Ambaji S Jadhav

@vtu.ac.in

Assistant Professor Electrical and Electronics
BLDEAs V.P.Dr.P.G.Halakatti college of engineering and technology Vijayapur

Ambaji S Jadhav


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https://researchid.co/asjadhav
26

Scopus Publications

404

Scholar Citations

10

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Optimized Deep Learning Model for Pomegranate Disease Detection: A Convolutional Neural Network Long Short-Term Memory Approach
    P. Sahebgouda, S. Maradithaya, Ashwin Jadhav
    International Journal of Engineering Transactions B Applications, 2026
    Pomegranate is a high-value fruit globally recognized for its nutritional benefits and applications in traditional medicine and cosmetics. India is a key player in the global pomegranate market, but the industry faces challenges such as diseases that affect crop productivity and economic losses for farmers. This study proposes a novel approach to pomegranate disease detection using a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model. The proposed model leverages CNNs for effective feature extraction and LSTMs for sequential data handling, achieving superior performance compared to traditional methods and other deep learning techniques. Experimental results demonstrate high accuracy, recall, precision, and F1 score. The Proposed model achieved an accuracy of 98.53% and loss of 0.0677. The study also explores the limitations of transfer learning approaches such as VGG16 and ResNet50, and larger models like AlexNet, which did not perform well in this context. The findings suggest that the hybrid CNN-LSTM model offers a scalable and adaptable solution for agricultural disease detection, with potential applications for various crops.
  • Atrous Convolution-Based Adaptive 3D-CNN Model for Breast Cancer Diagnosis Using Segmentation in Mammogram Images
    Rashmi V Pawar, Rajashekhargouda C. Patil, Rajeshwari S. Patil, Ambaji S. Jadhav
    Operations Research Forum, 2025
  • Development of TransUNet-based Segmentation and Residual Attention Network-Derived Lung Cancer Detection
    Kalyani Kale, Ambaji Jadhav, Rajeshwari Patil, Rashmi Pawar
    Proceedings of 5th International Conference on Soft Computing for Security Applications Icscsa 2025, 2025
    Lung Cancer (LC) is determined as the most common cause of death in recent times all over the world. The only way to decrease the mortality count has been made possible only through earlier detection to save the lives of people. It may affect both men and women. There is much machine learning and Deep learning used to detect cancer in the earlier stage. In this case, image processing has been utilized all over the world, especially in various medical regions for image enhancement in the treatment phase as well as an earlier detection technique. Here, the time factor has played a crucial role in discovering the abnormality problems on the target images. Then, it is particularly used on different cancer tumors like LC. In this paper, the LC detection technique using segmentation is introduced. In the beginning phase, the images related to the cancer detection processes have been congregated from the dataset. Then, the congregated images are fed into the pre-processing phase, which takes a essential part in pre-processing the relevant images to be useful for further phases, where the Contrast Limiting Adaptive Histogram Equalization (CLAHE), histogram equalization, median filtering techniques for attaining the pre-processed images. Further, it has been given to the segmentation phase, where the TransUnet techniques to utilized to segment the images in a proper manner. Then, it has been given to the final phase known as classification is used to classify the patients whether it is normal or abnormal. Further, the classification phase used the Residual Attention Network (RAN) technique. In the end, the recommended LC detection model using segmentation is developed and thus shows better outcomes.
  • An Intellectual Adaptive and Attention-Based Dense Network for Lung Cancer Detection Using Trans-Inception U-net++-aided Abnormality Segmentation
