singam aruna

Scopus Publications

Design and improved performance of gate stacked dual material gate all around nanowire field effect transistor with spacer based underlap extension
Hina Ismat, Singam Aruna, Srinivasa Naik K, B Balaji
Engineering Research Express, 2026
This work presents the design and optimization of a gate-stacked underlap-engineered silicon nanowire MOSFET (GSUESNW-MOSFET) with an HfO 2 spacer for the 10-nm technology node. The electric field generated by the device work function difference at the metal-to-metal interface in the gate stacking is coupled to the nanowire channel through the HfO 2 spacer. This coupling becomes significant when the electric field maximum at the channel drain extension terminal is reduced. The reduction in electric field increases the tunneling width (w) and effectively suppresses lateral band-to-band tunneling (L-BTBT) component of Gate-Induced Drain Leakage (GIDL) in the proposed structure. The underlap extension regions in the proposed device will reduce the electric field penetration from the drain to the channel, thereby suppressing drain-induced barrier lowering (DIBL). Using 3D TCAD simulations, the work demonstrates that the OFF-state current is reduced from 6.43 × 10 −10 Amp to 2.01 × 10 −11 Amp, and the I on to I off ratio is increased from 3.45 × 107 to 3.91 × 108 for a 10 nm channel length at an oxide thickness of 2 nm. The I on to I off ratio is 3.91 × 108 with a high transconductance of 2.97 mS μm −1 , Subthreshold Swing (SS) of 79 mV dec −1 , even though the channel length is scaled down to 10 nm. Extensive Technology Computer-Aided Design (TCAD) simulations show the superior performance of the proposed GSN MOSFET structure over conventional nanowire, Nanowire with Underlap, and Nanowire with Underlap HfO 2 spacer, indicating its potential for low-power and high-performance nanoscale applications.
Designing a New Potato and Banana Disease Detection Using Trans-Unet++ and Classification Through Gather-Excite Network
Divyakanti Rongali, Sasibhushana Rao Gottapu, Aruna Singam
2026 6th International Conference on Advances in Electrical Computing Communications and Sustainable Technologies Icaect 2026, 2026
Banana was one of the most widely cultivated fruits across the world, yet its yield were heavily impacted each year by various leaf diseases. Detecting these diseases at an early stage is essential for improving overall production. Potato farming also suffered from similar challenges, as pests reduce the quality and yield of the harvested crops. Thus, the reduction in quantity and quality led to reduced income for farmers, because of trade restrictions, limited market access, and price drops. There are various factors, which affect the degradation of agricultural products. Hence, minimizing plant diseases is essential for ensuring higher crop quality and improved farming efficiency. So, a new potato and banana disease detection technique is suggested in this research work with a deep learning technique. In the initial phase, essential images needed for the validation is collected from the benchmark resources. Next, the collected images are given to the disease detection phase using Transformer Unet++ (Trans-Unet++). Then, the disease detected images are given to the disease classification phase. Here, the potato and banana diseases are classified using Gather-Excite Network (GENet). At last, multiple experiments are carried out in the developed framework over classical mechanisms to verify its efficiency.
