Wireless network with machine learning and deep learning techniques Bhupal Arya, Amrita Kumari, Jogendra Kumar Emerging Trends in Computer Science and Its Application, 2025 In the current scenario of wireless technology, we go through the many challenges and issues surrounding the application and usage of tools, techniques of machine learning as well and deep learning algorithms in wireless networks. In heterogeneous networks, designing the machine learning foundation routing approach is challenging. At the beginning of this work, the fundamental basic concepts of (ML) machine learning and (DL)deep learning in different wireless networks are presented. Because of the constantly changing network conditions present in many ad-hoc networks, preparing data collection and training with that data is a particularly difficult process. In addition, this study gives an overview of several studies that used deep learning and machine learning techniques in a range of research areas, including networking, communications, and dissipative settings. Finding possible issues and challenging tasks is the main objective of this survey activity.
Comparative analysis of wireless routing protocols for security threat-A review Bhupal Arya, Amrita Kumari, Jogender Kumar Emerging Trends in Computer Science and Its Application, 2025 There are various security issues, challenges, and threats in wireless networks. In this paper, we review recent work in this field that primarily addresses such issues and challenges. Different researchers have taken various approaches to justify their research based on different parameters. Methods such as enhanced packet delivery, residual energy, and link quality, on-demand link and energy aware dynamic multipath (O-LEADM), Rate aware congestion control (RACC), Quadrature Amplitude Modulation (QAM), Quadrature Phase Shift Keying (QPSK), Network function virtualization (NFV), Software-defined network (SDN), hidden Markov model (HMM), IDS, scalable and energy-efficient cluster-based anomaly detection (SEECAD) etc. are used to identify jamming signal problems in fuzzy logic. The article discusses various issues and approaches covered by many researchers in last few years paying close attention to wireless network-related topics.
Development of an analytical model of drain current for junction less GAA MOSFET including source/drain resistance Applied Data Science and Smart Systems, 2024
Exploratory Testing of Software Product Linesusing Distance Metrics Ashish Saini, Raj Kumar, Amrita Kumari, Satendra Kumar, Mukesh Kumar Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution Cises 2023, 2023 Quality is very important in any software product, so that the customer trusts the efficiency of the product. The quality or validity of a product is measured by its testing. The test measures the quality of a product as well as shows the validity of the product. For example, testing and measuring the validity of a product in a single software system is not easy. Similarly, the software product line, which produces many different products of the same family at once, makes it even more difficult to check their validity and quality. Several techniques and models have been proposed to test the validity of the software line products and to ascertain the quality. In the same direction, we also propose a method for testing the products of software product line. The proposed method isbased on the distance between the features of the product (Desired and Original). We have used the proposed technique on product line with less features and found that the method presented gives fast and better results than traditional methods.
Recent Developments and Challenges in Strained Junctionless MOSFETs: A Review Amrita Kumari, Ashish Saini, Amit Kumar, Vivek Kumar, Mukesh Kumar Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution Cises 2023, 2023 Junctionless (JL) devices represent a new generation technological development. Several studies have been conducted with an emphasis on various JL device topologies with and without incorporating strain. In this paper, an attempt has been done to provide a succinct overview of strained-JL (S-JL) devices. Moreover, a review of modelling techniques has also been provided. The need for JL architecture has also been explored for unstrained devices. To examine the improvement in device performance, simulations have been performed by several research groups. According to the study, ultra-short channel devices are in need of this technology since additional scaling to increase transistor density and device functionality has already approached its maximum limit. The ultra-abrupt junctions need not to be constructed in JL devices. A study on the benefits of strain in JL MOSFETs has also been performed. In such strained devices, improvements in ON current of up to 30-40% have been characterized. Improvements in leakage currents and threshold voltage were also seen in strained devices.
An Energy-efficient Ferry-based Routing Algorithm for Scattered FANET Networks Ashish Saini, Sanjeev Kumar, Amrita Kumari, Satender Kumar, Amit Kumar, Amit Kumar Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution Cises 2023, 2023 Flying ad hoc networks (FANETs), have a wide range of applications in both civilian and military settings. Although, prevailing routing protocols are effective in well-connected networks, they struggle in sparse networks. To address this issue in FANETs, a new geographic routing method, utilizing a delay-tolerant routing protocol, is proposed in this paper. The proposed method combines position routing and delay tolerant network (DTN) to minimize routing errors. Here, beacons are transmitted by unmanned aerial vehicles (UA Vs) acting as ferries to inform about their succeeding anchor position to other nodes. The node receiving the beacon determines the closest ferry node and base station to the destination. Using the store-carry and forward approach, each node in the network handles sparse networks. Here, we focused to achieve low latency and have developed a novel communication protocol with two options to emphasize the need for lower latency and routing overhead when delivering data. Data collected by searching UAVs is sent to the base station using the ferry. The proposed model is validated using simulated scenarios, which show improved packet delivery, decreased end-to-end delay, and decreased overhead. The study highlights the importance of using communication methods that have lower latency and routing overhead to deliver data efficiently.
