashis De, Maitreyi Ray Kanjilal
    Lecture Notes in Electrical Engineering, 2020
  • Cost Optimization Technique for Quantum Circuits
    Anirban Basak, Arindam Sadhu, Kunal Das, Kapil K. Sharma
    International Journal of Theoretical Physics, 2019
  • Novel True Random Number Generator Based Hardware Cryptographic Architecture Using Quantum-Dot Cellular Automata
    Puspak Pain, Kunal Das, Arindam Sadhu, Maitreyi Ray Kanjilal, Debashis De
    International Journal of Theoretical Physics, 2019
  • Design and simulation of priority based dual port memory in quantum dot cellular automata
    Kunal Das, Arindam Sadhu, Debashis De, Jadav Chandra Das
    Microprocessors and Microsystems, 2019
  • A register-transfer-level description of synthesizable binary multiplier and binary divider
    Pritam Bhattacharjee, Arindam Sadhu, Kunal Das
    International Conference on Microelectronics Computing and Communication Microcom 2016, 2016

RECENT SCHOLAR PUBLICATIONS

  • Optimization of Process Parameters Using ANOVA: A Review
    A Dey, S Dey, GG Jana, R Datta, A Sadhu
    Experimental Design of Bio-Inspired Algorithms for Optimization Problems in … , 2026
    2026
  • Comparative Study of Hybrid GAPSO for Parametric Optimization of the Liquid Flow Model
    S Dey, A Polamarasetti, A Sadhu, GG Jana
    Experimental Design of Bio-Inspired Algorithms for Optimization Problems in … , 2026
    2026
  • Photovoltaic Cell Performance Assessment Using the Hybrid CSPSO Algorithm
    GG Jana, R Datta, A Sadhu
    Experimental Design of Bio-Inspired Algorithms for Optimization Problems in … , 2026
    2026
  • Quantum Simulation of a New Multivariate Prediction Model SEIRDVIms to Assess the Impacts of Social Restriction and Vaccination on Spreading Disease Transmission and Mortality
    S Bhattacharjee, K Das, A Sadhu, D Pal, P Karmakar, A Adhikary, ...
    2026 3rd International Conference on Emerging Trends in Engineering and … , 2026
    2026
  • A Review: Current TVWS Scenario in India
    P Maiti, A Neogi, A Sadhu, S Banerjee, S Halder, S Maity
    2026 International Conference on Signal Analysis for Smart Systems (SIGNASS … , 2026
    2026
  • Independently Controllable Triple Pass Band Filter with Defective Ground Surface for Wireless Applications
    D Kar, J Majumdar, P Maiti, A Sadhu, A Neogi
    2026 International Conference on Signal Analysis for Smart Systems (SIGNASS … , 2026
    2026
  • A systematic review on autonomous and cognitive medical robots for acute care medicine
    P Dutta, GG Jana, A Sadhu, M Yağanoğlu
    Medical Robotics and Intelligent Healthcare Technologies, 1-22 , 2026
    2026
  • Universal logic based crossed loop TRNG design in quantum dot cellular automata technology
    T Singh, D Manna, A Banerjee, A Sadhu
    AIP Conference Proceedings 3394 (1), 050001 , 2025
    2025
  • of Hepatitis B Patients with Potential Attributes Data Using Machine Learning Approach
    N Biswas, S Kundu, S Chatterjee, S Paul, GG Jana, A Sadhu, P Dutta
    Proceedings of Third International Conference on Intelligent System: ICIS … , 2025
    2025
  • Design and Forecasting Models for Disease Management
    P Dutta, S Mandal, K Cengiz, A Sadhu, GG Jana
    John Wiley & Sons , 2025
    2025
  • Diabetes Prediction Using a Hybrid PCA‐Based Feature Selection and Computational Machine Learning Algorithm
    S Dey, P Dutta, GG Jana, A Sadhu
    Design and Forecasting Models for Disease Management, 253-268 , 2025
    2025
  • Utilization of Two Cross Two Switch for Bitonic Sorting Circuit
    S Bhattacharjee, S Sarkar, K Das, A Sadhu, B Sarkar
    Micro and Nanosystems 17 (1), 45-57 , 2025
    2025
  • Automated Risk Prediction Model of Hepatitis B Patients with Potential Attributes Data Using Machine Learning Approach
    N Biswas, S Kundu, S Chatterjee, S Paul, GG Jana, A Sadhu, P Dutta
    International Conference on Information Systems Security, 125-134 , 2024
    2024
  • Solar Radiation Forecasting: A Case Study with Comparison Model for Big Data Applications Using Ensemble Machine Learning Techniques
    S Paul, S Chatterjee, GG Jana, A Sadhu, P Dutta
    International Conference on Information Systems Security, 219-229 , 2024
    2024
  • Evaluating the Performance of Machine Learning Integrated SMOTE Analysis for Prediction of Risk Factors of Seismic Hazards
    P Dutta, S Kundu, S Paul, GG Jana, A Sadhu
    International Conference on Information Systems Security, 343-353 , 2024
    2024
    Citations: 2
  • PCA-GA-HKSVM: An Efficient Hybrid Kernel SVM Integrated GA-PCA Model for Early Diagnosis of Disease
    P Dutta, S Paul, A Sadhu, GG Jana
    Doctoral Symposium on Human Centered Computing, 71-81 , 2024
    2024
  • Implementation Of Two Cross Two Switch To Implement Bitonic Sorting Circuit
    S Bhattacharjee, S Sarkar, K Das, A Sadhu, B Sarkar
    2024
  • Hybrid‐quantum approach for the optimal lockdown to stop the SARS‐CoV‐2 community spread subject to maximising nation economy globally
    K Das, S Zaman, A Khan, A Sadhu, S Bhattacharjee, FS Khan, B Sarkar