    Kalyani Ashok Kale, Rajeshwari Patil, Ambaji S. Jadhav, Rashmi Pawar
    Biomedical Materials and Devices, 2025
  • Solar Powered Smart Agriculture System and Protection of Crops using Smart Fencing System
    Hamjadali A Umachagi, Saniya M Patel, Basanagouda F. Ronad, Pavankumar Kulkarni, Ambaji Jadhav, Amit Karane
    Proceedings of 5th International Conference on Soft Computing for Security Applications Icscsa 2025, 2025
    Agriculture nowadays needs smarter, more sustainable methods to meet the rising demand for food while addressing environmental challenges. This work presents a solar-powered smart agriculture system that combines renewable energy with IoT-based automation to improve efficiency and sustainability in agricultural practices. Power-driven completely by solar energy, the system delivers an environmental and low-cost solution, mainly appreciated in off-grid or remote areas. Real-time monitoring of temperature, soil moisture, and other environmental conditions is done using IoT sensors. A microcontroller processes this data to automate irrigation and fertigation, ensuring accurate and effective use of water and nutrients. The system also comprises smart electrical fencing, which boosts crop safekeeping by preventing animals and intruders without the need for continuous human supervision. Agriculturalists can monitor and control the complete system remotely by using mobile application, making farm management more manageable and responsive. This combined method supports climate-smart agriculture, increases productivity, saves resources, and improves farm security all while decreasing dependance on conventional energy sources.
  • Detection and Classification of Various Listening Environments For Hearing-Impaired Individuals Using CRNN
    Sunilkumar M. Hattaraki, Shankarayya G. Kambalimath, Bhootaleppa P. Savukar, Shwetha Bagali, U. D. Dixit, A.S. Jadhav
    2024 International Conference on Innovation and Novelty in Engineering and Technology Innova 2024 Proceedings, 2024
    This article describes a convolutional recurrent neural network (CRNN) model designed to improve the categorization of various listening situations for people with hearing impairments. As the demand for sophisticated audio analysis in smart city initiatives and supporting technologies grows, this CRNN model effectively combines Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) to extract Mel Frequency Cepstral Coefficients (MFCCs) and capture temporal relationships in audio data. This collaboration takes advantage of CNN s' skills in spotting spatial patterns and LSTMs' capabilities in handling with sequential information. The model executed admirably, with a training accuracy of 99.97% and a testing accuracy of 95.84%, suggesting strong generalization abilities across a variety of listening scenarios. This research highlights the effectiveness of CRNN in classifying complex audio data and suggests possible improvements including expanding the dataset, using advanced data augmentation techniques, and optimizing the model architecture. These strategies aim to overcome challenges in classifying complicated or overlapping listening situations.
  • Brain Tumor Detection using MRI Image Processing Techniques
    Ambaji. S. Jadhav, Rashmi Pawar, Sunilkumar. M. Hattaraki, Shwetha Bagali, Rajeshwari S. Patil, Bhagyashree Patil
    2024 International Conference on Innovation and Novelty in Engineering and Technology Innova 2024 Proceedings, 2024
    Medical image processing is highly developed and critical in the medical field, encompassing methods like X-rays, MRI, and CT scans. These techniques help to identify minute defects in the human body. Brain tumors, which disrupt normal brain function, are detected through MRI using segmentation, feature extraction, and classification, processes that are time-consuming and depend on the expertise of clinical professionals. Computer-aided technology addresses these challenges. This work aims to diagnose brain tumors accurately and quickly using MRI images. Image pre-processing is done using CLAHE and median filter to enhance contrast and eliminate noise. Thresholding is used for segmentation and a lightweight U-net is used for tumor segmentation, achieving high accuracy and efficiency without extensive training data. Finally, an MSD-CNN classifies the tumor, capturing both local and global features for better image recognition. Our proposed model outperforms over existing methods in terms of accuracy, robustness, and efficiency in brain tumor detection.
