Dr. Makarand Shahade

@svkm-iot.ac.in

Associate Professor and HOD Computer Engineering
SVKM's Institute of Technology, Dhule

Dr. Makarand Shahade


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https://researchid.co/makarand.shahade

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Science
26

Scopus Publications

187

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • A hybrid CNN model for multi-class freshness and disease detection in local spinach varieties
    Aniket K. Shahade, Priyanka V. Deshmukh, Vidula V. Meshram, Vishal A. Meshram, Disha S. Wankhede, Makarand R. Shahade
    BMC Plant Biology, 2026
    Ensuring the post-harvest quality and health of leafy vegetables is critical for minimizing economic loss, enhancing food security, and promoting sustainable agricultural practices. Spinach, a highly nutritious yet perishable crop, is particularly susceptible to rapid freshness degradation and foliar diseases. While computer vision and deep learning have shown promise for automated quality assessment, existing models often lack the robustness to handle the dual-task classification of both freshness and disease states across diverse local spinach varieties. To bridge this gap, this paper introduces a novel hybrid Convolutional Neural Network (CNN) architecture specifically designed for the multi-class detection of freshness and visual disease symptoms in local spinach leaves. The proposed model synergistically integrates a powerful feature extraction backbone with a tailored attention and fusion mechanism, enhancing its ability to capture discriminative spatial and textural features critical for fine-grained classification. It was trained and validated on a curated dataset comprising high-resolution images of three prominent local varieties (Malabar, Water, and Red spinach) in both fresh and non-fresh conditions. The proposed hybrid model achieved a classification accuracy of 98.36%, significantly outperforming benchmark state-of-the-art models including DenseNet121, ResNet50, and EfficientNetB0. Furthermore, explainable AI (XAI) techniques visually validated the model’s decision-making process, confirming its focus on biologically relevant leaf regions. The results demonstrate that the proposed hybrid framework offers a highly accurate, reliable, and interpretable tool for non-destructive, real-time quality monitoring. This work provides a significant contribution towards intelligent post-harvest management systems, capable of reducing waste and supporting the value chain for local spinach cultivation.
  • Vividh-Vaani: Video Translation and Synchronization using Machine Learning
    Kavita Tukaram Patil, Nita Jayesh Mahale, Mayuri Diwakar Kulkarni, Makarand Shahade, Ashish Awate, Bhushan Nandwalkar
    Cluster Computing, 2026
  • Deep Neural Network-Based Risk Prediction of Glioblastoma Multiforme Recurrence
    Disha Sushant Wankhede, Aniket K. Shahade, Priyanka V. Deshmukh, Akshay Manikjade, Makrand Shahade, Pritam H. Gohatre, Kanchan Tidke
    Journal of Molecular Neuroscience, 2025
  • Optimizing NLP Processes with Human Insight and Machine Intelligence
    Priyanka V. Deshmukh, Aniket K. Shahade, Disha S. Wankhede, Makarand R. Shahade, Nitin N. Sakhare, Pritam H. Gohatre
    Ingenierie Des Systemes D Information, 2025
    This study explores the integration of human-machine collaboration (HMC) in natural language processing (NLP) to enhance content creation and decision support.While machines offer scalability and efficiency, the absence of seamless integration with human creativity and domain expertise limits NLP's full potential.The research outlines a framework that combines automated techniques-such as tokenization, stemming, lemmatization, sentiment analysis, topic modeling, and named entity recognition-with human-guided data curation, annotation, and error correction.The methodology emphasizes user-centered design and empirical evaluation to ensure accuracy, relevance, and usability of NLP outputs.Python-based implementations were used to analyze content performance across platforms, highlighting social media (90% usage) and blogs (78%) as key channels for audience engagement and content delivery.The findings demonstrate that collaborative NLP systems can significantly improve the quality of content generation and support evidence-based decision-making.The study underscores the importance of interdisciplinary approaches and suggests future work focus on applying advanced methods such as deep learning, reinforcement learning, and interactive interfaces to further enrich humanmachine synergy in NLP applications.
