Dr. SANJEEVKUMAR ANGADI

Scopus Publications

Artificial protozoa lotus effect algorithm enabled cognitive brain optimal model for sentiment analysis utilizing multimodal data
Sanjeevkumar Angadi, Saili Hemant Sable, Tejaswini Zope, Rajani Amol Hemade, Vaibhavi Umesh Avachat
Computer Speech and Language, 2026
A Survey of Medical Chatbots: Predicting Diseases Through Image Recognition and Textual Symptom Analysis
Akshata Chavan, Parth Patil, Ayush Patil, Snehal Kotkar, Sanjeev Kumar Angadi
Aip Conference Proceedings, 2026
Hierarchical Attention Fuzzy Random Multimodal Network–Based English–Hindi Question Answering System
Deepti Chaudhari, Rahul Shrivastava, Sanjeevkumar Angadi
Computational Intelligence, 2026
Question answering system (QAS) is a natural language processing (NLP) task, which is highly significant for searching for helpful information on massive documents or websites. Recently, there has been a quick development of the multilingual content on the web, and this has posed diverse challenges to conventional QASs. In this research, Hierarchical Attention Fuzzy Random Multimodel Network (HAFRMN) is introduced for English–Hindi QAS. Here, two phases, namely training as well as testing, are conducted. During training, a considered set of questions and passages is fed to the Bidirectional Encoder Representations from Transformers (BERT) model. Then, features such as Term Frequency‐Inverse Document Frequency (TF‐IDF) and n‐gram features are extracted from passage tokens and question tokens. On the other hand, answers are passed to the BERT model to obtain tokens. Thus, the target from tokens is acquired, which is given to HAFRMN along with question tokens, passage tokens and feature vectors from the question as well as passage tokens to accomplish the training process. However, HAFRMN is designed by an incorporation of Hierarchical Attention Network (HAN) with Random Multimodel Deep Learning (RMDL) and fuzzy concept. During testing, passages and questions are subjected to the BERT model. From the obtained passage and question tokens, features are extracted. Finally, passage tokens, question tokens, along with extracted features and outcome from the trained model, are fed to HAFRMN to obtain the exact answer. In addition, HAFRMN achieved a maximal exact match of 0.904, 91.6% of precision, 90.9% of recall, and 90.6% of f ‐measure.
SpinalCNN: spinal convolutional neural network based kidney cancer detection
Shital Gujarathi-Mehta, Rahul Shrivastava, Sanjeevkumar Angadi
Biomedical Signal Processing and Control, 2026
Classification of animal species using efficient neuron attention stage-by-stage network
Lingaraj A. Hadimani, Manjunath R. Hudagi, Sachin Urabinahatti, Sanjeevkumar Angadi, Basavaraj A. Patil
Engineering Applications of Artificial Intelligence, 2025
Hybrid deep learning system for crop disease classification using modified SegNet segmentation
Mukesh Kumar Tripathi, D.N. Vasundhara, V.K.N.S.N. Moorthy Ch, Kapil Misal, Bhagyashree Ashok Tingare, Sanjeevkumar Angadi
Computers and Electrical Engineering, 2025
In traditional agricultural systems, managing crop diseases faces significant challenges, primarily due to the reliance on visual inspection and manual symptom identification. These methods are often time-consuming, error-prone, and may fail to detect diseases early or accurately, leading to ineffective treatments and substantial crop loss. Furthermore, the unpredictability of disease symptoms and the existence of similar-looking diseases complicate diagnosis. To address these limitations, there is a growing necessity for innovative deep learning-based methods. This study proposes an advanced Modified LinkNet-Bidirectional Long Short-Term Memory (MLBLSTM)-based system for crop disease classification, incorporating a multi-step process starting with data collection from three datasets: apple, corn, and pepper plant leaves. The preprocessing phase utilizes Enhanced Wiener Filtering (EWF) to preserve high-frequency details and enhance image quality. The filtered images are processed through an advanced Modified SegNet (MSegNet) model to do the segmentation process. Feature extraction follows, leveraging Hierarchy of Skeleton (HOS), Modified Local Gabor Increasing Pattern (MLGIP), Median Binary Pattern (MBP), and statistical features. Finally, the classification step employs a hybrid model combining Modified LinkNet (MLNet) with a novel σ-SE block and Bidirectional Long Short-Term Memory (Bi-LSTM) classifiers. The validation results prove the performance of MLBLSTM model measures with an accuracy of 0.947, a sensitivity of 0.955, and a specificity of 0.936.
