Items where Subject is "Deep Learning"

Article

Akila, Duraisamy and Garg, Harish and Pal, Souvik and Jeyalaksshmi, Sundaram (2024) Research on recognition of students attention in offline classroom-based on deep learning. Education and Information Technologies, 29 (6). pp. 6865-6893. ISSN 1360-2357

Anusha, D. J. and Anandan, R. and Krishna, P. Venkata (2024) A novel deep learning and Internet of Things (IoT) enabled precision agricultural framework for crop yield production. Journal of Autonomous Intelligence, 7 (4). ISSN 2630-5046

Chowdhury, Farhana Ahmed and Hosain, Md Kamal and Bin Islam, Md Sakib and Hossain, Md Shafayet and Basak, Promit and Mahmud, Sakib and Murugappan, M. and Chowdhury, Muhammad E.H. (2024) ECG waveform generation from radar signals: A deep learning perspective. Computers in Biology and Medicine, 176. p. 108555. ISSN 00104825

Dharani, M. and Sathya, S. (2024) An Analysis of Cyberbullying in Text Data using Deep Learning Algorithms. Communications on Applied Nonlinear Analysis, 31 (3s). pp. 61-73. ISSN 1074-133X

Dharani, M. and Sathya, S. (2024) Deep Learning Algorithms with Adam Optimization for Detecting of Cyberbullying Comments. Nanotechnology Perceptions, 20 (S3).

Jain, Vaibhav and Rakshe, Chetan Tanaji and Sengar, Sandeep Singh and Murugappan, M. and Ronickom, Jac Fredo Agastinose (2024) Age- and Severity-Specific Deep Learning Models for Autism Spectrum Disorder Classification Using Functional Connectivity Measures. Arabian Journal for Science and Engineering, 49 (5). pp. 6847-6865. ISSN 2193-567X

Janahan,, S K and Sahayadhas, A (2020) A SUPERLATIVE GROPING ON THERAPEUTIC PROPERTIES OF PREMNA LATIFOLIA EXTRACTS. Journal of critical reviews, 7 (05). ISSN 23945125

Leena Nesamani, S and Banushri, A. (2024) A review of using deep learning from an ecology perspective to address climate change and air pollution. Global NEST: the international Journal. ISSN 1790-7632

M, Girija and V, Divya (2024) Deep Learning-Based Traffic Accident Prediction: An Investigative Study for Enhanced Road Safety. EAI Endorsed Transactions on Internet of Things, 10. ISSN 2414-1399

Manikandan, A and Anandan, R (2018) Traffic accident monitoring system using deep learning. International Journal of Engineering & Technology, 7 (2.21). p. 283. ISSN 2227-524X

Mayuri, Kannan and Varalakshmi, Durairaj and Tharaheswari, Mayakrishnan and Somala, Chaitanya Sree and Priya, Selvaraj Sathya and Bharathkumar, Nagaraj and Senthil, Renganathan and Kushwah, Raja Babu Singh and Vickram, Sundaram and Anand, Thirunavukarasou and Saravanan, Konda Mani (2024) Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures. BioMedInformatics, 4 (1). pp. 347-359. ISSN 2673-7426

Premnath, S. P. and Gowr, P. Sheela and Ananth, J. P. and Arumugam, Sajeev Ram (2024) Image enhancement and blur pixel identification with optimization-enabled deep learning for image restoration. Signal, Image and Video Processing, 18 (5). pp. 4525-4540. ISSN 1863-1703

R-Prabha, M. and Prabhu, Ramkumar and Suganthi, SU. and Sridevi, S. and Senthil, G.A. and Vijendra Babu, D. (2021) Design of Hybrid Deep Learning Approach for Covid-19 Infected Lung Image Segmentation. Journal of Physics: Conference Series, 2040 (1). 012016. ISSN 1742-6588

Reddy, Siva Kumar and Kathirvelu, Kalaivani (2024) Hybrid Optimization Enabled Deep-Learning for Prostate Cancer Detection. Sensing and Imaging, 25 (1). ISSN 1557-2072

Sahaai, Madona B and Jothilakshmi, G R (2021) Hierarchical based tumor segmentation by detection using deep learning approach. Journal of Physics: Conference Series, 1921 (1). 012080. ISSN 1742-6588

Sarmun, Rusab and Chowdhury, Muhammad E. H. and Murugappan, M. and Aqel, Ahmed and Ezzuddin, Maymouna and Rahman, Syed Mahfuzur and Khandakar, Amith and Akter, Sanzida and Alfkey, Rashad and Hasan, Anwarul (2024) Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization. Cognitive Computation, 16 (3). pp. 1413-1431. ISSN 1866-9956

