PANKAJ KUMAR GOSWAMI

Scopus Publications

Adaptive TS-ANFIS neuro-fuzzy controller based single phase shunt active power filter to mitigate sensitive power quality issues in IoT devices
Uttam Kumar Gupta, Dinesh Sethi, Pankaj Kumar Goswami
E Prime Advances in Electrical Engineering Electronics and Energy, 2024
Reinforcement Learning to Manage Energy Efficient Supply Chains
A Kannagi, Savita, Pankaj Kumar Goswami
2024 International Conference on Optimization Computing and Wireless Communication Icocwc 2024, 2024
Reinforcement getting to know (RL) has emerged as an ability method to deal with electricity green supply chains and improve the sustainability of operations. This paper critiques the software of RL in supply chain management, exploring the primary programs, methodologies, and approaches of incorporating RL in power structures. We overview recent advances in RL that would be implemented to supply chain power modeling, in addition to the benefits and demanding situations that can stand up from using RL for superior management of delivery chains. Further, we provide a conclusion on the blessings of RL as a tool for managing power green supply chains and advise capacity programs for research that explores how RL can be used to enhance the sustainability of operations.
Retracted: Reinforcement Learning to Manage Energy Efficient Supply Chains (2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC) DOI: 10.1109/ICOCWC60930.2024.10470863)
A Kannagi, Savita, Pankaj Kumar Goswami
2024 International Conference on Optimization Computing and Wireless Communication Icocwc 2024, 2024
Assessing Optimal Hyper parameters of Deep Neural Networks on Cancers Datasets
Pankaj Kumar Goswami, A Kannagi, Anubhav Sony
2024 International Conference on Optimization Computing and Wireless Communication Icocwc 2024, 2024
This paper studies the most valuable hyperparameters of deep neural networks applied to most cancer datasets. We appoint a mixture of looking algorithms, including grid seeks, random search, and Bayesian optimization, to discover the best mixture of hyperparameters for deep neural networks. The overall performance of the one-of-a-kind algorithms is evaluated towards present most cancers datasets and as compared towards each other. Outcomes show that Bayesian optimization becomes the maximum green and correct technique for finding the most fulfilling hyperparameter for our goal deep neural networks. This research can provide precious insight to practitioners who layout and build deep-mastering models for most cancer datasets. Furthermore, it also helps to optimize the performance of the trained neural networks while applied to this specific trouble location. The painting aims to assess the most beneficial hyperparameters of deep neural networks (DNNs) on most cancer datasets. DNNs are increasingly employed within the class and analysis of cancer datasets due to their ability to capture complicated styles and hit upon relationships between relevant capabilities. However, the effectiveness of those models is somewhat affected by the layout and selection of hyperparameters, which govern their education and represent a critical factor in the model optimization manner. In this painting, we optimize the choice of hyperparameters for a DNN using a grid search approach for every dataset, one after the other. Primarily, we optimize several parameters, along with the number of layers, neurons in keeping with layer, activation functions, studying fee, range of epochs, batch size, and dropout charge. The performance of the optimized DNN version is then evaluated by studying its accuracy, AUROC, and precision while evaluating on a take-a-look-at the set. Consequences show that extensive improvements in overall performance may be performed while the most reliable hyperparameters are chosen.
The Smart Predictive Network Maintenance Model using AI/ML Time Series Analysis in Cloud Networks
Prabha S., Ramakant Upadhyay, Pankaj Kumar Goswami
2024 International Conference on Optimization Computing and Wireless Communication Icocwc 2024, 2024
The ever-growing amount of facts generated from cloud networks requires a new predictive version for community renovation. System learning (ML) and synthetic Intelligence (AI) have been carried out to improve the accuracy of predictive fashions for community maintenance. This paper presents a new method of using time series evaluation with ML and AI to design a clever, predictive community protection model for cloud networks. The proposed version is based on finding patterns and correlations from ancient statistics using AI and ML techniques for time collection analysis. This version uses various features, including packet loss, latency, throughput, unique network popularity metrics, CPU utilization, memory, disk space, and community traffic. The model can detect anomalous behaviors inside the community in early degrees and may provide predictions of destiny network activities. The proposed version can additionally conform to converting network situations through superior self-mastering ML algorithms. Universal, the proposed model could permit higher choice-making and streamline the network maintenance tasks employing offering well-timed records and insights about the community's typical health.