  • Wireless Patient Health Monitoring System using Internet of Things and Mobile device
    Jayalaxmi S. Gonal, Malini M Patil, Ambaji S Jadhav, Rashmi V Pawar
    Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy Icais 2023, 2023
    In this current decade, the healthcare monitoring systems are gaining more importance among researchers. The major objective is to develop a robust patient monitoring system so that the health experts can track the patients’ health status, admitted in the hospitals or patients discharged but needs follow up of the doctors. This research work presents a wireless healthcare monitoring system using mobile device which delivers online data in real time about a patients’ physiological status. This proposed project is developed to monitor and quantify patients’ crucial physiological data precisely. Also, the proposed system transmits a message to alarm the serious health condition of the patient via text or email messages. Further these provide necessary medical guidelines to the healthcare professionals. The important constituents of the proposed system are data acquisition unit, sensors, Arduino (microcontroller), and software. The proposed system monitors, displays, and stores the patient’s ECG data, heart beat rate, muscles, temperature, blood glucose level and blood pressure. The results of the developed system illustrate that the physiological data of the patients are measured with high accuracy.
  • Diagnosis of Mammographic Images for Breast Cancer Detection using FF-CSO Algorithm
    Rashmi V Pawar, Santosh Saraf, Umesh Dixit, Ambaji S Jadhav
    Proceedings of the Accthpa 2023 Conference on Advanced Computing and Communication Technologies for High Performance Applications, 2023
    Many diseases in the human being are can be detected through different imaging technology. The mammography is one of the imaging technique through which breast cancer cells can be identified. The mammographic breast image is preprocessed for eradicating the pectoral muscle in the breast cancer identification that contains a mammogram for encircling the process of detection. The cancer tissues having higher pixel intensities can be detected easier than the remaining breast region. It is difficult to classify the breast tumor tissues into malignant and benign ones. The mammographic breast image is generally pre-processed to eliminate pectoral muscle for the optimal diagnosis. Further, the active contour based segmentation is done to separate out the cancer region from entire mammographic image acquired by special technique. Segmenting accurate region of cancer will help in classification so segmentation stage has its own importance. Two different optimization algorithms are merged to improve optimization accuracy. The algorithms considered are Firefly and chicken swarm optimization (FF-CSO) is used optimize feature set and optimize error function of DBN. Once segmentation is performed on the image, the next process is to extract features from that segmented region to collect useful information for distinguishing the cases. In this we extracted LBP features from the segmented images. The deep learning architectures is for classification.
  • Design and Analysis of PMDC Motor for Electric Vehicles
    Vishwanath Chalawadi, Sanjeeth P. Amminabhavi, Ambaji S. Jadhav, Rashmi Pawar, Minaxi S. Kanamadi, Rajeshwari S Patil
    Proceedings of the Accthpa 2023 Conference on Advanced Computing and Communication Technologies for High Performance Applications, 2023