  • Breast Cancer Detection Using a Novel Hybrid Machine Learning Approach
    Priyanka V. Deshmukh, Aniket K. Shahade, Makarand R. Shahade, Disha S. Wankhede, Pritam H. Gohatre
    Ingenierie Des Systemes D Information, 2025
    Breast cancer is the most common and lethal cancer among women across the globe, and supporting early detection through accurate diagnostic measures would save many lives.However, existing diagnostic techniques often encounter problems concerning accuracy and reliability, hence, they are ineffective.This paper presents a new multi-classifier machine learning technique for breast cancer diagnosis using the integration of conventional machine learning (ML) and deep learning (DL) paradigms.The model employs a two-step process: The first step is feature selection using a random forest (RF) to do dimensionality reduction, and feature selection eliminates features that are not useful; the last step is classification using a convolutional neural network (CNN).The hybrid model is then tested using a Wisconsin breast cancer data set.Evaluation criteria for the key performance indicators include accuracy, precision, recall rate, F1-score, and AUC ROC.As the results have revealed, the hybrid model is higher than the traditional methods like logistic regression (LR) with an accuracy of 94.5%, a precision of 92.8%, recall of 95.0%, an F1score of 93.8% and an AUC-ROC of 0.97.This study demonstrates that integrating human readers into the evaluation process can enhance the reliability and efficiency of clinical breast cancer detection and, hence, contribute to developing diagnostic techniques in online medical image analysis.
  • ExamGuard: Smart contracts for secure online test
    Mayuri Diwakar Kulkarni, Ashish Awate, Makarand Shahade, Bhushan Nandwalkar
    Information Systems, 2025
  • User behaviour based insider threat detection model using an LSTM integrated RF model
    S. K. Uma Maheswaran, L. Rajasekar, Ziaul Haque Choudhury, Makarand Shahade
    Network Computation in Neural Systems, 2025
    Insider threat is one of the most serious and frequent security risks facing various industries like governmental organizations, businesses, and institutions. Insider threat identification has a special combination of difficulties, including vastly unbalanced data, insufficient ground truth, and drifting and shifting behaviour. A user behaviour-based insider threat detection model utilizing a hybrid deep long short-term memory-random forest (LSTM-RF) model is developed to address these challenges. In this proposed insider threat detection model, the user log data is preprocessed to replace the missing value and to normalize the data to certain range. Then, these preprocessed data are provided as the input of the attribute selection process that mainly applies for selecting the essential attribute using Spearman's rank correlation coefficient. Then the deep hybrid LSTM-RF classifier to detect whether a system is affected by inside threat or not such as malware, authentication, phishing are fed to the selected features. Hybrid LSTM-RF method is implemented in python and achieved 96% accuracy, 90% precision, 90% specificity, 97% sensitivity, and 94% F1-score. During an attack, it can be easily detected inside the system attack.
  • Automated Resume Ranking Using Semantic NLP and Machine Learning in Smart Hire
    Makarand Shahade, Bhushan Nandwalkar, Darshan Tamboli, Tejas Bagul, Meet Saroliya, Vaishali Patil
    2025 International Conference on Engineering Innovations and Technologies Icoeit 2025, 2025
    This paper presents an advanced automated resume screening and ranking system Smart Hire that aims to transform the hiring process. It effectively addresses the challenges faced by human resource professionals, such as the time-consuming resume review process, inherent biases, and the risk of overlooking qualified candidates. This system employs cutting-edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to efficiently parse, analyze, and rank resumes in relation to job descriptions. The system is structured with a four - tier architecture, which features a React-based web interface, a spaCy NLP pipeline with custom entity recognition, MongoDB clusters for optimal data storage, and a hybrid ranking algorithm. This unique combination facilitates real-time processing of large numbers of resumes, with the capacity to manage more than 4,000 resumes per hour. Key innovations of Smart Hire include the application of semantic NLP for skill matching, a schema-less Mongo Database (MongoDB) design that accommodates various resume formats, and a dynamic weight adjustment feature that adapts to priority markers in job descriptions. The proposed system demonstrates significant advancements over existing solutions, achieving a precision rate of 92.82% and reduces the processing time by 50% for the extraction and classification of features.