Retracted: Assessing Optimal Hyper parameters of Deep Neural Networks on Cancers Datasets (2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC) DOI: 10.1109/ICOCWC60930.2024.10470543)
Pankaj Kumar Goswami, A Kannagi, Anubhav Sony
2024 International Conference on Optimization Computing and Wireless Communication Icocwc 2024, 2024
MACHINE LEARNING ASSISTED S11 PREDICTION FOR A SLOTTED SQUARE PATCH ANTENNA IN 5.8 GHZ WLAN BAND
Facta Universitatis Series Electronics and Energetics, 2024
Massive MIMO based beamforming by optical multi-hop communication with energy efficiency for smart grid IoT 5G application
Asha Rajiv, Pankaj Kuamr Goswami, Rajesh Gupta, Suraj Malik, Usha Chauhan, et al.
Optical and Quantum Electronics, 2024
Energy Efficient ANFIS Supervised ShAPF for Harmonic Mitigation in PV based Micro-grid & Smart Electrical Systems
Water and Energy International, 2023
Soft Computing Supervised Smart Energy-Efficient Harmonic Current Compensation for Internet of things Devices
Water and Energy International, 2023
Compact Corner Truncated Fractal Slot Antenna for Cognitive Radio Sensor Network
P. K. Goswami, G. Goswami
IETE Journal of Research, 2023
Harmonic Distortions in Smart Devices: A Comprehensive Discussion on Challenges of Conventional and Future Smart IoT Devices
Uttam Kumar Gupta, Ravindra Pratap Singh, Pankaj Kumar Goswami
Electric Power Components and Systems, 2023
Adaptive Power Quality for Power Management Units using Smart Technologies
Arti Vaish, Pankaj Kumar Goswami, Surbhi Bhatia, Mokhtar Shouran
Adaptive Power Quality for Power Management Units Using Smart Technologies, 2023
Outline of 4G Unlicensed Bands in 3GPP LTE-Advanced Operator Duplex
Bharat Singh, Pankaj Kumar Goswami, K. Ranjith Singh, V.P. Arul Kumar, Piyush Mathurkar
2023 3rd International Conference on Advancement in Electronics and Communication Engineering Aece 2023, 2023
Harmonic distortions in smart devices: A comprehensive survey from conventional to future smart IoT devices
Uttam Kumar Gupta, Dinesh Sethi, Pankaj Kumar Goswami, Garima Goswami, Kumar Gautam
Adaptive Power Quality for Power Management Units Using Smart Technologies, 2023
ML-based Anomalies Detection in Wireless Network Link Layer of the Internet of Things (IoT)
Pankaj Kumar Goswami, Garima Goswami, Hussain Falih Mahdi, Arti Vaish, Bhupesh Kumar Dewangan, et al.
Hora 2023 2023 5th International Congress on Human Computer Interaction Optimization and Robotic Applications Proceedings, 2023
TECHNOLOGY AND USES FOR ENERGY STORAGE'S INCORPORATION INTO SMART GRIDS
Ranjan Kumar, Parvesh Belwal, Harsh Shrivastava, Jisha LK, Pankaj Kumar Goswami, et al.