    Increase in the number of vehicles around world is leading to increase in the consumption of fuel and rising in the cost of fuel. The world is taking step towards the methods which are alternate source for fuel. Most important is battery based electric vehicles and also cell based electric vehicles (EV). In this work we discussed about the design of electric vehicle, vehicle fabrication condition, force calculation for the electric vehicle, selection of motor for the EV application, designing the motor to get the rating of the motor. The methodology is simulated in matlab and later it is designed in hardware model. The design values provide good results as compared state of art.
  • Deep Belief Network based Diabetic Maculopathy Detection and Classification using Modified Chicken Swarm Algorithm
    Shweta Reddy, Shridevi Soma, Ambaji Jadhav, Rashmi Pawar, Govind Madabhavi, Rajeshwari S Patil
    2023 International Conference on Computational Intelligence Communication Technology and Networking Cictn 2023, 2023
  • Fuzzy Logic Control based Improved Congestion Management for Phase Shifting Transformer
    Ambaji S Jadhav, Rashmi V Pawar, Shweta Reddy, Sanaparveen A Devadi, Rajeshwari S Patil, Vinoda Patil
    2023 Global Conference on Information Technologies and Communications Gcitc 2023, 2023
  • Optimization of Power System Transients in a Multi-Machine System using Unified Power Flow Controller
    Vinoda Patil, Ambaji S. Jadhav, C Nandakumara, Rashmi V. Pawar, Vinuta Koluragi, Shweta Gadad
    Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems Icears 2023, 2023
  • Automatic Headlight Intensity Control using Light Dependent Resistor
    Ambaji S. Jadhav, Vikram Joshi, Rashmi V. Pawar
    Journal of Physics Conference Series, 2022
  • Algorithmic Analysis on MGSR Optimization for Diagnosing Diabetic Retinopathy
    Ambaji S. Jadhav, Rashmi V Pawar, Pushpa B. Patil, Rajeshwari S Patil
    2022 International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2022, 2022
  • A Study on Various Segmentation Approaches using Echocardiogram images for promoting Heart Disease Detection
    Chamundeshwari, Nagashettappa Biradar, Ambaji S Jadhav, Udaykumar, Hamjad Ali Umachagi
    2022 International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2022, 2022
  • Optimal feature selection-based diabetic retinopathy detection using improved rider optimization algorithm enabled with deep learning
    Ambaji S. Jadhav, Pushpa B. Patil, Sunil Biradar
    Evolutionary Intelligence, 2021
  • Segmentation and Classification of Retina Images using SVD Features
    Ambaji S. Jadhav, Rashmi V. Pawar, Pushpa B. Patil
    2021 5th International Conference on Electrical Electronics Communication Computer Technologies and Optimization Techniques Iceeccot 2021 Proceedings, 2021
  • Computer-aided diabetic retinopathy diagnostic model using optimal thresholding merged with neural network
    Ambaji S. Jadhav, Pushpa B. Patil, Sunil Biradar
    International Journal of Intelligent Computing and Cybernetics, 2020
  • Analysis on diagnosing diabetic retinopathy by segmenting blood vessels, optic disc and retinal abnormalities
    Ambaji S. Jadhav, Pushpa B. Patil, Sunil Biradar
    Journal of Medical Engineering and Technology, 2020
  • Segmentation and classification of retina images using wavelet transform and distance measures
    Ambaji S. Jadhav, Pushpa B. Patil
    Advances in Biometrics Modern Methods and Implementation Strategies, 2019
  • Preprocessing and Segmentation of Retina Images for Blood Vessel Extraction
    Ambaji S. Jadhav, Pushpa B. Patil
    Communications in Computer and Information Science, 2019
  • Detection of blood vessels in retinal images for diagnosis of diabetics
    Ambaji S. Jadhav, Pushpa B. Patil
    Proceedings of the 2nd International Conference on Inventive Systems and Control Icisc 2018, 2018
  • Detection of exudates for diabetic retinopathy using wavelet transform
    Ambaji S. Jadhav, Pushpa B. Patil
    IEEE International Conference on Power Control Signals and Instrumentation Engineering Icpcsi 2017, 2018
  • Pomogranite disease detection and classification
    Rashmi Pawar, Ambaji Jadhav
    IEEE International Conference on Power Control Signals and Instrumentation Engineering Icpcsi 2017, 2018
  • Detection of optic disc from retinal images using wavelet transform
    A. S. Jadhav, Pushpa B. Patil
    International Conference on Signal Processing Communication Power and Embedded System Scopes 2016 Proceedings, 2017