Linear Antenna Array Design with Dolph-Chebyshev Method for High Gain and Side-Lobe Reduction in Wireless Systems
A. Srinag, S. Aruna, K. Srinivasa Naik
Journal of Nano and Electronic Physics, 2026
Journal of Nano- and Electronic Physics. Scientific journal. ISSN: 2077-6772. Journal abbreviation: J. Nano- Electron. Phys. No page charges. All articles are freely available on-line. Issued 4 times per year. Publisher: Sumy State University. (Sumy, Ukraine)
MSFCS-Net: A Dual-Decoder Architecture for an Efficient Segmentation of Optic Disc and Optic Cup
Kowju Gayatri, Birendra Biswal, Singam Aruna
IETE Journal of Research, 2026
Fundus photography significantly enhances the detection mechanism of ophthalmic conditions that affect the vision of the eye. One of these conditions, Glaucoma, which is widely known as the silent thief of vision, is due to its subtle signs in causing vision loss. Precise localisation of the Optic Cup (OC) & Optic Disc (OD) from retinal images enhances the diagnostic accuracy of Glaucoma. Thus, to develop an automated model, this research proposes a Multi-Scale Feature-driven Condition-based Segmentation Network (MSFCS-Net), an improved Deep Convolutional Neural Network (DCNN) that elevates the segmentation efficiency by learning feature maps of several sizes using a multi-scale encoder. In this paper, the Residual Depth-wise Separable Convolution Module (RDSCM) is employed to preserve spatial information, reducing the hyperparameter size to mitigate the burden of computational complexity. Furthermore, a Triple Attention Mechanism (TAM) is integrated to elevate the pertinent feature maps, enabling the network to achieve high intra-class variance between the pixel values of different classes. Additionally, a novel condition-based segmentation mechanism is proposed to control the segmentation of the OC using the predicted maps of the OD via a dual decoder of the MSFCS-Net. This model has shown a remarkable improvement in the segmentation of OD and OC regions when validated with different publicly available datasets such as REFUGE, Rim-One, and ORIGA, for accurate diagnosis of Glaucoma. The MSFCS-Net model achieved an average accuracy of 99.67, an intersection over union of 99.34 and a Dice coefficient of 99.66 on the ORIGA, outperforming the existing models with the proposed model.
BMA-CenterNet based multi-leaf multi-disease classification and invasive plant identification framework using cdeboar-50
Rongali Divyakanti, Gottapu Sasibhushana Rao, S. Aruna
Computers and Electrical Engineering, 2025
Classification of major depressive disorder patients using KNN classifier
K. Padmaleela, S. Aruna, P. Rajesh Kumar
Aip Conference Proceedings, 2025
Advanced Plant Disease Classification Using Trans-R2UNet Segmentation and Gabor Dilated CNN with Spatial Attention
Rongali Divyakanti, Gottapu Sasibhushana Rao, Singam Aruna
Ingenierie Des Systemes D Information, 2025
The rapid growth of plant disease has influenced the economy of the developing nation by minimizing crop productivity.Conventional plant disease categorization approaches were hard to implement and consumed more time for processing, which made the classification task more complicated.Moreover, due to the increasing global population, implementing advanced technology in the field of agriculture is essential to guarantee continuous food supply for future generations.Currently, to perform plant disease detection, deep learning approaches are implemented since they offer more accurate detection outcomes within a short duration.However, they demand for huge volume of data and resources for processing.Therefore, it is essential to design an effective model to offer generalized outcomes in plant disease classification and to overcome the complexities of the classical networks.Initially, the raw plant leaf images are collected from the standard resource.Later, the collected images are offered to the designed Transformer-based Recurrent Residual U-Net (Trans-R2UNet) to perform plant disease segmentation.Then, the segmented images are subjected directly to the classification system.Here, the classification is carried out using the Gabor Dilated Convolutional Neural Network with Spatial Attention (GDCNN-SA).The proposed GDCNN-SA achieved CSI values of 37.14 and an accuracy of 98.55%.But, the existing GDCNN had 10.79 CSI values and 82.02% accuracy.Further, the proposed Trans-R2UNet had 0.268 accuracy in segmentation, thus significantly improving disease detection.The experimental evaluation demonstrated that the designed system obtained superior results in classifying the plant disease.Overall, the proposed work promotes sustainable environmental modeling and data-driven environmental assessments.