    IET Quantum Communication 5 (1), 19-37 , 2024
    2024
    Citations: 3
  • AI-based smart prediction of liquid flow system using machine learning approach
    P Dutta, GG Jana, S Paul, S Pal, S Dey, A Sadhu
    Int. J. Eng. Manuf.(IJEM) 14 (1), 53-65 , 2024
    2024
    Citations: 4
  • Exploit Reversible Gates to Implement Fast Quantum Sorting Algorithm
    S Bhattacharjee, K Das, A Sadhu, S Sarkar, B Sarkar
    International Conference on Computer & Communication Technologies, 125-134 , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Area-Delay-Energy aware SRAM memory cell and M× N parallel read/write memory array design for quantum dot cellular automata
    A Sadhu, K Das, D De, MR Kanjilal
    Microprocessors and Microsystems 72, 102944 , 2020
    2020
    Citations: 34
  • Experimental study on the quantum search algorithm over structured datasets using IBMQ experience
    K Das, A Sadhu
    Journal of King Saud University-Computer and Information Sciences 34 (8 … , 2022
    2022
    Citations: 27
  • Design and Implementation of Multi-operative Reversible Gate for Even/Odd Parity Generators in Quantum based Technologies
    P Pain, A Sadhu, K Das, MR Kanjilal
    J. Comput. Mech. Manag 2 (4), 20-28 , 2023
    2023
    Citations: 19
  • Hybrid genetic algorithm random forest algorithm (HGARF) for improving the missing value imputation in hepatitis medical dataset
    P Dutta, S Paul, GG Jana, A Sadhu
    2023 international symposium on devices, circuits and systems (ISDCS) 1, 01-05 , 2023
    2023
    Citations: 19
  • SSTRNG: self starved feedback SRAM based true random number generator using quantum cellular automata
    A Sadhu, K Das, D De, MR Kanjilal
    Microsystem Technologies 26 (7), 2203-2215 , 2020
    2020
    Citations: 19
  • Design and simulation of priority based dual port memory in quantum dot cellular automata
    K Das, A Sadhu, D De, JC Das
    Microprocessors and Microsystems 69, 118-137 , 2019
    2019
    Citations: 14
  • VLSI Transistor and Interconnect Scaling Overview
    P Bhattacharjee, A Sadhu
    Journal of Electronic Design Technology 5 (1), 1-15 , 2014
    2014
    Citations: 14
  • Power analysis attack resistable hardware cryptographical circuit design using reversible logic gate in quantum cellular automata
    P Pain, K Das, A Sadhu, MR Kanjilal, D De
    Microsystem technologies 28 (3), 779-791 , 2022
    2022
    Citations: 12
  • Low power design methodology in quantum-dot cellular automata
    A Sadhu, K Das, D De, MR Kanjilal
    Computers & Electrical Engineering 97, 107638 , 2022
    2022
    Citations: 11
  • Novel true random number generator based hardware cryptographic architecture using quantum-dot cellular automata
    P Pain, K Das, A Sadhu, MR Kanjilal, D De
    International Journal of Theoretical Physics 58 (9), 3118-3137 , 2019
    2019
    Citations: 11
  • Challenges and trends on post-quantum cryptography
    K Das, A Sadhu
    Internet of Things: Security and Privacy in Cyberspace, 271-293 , 2022
    2022
    Citations: 8
  • MVTRNG: majority voter-based crossed loop quantum true random number generator in QCA nanotechnology
    A Sadhu, K Das, D De, MR Kanjilal
    Computational Advancement in Communication Circuits and Systems: Proceedings … , 2019
    2019
    Citations: 7
  • Imaging of congenital cholesteatoma with atretic ear-a rare case report.
    A Ghosh, S Saha, A Sadhu, P Saha
    Indian Journal of Radiology and Imaging 16 (4), NA-NA , 2006
    2006
    Citations: 7
  • Performance of automated machine learning based neural network estimators for the classification of PCOS
    P Dutta, S Paul, A Sadhu, GG Jana, P Bhattacharjee
    Doctoral Symposium on Human Centered Computing, 65-73 , 2023
    2023
    Citations: 6
  • Quantum random number generators for cryptography: Design and evaluation
    P Pain, A Sadhu, K Das, MR Kanjilal
    Computational Advancement in Communication, Circuits and Systems … , 2021
    2021
    Citations: 6
  • Physical proof and simulation of ternary logic gate in ternary quantum dot cellular automata
    P Pain, A Sadhu, K Das, MR Kanjilal
    Computational Advancement in Communication Circuits and Systems: Proceedings … , 2019
    2019
    Citations: 6
  • Cost optimization technique for quantum circuits
    A Basak, A Sadhu, K Das, KK Sharma
    International Journal of Theoretical Physics 58 (9), 3158-3179 , 2019
    2019
    Citations: 5
  • AI-based smart prediction of liquid flow system using machine learning approach
    P Dutta, GG Jana, S Paul, S Pal, S Dey, A Sadhu
    Int. J. Eng. Manuf.(IJEM) 14 (1), 53-65 , 2024
    2024
    Citations: 4
  • Energy Efficient Configurable Layout of Logic Block in QCA Frame Work for an FPGA
    AS ,Rimpa Dey Sarkar, Kunal Das, Debashis De, Maitreyi Ray Kanjilal
    Micro and Nanosystems 13 (2), 186 - 199 , 2021
    2021
    Citations: 4
  • Quantum annealing for solving a nurse-physician scheduling problem in covid-19 clinics
    K Das, S Zaman, A Sadhu, A Banerjee, FS Khan
    viXra , 2020
    2020
    Citations: 4