Sharma, Devansh and Anandan, R and Manikandan, A and Narayanan, Kumar and Swaraj Paul, C (2018) Building micro service for user engagement. International Journal of Engineering & Technology, 7 (2.21). p. 420. ISSN 2227-524X

Sivasankari, M. and Anandan, R. and Chamato, Fekadu Ashine and Kumar, Vijay (2022) HE-DFNETS: A Novel Hybrid Deep Learning Architecture for the Prediction of Potential Fishing Zone Areas in Indian Ocean Using Remote Sensing Images. Computational Intelligence and Neuroscience, 2022. pp. 1-10. ISSN 1687-5265

Srikrishnan, A. and Raaza, Arun and B, Ebenezer Abishek. and Rajendran, V. and Anand, M. and Gopalakrishnan, S. and M, Meena. (2022) A Fast and Effective Method for Intrusion Detection using Multi-Layered Deep Learning Networks. International Journal of Advanced Computer Science and Applications, 13 (12). ISSN 2158107X

Vanitha, K. and R, Mahesh T. and Sree, S. Sathea and Guluwadi, Suresh (2024) Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning. BMC Medical Informatics and Decision Making, 24 (1). ISSN 1472-6947

Book Section

Arumugam, Sajeev Ram and Gowr, Sheela and Abimala, A and Balakrishna, A and Manoj, Oswalt (2022) Performance Evaluation of Machine Learning and Deep Learning Techniques: A Comparative Analysis for House Price Prediction. In: Convergence of Deep Learning In Cyber‐IoT Systems and Security. Wiley, pp. 21-65. ISBN 9781119857686

Bhanumathi, M and Dhanya, S and Gugan, R and Kirthika, K G (2022) Marine Plastic Detection Using Deep Learning. In: Advances in Parallel Computing Algorithms, Tools and Paradigms. IOS Press and distributed.

Deepa, G. and Kalpana, Y. (2024) Exploring and Improving Deep Learning-Based Image Filtering and Segmentation Techniques for Enhancing Leukemia Images. In: Communications in Computer and Information Science. Springer, pp. 97-111.

Devi, Chingakham Nirma and Renuga Devi, R. (2024) Big Data and Deep Learning‐based Tourism Industry Sentiment Analysis Using Deep Spectral Recurrent Neural Network. In: Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection. Wiley, pp. 165-178. ISBN 9781394196470

Gnanaguru, Gnaneswari and Priscila, S.Silvia and Sakthivanitha, M. and Radhakrishnan, Sangeetha and Rajest, S. Suman and Singh, Sonia (2024) Thorough Analysis of Deep Learning Methods for Diagnosis of COVID-19 CT Images:. In: Advancements in Clinical Medicine. IGI, pp. 46-65.

Kayathri, V. and Prabakaran, P. (2024) Deep Learning-Based Algorithmic Trading Based on News and Events Strategies. In: Lecture Notes in Networks and Systems. Springer, pp. 311-320.

Meenakshi, C. and Meyyappan, S. and Ram, A. Ganesh and Vijayakarthick, M. and Vinoth, N. and Singh, Bhopendra (2024) Classification of Lung Images of COVID-19 Patients With the Application of Deep Learning Techniques:. In: Advancements in Clinical Medicine. IGI, pp. 66-79.

Meenakshi, G. and Thailambal, G. (2021) A Contemporary Method on Feature Selection and Classification Using Multi-Model Deep Learning Technique for Identifying Diabetic Retinopathy. In: Advances in Parallel Computing Technologies and Applications. IOS Press.

Pavithra, V. and Jayalakshmi, V. (2021) Deep Learning in Healthcare. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 181-197.

Priyadarsini, K. and Janahan, Senthil Kumar and Thirumal, S. and Bindu, P. and Raj, T. Ajith Bosco and Majji, Sankararao (2022) Recognition of the Multioriented Text Based on Deep Learning. In: Expert Clouds and Applications. Springer, pp. 367-375.

Punitha, A. and Sasirekha, D. and Dhanalakshmi, R. S. and Devi, K. Aruna and Suseendran, G. (2021) Deep Learning in Image Signal Processing for Minimal Method by Using Kernel DBN. In: Lecture Notes in Networks and Systems. Springer, pp. 41-50.

Rajan, Anuja A. and Durga, R. (2024) Fuzzy Membership Grasshopper Optimization Algorithm (FMGOA) Based Feature Selection and Mean Weight Deep Belief Network (MWDBN) Classifier with Fusion Approach for Android Malware Detection (AMD). In: Communications in Computer and Information Science. Springer, pp. 307-330.