Edge Computing based IDS Detecting Threats using Machine Learning and PyCaret Amit Kumar, Sanjeev Kumar, Vivek Kumar, Amrita Kumari, Ashish Saini, Sarthak Gupta Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution Cises 2023, 2023 The Internet of Things is getting connected with the edge computing network day by day. These devices generate large amounts of confidential data that is stored and processed on edge computing. There is a need to protect such data and edge computing networks from new types of attacks. Therefore, intrusion detection system (IDS) is an effective defense to secure edge computing network. In this study, an IDS based on machine learning is designed and developed. This article elaborates the technique of Recursive Feature Elimination (RFE) using the Random Forest algorithm (RF). The contribution of this paper is to select a relevant and efficient feature set using the recently developed Python library PyCaret. This paper proposes a novel approach for detecting new types of attacks in network traffic. The recently released dataset CICIDS2017 has been used to evaluate the proposed method, which includes state-of-the-art attacks. In this paper, two classification techniques are also used to build the IDS model. The first is a binary classification technique using the recently developed PyCaret library, and the second is a multiclass classification technique using RFE.
Strained Junctionless MOSFETs: A Brief Review Amrita Kumari, Ashish Saini, Aditya Lama, Amit Kumar 2022 International Conference on 4th Industrial Revolution Based Technology and Practices Icfirtp 2022, 2022
Classification of Minority Attacks using Machine Learning Amit Kumar, Vivek Kumar, Ashish Saini, Amrita Kumari, Vipin Kumar 2022 International Conference on 4th Industrial Revolution Based Technology and Practices Icfirtp 2022, 2022
A Review Paper on IDS in Edge Computing or EoT Reshoo Devi, Amit Kumar, Vivek Kumar, Ashish Saini, Amrita Kumari, Vipin Kumar 2022 International Conference on 4th Industrial Revolution Based Technology and Practices Icfirtp 2022, 2022
Comprehensive Cloud Security Through Fuzzy Logic: Protecting Privacy and Facilitating Data Recovery SK Vishnoi, A Saini, A Kumari International Conference on Advancements in Smart Computing and Information … , 2025 2025.0
A study on artificial intelligence: An analysis of recent research and future predictions A Kumari, A Saini Web 3.0, 1-17 , 2024 2024.0 Citations: 3
Development of an analytical model of drain current for junctionless GAA MOSFET including source/drain resistance A Kumari, J Saha, A Saini, A Kumar Applied Data Science and Smart Systems, 43-48 , 2024 2024.0 Citations: 1
An Energy-efficient Ferry-based Routing Algorithm for Scattered FANET Networks A Saini, S Kumar, A Kumari, S Kumar, A Kumar 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023.0 Citations: 62
Recent Developments and Challenges in Strained Junctionless MOSFETs: A Review A Kumari, A Saini, A Kumar, V Kumar, M Kumar 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023.0 Citations: 13
Exploratory Testing of Software Product Linesusing Distance Metrics A Saini, R Kumar, A Kumari, S Kumar, M Kumar 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023.0 Citations: 60
Edge computing based ids detecting threats using machine learning and pycaret A Kumar, S Kumar, V Kumar, A Kumari, A Saini, S Gupta 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023.0 Citations: 7
Smart Chatbot for Guidance About Children’s Legal Rights A Kumar, P Joshi, A Saini, A Kumari, C Chaudhary, K Joshi International Conference On Emerging Trends In Expert Applications … , 2023 2023.0 Citations: 3
Strained Junctionless MOSFETs: A Brief Review A Kumari, A Saini, A Lama, A Kumar 2022 International Conference on Fourth Industrial Revolution Based … , 2022 2022.0 Citations: 27
A Review Paper on IDS in Edge Computing or EoT R Devi, A Kumar, V Kumar, A Saini, A Kumari, V Kumar 2022 International Conference on Fourth Industrial Revolution Based … , 2022 2022.0 Citations: 66
A Proposed Method of Machine Learning based Framework for Software Product Line Testing A Saini, A Kumari, S Kumar 2022 International Conference on Fourth Industrial Revolution Based … , 2022 2022.0 Citations: 65
Classification of Minority Attacks using Machine Learning A Kumar, V Kumar, A Saini, A Kumari, V Kumar 2022 International Conference on Fourth Industrial Revolution Based … , 2022 2022.0 Citations: 81
On the CV characteristics of nanoscale strained gate-all-around Si/SiGe MOSFETs A Kumari, S Kumar, TK Sharma, MK Das Solid-State Electronics 154, 36-42 , 2019 2019.0 Citations: 12
Strain induced changes in performance of strained-Si/strained-Si 1- y Ge y /relaxed-Si 1- x Ge x MOSFETs and circuits for digital applications K Subindu, K Amrita, D Mukul K Journal of Central South University 24 (6), 1233-1244 , 2017 2017.0 Citations: 3
Modeling gate-all-around Si/SiGe MOSFETs and circuits for digital applications S Kumar, A Kumari, MK Das Journal of Computational Electronics 16 (1), 47-60 , 2017 2017.0 Citations: 17
Development of a simulator for analyzing some performance parameters of nanoscale strained silicon MOSFET-based CMOS inverters S Kumar, A Kumari, MK Das Microelectronics journal 55, 8-18 , 2016 2016.0 Citations: 9
Analysis of nanoscale strained-Si/SiGe MOSFETs including source/drain series resistance through a multi-iterative technique A Kumari, S Kumar 2014 27th International Conference on VLSI Design and 2014 13th … , 2014 2014.0 Citations: 4
On the voltage transfer characteristics (VTC) of some nanoscale metal-oxide-semiconductor field-effect-transistors (MOSFETs) J Saha, A Kumari, S Jha, S Kumar Physics of Semiconductor Devices, 211-214 , 2014 2014.0 Citations: 5
A review on Agricultural Practices for Long-term Sustainability A Kumari, A Saini, A Kumar
Predictive Modeling of Maize Leaf Diseases Using Machine Learning Techniques A Kumari, N Anand, A Saini, A Kumar, S Sharma
MOST CITED SCHOLAR PUBLICATIONS
Classification of Minority Attacks using Machine Learning A Kumar, V Kumar, A Saini, A Kumari, V Kumar 2022 International Conference on Fourth Industrial Revolution Based … , 2022 2022.0 Citations: 81
A Review Paper on IDS in Edge Computing or EoT R Devi, A Kumar, V Kumar, A Saini, A Kumari, V Kumar 2022 International Conference on Fourth Industrial Revolution Based … , 2022 2022.0 Citations: 66
A Proposed Method of Machine Learning based Framework for Software Product Line Testing A Saini, A Kumari, S Kumar 2022 International Conference on Fourth Industrial Revolution Based … , 2022 2022.0 Citations: 65
An Energy-efficient Ferry-based Routing Algorithm for Scattered FANET Networks A Saini, S Kumar, A Kumari, S Kumar, A Kumar 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023.0 Citations: 62
Exploratory Testing of Software Product Linesusing Distance Metrics A Saini, R Kumar, A Kumari, S Kumar, M Kumar 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023.0 Citations: 60
Strained Junctionless MOSFETs: A Brief Review A Kumari, A Saini, A Lama, A Kumar 2022 International Conference on Fourth Industrial Revolution Based … , 2022 2022.0 Citations: 27
Modeling gate-all-around Si/SiGe MOSFETs and circuits for digital applications S Kumar, A Kumari, MK Das Journal of Computational Electronics 16 (1), 47-60 , 2017 2017.0 Citations: 17
Recent Developments and Challenges in Strained Junctionless MOSFETs: A Review A Kumari, A Saini, A Kumar, V Kumar, M Kumar 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023.0 Citations: 13
On the CV characteristics of nanoscale strained gate-all-around Si/SiGe MOSFETs A Kumari, S Kumar, TK Sharma, MK Das Solid-State Electronics 154, 36-42 , 2019 2019.0 Citations: 12
Development of a simulator for analyzing some performance parameters of nanoscale strained silicon MOSFET-based CMOS inverters S Kumar, A Kumari, MK Das Microelectronics journal 55, 8-18 , 2016 2016.0 Citations: 9
Edge computing based ids detecting threats using machine learning and pycaret A Kumar, S Kumar, V Kumar, A Kumari, A Saini, S Gupta 2023 International Conference on Computational Intelligence and Sustainable … , 2023 2023.0 Citations: 7
On the voltage transfer characteristics (VTC) of some nanoscale metal-oxide-semiconductor field-effect-transistors (MOSFETs) J Saha, A Kumari, S Jha, S Kumar Physics of Semiconductor Devices, 211-214 , 2014 2014.0 Citations: 5
Analysis of nanoscale strained-Si/SiGe MOSFETs including source/drain series resistance through a multi-iterative technique A Kumari, S Kumar 2014 27th International Conference on VLSI Design and 2014 13th … , 2014 2014.0 Citations: 4
A study on artificial intelligence: An analysis of recent research and future predictions A Kumari, A Saini Web 3.0, 1-17 , 2024 2024.0 Citations: 3
Smart Chatbot for Guidance About Children’s Legal Rights A Kumar, P Joshi, A Saini, A Kumari, C Chaudhary, K Joshi International Conference On Emerging Trends In Expert Applications … , 2023 2023.0 Citations: 3
Strain induced changes in performance of strained-Si/strained-Si 1- y Ge y /relaxed-Si 1- x Ge x MOSFETs and circuits for digital applications K Subindu, K Amrita, D Mukul K Journal of Central South University 24 (6), 1233-1244 , 2017 2017.0 Citations: 3
Development of an analytical model of drain current for junctionless GAA MOSFET including source/drain resistance A Kumari, J Saha, A Saini, A Kumar Applied Data Science and Smart Systems, 43-48 , 2024 2024.0 Citations: 1
Comprehensive Cloud Security Through Fuzzy Logic: Protecting Privacy and Facilitating Data Recovery SK Vishnoi, A Saini, A Kumari International Conference on Advancements in Smart Computing and Information … , 2025 2025.0
A review on Agricultural Practices for Long-term Sustainability A Kumari, A Saini, A Kumar
Predictive Modeling of Maize Leaf Diseases Using Machine Learning Techniques A Kumari, N Anand, A Saini, A Kumar, S Sharma