QFMNet: Quantum fusion maxout network for brain activity detection using motor imagery of EEG signals
Seema Pankaj Mahalungkar, Rahul Shrivastava, Sanjeevkumar Angadi
Intelligent Decision Technologies, 2025
Motor Imagery (MI) based processes are most commonly used in Brain-Computer Interfaces (BCIs) and these systems are commonly applied in the military, medicine, rehabilitation, and so on. A large number of works have been provided in the past using Electroencephalograms (EEG), however, the presence of artifacts and correlation among the signals limits their performance. This work aims to design an effective brain activity detection model using a hybrid Deep Learning (DL)-based model called Quantum Fusion Maxout Network (QFMNet) for accurately detecting the brain activity of individuals using MI based on EEG signals. Here, initially, the input EEG signal obtained from the dataset is given to the preprocessing stage, where noise is removed from the input signal using a Gaussian filter. Then, the preprocessed signal is subjected to a feature extraction process, and subsequently, data augmentation is done. Finally, brain activity detection is performed using the proposed QFMNet, where the proposed QFMNet is developed using Deep Quantum Neural Network (DQNN) and Deep Maxout Network (DMN). The QFMNet is observed to have higher values of specificity of 93.8%, accuracy of 93.0%, and sensitivity of 94.8%, by considering the k-group as 9.
Hybrid deep learning framework for enhanced target tracking in video surveillance using CNN and DRNN-GWO
Thupakula Bhaskar, K. Sathish, D. Rosy Salomi Victoria, Er.Tatiraju. V. Rajani Kanth, Uma Patil, Naveen Mukkapati, Sanjeevkumar Angadi, P Karthikeyan, Vidhya R G
International Journal of Basic and Applied Sciences, 2025
The growing demand for advanced security solutions has driven significant progress in video surveillance technologies in recent ‎years. A critical component of modern surveillance systems is the ability to accurately track and monitor targets in dynamic ‎environments. In this paper, we present a computer vision-based target-tracking system designed to enhance the efficiency of video ‎surveillance operations. The proposed approach employs hybrid deep learning algorithms for the detection and tracking of targets ‎within video frames. Initially, recorded video footage from surveillance cameras is input into the system, where each frame ‎undergoes preprocessing to enhance quality. A Convolutional Neural Network (CNN) is then utilized to extract spatial features from ‎the preprocessed frames, enabling the precise identification and localization of objects. The CNN also detects regions of interest and ‎labels identified objects (e.g., persons, vehicles). We introduce a novel algorithm that combines the strengths of Deep Recurrent ‎Neural Networks (DRNN) and Grey Wolf Optimization (GWO), referred to as DRNN-GWO. The DRNN module captures spatial ‎and temporal dependencies within the frames to predict the future positions of tracked objects, while the GWO algorithm optimizes ‎the hyperparameters of the DRNN to further enhance tracking performance. The proposed framework was implemented in Python. ‎Experimental results demonstrated outstanding performance, achieving a target tracking accuracy of 99.12%, a recall of 98.75%, a ‎precision of 99.27%, and an F-measure of 99%‎.