  • Digital Agriculture Platforms: Empowering Farmers and Enhancing Market Accessibility
    Kavita T Patil, Shruti Patil, Harshada Patil, Madhavika Salunke, Shreyash Chandwadkar, Makarand Shahade
    2025 International Conference on Pervasive Computational Technologies Icpct 2025, 2025
    In the present day and age of technology and digitalization our proposed platform revolutionizes the agricultural market concept by providing a direct connection between the farmers and the consumers thus reducing the middlemen and providing a clear and viable market solution. The system also benefits farmers in that it makes it easier for them to display their produce, set price and sell. By having extensive product catalogue, using multiple languages, and interacting through the website in real-time, farmers are able to directly deal with the buyers from their respective regions and they are fairly paid for their work. In turn, consumers get to enjoy new, fresh, local and affordable foods from the markets they get supplied to. The secure mode of payment and simplified interface makes it easily accessible for all clients to create a sustainable and positive impact on the economy of the agricultural sector.
  • AlgoDecrypt: A Cryptographic Algorithm Identification System
    Makarand Shahade, Ashish Awate, Anish Nale, Pavan Patil, Prerna Khairnar, Siddheshwar Nerkar
    2025 International Conference on Engineering Innovations and Technologies Icoeit 2025, 2025
    Identifying cryptographic algorithms is a critical process in cybersecurity, providing insights into encryption methods used to protect information. Traditional identification methods involve manual examination, which is time-consuming, inefficient, and prone to errors. With the evolution of encryption algorithms, an efficient and automated solution is essential. This paper presents an AI/ML-based system employing a Convolutional Neural Network (CNN) with 10 layers integrated with Bi-Directional Long Short-Term Memory (LSTM) networks to categorize cryptographic algorithms based on ciphertext characteristics. 13 different models were developed, each trained to identify specific algorithms. The system extracts features such as entropy, block size, and character distribution for accurate classification. A React frontend allows users to input ciphertext for analysis, while a Flask backend processes the data and applies the trained models. Results are stored in a MongoDB database for further analysis and future research. Using deep learning tools like TensorFlow and PyTorch, the system achieves superior accuracy and efficiency compared to traditional methods. This research demonstrates how AI can significantly enhance cryptographic analysis, offering a scalable, reliable, and rapid solution for cybersecurity professionals.