RECENT SCHOLAR PUBLICATIONS

  • An Intellectual Adaptive and Attention-Based Dense Network for Lung Cancer Detection Using Trans-Inception U-net++-aided Abnormality Segmentation
    KA Kale, R Patil, AS Jadhav, R Pawar
    Biomedical Materials & Devices, 1-25 , 2025
    2025
  • Solar Powered Smart Agriculture System and Protection of Crops using Smart Fencing System
    HA Umachagi, SM Patel, BF Ronad, P Kulkarni, A Jadhav, A Karane
    2025 5th International Conference on Soft Computing for Security … , 2025
    2025
  • Development of TransUNet-based Segmentation and Residual Attention Network-Derived Lung Cancer Detection
    K Kale, A Jadhav, R Patil, R Pawar
    2025 5th International Conference on Soft Computing for Security … , 2025
    2025
  • Atrous Convolution-based Adaptive 3D-CNN Model for Breast Cancer Diagnosis using Segmentation in Mammogram Images
    AJ Rashmi Pawar, Rajashekhargouda Patil, Rajeshwari Patil
    Operations Research Forum 6, 1-45 , 2025
    2025
    Citations: 2
  • Perioperative Haemostasis With Extended Half-Life Recombinant Factors in Haemophilia: A Report from Tertiary Centre of India
    AS Jadhav, VA Bafna, VS Patil, AA Paritekar, SM Kumbhojkar
    HAEMOPHILIA 31, 136-137 , 2025
    2025
  • Detection and Classification of Various Listening Environments for Hearing-Impaired Individuals Using CRNN
    SM Hattaraki, SG Kambalimath, BP Savukar, S Bagali, UD Dixit, ...
    2024 International Conference on Innovation and Novelty in Engineering and … , 2024
    2024
    Citations: 2
  • Brain Tumor Detection Using MRI Image Processing Techniques
    AS Jadhav, R Pawar, SM Hattaraki, S Bagali, RS Patil, B Patil
    2024 International Conference on Innovation and Novelty in Engineering and … , 2024
    2024
    Citations: 6
  • Novelty in Engineering and Technology (INNOVA)
    S Rao, M Bhat, PG Anchan, N Shetty, LM Rodrigues, AS Jadhav, R Pawar, ...
    Brain 2, 22 , 2024
    2024
  • Analysis of Breast Cancer using IGSR Optimization Algorithm on Mammographic Images
    AJ Rashmi Pawar,Rajshekhargouda Patil
    Computer Research and Development 24 (12), 179-184 , 2024
    2024
  • Fuzzy Logic Control based Improved Congestion Management for Phase Shifting Transformer
    AS Jadhav, RV Pawar, S Reddy, SA Devadi, RS Patil, V Patil
    2023 Global Conference on Information Technologies and Communications (GCITC … , 2023
    2023
  • Genetic Variability Studies in F2 Population of the Wheat Cross DDK-1029 x GPM DIC 66
    R Kumar, SS Biradar, SS Malipatil, A Jadhav, B Patil
    International Journal of Environment and Climate Change 13 (11), 3021-3026 , 2023
    2023
  • Deep belief network based diabetic maculopathy detection and classification using modified chicken swarm algorithm
    S Reddy, S Soma, A Jadhav, R Pawar, G Madabhavi, RS Patil
    2023 International Conference on Computational Intelligence, Communication … , 2023
    2023
    Citations: 5
  • Optimization of power system transients in a multi-machine system using unified power flow controller
    V Patil, AS Jadhav, C Nandakumara, RV Pawar, V Koluragi, S Gadad
    2023 Second International Conference on Electronics and Renewable Systems … , 2023
    2023
    Citations: 1
  • Wireless Patient Health Monitoring System using Internet of Things and Mobile device
    JS Gonal, MM Patil, AS Jadhav, RV Pawar
    2023 Third International Conference on Artificial Intelligence and Smart … , 2023
    2023
    Citations: 3
  • ​ Performance of Garlic Genotypes under Sub montane Zone of Maharashtra
    AS Jadhav, VK Garande, RD Pawar, PN Sonawane
    Indian Journal of Agricultural Research 57 (1), 79-83 , 2023
    2023
  • Design and Analysis of PMDC Motor for Electric Vehicles
    V Chalawadi, SP Amminabhavi, AS Jadhav, R Pawar, MS Kanamadi, ...
    2023 Advanced Computing and Communication Technologies for High Performance … , 2023
    2023
    Citations: 3
  • Diagnosis of Mammographic Images for Breast Cancer Detection using FF-CSO Algorithm
    RV Pawar, S Saraf, U Dixit, AS Jadhav
    2023 Advanced Computing and Communication Technologies for High Performance … , 2023
    2023
    Citations: 5
  • Algorithmic Analysis on MGSR Optimization for Diagnosing Diabetic Retinopathy
    AS Jadhav, RV Pawar, PB Patil, RS Patil
    2022 International Conference on Smart Generation Computing, Communication … , 2022
    2022
  • A Study on Various Segmentation Approaches using Echocardiogram images for promoting Heart Disease Detection
    N Biradar, AS Jadhav, HA Umachagi
    2022 International Conference on Smart Generation Computing, Communication … , 2022
    2022
  • Automatic headlight intensity control using light dependent resistor
    AS Jadhav, V Joshi, RV Pawar
    Journal of Physics: Conference Series 2325 (1), 012001 , 2022
    2022
    Citations: 11