Designing a New Tomato Leaf Disease Classification Framework using RAN-based Adaptive Fuzzy C-Means with Heuristic Algorithm Model
Rongali Kanti, Gottapu Sasibhushana Rao, Singam Aruna
Serbian Journal of Electrical Engineering, 2025
In tomato production, one of the most significant problems is the identification of Tomato Leaf Disease (TLD). Plant leaf disease is the primary factor that influences both the quality and quantity of crop production. India holds the second position in tomato making. However, multiple diseases contribute to the decline in the quality of tomatoes and the decrease in crop yield. Hence, it is important to accurately categorize and diagnose the tomato plant leaf infection. The productions of tomatoes are impacted by many leaf diseases. Early recognition of the diseases helps to reduce the disease infection and improve the yield of crops. Certain diseases are identified and classified using several methods. Therefore, the TLD classification and identification model is developed to solve the above problems. The images related to tomato leaves are aggregated in the initial phase through online sources. Then, the images are forwarded to the pre-processing phase. Further, the pre-processed image is given to the segmentation process, where the Adaptive Fuzzy C-Means (AFCM) technique is utilized. Meanwhile, the parameters of the AFCM algorithm complicate the cluster assignment in the presence of outliers or noise, thus resulting in reduced clustering performance. So, the parameters of AFCM are tuned by utilizing the new improved algorithm named Dingo Optimization Algorithm (DOA) to improve the clustering accuracy. It is done by assuming the AFCM parameters as a population of Dingoes and the maximum classification accuracy as its fitness function. Finally, the segmented images are fed to the classification process, where the Residual Attention Network (RAN) is used to attain the classified outcomes. Therefore, the investigated system shows a more efficient TLD prediction rate compared to traditional techniques in the experimental investigation. The results from the experiments indicate that the suggested models exhibit exceptional classification performance, achieving an accuracy rate of 95.22%. Therefore, the model suggests advancement in predictive capabilities over traditional methods.
LINEAR ARRAY DESIGN WITH DOLPH-CHEBYSHEV METHOD FOR HIGH GAIN AND SIDE-LOBE REDUCTION IN IoT APPLICATIONS
A. Srinag, Singam Aruna, Kethavathu Srinivasa Naik
Telecommunications and Radio Engineering English Translation of Elektrosvyaz and Radiotekhnika, 2025
The paper introduces a linear array design utilizing the Dolph-Chebyshev method, aiming for high gain while minimizing side-lobe levels for internet of things (IoT) applications. The approach offers a balance between the parameters, enabling the attainment of the narrowest beam width for a specified side-lobe level and vice versa. While various methods exist for reducing side-lobe levels to conserve power and enhance service quality, this study focuses on a 7-element array using the Dolph-Chebyshev method. Comparative analyses of resulting patterns across different side-lobe levels reveal that increased gain and directivity are not necessarily achieved with reduced side-lobe levels. The microstrip comb-line antenna array tailored for 5 GHz IoT applications is implemented on a Rogers RO4003C substrate measuring 200 &times; 50 mm<sup>2</sup>, with a gain of 13 dBi. The side-lobe levels achieved are below -18 dB at 5 GHz.
Highly Isolated and Miniaturized SIW Based Self-Quadplexing Antenna with Modified CSRR-Inspired Slots for S-Band Wireless Applications
Matta Venkata Pullarao, Singam Aruna, Kethavathu Srinivasa Naik
Progress in Electromagnetics Research M, 2025