Enhanced satellite imagery analysis for post-disaster building damage assessment using integrated ResNet-U-Net model
Diwakar Bhardwaj, N. Nagabhooshanam, Ajeet Singh, B. Selvalakshmi, Sanjeevkumar Angadi, S. Shargunam, Tapas Guha, Gurkirpal Singh, A. Rajaram
Multimedia Tools and Applications, 2025
Ensemble strategies exploration for the calibration data optimized spatial filters based SSVEP recognition algorithms
Tian-jian Luo, Sanjeevkumar Angadi, Mohamed A. Elashiri
Biomedical Signal Processing and Control, 2025
FKFFNet: Fractal Kronecker Forward Fractional Net for Severity Detection of Tuberculosis Using Sputum Image
Sanjeevkumar Angadi, Saili Hemant Sable, Shital Bhushan Mehta, Rajani Amol Hemade, Vaibhavi Umesh Avachat
Biomedical Materials and Devices, 2025
Preventing SQL Injection Attacks with Machine Learning: A TF-IDF + XGBoost Approach
Sairabanu S. Pansare, Prerana Sunil Nimbalkar, Prerna Pradeen Mhaske, Samidha Prakash Kadam, Gaurav Pravin Patil, Sanjeevkumar Angadi
2025 2nd International Conference on Computing and Data Science Iccds 2025, 2025
HARNet in deep learning approach—a systematic survey
Neelam Sanjeev Kumar, G. Deepika, V. Goutham, B. Buvaneswari, R. Vijaya Kumar Reddy, Sanjeevkumar Angadi, C. Dhanamjayulu, Ravikumar Chinthaginjala, Faruq Mohammad, Baseem Khan
Scientific Reports, 2024
An NFMF-DBiLSTM model for human anomaly detection system in surveillance videos
Sanjeevkumar Angadi, Chellapilla V. K. N. S. N. Moorthy, Mukesh Kumar Tripathi, Bhagyashree Ashok Tingare, Sandeep Uddhavrao Kadam, Kapil Misal
Indonesian Journal of Electrical Engineering and Computer Science, 2024
Identification of soluble solid content and total acid content using real-time visual inspection system
C. H. V. K. N. S. N. Moorthy, Mukesh Kumar Tripathi, Manjunath R. Hudagi, Lingaraj A. Hadimani, Gayatri Sanjay Chavan, Sanjeevkumar Angadi
Indonesian Journal of Electrical Engineering and Computer Science, 2024
Detecting Intruder and Black Hole Attackers in Mobile Adhoc Network
Hemalatha S, Maddala Janakidevi, Pullela SVVSR Kumar, Arunkumar M.S, Sanjeevkumar Angadi, Muruganantham T, Hamsalekha R, Vijay Muni T
Ssrg International Journal of Electronics and Communication Engineering, 2024
Mathematical Modelling and Implementation of NLP for Prediction of Election Results based on social media Twitter Engagement and Polls
International Journal of Intelligent Systems and Applications in Engineering, 2024
A brief survey on human activity recognition using motor imagery of EEG signals
Seema Pankaj Mahalungkar, Rahul Shrivastava, Sanjeevkumar Angadi
Electromagnetic Biology and Medicine, 2024
Facial Expression Recognition in ATM Surveillance System
Saili Sable, Sanjeevkumar Angadi, Ashwini Shinde, Shital Mehta, Uma Patil
Lecture Notes in Networks and Systems, 2024
Empirical Analysis of Developing EC Based Algorithms for Various WSN Network Applications
Saloni Bansal, R. Venkateswara Reddy, Saurabh Aggarwal, Myasar Mundher Adnan, Devender Kumar, Sanjeevkumar Angadi
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
Retraction Notice: An Intensive Review on Propagative Antagonistic N/W which is used in Health Care System (2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024 DOI: 10.1109/ICACITE60783.2024.10617321)
Arti Badhoutiya, Borra Sivaiah, Muntather Almusawi, Rajan Verma, Rajesh Singh, Sanjeevkumar Angadi
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
The Unique Way of Designing SNN Network for Content Recommending System using Hybrid Algorithms
Kanchan Yadav, Pinamala Sruthi, Hassan M. Al-Jawahry, Devender Kumar, Anita Gehlot, Sanjeev Kumar Angadi
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
An Intensive Review on Propagative Antagonistic N/W which is used in Health Care System
Arti Badhoutiya, Borra Sivaiah, Muntather Almusawi, Rajan Verma, Rajesh Singh, Sanjeevkumar Angadi
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
An Empirical Analysis and Overview of a Green 6-G Paradigms and its Various Implementation Applications