Senthil, G. A. and Prabha, R. and Rajesh Kanna, R. and Umadevi Venkat, G. and Deepa, R. (2024) High-Performance Intelligent System for Real-Time Medical Image Using Deep Learning and Augmented Reality. In: Lecture Notes in Networks and Systems. Springer, pp. 103-119.

Senthilarasi, S. and Kamalakkannan, S. (2021) Unsupervised Deep Learning on Spatial-Temporal Traffic Data Using Agglomerative Clustering. In: Lecture Notes in Networks and Systems. Springer, pp. 757-776.

Sivachandra, K. and Kumudham, R. (2024) A Review: Object Detection and Classification Using Side Scan Sonar Images via Deep Learning Techniques. In: Studies in Computational Intelligence. Springer, pp. 229-249.

Suganthi, V. and Yogeshwari, M. (2024) Real-Time Facial Emotion Analysis for Adaptive Teaching Strategies Using Deep Learning:. In: Explainable AI Applications for Human Behavior Analysis. IGI, pp. 142-156.

Varun, T. and Suseendran, G. (2021) Improved Decision Tree Method in E-Learning System for Predictive Student Performance System During COVID 19. In: Lecture Notes in Networks and Systems. Springer, pp. 525-535.

Vijaykumar, Hannah and Jabeen, T. Nusrat and Nirmala, R. and Gayathri, S. and Suseendran, G. (2021) Deep Learning in Image Recognition for Easy Sketching Techniques. In: Lecture Notes in Networks and Systems. Springer, pp. 31-40.

Conference or Workshop Item

Anusuya, S. and Sharmila, K. (2022) Analysis of Food Calorie using Extended Kalman Algorithm and Novel Hybrid Deep-Learning Framework. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Arif, M. K. and Kathirvelu, Kalaivani and Yasir, A. (2024) Driver Health Monitoring System to Identify Cardiac Problems in Drivers using Live ECG Signal. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

Arumugam, Sajeev Ram and Balakrishna, R and Rajeshram, V. and Gowr, Sheela and Karuppasamy, Sankar Ganesh and Premnath, S.P. (2022) Prediction of severity of Knee Osteoarthritis on X-ray images using deep learning. In: 2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon), Vijaypur, India.

Ashita, C. T. and Kala, T. Sree (2022) Prediction of Heart Diseases using Deep Learning: A Review. In: 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India.

Bhanumathi, M. and Arthi, B. (2022) Future Trends and Short-Review on Fish Species Classification Models Based on Deep Learning Approaches. In: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Bhargavi Devi, P. and Sharmila, K. (2022) A Comparative Analysis of Deep-Learning Models with Novel Hybrid Biometric Modality Deep-Learning Network (BIOMODEN) to cognize Classification Accuracy of Fused Biometric Image. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Binu, Shiiu K and Shanthi, C (2024) Clinical Insight: Comparative Analysis of Deep Learning Models for Disease Prediction across Multifaceted Datasets. In: 2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballari, India.

Chitra, K. and Shanthi, C. (2022) A Novel Approach for Fatigue Driver Prediction using Deep Learning Model. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

G. A, Senthil and Prabha, R. and Razmah, M and Sridevi, S. and Roopa, D. and Asha, R M (2022) A Big Wave of Deep Learning in Medical Imaging - Analysis of Theory and Applications. In: 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.

Ganesh Karuppasamy, Sankar and Gowr, Sheela and Diwakaran, M and Maharajan, K. and Arumugam, Sajeev Ram and Rajeshram, V. (2022) Identification of COVID-19 in CT Images using Deep Learning Model. In: 2022 International Conference on Computer, Power and Communications (ICCPC), Chennai, India.

Jansi, B. and Sumalatha, V. (2024) Improved Gaussian Grasshopper Optimization Algorithm (IGGOA) and Deep Belief Network (DBN) For Fetal Health Classification. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

Jayakarthik, R. and Srinivasan, Aravindan and Goswami, Sohan and Shivaranjini, A and R, Mahaveerakannan (2022) Fall Detection Scheme based on Deep Learning Model for High-Quality Life. In: 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

K, Sadakathulla P. and Parameswari, R. (2022) An Overview of Latest Methods in Deep Learning for Automated Identification of COVID-19 Infection from Chest X-rays and CT-Scan Images. In: 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India.

Kalaivani, G. and Kamalakkannan, S. (2022) Web Scraping Technique for Prediction of Air Quality through Comparative Analysis of Machine Learning and Deep Learning Algorithm. In: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Kannan, Balaji and Sakthivanitha, M. and Jayashree, S. and Maruthi, R. (2024) Prediction of Cyber Attacks Utilizing Deep Learning Model using Network/Web Traffic Data. In: 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

M, Girija and V, Divya (2024) Road Traffic Accident Prediction using Deep Learning. In: 2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS), Coimbatore, India.

Prabakaran, P and Jayasudha, R. and Sandhu, Mukta and Gupta, Sandeep (2024) Deep Learning-Based Image Analysis to Track Vehicles. In: 2024 2nd International Conference on Disruptive Technologies (ICDT), Greater Noida, India.

Prakash, K. and Saradha, S. (2022) A Deep Learning Approach for Classification and Prediction of Cirrhosis Liver: Non Alcoholic Fatty Liver Disease (NAFLD). In: 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India.

Preethi, I. and Dharmarajan, K. and Sharma, Bhisham and Chowdhury, Subrata and Dhaou, Imed Ben (2024) A Novel Method to Predict Chronic Kidney Disease using Optimized Deep Learning Algorithm. In: 2024 21st Learning and Technology Conference (L&T), Jeddah, Saudi Arabia.

Raja K, Shanmuga and R, Jothi Lakshmi G. (2024) Elevating Spectral Efficiency through Quantum-Inspired Deep Learning in Massive MIMO for 5G Communications. In: 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India.

Ramachandran, Lalitha and S, Shanthana and Gokulakrishnan, A. and Kumar, Sunil and KS, Vishal and Sahaana, G. (2024) Decentralized Financial Stocks Prediction Using Deep Regression Learning. In: 2024 2nd International Conference on Disruptive Technologies (ICDT), Greater Noida, India.

Reddy, B. Siva Kumar and Balakrishna, R. (2022) A review on detection of prostate cancer using deep learning techniques. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 19–20 June 2021, Malappuram, India.

Reddy K.V, Siva Prasad and Meera, S. (2024) An Improved Deep Forest Classification and Intelligent Segmentation for skin Cancer Prediction Technique Inspired by Whale Optimization. In: 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India.

Sabarish, P. and Rosaline, S. and Sivarajan, S. and Permila, T. R. and Sujatha, G. and Sasikumar, M. (2024) Performance Analysis of Deep Learning RBFNN Algorithm Based Bridge/Concrete Detection. In: 2024 2nd International Conference on Computer, Communication and Control (IC4), Indore, India.

Sahaai, Madona B and Jothilakshmi, G. R. and Selva Kumar, R and Praveen Kumar, S (2022) Comparative Analysis on Brain Tumor Classification using Deep Learning Models. In: 2022 IEEE International Conference on Data Science and Information System (ICDSIS), Hassan, India.

Sharmila, K. and Devi, N. Shyamala and Devi, R. (2022) Survey on Sentiment Analysis using Deep Learning. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Sowmeya, V. and Karthik, R. Jaya (2022) Face recognition system for criminal identification using deep metric learning. In: RECENT TRENDS IN SCIENCE AND ENGINEERING, 27–28 February 2021, Krishnagiri, India.

Sreeraj, Anoop and P, Vijayalakshmi and V., Rajendran (2022) A Deep Learning Enabled Software-Defined Radio based Routing Protocol for Underwater Acoustic Sensor Networks. In: 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India.

Subhashini, V. and Nisha, A. Rahamath and Radhalakshmi, V. and Madhumita, G. and Selvi, K and Sudharson, K. (2024) Detecting Learning Patterns and Student Engagement in Online Courses Using Deep Learning. In: 2024 International Conference on Science Technology Engineering and Management (ICSTEM), Coimbatore, India.

Sundaram, Srinidhi and Jayaraman, Sasikala and Somasundaram, Kamalakkannan (2024) Automated Near-Duplicate Image Detection using Sparrow Search Algorithm with Deep Learning Model. In: 2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS), Coimbatore, India.

Thirumurugan., V and Anandan., R and Vijayarangan., R (2022) Effect of IoT Application and Smart Cities Using Deep Learning Techniques. In: 2022 IEEE International Conference on Data Science and Information System (ICDSIS), Hassan, India.

Varalakshmi, Sudha and S P, Premnath and V, Yogalakshmi and P, Vijayalakshmi. and Kavitha, V. R. and G, Vimalarani. (2021) Design of IoT Network using Deep Learning-based Model for Anomaly Detection. In: 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India.

Yasir, A. and Kathirvelu, Kalaivani and Arif, M. K. (2024) Web Based Cyber Attack Detection for Industrial System (PLC) Using Deep Learning. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.