Rotman Lens-Based Combline Series-Feed Beam Steering Antenna Array for 5G IoT Applications
, A. Srinag, S. Aruna, , K. Srinivasa Naik, and
Journal of Nano and Electronic Physics, 2025
Implementation of SPI Protocol with Adaptive Baud Rate and Configurable N-Bit Transmission
Singam Aruna, Kethavathu Srinivasa Naik, J Divya Harika, Ponnada Divya
2025 International Conference on Intelligent Innovations in Engineering and Technology Iciiet 2025, 2025
Design and Simulation of Dual-Band UHF/2.45 GHz RFID Reader Antenna
Aruna S, Srinivasa Naik K, Srinag A, Rama Devi S, Sai Lakshmi L
Proceedings of 2025 1st International Conference on Radio Frequency Communication and Networks Rfcon 2025, 2025
DESIGN OF A FOUR-ELEMENT SEMI-CIRCULAR MICROSTRIP PATCH ANTENNA FOR ENHANCED BANDWIDTH AND GAIN
S. Aruna, Kethavathu Srinivasa Naik, Gara Sahithi, Sureddi Hema Latha, Veedhi Janaki Viharika, Botta Sai Keerthi, Malijeddi Swetha
Telecommunications and Radio Engineering English Translation of Elektrosvyaz and Radiotekhnika, 2025
OCTA-ELEMENT MIMO ANTENNA FOR SATELLITE COMMUNICATION
Singam Aruna, Kethavathu Srinivasa Naik, D. Laxmi Narayana, Kadali Lavanya, G. Komali, B. Deepika, Ishrath Abida
Telecommunications and Radio Engineering English Translation of Elektrosvyaz and Radiotekhnika, 2025
Switchable beam generation in a reflectarray antenna using rotman lens and combline array feed for IoT
A. Srinag, S. Aruna, K. Srinivasa Naik
International Journal on Interactive Design and Manufacturing, 2024
PLANAR ANTENNA WITH PATTERN RECONFIGURABILITY FOR IOT APPLICATIONS
Srinag A, S. Aruna, K.Srinivasa Naik
Telecommunications and Radio Engineering English Translation of Elektrosvyaz and Radiotekhnika, 2024
Compact and Highly Isolated QMSIW Based Self-Diplexing Antenna for Smart Traffic V2V Communication Applications
Matta Venkata Pullarao, S Aruna, K Srinivasa Naik
2024 IEEE Microwaves Antennas and Propagation Conference Mapcon 2024, 2024
Self-Diplexing Antenna based on QMSIW with High Isolation for 5G NR Band Applications
Matta Venkata Pullarao, S Aruna, K Srinivasa Naik
Intelligent Computing and Emerging Communication Technologies ICEC 2024, 2024
A Comprehensive Overview on Data Augmentation Techniques for Medical Images
Swarajya Madhuri Rayavarapu, Tammineni Shanmukha Prasanthi, Sasibhushana Rao Gottapu, Aruna Singam
5th International Conference on Electronics and Sustainable Communication Systems Icesc 2024 Proceedings, 2024
A REVIEW OF GENERATIVE ADVERSARIAL NETWORKS FOR SECURITY APPLICATIONS
Swarajya Madhuri Rayavarapu, Shanmukha Prasanthi Tammineni, Sasibhushana Rao Gottapu, Aruna Singam
Informatyka Automatyka Pomiary W Gospodarce I Ochronie Srodowiska, 2024
Design and Analysis of a 4-Element MIMO Antenna with Metamaterial Decoupling Structure for Improved Isolation
Singam Aruna, K Srinivasa Naik Associate, Gubbala Kishore Babu, P A Sunny Dayal, Satyasis Mishra, K. Joginaidu
2nd International Conference on Signal Processing Communication Power and Embedded Systems Scopes 2024, 2024
Energy-Efficient Arithmetic Processing: Optimizing 4-Bit Alu's For 32nm Cmos Technology
K Srinivasa Naik, Singam Aruna, P A Sunny Dayal, Srisailapu Nagasai, Satyasis Mishra, G. Lavanya
2nd International Conference on Signal Processing Communication Power and Embedded Systems Scopes 2024, 2024
Design of Advanced Test Adaptive Shielding for Interference Mitigation for High-Speed Circuitry
Singam Aruna, K Srinivasa Naik, P A Sunny Dayal, Roshitha Charan Sai, G Srilatha, K. Ramya
2nd International Conference on Signal Processing Communication Power and Embedded Systems Scopes 2024, 2024
MULTI-RING OCTAGONAL-ELEMENT MIMO ANTENNA USING PARTIAL GROUND STRUCTURE WITH ENHANCED ISOLATION FOR UWB, K, AND KU BAND APPLICATIONS
S. Aruna, K. Srinivasa Naik, Koilada Jyothsna Rani, P. Jyothika, G. Mahitha, K. Anitha, V. Chandra Lalitha