MOST CITED SCHOLAR PUBLICATIONS

  • Optimal feature selection-based diabetic retinopathy detection using improved rider optimization algorithm enabled with deep learning
    AS Jadhav, PB Patil, S Biradar
    Evolutionary intelligence 14 (4), 1431-1448 , 2021
    2021
    Citations: 110
  • Pomogranite disease detection and classification
    R Pawar, A Jadhav
    2017 IEEE International Conference on Power, Control, Signals and … , 2017
    2017
    Citations: 47
  • Analysis on diagnosing diabetic retinopathy by segmenting blood vessels, optic disc and retinal abnormalities
    AS Jadhav, PB Patil, S Biradar
    Journal of Medical Engineering & Technology 44 (6), 299-316 , 2020
    2020
    Citations: 18
  • Classification of diabetes retina images using blood vessel area
    AS Jadhav, PB Patil
    International Journal on Cybernetics & Informatics (IJCI) Vol 4 , 2015
    2015
    Citations: 18
  • Karyomorphology of three varieties of Vitis vinifera.
    VP Patil, AS Jadhav
    Cytologia 50 (1), 83-88 , 1985
    1985
    Citations: 15
  • Effects of nitrogen and Rhizobium on composition of French bean.
    PK Bagal, AS Jadhav
    1995
    Citations: 14
  • Productivity and economics of legumes - winter sorghum ( Sorghum bicolor ) double cropping systems under tillage practices in western Maharashtra.
    SM Jawale, AS Jadhav, VG Patil
    1998
    Citations: 13
  • Effects of nitrogen and Rhizobium on yield and nutrient uptake by French bean.
    PK Bagal, AS Jadhav
    1995
    Citations: 12
  • Automatic headlight intensity control using light dependent resistor
    AS Jadhav, V Joshi, RV Pawar
    Journal of Physics: Conference Series 2325 (1), 012001 , 2022
    2022
    Citations: 11
  • Detection of exudates for diabetic retinopathy using wavelet transform
    AS Jadhav, PB Patil
    2017 IEEE International Conference on Power, Control, Signals and … , 2017
    2017
    Citations: 11
  • Computer-aided diabetic retinopathy diagnostic model using optimal thresholding merged with neural network
    AS Jadhav, PB Patil, S Biradar
    International Journal of Intelligent Computing and Cybernetics 13 (3), 283-310 , 2020
    2020
    Citations: 10
  • Detection of Blood vessels in Retinal images for diagnosis of Diabetics
    PBP Ambaji Jadhav
    International Conference on Inventive Systems and Control (ICISC2018) , 2018
    2018
    Citations: 10
  • Detection of optic disc from retinal images using wavelet transform
    AS Jadhav, PB Patil
    2016 international conference on signal processing, communication, power and … , 2016
    2016
    Citations: 10
  • Hi-tech floriculture and vegetable project
    AS Jadhav, MT Patil, PV Patil
    International symposium on protected cultivation of vegetables in mild … , 2002
    2002
    Citations: 10
  • Energy utilization in wheat based cropping systems.
    AS Jadhav
    1990
    Citations: 9
  • Chromosome numbers in the family Vitaceae.
    VP Patil, MS Kumbhojkar, AS Jadhav
    1981
    Citations: 9
  • Nutrient balance in legume-sorghum ( Sorghum bicolor ) cropping sequence.
    KP Pawar, AS Jadhav
    1995
    Citations: 8
  • Effects of fertilizers and plant densities on the yield of gram.
    RN Thakur, AS Jadhav
    1990
    Citations: 8
  • A survey on blood vessel segmentation and optic disc segmentation of retinal images
    S Biradar, AS Jadhav
    Int. J. Adv. Res. Comput. Commun. Eng 4 (5), 21-26 , 2015
    2015
    Citations: 7
  • Brain Tumor Detection Using MRI Image Processing Techniques
    AS Jadhav, R Pawar, SM Hattaraki, S Bagali, RS Patil, B Patil
    2024 International Conference on Innovation and Novelty in Engineering and … , 2024
    2024
    Citations: 6