  • An IoT enabled healthcare framework for arrhythmia detection based on Qos aware trust aided osprey routing protocol and ensemble learning
    Vijay A. Kotkar, Avinash L. Golande, Kirti V. Deshpande, Makarand Shahade, Vinodkumar H. Bhutnal
    Multimedia Tools and Applications, 2024
  • Real-time automated fabric defect detection system
    Umakant Mandawkar, Makarand Shahade, Samruddhi Wadekar, Chetan Kachhava, Yash Patil, Sakshi Mandwekar
    Advances in AI for Biomedical Instrumentation Electronics and Computing Proceedings of the 5th International Conference on Advances in AI for Biomedical Instrumentation Electronics and Computing Icabec 2023, 2024
  • Lightning Sidebridge: Decentralized RPC Load Balancer
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Unmasking attacker identity behind the VPN
    A.S. Awate, B.N. Nandwalkar, M.R. Shahade, D.B. Mali, H.V. Patil, H.R. Waghare, H.R. Patil
    Advances in AI for Biomedical Instrumentation Electronics and Computing Proceedings of the 5th International Conference on Advances in AI for Biomedical Instrumentation Electronics and Computing Icabec 2023, 2024
  • Transforming Business Approaches with an Integrated Machine Learning and Algorithmic System, Guided by Visual Data Dashboards
    Khalid Alfatmi, Chaitanya Sharma, Vijaylaxmi Bittal, Makarand Shahade, Ashiya Ashok, Sakshi Pagariya, Sarvagya Varma
    Lecture Notes in Electrical Engineering, 2024
  • Simulator for Swarm Feature Selection Algorithms for Classification Problem
    Mayuri Diwakar Kulkarni, Makarand Shahade, Shailesh Deore, Nilesh Khandekar, Ishwari Bhavsar, Jayesh Garud, Kunal Ahirrao
    2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2024, 2024
  • TrustCaller- Voice-based Fraud Prevention System
    Rushikesh Sonwane, Mansi Patil, Purva Chauhan, Anushka Jain, Bhushan Nandwalkar, Ashish Awate, Makarand Shahade
    2024 4th International Conference on Intelligent Technologies Conit 2024, 2024
  • e-Nidan: Autism spectrum disorder detection using machine learning
    Ashish Awate, Krutika Yeola, Makarand Shahade, Vaishnavee Patil, Mayuri Vispute, Hemshri Amrutkar, Bhushan Nandwalkar
    Advances in AI for Biomedical Instrumentation Electronics and Computing Proceedings of the 5th International Conference on Advances in AI for Biomedical Instrumentation Electronics and Computing Icabec 2023, 2024
  • ArthritisCare: Empowering wellness through personalized arthritis detection and physiotherapy exercise recommendation
    Vijaylaxmi Bittal, Makarand Shahade, Isha Wagh, Pratiksha Yeshi, Pritam Lokhande, Hindraj Patil, Khalid Alfatmi
    Advances in AI for Biomedical Instrumentation Electronics and Computing Proceedings of the 5th International Conference on Advances in AI for Biomedical Instrumentation Electronics and Computing Icabec 2023, 2024
  • PlaceTech: An AI-enabled solution for smart placement
    Khalid Alfatmi, Sakshi Pande, Makarand Shahade, Vaibhavi Suryawanshi, Kalpesh Badgujar, Vishwajit Patil, Mayuri Kulkarni
    Advances in AI for Biomedical Instrumentation Electronics and Computing Proceedings of the 5th International Conference on Advances in AI for Biomedical Instrumentation Electronics and Computing Icabec 2023, 2024
  • Rights reach: AI-powered legal assistance for the physically challenged
    Vijaylaxmi Bittal, Sakshi Pingale, Makarand Shahade, Manish Patil, Ketaki Patil, Manashri Patil, Khalid Alfatmi
    Advances in AI for Biomedical Instrumentation Electronics and Computing Proceedings of the 5th International Conference on Advances in AI for Biomedical Instrumentation Electronics and Computing Icabec 2023, 2024
  • Simplifying legal language: An AI-powered approach to enhance document accessibility
    Kiran Somwanshi, Khalid Alfatmi, Ashwini Vibhandik, Darshana Karbhari, Gagan Jarsodiwala, Rahul Relan, Makarand Shahade
    Advances in AI for Biomedical Instrumentation Electronics and Computing Proceedings of the 5th International Conference on Advances in AI for Biomedical Instrumentation Electronics and Computing Icabec 2023, 2024
  • Automatic robot Manoeuvres detection using computer vision and deep learning techniques: a perspective of internet of robotics things (IoRT)