Dtv Dharmajee Rao, Kuldeep Sharma, Sanjeev Kumar Joshi, T Sudha Rani, Zaid Alsalami, Sanjeevkumar Angadi
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
Integration of ML Layer with GBC based Classifier for Better Recognition of Voice in Mobile
Vivekanand Aelgani, Gaurav Kumar, Ramy Riad Al-Fatlawy, Yogendra Kumar, Deepti Sharma, Sanjeevkumar Angadi
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
CNN-Based Detection of Tampered Digital Images
S. Prem Kumar, M. Sai Thirumalesh, T. Pramod Kumar, P. Subba Reddy, Sanjeevkumar Angadi, Nookala Venu
Tqcebt 2024 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024, 2024
A Deep Study on Encroachment Recognition Model through W-S-N and I-O-T
Krishna Kant Dixit, Satyendra Singh, P. Ravi Kiran, Kassem Al-Attabi, Aashna Sinha, Sanjeev Kumar Angadi
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
A Well-Structured Data Sharing System Implementation using EC Technology and Higher end Communication Network
Ashok Kumar, Laith Jasim, Atreyi Pramanik, G. Maheswari, S Sangeetha, Sanjeevkumar Angadi
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
Current Breakthroughs and Future Perspectives in Surgery Based on AI-Based Computing Vision
Human Cancer Diagnosis and Detection Using Exascale Computing, 2024
An Extensive Examination of Different Phases Available in Enhancing the Power of WSN
Rupali Gill, Rakesh Kumar, Shivani Pant, A. Deepika, Ramy Riad Al-Fatlawy, Sanjeevkumar Angadi
2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
Exploring artificial intelligence techniques for enhanced sentiment analysis through data mining
M. V. Jagannatha Reddy, J. Somasekar, Kaushalya Thopate, Sanjeev Kumar Angadi
Toward Artificial General Intelligence Deep Learning Neural Networks Generative AI, 2023
Exploring the potential of artificial intelligence for automated sentiment analysis and opinion mining
C. Senthil Kumar, A. R. Arunarani, Piyush Charan, Sanjeev Kumar Angadi
Toward Artificial General Intelligence Deep Learning Neural Networks Generative AI, 2023
Sentimental Analysis on Zomato Restaurant Reviews using Bi-LSTM
Deepti Chaudhari, Sanjeevkumar Angadi, Saili Sable, Uma Patil, Dipamala Chaudhari, Kavita Jadhav
International Conference on Integrated Intelligence and Communication Systems Iciics 2023, 2023
Recognition of Suspicious Human Activities using KLT and Kalman Filter for ATM Surveillance System
Suvarna Nandyal, Sanjeevkumar Angadi
Proceedings of International Conference on Innovative Practices in Technology and Management Iciptm 2021, 2021
Adaptive background generation method for automated teller machine (ATM) with an integrated video monitoring system
Suvarna Nandyal, Sanjeevkumar Angadi
Proceedings of 2020 IEEE International Conference on Technology Engineering Management for Societal Impact Using Marketing Entrepreneurship and Talent Temsmet 2020, 2020
Human Identification system based on spatial and temporal features in the video surveillance system
Sanjeevkumar Angadi, Suvarna Nandyal
International Journal of Ambient Computing and Intelligence, 2020

RECENT SCHOLAR PUBLICATIONS

A survey of medical chatbots: Predicting diseases through image recognition and textual symptom analysis
A Chavan, P Patil, A Patil, S Kotkar, SK Angadi
AIP Conference Proceedings 3386 (1), 020091 , 2026
2026
Hierarchical Attention Fuzzy Random Multimodal Network–Based English–Hindi Question Answering System
D Chaudhari, R Shrivastava, S Angadi
Computational Intelligence 42 (1), e70166 , 2026
2026
SpinalCNN: spinal convolutional neural network based kidney cancer detection
S Gujarathi-Mehta, R Shrivastava, S Angadi
Biomedical Signal Processing and Control 112, 108587 , 2026
2026
Citations: 3
LITERATURE SURVEY ON CLASSIFICATION OF BODY PARTS USING EEG SIGNAL
SP Mahalungkar, R Shrivastava, S Angadi
JOURNAL OF ADVANCE AND FUTURE RESEARCH 4 (1), 692-700-692-700 , 2026
2026
SPINALCNN: A NOVEL CONVOLUTIONAL ARCHITECTURE FOR AUTOMATED KIDNEY CANCER DETECTION
SM Gujrathi, R Shrivastava, S Angadi
