BEAT-Net: A Deep Learning Architecture for Anomaly Detection in Driving Behavior Rushikesh Jadhav, Deipali Vikram Gore Proceedings Iceconf 2025 2025 2nd International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering, 2025 Sensors in smartphones are already quite common, and they provide the means of monitoring the driving behavior and detecting theriskful events in real-time at a low cost that can be scaled. This article presents BEAT-Net (Bidirectional Encoder with Attention and Temporal Memory Network), a deep learning architecture needed to identify anomalies in multivariate, time-series driving data. The model uses a combination of multiscale 1D convolutional layers to encode short-term signal variations, bidirectional GRU to encode temporal dependencies, and an attention mechanism to emphasize high-priority driving cues. Also, a memory module retains common driving patterns and applies top-k similarity to detect abnormal behaviours. A custom dataset based on smartphone accelerometer, gyroscopes, GPS and contextual features was used to conduct experiments. BEAT-Net showed high results, with an accuracy of 99.96, F1-score of 99.97 and ROC-AUC of 0.9999, and it continually performs better than state-of-the-art performance on Transformer, LSTM, CNN, GRU, MLP, Autoencoder, and VAE. Confirmation of the strength of the approach occurred through results on confusion matrices, ROC curves, and distributions of anomaly scores. On the whole, BEAT-Net offers a practical and efficient solution to identifying abnormal or unsafe driving patterns, which may be used in smart transport systems and road safety.
Face Verification using Twin Convolutional Neural Networks 14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
Composite Cryptographic Methodologies for Data Transmission Model using Modified Vigenère and Extended Polybius Cipher 14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
Syntax Error Detection and Correction in Python Code using ML 14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
Comparative study of various techniques using deep learning for brain tumor detection Deipali Vikram Gore, Vivek Deshpande 2020 International Conference for Emerging Technology Incet 2020, 2020 One of the life-threatening disease affecting the brain is the cancer of the brain. Detection of the tumor at an early stage becomes essential in order to save life's. One of the techniques used for detection of brain tumor is based on medical images. Deep learning is being used in order to detect brain tumor. Using deep learning techniques, has shown reduction of error in human early diagnosis of the disease. Especially, brain tumor diagnosis requires high accuracy, where minute errors in diagnosis may lead to complications. In medical image processing, brain tumor disclosure remains a demanding job. The image of the brain is complicated to detect the tumor. Several noises moreover delay affects the image accuracy. Image segmentation and MRI (magnetic resonance imaging) techniques have become a helpful medical diagnostic tool for the examination of the brain and other medical images. Image segmentation is an influential area of medical image processing. It is applied to bring out the different roles from medical images like MRI, CT scan, including Mammography, etc. In this paper, we presented a systematic review of brain disease using deep learning techniques. The investigation and comparative analysis of recent knowledge correlated with brain disorder detection using deep learning techniques is considered in this review. The outcome of this paper states the various research gaps identified from the literature review.
SMART: Stock market analyst rating technique using naive bayes classifier Yash Bhandare, Sumit Bharsawade, Dhurv Nayyar, Omkar Phadtare, Deipali Gore 2020 International Conference for Emerging Technology Incet 2020, 2020 Currently there are a lot of analysts and experts who give out recommendations to laymen regarding the operations of the stock market and answering the when and where of investments in the stock market. The system developed aims to create an unbiased rating system that will analyze and quantify the performance of stock market analysts. Our system will keep these analysts' reliability in check by analyzing their performance and providing a rating for each of these analysts on a 5 star rating system. The recommendations given by the analysts will be analyzed and factors relevant to the success/failure of the recommendation will be stored. The system will then use the Naive Bayes classifier to provide a rating on the factors thus extracted. The project will help curtail problems like incompetent analysts and simultaneously provide a system of reference to see how good an analyst is at his/her job.
Comparative study of CIA and revised-CIA algorithm Sneha Vasant Thakare, Deipali V. Gore Proceedings 2014 4th International Conference on Communication Systems and Network Technologies Csnt 2014, 2014 Cloud computing is an emerging, on-demand and Internet based popular technology. It provides lots of services over Internet such as, software, hardware, network, data storage, and computing and memory management. Besides this companies are binding their business from cloud computing because the fear of data leakage. Due to lack of security control mechanism and weakness in safeguard which lead to many security issues in cloud computing. In Internet world, Confidentiality, Integrity and availability is a model designed to guide policies for information security within business organization. CIA (Confidentiality, Integrity, Availability)[1] factors are used for data classification which is done by client before storing the data on server. The CIA factors are the measure part of CIA Algorithm. The client who wants to upload the data for storage needs to give the value of the factors C (confidentiality), I (integrity), and A (Availability). The value of C is depends on level of secrecy at each level of data accessing and prevents unauthorized access of files, value of I based on how much accuracy is provided, unauthorized modification is required and reliability of information, and value of A is depends on accessibility of file. With the help of proposed method, the priority rating is calculated. Accordingly if data having the higher priority rating is considered to be critical and 3D security is recommended on that data or file. After completion of this phase the data which is received by cloud user for storage, uses 3 Dimentional system for accessibility.