    Hemant B. Mahajan, Nilesh Uke, Priya Pise, Makarand Shahade, Vandana G. Dixit, Swapna Bhavsar, Sarita D. Deshpande
    Multimedia Tools and Applications, 2023
  • Descriptive Handwritten Paper Grading System using NLP and Fuzzy Logic
    Nandwalkar Bhushan, Pardeshi Sukruta, Shahade Makarand, Awate Ashish
    International Journal of Performability Engineering, 2023
  • E-Safe: An E-waste Management and Awareness Application using YOLO Object Detection
    Khalid Alfatmi, Falguni Shashikant Shinde, Makarand Shahade, Shalaka Sanjay Sharma, Sejal Sanjay Aruja, Tanmay Yograj Chaudhari
    Proceedings of the 7th International Conference on Intelligent Computing and Control Systems Iciccs 2023, 2023
  • Speech To Image Translation Framework for Teacher-Student Learning
    Vijaylaxmi Bittal, Anuradha Sanjay Bachhav, Makarand Shahade, Pradnya Rajendra Chavan, Bhavesh Anil Nikam, Ajinkya Anil Pawar
    Proceedings 2023 3rd International Conference on Pervasive Computing and Social Networking Icpcsn 2023, 2023

RECENT SCHOLAR PUBLICATIONS

  • Vividh-Vaani : Video Translation and Synchronization using Machine Learning
    KT Patil, NJ Mahale, MD Kulkarni, M Shahade, A Awate, B Nandwalkar
    Cluster Computing 29 (3), 137 , 2026
    2026
  • Threatshield: Toxic Comments on Social Media
    A Awate, M Shahade, K Badgujar, P Badgujar, R Patil, B Patiil
    2026 International Conference on Multidisciplinary Innovations For Smart … , 2026
    2026
  • A hybrid CNN model for multi-class freshness and disease detection in local spinach varieties
    AK Shahade, PV Deshmukh, VV Meshram, VA Meshram, DS Wankhede, ...
    BMC Plant Biology , 2026
    2026
  • A Deep Learning Approach for Generating Pedagogically Aligned Questions Using Bloom’s Taxonomy
    KT Patil, M Shahade, A Girase, N Jadhav, M Wagh, R Chavan
    2026 International Conference on Computing, Electronics & Communications … , 2026
    2026
  • Blood Donation Application Using Machine Learning
    M Mahajan, M Shahade, P Kachave, R Suryawanshi, P Patil, S Patil
    International Conference on Computer Science and Communication Engineering … , 2025
    2025
  • AlgoDecrypt: A Cryptographic Algorithm Identification System
    M Shahade, A Awate, A Nale, P Patil, P Khairnar, S Nerkar
    2025 International Conference on Engineering Innovations and Technologies … , 2025
    2025
  • Automated Resume Ranking Using Semantic NLP and Machine Learning in Smart Hire
    M Shahade, B Nandwalkar, D Tamboli, T Bagul, M Saroliya, V Patil
    2025 International Conference on Engineering Innovations and Technologies … , 2025
    2025
    Citations: 1
  • Optimizing NLP Processes with Human Insight and Machine Intelligence.
    PV Deshmukh, AK Shahade, DS Wankhede, MR Shahade, NN Sakhare, ...
    Ingénierie des Systèmes d'Information 30 (5) , 2025
    2025
    Citations: 4
  • User behaviour based insider threat detection model using an LSTM integrated RF model
    SK Uma Maheswaran, L Rajasekar, Z Haque Choudhury, M Shahade
    Network: Computation in Neural Systems, 1-38 , 2025
    2025
    Citations: 2
  • Breast Cancer Detection Using a Novel Hybrid Machine Learning Approach
    PV Deshmukh, AK Shahade, MR Shahade, DS Wankhede, PH Gohatre
    Ingenierie des Systemes d'Information 30 (3), 565 , 2025
    2025
    Citations: 4
  • Digital agriculture platforms: Empowering farmers and enhancing market accessibility
    KT Patil, S Patil, H Patil, M Salunke, S Chandwadkar, M Shahade
    2025 International Conference on Pervasive Computational Technologies (ICPCT … , 2025
    2025
    Citations: 5
  • ExamGuard: Smart contracts for secure online test
    MD Kulkarni, A Awate, M Shahade, B Nandwalkar
    Information Systems 128, 102485 , 2025
    2025
    Citations: 4
  • and Algorithmic System, Guided by Visual Data Dashboards
    K Alfatmi, C Sharma, V Bittal, M Shahade, A Ashok, S Pagariya, S Varma
    Proceedings of International Conference on Recent Innovations in Computing … , 2024
    2024
  • TrustCaller-Voice-based Fraud Prevention System
    R Sonwane, M Patil, P Chauhan, A Jain, B Nandwalkar, A Awate, ...
    2024 4th International Conference on Intelligent Technologies (CONIT), 1-6 , 2024
    2024
    Citations: 2
  • Lightning Sidebridge: Decentralized RPC Load Balancer.
    M Kulkarni, M Shahade, D Mahajan, B Nikam, R Badgujar, P Sharma
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
  • Rights reach: AI-powered legal assistance for the physically challenged
    V Bittal, S Pingale, M Shahade, M Patil, K Patil, M Patil, K Alfatmi
    Advances in AI for Biomedical Instrumentation, Electronics and Computing … , 2024
    2024
    Citations: 1
  • Unmasking attacker identity behind the VPN
    AS Awate, BN Nandwalkar, MR Shahade, DB Mali, HV Patil, HR Waghare, ...
    Advances in AI for Biomedical Instrumentation, Electronics and Computing … , 2024
    2024
    Citations: 1
  • ArthritisCare: Empowering wellness through personalized arthritis detection and physiotherapy exercise recommendation
    V Bittal, M Shahade, I Wagh, P Yeshi, P Lokhande, H Patil, K Alfatmi
    Advances in AI for Biomedical Instrumentation, Electronics and Computing … , 2024
    2024
    Citations: 1
  • e-Nidan: Autism spectrum disorder detection using machine learning
    A Awate, K Yeola, M Shahade, V Patil, M Vispute, H Amrutkar, ...
    Advances in AI for Biomedical Instrumentation, Electronics and Computing … , 2024
    2024
    Citations: 1
  • Real-time automated fabric defect detection system
    U Mandawkar, M Shahade, S Wadekar, C Kachhava, Y Patil, ...
    Advances in AI for Biomedical Instrumentation, Electronics and Computing … , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Automatic robot Manoeuvres detection using computer vision and deep learning techniques: a perspective of internet of robotics things (IoRT)
    HB Mahajan, N Uke, P Pise, M Shahade, VG Dixit, S Bhavsar, ...
    Multimedia Tools and Applications 82 (15), 23251-23276 , 2023
    2023
    Citations: 88
  • E-safe: an e-waste management and awareness application using yolo object detection
    K Alfatmi, FS Shinde, M Shahade, SS Sharma, SS Aruja, TY Chaudhari
    2023 7th International Conference on Intelligent Computing and Control … , 2023
    2023
    Citations: 16
  • Hybrid routing protocol with broadcast reply for mobile Ad hoc network
    CA Dhote, MA Pund, RS Mangrulkar, MMR Shahade
    International Journal of Computer Applications 1 (10), 108-113 , 2010
    2010
    Citations: 16
  • Descriptive handwritten paper grading system using NLP and fuzzy logic
    B Nandwalkar, S Pardeshi, M Shahade, A Awate
    International Journal of Performability Engineering 19 (4), 273 , 2023
    2023
    Citations: 10
  • An IoT enabled healthcare framework for arrhythmia detection based on Qos aware trust aided osprey routing protocol and ensemble learning
    VA Kotkar, AL Golande, KV Deshpande, M Shahade, VH Bhutnal
    Multimedia Tools and Applications 83 (18), 55235-55257 , 2024
    2024
    Citations: 8
  • Digital agriculture platforms: Empowering farmers and enhancing market accessibility
    KT Patil, S Patil, H Patil, M Salunke, S Chandwadkar, M Shahade
    2025 International Conference on Pervasive Computational Technologies (ICPCT … , 2025
    2025
    Citations: 5
  • Basics of Quality of Services (QoS)
    CJ Ghyar, MR Shahade, SV Bamb, VB Mankar
    International Journal of Scientific Research in Science and Technology 4 (7 … , 2018
    2018
    Citations: 5
  • Optimizing NLP Processes with Human Insight and Machine Intelligence.