JOURNAL OF ADVANCE AND FUTURE RESEARCH 4 (1), 734-750-734-750 , 2026
2026
Artificial Protozoa Lotus Effect Algorithm Enabled Cognitive Brain Optimal Model for Sentiment Analysis utilizing Multimodal data
S Angadi, SH Sable, T Zope, RA Hemade, VU Avachat
Computer Speech & Language, 101929 , 2025
2025
Classification of animal species using efficient neuron attention stage-by-stage network
LA Hadimani, MR Hudagi, S Urabinahatti, S Angadi, BA Patil
Engineering Applications of Artificial Intelligence 158, 111488 , 2025
2025
Hybrid deep learning system for crop disease classification using modified SegNet segmentation
MK Tripathi, DN Vasundhara, VM Ch, K Misal, BA Tingare, S Angadi
Computers and Electrical Engineering 127, 110576 , 2025
2025
Citations: 16
FKFFNet: Fractal Kronecker Forward Fractional Net for Severity Detection of Tuberculosis Using Sputum Image
S Angadi, SH Sable, SB Mehta, RA Hemade, VU Avachat
Biomedical Materials & Devices, 1-17 , 2025
2025
Preventing SQL Injection Attacks with Machine Learning: A TF-IDF+ XGBoost Approach
SS Pansare, PS Nimbalkar, PP Mhaske, SP Kadam, GP Patil, S Angadi
2025 2nd International Conference on Computing and Data Science (ICCDS), 1-6 , 2025
2025
QFMNet: Quantum fusion maxout network for brain activity detection using motor imagery of EEG signals
SP Mahalungkar, R Shrivastava, S Angadi
Intelligent Decision Technologies 19 (2), 1209-1225 , 2025
2025
Citations: 1
Enhanced satellite imagery analysis for post-disaster building damage assessment using integrated ResNet-U-Net model
D Bhardwaj, N Nagabhooshanam, A Singh, B Selvalakshmi, S Angadi, ...
Multimedia Tools and Applications 84 (5), 2689-2714 , 2025
2025
Citations: 27
MEDICAL IMAGE REGISTRATION AND CLASSIFICATION USING SMELL AGENT RAT SWARM OPTIMIZATION BASED DEEP MAXOUT NETWORK
S ANGADI, MK TRIPATHI, CHD SUKTE, SH SHIVENDRA
INDONESIAN JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 37 (3), 1908 , 2025
2025
Hybrid deep learning framework for enhanced target tracking in video surveillance using CNN and DRNN-GWO
T Bhaskar, K Sathish, DRS Victoria, EVR Kanth, U Patil, N Mukkapati, ...
Int. J. Basic Appl. Sci. 14, 208-215 , 2025
2025
Citations: 10
Ensemble strategies exploration for the calibration data optimized spatial filters based SSVEP recognition algorithms
T Luo, S Angadi, MA Elashiri
Biomedical Signal Processing and Control 99, 106932 , 2025
2025
Citations: 6
A brief survey on human activity recognition using motor imagery of EEG signals
SP Mahalungkar, R Shrivastava, S Angadi
Electromagnetic Biology and Medicine 43 (4), 312-327 , 2024
2024
Citations: 7
Identification of soluble solid content and total acid content using real-time visual inspection system
C Moorthy, MK Tripathi, MR Hudagi, LA Hadimani, GS Chavan, S Angadi
Indonesian Journal of Electrical Engineering and Computer Science 35 (1 … , 2024
2024
Citations: 5
Retraction Notice: An Intensive Review on Propagative Antagonistic N/W which is used in Health Care System
A Badhoutiya, B Sivaiah, M Almusawi, R Verma, R Singh, S Angadi
2024 4th International Conference on Advance Computing and Innovative … , 2024
2024
An Intensive Review on Propagative Antagonistic N/W which is used in Health Care System
A Badhoutiya, B Sivaiah, M Almusawi, R Verma, R Singh, S Angadi
2024 4th International Conference on Advance Computing and Innovative … , 2024
2024
Empirical Analysis of Developing EC Based Algorithms for Various WSN Network Applications
S Bansal, RV Reddy, S Aggarwal, MM Adnan, D Kumar, S Angadi
2024 4th International Conference on Advance Computing and Innovative … , 2024
2024

MOST CITED SCHOLAR PUBLICATIONS

Enhanced satellite imagery analysis for post-disaster building damage assessment using integrated ResNet-U-Net model
D Bhardwaj, N Nagabhooshanam, A Singh, B Selvalakshmi, S Angadi, ...
Multimedia Tools and Applications 84 (5), 2689-2714 , 2025
2025
Citations: 27
HARNet in deep learning approach—a systematic survey
NS Kumar, G Deepika, V Goutham, B Buvaneswari, RVK Reddy, ...