RECENT SCHOLAR PUBLICATIONS
BEAT-Net: A Deep Learning Architecture for Anomaly Detection in Driving Behavior R Jadhav, DV Gore 2025 2nd International Conference on Artificial Intelligence and Knowledge … , 2025 2025
Skin Disease Segmentation Using Arithmetic Optimization Tuned Federated Learning DVG Sujit N. Deshpande Kalyani Kadam, Mahesh A. Mahant 2025 16th International Conference on Computing Communication and Networking … , 2025 2025
Chromatic Diagnostics: Enhancing Paddy Disease Detection with Filter-Based Feature Transformation Deipali Vikram Gore, S. Rahamat Basha, S. Vinayagapriya, C. Saravanakumar, S ... Journal of Information Systems Engineering and Management 10, 484-492 , 2025 2025
MOD-XGBOOST: AN ADAPTIVE MACHINE LEARNING MODEL FOR INTERNET OF THINGS ENVIRONMENT TO DETECT SPOOFING AND DOS ATTACKS Sujit N. Deshpande, Deipali Vikram Gore, Amrapali Shivajirao Chavan ... International Journal on Information Technologies & Security, 17 , 2025 2025 Citations: 5
Efficient predefined time adaptive neural network for motor execution EEG signal classification based brain-computer interaction KK Jose N N, Deipali Gore, Vivekanandan G, Nithya E, Nallarasan V Elsevier: Knowledge Based System , 2024 2024 Citations: 35
Composite Cryptographic Methodologies for Data Transmission Model using Modified Vigenère and Extended Polybius Cipher. U Mudliar, K Zope, P Lohakare, A Tarate, DV Gore Grenze International Journal of Engineering & Technology (GIJET) 9 (2) , 2023 2023
Syntax Error Detection and Correction in Python Code using ML SG Deipali Vikram Gore, Mahima Binoj, Sayali Borate, Ritu Devnani Grenze International Journal of Engineering and Technology 9 (2), 296-301 , 2023 2023 Citations: 2
Face Verification using Twin Convolutional Neural Network DMDV Gore Grenze International Journal of Engineering and Technology , 2023 2023
Startup Achiever: Fundraising Platform Using Blockchain DMDV Gore International Journal of Creative Research Thoughts 11 (5), 446-453 , 2023 2023
Human Activity Recognition Using Computer Vision In Machine Learning DMDV Gore International Journal of Creative Research Thoughts 11 (5), 481-486 , 2023 2023
Project Eagle: Decentralizing DronesUsing Blockchain Technology DMDV Gore Hinweis International Conference on Computer Science, Cyber Security and … , 2023 2023
Robust Brain Diseases Classification Using CNN and Soft Computing Techniques DV Gore Proceedings of the International Conference on Cognitive and Intelligent … , 2022 2022 Citations: 1
Automatic CAD System for Brain Diseases Classification Using CNN-LSTM Model DV Gore, AK Sinha, V Deshpande Emerging Technologies in Data Mining and Information Security 1348, 623-634 , 2022 2022 Citations: 6
Computed Tomography(CT) generation from Magnetic Resonance Imaging(MRI) using multi cycle GAN’s DG Shriya Deshpande, Neha Bhalke, Amruta Patil , Yugandhar Yelai International Journal of Scientific Research in Engineering and Management 6 (6) , 2022 2022
Spam Detection using SVM on Twitter Data YS Thigale, DV Gore International Journal of Current Engineering and Technology 1 (8), 743-745 , 2021 2021
SMART : Stock Market Analyst Rating Technique Using Naive Bayes Classifier Y Bhandare, S Bharsawade, D Nayyar, O Phadtare, D Gore 2020 International Conference for Emerging Technology (INCET) , 2020 2020 Citations: 8
Comparative study of various techniques using deep learning for brain tumor detection DV Gore International Conference for Emerging Technology, INCET 2020 , 2020 2020 Citations: 100
Survey Paper on Spam Detection Using Support Machine Vector YS Thigale, D Gore Journal of Emerging Technologies and Innovative Research (JETIR) 7 (7), 740-743 , 2020 2020
1D Convolutional Neural Network for Stock Market Prediction using Tensorflow.js S Chavan, H Doshi, D Godbole, P Parge, D Gore International Journal of Innovative Science and Research Technology 4 (6 … , 2019 2019 Citations: 4
Detection of Fake Profiles on Twitter using Random Forest & Deep Convolutional Neural Network P SHAHANE, D GORE International Journal of Management, Technology And Engineering 9 (6), 3663-3667 , 2019 2019 Citations: 12
MOST CITED SCHOLAR PUBLICATIONS
Comparative study of classification algorithms used in sentiment analysis A Gupte, S Joshi, P Gadgul, A Kadam, A Gupte, G Deipali International Journal of Computer Science and Information Technologies 5 (5 … , 2014 2014 Citations: 148
Comparative study of various techniques using deep learning for brain tumor detection DV Gore International Conference for Emerging Technology, INCET 2020 , 2020 2020 Citations: 100
A New approach for identifying manipulated online reviews using decision tree RS Jadhav, DV Gore International Journal of Computer Science and Information Technologies 5 (2 … , 2014 2014 Citations: 74
A first course in Artificial Intelligence D Khemani McGraw Hill Education (India) , 2013 2013 Citations: 47
Sentiment analysis on twitter data using support vector machine D BholaneSavita, D Gore International Journal of Computer Science Trends and Technology (IJCST … , 2016 2016 Citations: 40
Efficient predefined time adaptive neural network for motor execution EEG signal classification based brain-computer interaction KK Jose N N, Deipali Gore, Vivekanandan G, Nithya E, Nallarasan V Elsevier: Knowledge Based System , 2024 2024 Citations: 35
A survey on sentiment analysis on twitter data using different techniques BS Dattu, DV Gore International Journal of Computer Science and Information Technologies 6 (6 … , 2015 2015 Citations: 33
Comparative study of document similarity algorithms and clustering algorithms for sentiment analysis R Deshpande, K Vaze, S Rathod, T Jarhad, G Deipali International Journal of Emerging Trends & Technology in Computer Science 3 … , 2014 2014 Citations: 15
Study of texture representation techniques SS Patil, AA Junnarkar, DV Gore International Journal of Emerging Trends & Technology in Computer Science 3 … , 2014 2014 Citations: 13
Detection of Fake Profiles on Twitter using Random Forest & Deep Convolutional Neural Network P SHAHANE, D GORE International Journal of Management, Technology And Engineering 9 (6), 3663-3667 , 2019 2019 Citations: 12
A Survey on Text Categorization with Different Types of Classification Methods M Bali, D Gore International Journal of Innovative Research in Computer 3 (5) , 2015 2015 Citations: 12
Comparative study of CIA and revised-CIA algorithm SV Thakare, DV Gore 2014 Fourth International Conference on Communication Systems and Network … , 2014 2014 Citations: 12
SMART : Stock Market Analyst Rating Technique Using Naive Bayes Classifier Y Bhandare, S Bharsawade, D Nayyar, O Phadtare, D Gore 2020 International Conference for Emerging Technology (INCET) , 2020 2020 Citations: 8
Introducing Celebrities in an Images using HAAR Cascade algorithm MJM Jadhav, MDV Gore, RR Tundalwar National Conference on Innovative Paradigms in Engineering & Technology … , 2013 2013 Citations: 8
A Survey on Classification Techniques to Determine Fake vs. Real Identities on Social Media Platforms P Shahane, D Gore International Journal for Research & Development in Technology 10 (2) , 2018 2018 Citations: 7
Automatic CAD System for Brain Diseases Classification Using CNN-LSTM Model DV Gore, AK Sinha, V Deshpande Emerging Technologies in Data Mining and Information Security 1348, 623-634 , 2022 2022 Citations: 6
MOD-XGBOOST: AN ADAPTIVE MACHINE LEARNING MODEL FOR INTERNET OF THINGS ENVIRONMENT TO DETECT SPOOFING AND DOS ATTACKS Sujit N. Deshpande, Deipali Vikram Gore, Amrapali Shivajirao Chavan ... International Journal on Information Technologies & Security, 17 , 2025 2025 Citations: 5
Efficient Sentiment Analysis Using Hybrid PSO-GA Approach A Sonagi, D Gore International Journal of Innovative Research in Computer and Communication … , 2017 2017 Citations: 5
Improving the performance of Information Retrieval System using AGA in Distributed Environment P Mitkal, D Gore International Journal of Innovative Research in Computer and Communication … , 2016 2016 Citations: 5
An Ant Colony Optimization Algorithm for maximizing the lifetime of Heterogeneous Wireless Sensor Network SU Parvatkar, DV Gore International Journal of Current Engineering and Technology 4 (3) , 2014 2014 Citations: 5