    PV Deshmukh, AK Shahade, DS Wankhede, MR Shahade, NN Sakhare, ...
    Ingénierie des Systèmes d'Information 30 (5) , 2025
    2025
    Citations: 4
  • Breast Cancer Detection Using a Novel Hybrid Machine Learning Approach
    PV Deshmukh, AK Shahade, MR Shahade, DS Wankhede, PH Gohatre
    Ingenierie des Systemes d'Information 30 (3), 565 , 2025
    2025
    Citations: 4
  • ExamGuard: Smart contracts for secure online test
    MD Kulkarni, A Awate, M Shahade, B Nandwalkar
    Information Systems 128, 102485 , 2025
    2025
    Citations: 4
  • Convolutional neural networks for handwritten text recognition of medical prescription
    M Shahade, M Kulkarni, V Pawar, J Chaudhari, Y Lakade, D Kotkar
    Journal of Digital Information Management 21 (4) , 2023
    2023
    Citations: 4
  • Speech to image translation framework for teacher-student learning
    V Bittal, AS Bachhav, M Shahade, PR Chavan, BA Nikam, AA Pawar
    2023 3rd International Conference on Pervasive Computing and Social … , 2023
    2023
    Citations: 4
  • User behaviour based insider threat detection model using an LSTM integrated RF model
    SK Uma Maheswaran, L Rajasekar, Z Haque Choudhury, M Shahade
    Network: Computation in Neural Systems, 1-38 , 2025
    2025
    Citations: 2
  • TrustCaller-Voice-based Fraud Prevention System
    R Sonwane, M Patil, P Chauhan, A Jain, B Nandwalkar, A Awate, ...
    2024 4th International Conference on Intelligent Technologies (CONIT), 1-6 , 2024
    2024
    Citations: 2
  • Artificial intelligence with stereo vision algorithms and its methods
    SS Thakare, RP Arbal, MR Shahade
    IJCA Proceedings on International Conference on Recent Trends in Information … , 2011
    2011
    Citations: 2
  • Automated Resume Ranking Using Semantic NLP and Machine Learning in Smart Hire
    M Shahade, B Nandwalkar, D Tamboli, T Bagul, M Saroliya, V Patil
    2025 International Conference on Engineering Innovations and Technologies … , 2025
    2025
    Citations: 1
  • Rights reach: AI-powered legal assistance for the physically challenged
    V Bittal, S Pingale, M Shahade, M Patil, K Patil, M Patil, K Alfatmi
    Advances in AI for Biomedical Instrumentation, Electronics and Computing … , 2024
    2024
    Citations: 1
  • Unmasking attacker identity behind the VPN
    AS Awate, BN Nandwalkar, MR Shahade, DB Mali, HV Patil, HR Waghare, ...
    Advances in AI for Biomedical Instrumentation, Electronics and Computing … , 2024
    2024
    Citations: 1
  • ArthritisCare: Empowering wellness through personalized arthritis detection and physiotherapy exercise recommendation
    V Bittal, M Shahade, I Wagh, P Yeshi, P Lokhande, H Patil, K Alfatmi
    Advances in AI for Biomedical Instrumentation, Electronics and Computing … , 2024
    2024
    Citations: 1
  • e-Nidan: Autism spectrum disorder detection using machine learning
    A Awate, K Yeola, M Shahade, V Patil, M Vispute, H Amrutkar, ...
    Advances in AI for Biomedical Instrumentation, Electronics and Computing … , 2024
    2024
    Citations: 1