Telecommunications and Radio Engineering English Translation of Elektrosvyaz and Radiotekhnika, 2024
A Novel Paddy Leaf Disease Detection Framework using Optimal Leaf Disease Features in Adaptive Deep Temporal Context Network
R. Divya Kanti, G. Sasibhusana Rao, S. Aruna, Rajkumar Goswami
International Journal on Recent and Innovation Trends in Computing and Communication, 2023
Isotropic Radiation Coverage in IoT: Water Drop-Shaped Ultra-Wideband Antenna
A. Srinag, S. Aruna, K. Srinivasa Naik
2023 1st International Conference on Circuits Power and Intelligent Systems Ccpis 2023, 2023
Analytical Modelling of Trapezoidal Monopole Structured Antenna for Wi-Fi, Industrial Scientific and Medical, and Wireless Communication System Applications †
Gubbala Kishore Babu, Singam Aruna, Kethavathu Srinivasa Naik
Engineering Proceedings, 2023
Design Implementation of Trapezoidal Notch Band Monopole Antenna for LTE, ISM, Wi-MAX and WLAN Communication Applications †
Gubbala Kishore Babu, Singam Aruna, Kethavathu Srinivasa Naik
Engineering Proceedings, 2023
Conflicting Parameter Pair Optimization for Linear Aperiodic Antenna Array using Chebyshev Taper based Genetic Algorithm
Laxmi Lavanya Yenneti, Aruna Singam, Sasibhushana Rao Gottapu
International Journal on Recent and Innovation Trends in Computing and Communication, 2023
Broadband Inverted L-Shaped DRA for IoT Applications
A. Srinag, S. Aruna, K.Srinivasa Naik
2023 1st International Conference on Circuits Power and Intelligent Systems Ccpis 2023, 2023
IoT-Enabled Intelligent Home Using Google Assistant
Balarama Krishna Veeramalla, S. Aruna, K. Srinivasa Naik
Lecture Notes in Electrical Engineering, 2023
Analysis of a Microstrip Log-Periodic Dipole Antenna with Different Substrates
Suresh Prasad, S. Aruna, K. Srinivasa Naik
Lecture Notes in Electrical Engineering, 2023
Conformal Lower Edge Corner Defected CPW-fed Elliptical Ring Shaped Antenna for UWB Applications
International Journal of Microwave and Optical Technology, 2022
Cell Optimization and Realization of QCA flip flop
T.V. Yashwanth Mouli, S. Aruna, K Srinivasa Naik
Proceedings 2022 International Conference on Computing Communication and Power Technology Ic3p 2022, 2022
FOUR-ELEMENT MIMO ANTENNA WITH HIGH ISOLATION AND DIVERSITY PERFORMANCE FOR UWB APPLICATIONS
Giday Gebrehiwot, S. Aruna, Srinivasa Naik Kethavathu
Telecommunications and Radio Engineering English Translation of Elektrosvyaz and Radiotekhnika, 2022
Quad-Element MIMO Antenna with Enhanced Isolation for UWB Applications
Giday Gebrehiwot Bsrat, Singam Aruna, K Srinivasa Naik
Ecs Transactions, 2022
Cost Efficient Design Of Error Detection Circuit For Nano Communication
C. Nikitha, S. Aruna, K Srinivasa Naik
Proceedings 2022 International Conference on Computing Communication and Power Technology Ic3p 2022, 2022
Design and Simulation Analysis of HIRA for Hardening of Critical Facilities against IEMI
Botsa Venkata Ramana, S. Aruna, K Srinivasa Naik, Bandaru Subbarao
Proceedings 2022 International Conference on Computing Communication and Power Technology Ic3p 2022, 2022
Eight Element Low-Cost Microstrip MIMO Antenna for Wi-MAX and 5G Applications
D. Lakshmi Narayana, S. Aruna, Sourav Roy, K Srinivasa Naik
Wireless Personal Communications, 2021
Compact symmetrical slot coupled linearly polarized two/four/eight element MIMO bowtie DRA for WLAN applications
Srinivasa Naik Kethavathu, Aruna Singam, Pachiyannan Muthusamy
AEU International Journal of Electronics and Communications, 2021
SYMMETRICAL HIGH ISOLATED SLOT-COUPLED EIGHT-ELEMENT MULTIPLE-INPUT-MULTIPLE-OUTPUT BOWTIE DIELECTRIC RESONATOR ANTENNA FOR 5.2 GHz WLAN APPLICATIONS
Srinivasa Naik Kethavathu, S. Aruna
Telecommunications and Radio Engineering English Translation of Elektrosvyaz and Radiotekhnika, 2021
A Low Profile 4-Element Isosceles Triangular MIMO Antenna for WLAN/Wi-MAX Application
Kondalu Banavathu, Aruna Singam
2021 IEEE Indian Conference on Antennas and Propagation Incap 2021, 2021
Design of two slot multiple input multiple output uwb antenna for wimax and wlan applications
S. Malathi, S. Aruna, K. Srinivasa Naik, B. Bharani
Advances in Intelligent Systems and Computing, 2021
V band frequency reconfigurable antenna for millimeter wave applications
S. Malathi, S. N. Kethavathu, S. Aruna
Telecommunications and Radio Engineering English Translation of Elektrosvyaz and Radiotekhnika, 2020
Compact Slot-Based Mimo Antenna for 5G Communication Application
Sourav Roy, Srinivasa Naik, S. Aruna, S. K. Gousia Begam
Lecture Notes in Networks and Systems, 2020
Optimized Cylindrical and Rectangular DR Antenna for Ultra-Wideband Applications
K. Srinivasa Naik, D. Madhusudhan, S. Chandini, S. Aruna
Lecture Notes in Networks and Systems, 2020
Analysis of DRA with Different Shapes for X-Band Applications
P. Suneetha, K. Srinivasa Naik, Pachiyannan Muthusamy, S. Aruna
Lecture Notes in Networks and Systems, 2020
Implementation of 5-stage 32-bit microprocessor based without interlocked pipelining stages
S. Aruna, K. Srinivasa Naik, D. Madhusudan, V. Venkatesh
International Journal of Innovative Technology and Exploring Engineering, 2019
Pp Arying accuracy configurable multipliers integrated by utilizing quality 4:2 compressors
International Journal of Recent Technology and Engineering, 2019
Design of 9-T QSTCAM using LECTOR low power technique in 45nm CMOS technology
International Journal of Recent Technology and Engineering, 2019
A low power and high speed array multiplier using on-the-fly conversion
International Journal of Recent Technology and Engineering, 2019
Design and analysis of different patch geometry and complementary split ring resonator for X-band applications
International Journal of Recent Technology and Engineering, 2019
Comparative studies on wave guide open slot radiator, H-Plane T-junction radiator
S. Aruna, G. S. N. Raju, P. V. Sridevi
Indian Journal of Science and Technology, 2016
Design and implementation of 15-4 compressor using 1-bit Semi Domino full adder at 28nm technology
G. Raju, S. Aruna, G. Ranjith Kumar, S. Vasu Krishna
Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, 2016
Investigations on the generation of patterns for marine radar applications
K. Srinivasa Naik, S. Aruna
Indian Journal of Science and Technology, 2016

RECENT SCHOLAR PUBLICATIONS

Design and improved performance of gate stacked dual material gate all around nanowire field effect transistor with spacer based underlap extension
H Ismat, S Aruna, SN K, B Balaji
Engineering Research Express 8 (7), 075309 , 2026
2026
MSFCS-Net: A Dual-Decoder Architecture for an Efficient Segmentation of Optic Disc and Optic Cup
K Gayatri, B Biswal, S Aruna
IETE Journal of Research, 1-19 , 2026
2026
Linear Antenna Array Design with Dolph-Chebyshev Method for High Gain and Side-Lobe Reduction in Wireless Systems
A Srinag, S Aruna, KS Naik
Sumy State University , 2026
2026
Implementation of SPI Protocol with Adaptive Baud Rate and Configurable N-Bit Transmission
S Aruna, KS Naik, JD Harika, P Divya
2025 International Conference on Intelligent Innovations in Engineering and … , 2025
2025
BMA-CenterNet based multi-leaf multi-disease classification and invasive plant identification framework using cdeboar-50
R Divyakanti, GS Rao, S Aruna
Computers and Electrical Engineering 128, 110732 , 2025
2025
Citations: 1
Design and Simulation of Dual-Band UHF/2.45 GHz RFID Reader Antenna
S Aruna, A Srinag, S Rama Devi, L Sai Lakshmi
2025 1st International Conference on Radio Frequency Communication and … , 2025
2025
Citations: 1
Advanced Plant Disease Classification Using Trans-R2UNet Segmentation and Gabor Dilated CNN with Spatial Attention.
R Divyakanti, GS Rao, S Aruna
Ingénierie des Systèmes d'Information 30 (4) , 2025
2025
DESIGN OF A FOUR-ELEMENT SEMI-CIRCULAR MICROSTRIP PATCH ANTENNA FOR ENHANCED BANDWIDTH AND GAIN
S Aruna, KS Naik, G Sahithi, SH Latha, VJ Viharika, BS Keerthi, M Swetha
Telecommunications and Radio Engineering 84 (8) , 2025
2025
Citations: 2
Rotman Lens-Based Combline Series-Feed Beam Steering Antenna Array for 5G IoT Applications
A Srinag, S Aruna, KS Naik
Sumy State University , 2025
2025
LINEAR ARRAY DESIGN WITH DOLPH-CHEBYSHEV METHOD FOR HIGH GAIN AND SIDE-LOBE REDUCTION IN IoT APPLICATIONS
KS Naik, A Srinag, S Aruna
Telecommunications and Radio Engineering 84 (10) , 2025
2025
Citations: 1
OCTA-ELEMENT MIMO ANTENNA FOR SATELLITE COMMUNICATION
S Aruna, KS Naik, DL Narayana, K Lavanya, G Komali, B Deepika, I Abida
Telecommunications and Radio Engineering 84 (10) , 2025
2025
Designing a new tomato leaf disease classification framework using ran-based adaptive fuzzy c-means with heuristic algorithm model
RD Kanti, GS Rao, S Aruna
Serbian Journal of Electrical Engineering 22 (1), 113-143 , 2025
2025
Citations: 2
Highly isolated and miniaturized SIW based self-quadplexing antenna with modified CSRR-inspired slots for S-band wireless applications
MV Pullarao, S Aruna, KS Naik
Progress In Electromagnetics Research M 131, 9-17 , 2025
2025
Citations: 1
Design of Advanced Test Adaptive Shielding for Interference Mitigation for High-Speed Circuitry
S Aruna, KS Naik, PAS Dayal, RC Sai, G Srilatha, K Ramya
2024 2nd International Conference on Signal Processing, Communication, Power … , 2024
2024
Design and Analysis of a 4-Element MIMO Antenna with Metamaterial Decoupling Structure for Improved Isolation
S Aruna, KSN Associate, GK Babu, PAS Dayal, S Mishra, K Joginaidu
2024 2nd International Conference on Signal Processing, Communication, Power … , 2024
2024
Energy-Efficient Arithmetic Processing: Optimizing 4-Bit Alu's For 32nm Cmos Technology
KS Naik, S Aruna, PAS Dayal, S Nagasai, S Mishra, G Lavanya
2024 2nd International Conference on Signal Processing, Communication, Power … , 2024
2024
Citations: 1
Compact and Highly Isolated QMSIW Based Self-Diplexing Antenna for Smart Traffic V2V Communication Applications
MV Pullarao, S Aruna, KS Naik
2024 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON), 1-5 , 2024
2024
Self-Diplexing Antenna based on QMSIW with High Isolation for 5G NR Band Applications
MV Pullarao, S Aruna, KS Naik
2024 International Conference on Intelligent Computing and Emerging … , 2024
2024
Citations: 1
Switchable beam generation in a reflectarray antenna using rotman lens and combline array feed for IoT
A Srinag, S Aruna, KS Naik
International Journal on Interactive Design and Manufacturing (IJIDeM) 18 (7 … , 2024
2024
Citations: 2
Analytical Modelling of Trapezoidal Monopole Structured Antenna for Wi-Fi, Industrial Scientific and Medical, and Wireless Communication System Applications
GK Babu, S Aruna, KS Naik
Engineering Proceedings 59 (1), 147 , 2024
2024
Citations: 4

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