Proceedings on Engineering Sciences, 2023
A Comprehensive Review on Deep Learning based Image Dehazing Techniques
Rahul Vishnoi, Pankaj Kumar Goswami
Proceedings of the 2022 11th International Conference on System Modeling and Advancement in Research Trends Smart 2022, 2022
A Comprehensive Review on Real Time Object Detection using Deep Learing Model
Pankaj Kumar Goswami, Garima Goswami
Proceedings of the 2022 11th International Conference on System Modeling and Advancement in Research Trends Smart 2022, 2022
Machine learning supervised antenna for software defined cognitive radios
Pankaj Kumar Goswami, Garima Goswami
International Journal of Electronics, 2022
ANFIS Supervised PID Controlled SAPF for Harmonic Current Compensation at Nonlinear Loads
G. Goswami, P. K. Goswami
IETE Journal of Research, 2022
A design analysis and implementation of PI, PID and fuzzy supervised shunt APF at nonlinear load application to improve power quality and system reliability
Garima Goswami, Pankaj Kumar Goswami
International Journal of System Assurance Engineering and Management, 2021
Self-adaptive learning based controller to mitigate PQ issues in internet of things devices
Garima Goswami, Pankaj Kumar Goswami
International Transactions on Electrical Energy Systems, 2021
A corner truncated fractal slot ultrawide spectrum sensing antenna for wireless cognitive radio sensor network
Pankaj Kumar Goswami, Garima Goswami
International Journal of Communication Systems, 2021
Microstrip Antenna with SVASTU Slot for UWB Applications
Shivani Chourasia, Sudhir Kumar Sharma, Pankaj Goswami
Lecture Notes in Electrical Engineering, 2021
Smart Wideband Sensing Antenna for Cognitive Radio Applications
Sakshi Singh, Pankaj Kumar Goswami, Garima Goswami, Jitesh Verma
Proceedings of the 2021 10th International Conference on System Modeling and Advancement in Research Trends Smart 2021, 2021
A Comprehensive Review: Shunt Active Power Filter for Nonlinear IoT Applications
Anuj Sharma, Garima Goswami, Pankaj Kumar Goswami, Rupali Mahajan
Proceedings of the 2021 10th International Conference on System Modeling and Advancement in Research Trends Smart 2021, 2021
Artificial Intelligence based PV-Fed Shunt Active Power Filter for IOT Applications
Garima Goswami, Pankaj Kumar Goswami
Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends Smart 2020, 2020
Wideband sensing antenna for smart cognitive radio applications
Pankaj Kumar Goswami, Garima Goswami
Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends Smart 2020, 2020
Power quality improvement at nonlinear loads using transformer-less shunt active power filter with adaptive neural fuzzy interface system supervised PID controllers
Garima Goswami, Pankaj K. Goswami
International Transactions on Electrical Energy Systems, 2020
Transient Specifications and Reactive Power Compensation Using ShAPF for Non-Linear Load Applications
Garima Goswami, Pankaj Kumar Goswami
Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends Smart 2019, 2020
Compact Fractal UWB EBG based Patch Antenna for Noninvasive Detection of Malignant Tissues
Pankaj Kumar Goswami, Garima Goswami
Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends Smart 2019, 2020
Truncated T parasite staircase fractal U-slot antenna for multiple advance internet of things applications
Pankaj K. Goswami, Garima Goswami
Microwave and Optical Technology Letters, 2020
A Frequency Reconfigurable Circular Microstrip Patch Antenna using PIN Diode
Prem Pal Singh, Sudhir Kumar Sharma, Punit Kalia, Pankaj Kumar Goswami
Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends Smart 2019, 2020
A compact frequency reconfigurable printed antenna for WLAN, WiMax multiple applications
Prem Pal Singh, Sudhir Kumar Sharma, Pankaj Kumar Goswami
Progress in Electromagnetics Research C, 2020
Frequency reconfigurable multiband antenna for IoT applications in WLAN, Wi-max, and C-band
Prem Pal Singh, Pankaj Kumar Goswami, Sudhir Kumar Sharma, Garima Goswami
Progress in Electromagnetics Research C, 2020
Trident shape ultra-large band fractal slot EBG antenna for multipurpose IoT applications
Pankaj Kumar Goswami, Garima Goswami
Progress in Electromagnetics Research C, 2019
Transformer less SLC for harmonic reduction in non linear load applications
Journal of Electrical Systems, 2018
A reconfigurable compact size fractal antenna for UWB RF energy harvesting
International Journal of Microwave and Optical Technology, 2018
EBG based parasitic coupled U-slot antenna for dual band and WB applications
International Journal of Microwave and Optical Technology, 2018
A comparative strategy using PI & fuzzy controller for optimization of power quality control
Garima Sinha, Pankaj Kumar Goswami, Sudhir Kumar Sharma
Indonesian Journal of Electrical Engineering and Informatics, 2018

PANKAJ KUMAR GOSWAMI

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Scopus Publications