Scientific Reports 14 (1), 8363 , 2024
2024
Citations: 22
Human identification system based on spatial and temporal features in the video surveillance system
S Angadi, S Nandyal
International Journal of Ambient Computing and Intelligence (IJACI) 11 (3), 1-21 , 2020
2020
Citations: 19
Hybrid deep learning system for crop disease classification using modified SegNet segmentation
MK Tripathi, DN Vasundhara, VM Ch, K Misal, BA Tingare, S Angadi
Computers and Electrical Engineering 127, 110576 , 2025
2025
Citations: 16
A review on object detection and tracking in video surveillance
S Angadi, S Nandyal
International Journal of Advanced Research in Engineering and Technology 11 (9) , 2020
2020
Citations: 15
Recognition of suspicious human activities using klt and kalman filter for atm surveillance system
S Nandyal, S Angadi
2021 international conference on innovative practices in technology and … , 2021
2021
Citations: 12
Human identification using histogram of oriented gradients (HOG) and non-maximum suppression (NMS) for ATM video surveillance
S Angadi, S Nandyal
International Journal of Innovative Research in Computer Science … , 2021
2021
Citations: 12
Mathematical modelling and implementation of NLP for prediction of election results based on social media twitter engagement and polls
MK Tripathi, CHV Moorthy, VA Nemade, JV Barpute, SK Angadi
International Journal of Intelligent Systems and Applications in Engineering … , 2024
2024
Citations: 11
Hybrid deep learning framework for enhanced target tracking in video surveillance using CNN and DRNN-GWO
T Bhaskar, K Sathish, DRS Victoria, EVR Kanth, U Patil, N Mukkapati, ...
Int. J. Basic Appl. Sci. 14, 208-215 , 2025
2025
Citations: 10
A brief survey on human activity recognition using motor imagery of EEG signals
SP Mahalungkar, R Shrivastava, S Angadi
Electromagnetic Biology and Medicine 43 (4), 312-327 , 2024
2024
Citations: 7
A survey of kidney cancer analysis using machine learning and deep learning algorithms
K Angadi
J. Electrical Systems 20 (6s), 2491-2501 , 2024
2024
Citations: 7
Ensemble strategies exploration for the calibration data optimized spatial filters based SSVEP recognition algorithms
T Luo, S Angadi, MA Elashiri
Biomedical Signal Processing and Control 99, 106932 , 2025
2025
Citations: 6
Proficient exploration of malnourishment with machine learning by CNN procedure
P Dhore, L Wadhwa, P Shinde, D Naik, S Angadi
Journal of northeastern university 25 (04), 1916-1932 , 2022
2022
Citations: 6
Identification of soluble solid content and total acid content using real-time visual inspection system
C Moorthy, MK Tripathi, MR Hudagi, LA Hadimani, GS Chavan, S Angadi
Indonesian Journal of Electrical Engineering and Computer Science 35 (1 … , 2024
2024
Citations: 5
CNN-based detection of tampered digital images
SP Kumar, MS Thirumalesh, TP Kumar, PS Reddy, S Angadi, N Venu
2024 International Conference on Trends in Quantum Computing and Emerging … , 2024
2024
Citations: 4
A Review on Video Surveillance Techniques
S Angadi
2015
Citations: 4
SpinalCNN: spinal convolutional neural network based kidney cancer detection
S Gujarathi-Mehta, R Shrivastava, S Angadi
Biomedical Signal Processing and Control 112, 108587 , 2026
2026
Citations: 3
An Empirical Analysis and Overview of a Green 6-G Paradigms and its Various Implementation Applications
DD Rao, K Sharma, SK Joshi, TS Rani, Z Alsalami, S Angadi
2024 4th International Conference on Advance Computing and Innovative … , 2024
2024
Citations: 3
Sentimental Analysis on Zomato Restaurant Reviews using Bi-LSTM
D Chaudhari, S Angadi, S Sable, U Patil, D Chaudhari, K Jadhav
2023 International Conference on Integrated Intelligence and Communication … , 2023
2023
Citations: 3
A Survey of Sentimental Analysis on Zomato Restaurant Reviews.
D Kalbande, P Patil, S Kale, S Kasar, S Angadi, P Dhore
Journal of Pharmaceutical Negative Results 13 , 2022
2022
Citations: 3

Dr. SANJEEVKUMAR ANGADI

EDUCATION

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS