Sanjay Mahadev Koli

Scopus Publications

Novel energy efficient RND inverter using quantum dot cellular automata in nanotechnology
Madhavi Repe, Sanjay Koli
Scientific Reports, 2024
Quantum-Dot Cellular Automata (QCA) is a promising technology for designing high-performance and efficient logic circuits, surpassing traditional Complementary Metal Oxide Semiconductor approaches. In today’s digital era, the demand for digital circuits with high speed, device density, and energy efficiency is paramount. This paper focuses on the innovative Rotated Normal Cells with Displacement (RND) inverter model, employing normal and rotated cells with a 10 nm displacement through a cell interactive method. Digital circuits designed using the RND inverter exhibit superior performance compared to existing designs. The proposed RND inverter gate utilizes only four QCA cells, occupying a total area of 4525.55 nm2. With a total energy dissipation of 0.508 meV and an average energy dissipation per cycle of 0.0462 meV, it achieves a polarization of 9.77. The novel RND inverter demonstrates a 44% improvement in cell area and a 63% reduction in total area compared to current designs, offering enhanced energy efficiency with 0.26 improved polarization. The RND inverter and the digital circuits facilitate finding applications in efficiently constructing various components within Quantum Computers. Beyond quantum computing, the RND inverter proves applicable in designing Nano-sized electronic gadgets and temperature-controlled circuits, showcasing its versatility across diverse technological applications.
Enhanced deep learning technique for sugarcane leaf disease classification and mobile application integration
Swapnil Dadabhau Daphal, Sanjay M. Koli
Heliyon, 2024
With an emphasis on classifying diseases of sugarcane leaves, this research suggests an attention-based multilevel deep learning architecture for reliably classifying plant diseases. The suggested architecture comprises spatial and channel attention for saliency detection and blends features from lower to higher levels. On a self-created database, the model outperformed cutting-edge models like VGG19, ResNet50, XceptionNet, and EfficientNet_B7 with an accuracy of 86.53%. The findings show how essential all-level characteristics are for categorizing images and how they can improve efficiency even with tiny databases. The suggested architecture has the potential to support the early detection and diagnosis of plant diseases, enabling fast crop damage mitigation. Additionally, the implementation of the proposed AMRCNN model in the Android phone-based application gives an opportunity for the widespread use of mobile phones in the classification of sugarcane diseases.
Optimized Vedic Multiplier Using 3nm Nanosheet Technology
Swati S. Shetkar, Sanjay Koli
2024 International Conference on Emerging Smart Computing and Informatics Esci 2024, 2024
Nanosheet FET technology is an alternative to FinFET and CMOS technology as it gives low leakage current and low power consumption. NS-FET has better mobility and scaling compared to CMOS technology. Multiplier is an important arithmetic circuit required in many digital arithmetic applications. Area, power-efficient multiplier is the need of ALU. Vedic sutras not only reduce hardware but also improve parameters like power and delay. This paper explains the implementation of Vedic arithmetic circuits of 3 nm NS-FET technology in physical layout. The proposed designs are implemented in Micro wind EDA 3.9 with 3 nm deep submicron technology post layout. The values of model parameters are used from the current Berkeley 4 short channel model (BSIM-CMG). The performances of the Ex-OR gate, 2-bit Vedic multiplier are analyzed. Analyzed results show that the proposed I design of Vedic Multiplier shows 96.40% and the proposed II design shows 117.82% power reduction compared to the 14nm VM.
Squaring Circuit Using 14nmFinFET Technology with Vedic Mathematics Approach
Swati Shetkar, Sanjay Koli
IETE Journal of Research, 2024
FinFET technology is an alternative to CMOS technology as in this technology device has higher drive current, speed, and low-power consumption. FinFET has better mobility and scaling than CMOS technology. A dedicated Squaring circuit is needed by many digital signal processors (DSP) and arithmetic and logical units (ALU). So fast, power-efficient, and compact squaring circuits can be designed with Vedic sutras. Vedic mathematics has 16 sutras and 13 sub-sutras that touch almost all different chapters of mathematics. Out of these sutras, Dwandwayoga has a duplex property that is used to find a square of an N-bit number. Also, Yavadunam is a special case for finding the square of a number that is closer to the base. This work targets a comparative analysis of these two square circuits having a Vedic approach with a conventional array multiplier. The proposed designs are implemented in micro-wind 3.9 electronic design automation tool (EDA) with 14 nm deep submicron technology post-layout. The values of model parameters are used from the current Berkeley 4 short channel model (BSIM4). It is observed that the proposed square architecture design using the Dwandwayog sutra and Yavadunam sutra achieves 185%, 272.45% delay depletion and a 122.22%, and 46.52% reduction in transistor requirements compared to the conventional array multiplier, respectively.
Area, power efficient Vedic multiplier architecture using novel 4:2 compressor
Swati Shetkar, Sanjay Koli
Sadhana Academy Proceedings in Engineering Sciences, 2023
Enhancing sugarcane disease classification with ensemble deep learning: A comparative study with transfer learning techniques
Swapnil Dadabhau Daphal, Sanjay M. Koli
Heliyon, 2023
Deep learning practices in the agriculture sector can address many challenges faced by the farmers such as disease detection, yield estimation, soil profile estimation, etc. In this paper, disease classification for the sugarcane plant and the experimentation involved thereby is thoroughly discussed. Experimental results include the performances of the well-known existing transfer learning techniques and proposed ensemble deep learning based architecture that incorporates stack ensemble of two networks with one having level-wise spatial attention helping to provide better generalization. A Self-created database of sugarcane leaf diseases is introduced to the research community through this paper. It involves 5 categories with a total of 2569 images. Here, it is observed that best performing transfer learning method, MobileNet-V2 shows an accuracy of around 84% with the lowest number of parameters whereas ensemble model reaching to 86.53% with less epochs and with acceptable number of parameters.
“FabDepth I: A Unique Dataset for Efficient Gesture Detection”
Rameez Shamalik, Sanjay Koli
International Journal of Information Technology Singapore, 2023
Flip Flops Design in Quantum Dot Cellular Automata Technology: Towards Digitization
Madhavi Repe, Sanjay Koli
International Journal on Recent and Innovation Trends in Computing and Communication, 2023
Quantum-Dot Cellular Automata (QCA) is a transistor-less technology. In QCA, Columbic repulsion between electrons in the quantum dots makes data transfer possible. This paper presents the design of flip flops using a proposed Rotated-Normal Cells with Displacement (RND) inverter and a cell interaction method. The SR latch, SR Flip Flop (FF), D FF, and T FF are developed using QCA. The proposed D FF gives total and average energy dissipation of 1.31e-002eV and 1.19e-003eV respectively. It also gives a delay of 1 clock phase. The Proposed T FF provides total and average energy dissipation of 2.40e-002eV and 2.18e-003eV respectively, depicting efficient D FF and T FF in energy dissipation. The proposed SR Flip flop design gives an efficient area. The FFs with the proposed RND inverter and cell interaction method can be the best choice for future Nano communication to construct Nano circuits with less energy dissipation and high speed.
Effective and efficient approach for gesture detection in video through monocular RGB frames
Rameez Shamalik, Sanjay Koli
Multimedia Tools and Applications, 2023
A Solution to VLSI: Digital Circuits Design in Quantum Dot Cellular Automata Technology
Madhavi Repe, Sanjay Koli
International Journal of Electrical and Electronics Research, 2023
Quantum Dot Cellular Automata is a Nano device efficient than other devices in nanotechnology for the last two decades. It is beneficial over Complementary Metal Oxide Semiconductor technology like high speed, low energy dissipation, high device density and high computation efficiency. To achieve further optimization different methods like simplifications in Boolean expressions, tile method, clocking scheme, cell placement, cell arrangement, novel input techniques, etc., are in use. These methods improve the performance metrics in terms of QCA Cells, total circuit area, delay in output, power consumption, and coplanar or multilayer layout. This paper is about the novel NOT gate layout designed with efficient parameters compared to existing NOT gates except area parameters with analysis and XOR gate and multiplexer circuits. The novel gate provides an improvement of 55% in the number of cells, polarization raised by 0.33, and an 80.77% improvement in total area. These circuits illustrate further scope in QCA circuit design efficiently. XOR circuit shows area reduction up to 0.006 μm2 with 0.5 clock cycle delay. Further optimization in XOR parameters and with this novel NOT gate researchers can optimize parameters to bring revolution and digitalization.
DeepHands: Dynamic hand gesture detection with depth estimation and 3D reconstruction from monocular RGB data
Rameez Shamalik, Sanjay Koli
Sadhana Academy Proceedings in Engineering Sciences, 2022
Design Methods in Nanotechnology Using Quantum Dot Cellular Automata (QCA)
Madhavi Repe, Sanjay Koli
2022 2nd International Conference on Intelligent Technologies Conit 2022, 2022
Efficient Use of Convolutional Neural Networks for Classification of Sugarcane Leaf Diseases
Swapnil Dadabhau Daphal, S. M. Koli
Lecture Notes in Electrical Engineering, 2022
Single Shot Detector for Multi-vehicle Detection and Tracking in Different Lighting and Weather Conditions
Shilpa Jahagirdar, Sanjay Koli
Lecture Notes in Electrical Engineering, 2022
Real Time Gesture Detection Using Convolutional Neural Network
Rameez Shamalik, Sanjay Koli
Proceedings of 4th International Conference on Cybernetics Cognition and Machine Learning Applications Icccmla 2022, 2022
Compact D Flip Flop in Quantum Dot Cellular Automata for Digital System
Madhavi Rajendra Repe, Sanjay Koli
2022 6th International Conference on Computing Communication Control and Automation Iccubea 2022, 2022
Transfer Learning approach to Sugarcane Foliar disease Classification with state-of-the-art Sugarcane Database
Swapnil Dadabhau Daphal, Sanjay M. Koli
2021 International Conference on Computational Intelligence and Computing Applications Iccica 2021, 2021
Person Re-Identification (Pre-id) in Blur, Low Light, Low Resolution Surveillance Videos: Object Detection and Characterization of Sequences
Manisha Talware, S. M. Koli
2021 International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2021, 2021
Real Time Human Gesture Recognition: Methods, Datasets and Strategies
Rameez Shamalik, Sanjay Koli
Advances in Parallel Computing, 2021
Transformation of Video Signal Processing Techniques from 2D to 3D: A Survey
Sanjay Koli, Rameez Shamalik
Lecture Notes in Electrical Engineering, 2020
Evaluation of Trends and Techniques of Flexible, Wearable and Waterproof Antenna for Wireless Communication: A Survey
Rameez Shamalik, Sanjay Koli
Lecture Notes in Electrical Engineering, 2020
Weather prediction using multiple iot based wireless sensors
, Heeralal Kumar Sah, Dr. S. M. Koli, and
International Journal of Engineering and Advanced Technology, 2019
Loss Differentiated Channel Aware Rate Adaptation for IEEE 802.11n Wireless Links
R. G. Purandare, S. P. Kshirsagar, S. M. Koli
Wireless Personal Communications, 2019
Adaptive framework for rate adaptation in 802.11n wireless link
R. G. Purandare, S. M. Koli, S. P. Kshirsagar
International Conference on Signal Processing Communication Power and Embedded System Scopes 2016 Proceedings, 2017
Enhancing the performance of Wireless Mesh Network (WMN) for video transmission in context with IEEE 802.11
S. T. Mankar, S. M. Koli
International Conference on Energy Systems and Applications Icesa 2015, 2016
Analysis of various parameters for link adaptation in wireless transmission
R. G. Purandare, S. P. Kshirsagar, S. M. Koli
Advances in Intelligent Systems and Computing, 2016
MAC-PHY layer optimization for digital video transmission in wireless network
Pooja Sangmeshwar Kalshetti, Sanjay Mahadev Koli
Proceedings 2014 IEEE International Conference on Advances in Communication and Computing Technologies Icacact 2014, 2015
QoS-Optimized Adaptive Multi-layer (OQAM) architecture of wireless network for high quality digital video transmission
S.M. Koli, R.G. Purandare, S.P. Kshirsagar, V.V. Gohokar
Journal of Visual Communication and Image Representation, 2015
A multi-layer architecture of wireless network for digital video transmission
Sanjay Mahadev Koli, Radhika Girish Purandare, Shirish Purushottam Kshirsagar, Vinaya Vijay Gohokar
2014 International Conference on Circuits Systems Communication and Information Technology Applications Cscita 2014, 2014
Improved compression performance of H.264/MPEG4-AVC for digital video using DVDP
S. M. Koli, R. G. Purandare, S. P. Kshirsagar, V. V. Gohokar, R. S. Kadam, S. S. Dusane, S. A. Kauthalkar
Wireless Personal Communications, 2014
End-to-end performance improvement of the wireless channel for video transmission
S. M. Koli, R. G. Purandare, S. P. Kshirsagar, V. V. Gohokar
Wireless Personal Communications, 2013
PHY layer considerations for real time multimedia signal transmission in wireless medium
S. M. Koli, R. G. Purandare, S. P. Kshirsagar, V. V. Gohokar
Lecture Notes in Electrical Engineering, 2013
Impact of bit error on video transmission over wireless networks and error resiliency
R. G. Purandare, S. P. Kshirsagar, S. M. Koli, V. V. Gohokar
Iciip 2011 Proceedings 2011 International Conference on Image Information Processing, 2011
A survey on video transmission using wireless technology
S. M. Koli, R. G. Purandare, S. P. Kshirsagar, V. V. Gohokar
Communications in Computer and Information Science, 2011

RECENT SCHOLAR PUBLICATIONS

Squaring Circuit Using 14nmFinFET Technology with Vedic Mathematics Approach
S Shetkar, S Koli
IETE Journal of Research 70 (10), 7980-7988 , 2024
2024
Citations: 1
Enhanced deep learning technique for sugarcane leaf disease classification and mobile application integration
SD Daphal, SM Koli
Heliyon 10 (8) , 2024
2024
Citations: 64
Optimized Vedic Multiplier Using 3nm Nanosheet Technology
SS Shetkar, S Koli
2024 International Conference on Emerging Smart Computing and Informatics … , 2024
2024
Citations: 1
Enhanced Classification of Sugarcane Diseases Through a Modified Learning Rate Policy in Deep Learning.
SD Daphal, SM Koli
Traitement du Signal 41 (1) , 2024
2024
Citations: 11
Novel energy efficient RND inverter using quantum dot cellular automata in nanotechnology
M Repe, S Koli
Scientific Reports 14 (1), 190 , 2024
2024
Citations: 7
Enhanced deep learning technique for sugarcane leaf disease classification and mobile application integration. Heliyon 10 (8): e29438
SD Daphal, SM Koli
2024
Citations: 12
Area, power efficient Vedic multiplier architecture using novel 4: 2 compressor
S Shetkar, S Koli
Sādhanā 48 (4), 216 , 2023
2023
Citations: 11
A Solution to VLSI: Digital Circuits Design in Quantum Dot Cellular Automata Technology
M Repe, S Koli
International Journal of Electrical and Electronics Research 11 (3), 696-704 , 2023
2023
Citations: 1
Enhancing sugarcane disease classification with ensemble deep learning: A comparative study with transfer learning techniques
SD Daphal, SM Koli
Heliyon 9 (8) , 2023
2023
Citations: 79
Flip Flops Design in Quantum Dot Cellular Automata Technology: Towards Digitization
M Repe
International Journal on Recent and Innovation Trends in Computing and … , 2023
2023
Citations: 2
FabDepth I: a unique dataset for efficient gesture detection
R Shamalik, S Koli
International Journal of Information Technology 15 (5), 2645-2649 , 2023
2023
Citations: 2
Effective and efficient approach for gesture detection in video through monocular RGB frames
R Shamalik, S Koli
Multimedia Tools and Applications 82 (11), 17231-17242 , 2023
2023
Citations: 2
Enhancing sugarcane disease classification with ensemble deep learning: a comparative study with transfer learning techniques. Heliyon 9 (8): e18261
SD Daphal, SM Koli
2023
Citations: 6
DeepHands: Dynamic hand gesture detection with depth estimation and 3D reconstruction from monocular RGB data
R Shamalik, S Koli
Sādhanā 47 (4), 247 , 2022
2022
Citations: 4
Real Time Gesture Detection Using Convolutional Neural Network
R Shamalik, S Koli
2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine … , 2022
2022
Compact D Flip Flop in Quantum Dot Cellular Automata for Digital System
MR Repe, S Koli
2022 6th International Conference On Computing, Communication, Control And … , 2022
2022
Design methods in nanotechnology using quantum dot cellular automata (QCA)
M Repe, S Koli
2022 2nd International Conference on Intelligent Technologies (CONIT), 1-5 , 2022
2022
Citations: 1
Single Shot Detector for Multi-vehicle Detection and Tracking in Different Lighting and Weather Conditions
S Jahagirdar, S Koli
ICCCE 2021: Proceedings of the 4th International Conference on … , 2022
2022
Citations: 2
Efficient use of convolutional neural networks for classification of sugarcane leaf diseases
SD Daphal, SM Koli
ICCCE 2021: Proceedings of the 4th International Conference on … , 2022
2022
Citations: 4
Sugarcane leaf disease dataset. mendeley data, v1
S Daphal, S Koli
2022
Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

Enhancing sugarcane disease classification with ensemble deep learning: A comparative study with transfer learning techniques
SD Daphal, SM Koli
Heliyon 9 (8) , 2023
2023
Citations: 79
Enhanced deep learning technique for sugarcane leaf disease classification and mobile application integration
SD Daphal, SM Koli
Heliyon 10 (8) , 2024
2024
Citations: 64
Sugarcane leaf disease dataset
S Daphal, S Koli
Mendeley Data 1 , 2022
2022
Citations: 25
Transfer Learning approach to Sugarcane Foliar disease Classification with state-of-the-art Sugarcane Database
SD Daphal, SM Koli
2021 International Conference on Computational Intelligence and Computing … , 2021
2021
Citations: 21
Enhanced deep learning technique for sugarcane leaf disease classification and mobile application integration. Heliyon 10 (8): e29438
SD Daphal, SM Koli
2024
Citations: 12
Analysis of various parameters for link adaptation in wireless transmission
RG Purandare, SP Kshirsagar, SM Koli
Innovations in Computer Science and Engineering: Proceedings of the Third … , 2016
2016
Citations: 12
Enhanced Classification of Sugarcane Diseases Through a Modified Learning Rate Policy in Deep Learning.
SD Daphal, SM Koli
Traitement du Signal 41 (1) , 2024
2024
Citations: 11
Area, power efficient Vedic multiplier architecture using novel 4: 2 compressor
S Shetkar, S Koli
Sādhanā 48 (4), 216 , 2023
2023
Citations: 11
Automatic Accident Detection Techniques using CCTV Surveillance Videos: Methods, Data Sets and Learning Strategies
S Jahagirdar, S Koli
International Journal of Engineering and Advanced Technology (IJEAT) 9 (3 … , 2020
2020
Citations: 10
Impact of bit error on video transmission over wireless networks and error resiliency
RG Purandare, SP Kshirsagar, SM Koli, VV Gohokar
2011 International Conference on Image Information Processing, 1-6 , 2011
2011
Citations: 9
Identification of Sugarcane Foliar Diseases: Methods and Datasets
SD Daphal, SM Koli
International Journal of Engineering and Advanced Technology (IJEAT) 9 (3 … , 2020
2020
Citations: 8
A survey on video transmission using wireless technology
SM Koli, RG Purandare, SP Kshirsagar, VV Gohokar
International Conference on Computer Science and Information Technology, 137-147 , 2011
2011
Citations: 8
Novel energy efficient RND inverter using quantum dot cellular automata in nanotechnology
M Repe, S Koli
Scientific Reports 14 (1), 190 , 2024
2024
Citations: 7
Enhancing sugarcane disease classification with ensemble deep learning: a comparative study with transfer learning techniques. Heliyon 9 (8): e18261
SD Daphal, SM Koli
2023
Citations: 6
Loss differentiated channel aware rate adaptation for IEEE 802.11 n wireless links
RG Purandare, SP Kshirsagar, SM Koli
Wireless Personal Communications 107 (4), 2211-2230 , 2019
2019
Citations: 6
Weather Prediction using Multiple IoT Based Wireless Sensors
S Heeralal, Kumar, K S, M
Acta Technica Corviniensis-Bulletin of Engineering, Romania 12 (4), 123-127 , 2019
2019
Citations: 6
Raspberry pi based reader for blind
MS Jadhav, MSM Koli, MSS Kulkarni, MSMSS Akhtar, MHD Ingle
Int. J. Innov. Emerg. Res. Eng 5 (1), 1639-1642 , 2018
2018
Citations: 6
Sugarcane leaf disease dataset. mendeley data, v1
S Daphal, S Koli
2022
Citations: 5
Real time human gesture recognition: methods, datasets and strategies
R Shamalik, S Koli
Recent trends in intensive computing, 251-255 , 2021
2021
Citations: 5
Transformation of video signal processing techniques from 2D to 3D: a survey
S Koli, R Shamalik
ICCCE 2019: Proceedings of the 2nd International Conference on … , 2019
2019
Citations: 5

Sanjay Mahadev Koli

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Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS