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EAMCET | ICET | ECET | CODE: BVRI

PGECET | CODE: BVRI1 | NIRF

Research and Development

Journals: 

  1. Uday Kiran, G., Srilakshmi, V., Lavanya, B., Priyanka, B., “IntelliForecast: A Machine Learning Framework with Feature Engineering for Efficient Forecasting of Electricity Load”, International Research Journal of Multidisciplinary Technovation, Vol 7, No 5, pp. 14-30, 2025.
  2. Lella, K.K., Thatha, V.N., Pamula, U., Uday Kiran, G., Jagadesh, B.N., Vatambeti, R., “Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis”, IEEE Access, Vol 12, pp. 28972-28987, 2024. DOI: 10.1109/ACCESS.2024.3367889.
  3. Bhagat, H.V., Uday Kiran, G., Singh, M., “ImpClust: An Algorithm to Cluster Chemical Datasets for Drug Discovery”, International Journal of Intelligent Engineering and Systems, Vol 17, No 1, pp. 54-64, 2024. DOI: 10.22266/ijies2024.0229.06.
  4. G Uday Kiran, Sneha Raga Soujanya, M Mounika, Narasimha Chary CH, “A Machine Learning Pipeline and Application for Automatic Classification of Clinical Documents”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol 11, Issue 10, 2023. DOI:17762/ijritcc.v11i10.8512.
  5. Stateczny, A., Uday Kiran, G., Bindu, G., Ravi Chythanya, K.R., Ayyappa Swamy, K., “Spiral Search Grasshopper Features Selection with VGG19-ResNet50 for Remote Sensing Object Detection”, Remote Sensing, Vol 14, No 21, pp. 5398, 2022. DOI: 10.3390/rs14215398.
  6. Sivakami, R., Uday Kiran, G., Arun, M., David, L.G., Manur, M., “Dirichlet Feature Embedding with Adaptive Long Short-Term Memory Model for Intrusion Detection System”, Journal of System and Management Sciences, Vol 12, No 4, pp. 398-412, 2022. DOI: 10.33168/JSMS.2022.0428.
  7. G Uday Kiran, D Vasumathi, “Predicting Parkinson’s Disease using Extreme Learning Measure and Principal Component Analysis based Mini SOM”, Annals of the Romanian Society for Cell Biology, Vol 25, No 4, 2021.
  8. Uday Kiran, G., Vasumathi, D., “Disease detection using enhanced K-means clustering and davies-bouldin index in big data-safe engineering application”, Journal of Green Engineering, Vol 10, No 12, pp. 13089-13106, 2020.
  9. Uday Kiran, G., Vasumathi, D., “Overlap clustering technique based on the improved hierarchical agglomerative clustering”, Journal of Green Engineering, Vol 10, No 11, pp. 11594-11607, 2020.
  10. G Uday Kiran, “A Hybrid Clustering Algorithm to Reduce Dimensions and Optimal Selection of K-Centroids for Healthcare Datasets”, Journal of Applied Science and Computations, Vol 07, Issue 11, pp 110-119, 2020.

Conferences:

  1. Uday Kiran, G., Srilakshmi, V., Reddy, G.J.P., Divya, B., Laxmi, H.B., “SynapGraph: A Lightweight Adaptive Spatio-Temporal GNN for Robust EEG Emotion Recognition”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  2. Uday Kiran, G., Srilakshmi, V., Padmini, G., Anvith Reddy, G., Sai Shivani, B., “VISAGE-X: Interpretable Graph-Based and Explainable Scene Reasoning for Vision-Language Understanding”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  3. Uday Kiran, G., Diana, P.H., Bineesha, P., Paswan, S., Veerasekharreddy, B.V.S., “Integrating Knowledge Graph Reasoning for Explainable Question Answering in NLP Systems”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  4. Lavanya, B., Uday Kiran, G., Srilakshmi, V., Laukya, G., Karthik Reddy, L., “Integrating Knowledge Graph Reasoning for Explainable Question Answering in NLP Systems”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  5. Srilakshmi, V., Varun Reddy, V., Uday Kiran, G., Snigdha, K.S., Josiah, D.C., “Enhancing Aspect-Based Sentiment Analysis Through Knowledge Graphs and Multiview Representation Learning”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  6. Priyanka, B., Uday Kiran, G., Sanapala, S., Karthik, V., Gopika, V.S., “Hybrid Motion Synthesis for Speech-to-Sign Translation Using Deterministic Linguistic Parsing and Gated Recurrent Units”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  7. Veerasekharreddy, B.V.S., Thatha, V.N., Bellamkonda, S., Uday Kiran, G., Sanapala, S., “A hybrid ensemble classification model for predicting heart diseases”, AIP Conference Proceedings, Vol 3342, No 1, pp. 030039, 2025.
  8. Srilakshmi, V., Uday Kiran, G., Moulika, B., Laukya, G., Ruthick, M., “Integrating NAS for Human Pose Estimation”, Procedia Computer Science, Vol 252, pp. 182-191, 2025.
  9. Uday Kiran, G., Srilakshmi, V., Padmini, G., Ramana, V.B., Reddy, P.G., “Neural Architecture Search-Driven Optimization of Deep Learning Models for Drug Response Prediction”, Procedia Computer Science, Vol 252, pp. 172-181, 2025.
  10. Uday Kiran, G., Chaitanya, K., Sreenidhi, G., Prabhakar Nathan Raju, K., Prashanth, B., “AI-Powered Allergen Prediction Using Protein Language Model”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
  11. Uday Kiran, G., Priyanka, B., Nikhil, N., Jethin, P., Priya, N.S., “Image Super-Resolution Using ESRGAN Model”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
  12. Srilakshmi, V., Uday Kiran, G., Akhila, P., Abhinav Reddy, K., Varun Reddy, E., “Automated Retinal Image Analysis for Early Detection of Eye Disorders”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
  13. Uday Kiran, G., Srilakshmi, V., Sai Sreeja, S., Karthik, V., Sridar Chowdary, P., “Cache-Optimized Shared Embedding Space For Seamless Cross-Modal Search”, 8th World Engineering Conference on Contemporary Technologies (WECON 2025): NextGen Sustainable Technologies, 2025.
  14. Srilakshmi, V., Uday Kiran, G., Sai Sreeja, S., Karthik, V., Sridar Chowdary, P., “Cache-Augmented Multimodal Sentiment Detection Using Embedding Systems”, 8th World Engineering Conference on Contemporary Technologies (WECON 2025): NextGen Sustainable Technologies, 2025.
  15. Uday Kiran, G., Srilakshmi, V., Mounika, M., Padmini, G., Dubey, S., “Exploring the Impact of Neural Architecture Search on Human Pose Detection Techniques”, Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications (Inc4 2025), 2025.
  16. Srilakshmi, V., Uday Kiran, G., Priyanka, B., Smarandas, K., Prashanth, C.S.R.K., “Stack-Based Ensembles for Robust Neural Image Captioning”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
  17. Uday Kiran, G., Srilakshmi, V., Harshith, K.S., Mokshith, L.V.S., Sowmya, A., “Learning Correspondences Across Domains for Exemplar-Based Image Translation”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
  18. Uday Kiran, G., Srilakshmi, V., Padmini, G., Priyanka, B., Bhagya Laxmi, H., “One-Shot Stylization for Transformative Facial Art using StyloMorph”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
  19. Uday Kiran, G., Srilakshmi, V., Moulika, B., Laukya, G., Ruthick, M., “Unlearning”, 4th International Conference on Sustainable Expert Systems (ICSES 2024) – Proceedings, pp. 1115-1121, 2024.
  20. Changala, R., Lakshmi, H.N., Krishna, G.V., Uday Kiran, G., Thatha, V.N., “Sentiment analysis Optimization using Hybrid Machine Learning Techniques”, 2024 Parul International Conference on Engineering and Technology (PICET 2024), 2024.
  21. Uday Kiran, G., Gandi, R., Lavanya, M., Rao, C.U., Veerasekharreddy, B.V.S., “Deep Learning based Abstractive text Summarization: A Survey”, 2024 Parul International Conference on Engineering and Technology (PICET 2024), 2024.
  22. Uday Kiran, G., Gajula, S., Sravanthi, A., Veditha, T., Reddy, D.V., “Inception V3 Model-Based Approach for Detecting Defects on Steel Surfaces”, 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT 2024), pp. 331-335, 2024.
  23. Uday Kiran, G., Srilakshmi, V., Deepika, R., Vamsi, R.M., Srivarsha, T., “Intelligence for Image Classification”, Procedia Computer Science, Vol 230, pp. 669-678, 2023.
  24. Srilakshmi, V., Uday Kiran, G., Mounika, M., Akhil, V.N.S., Manasa, M., “Evolving Convolutional Neural Networks with Meta-Heuristics for Transfer Learning in Computer Vision”, Procedia Computer Science, Vol 230, pp. 658-668, 2023.
  25. Veerasekharreddy, B.V.S., Thatha, V.N., Uday Kiran, G., Raja Sekhar Reddy, N.V., Raju, Y.R., “Diet Recommendation System for Human Health Using Machine Learning”, 7th IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS 2023) – Proceedings, 2023.
  26. Kusumasri, B., Srilakshmi, V., Satyavada, S., Uday Kiran, G., “Crop Recommendation Application using Ensemble Classifiers”, 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) – Proceedings, 2023.
  27. Joy, S., Savadatti, M.B., Mukesh, T.B., Ahmed, M.M., Uday Kiran, G., “Real Time Road Lane Detection using Computer Vision Techniques in Python”, International Conference on Automation, Computing and Renewable Systems (ICACRS 2022) – Proceedings, pp. 1228-1232, 2022.
  28. Srilakshmi, V., Uday Kiran, G., Guntupalli, Y., Gayathri, C.N., Raju, A.S., “Automatic Visual Inspection – Defects Detection using CNN”, 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2022) – Proceedings, pp. 584-589, 2022.
  29. Uday Kiran, G., Srilakshmi, V., Nandhini, C.H., Gagan Chandra, B., Yamini Keerthi, K., “Estimating 3D Human Pose using Point Based Pose Estimation and Single Stage Method”, ICAN 2022 – 3rd International Conference on Computing, Analytics and Networks – Proceedings, 2022.
  30. Uday Kiran, G., Srilakshmi, V., Hussain, M.M., “Deep learning Support Vector Machine Application Management for Prediction Binding Elements”, 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE 2022), pp. 2493-2497, 2022.

 

Journals:

  1. Nagabotu, V., Sana, P. K. R., Bhavani, B. L., & Srikanth, D., “Adaptive feature fusion network for fetal head segmentation in ultrasound images,” IAES International Journal of Artificial Intelligence (IJ-AI), vol. 15, no. 1, pp. 841–851, Feb. 2026, doi: 10.11591/ijai.v15.i1.pp841-851.
  2. S. P. Reddy, G. Pradeep Reddy and A. Kumar, “Sleep Stage Classification Using Variational Mode Decomposition and Wrapper-Based Feature Selection From the Single Channel EEG,” in IEEE Access, vol. 13, pp. 117224-117238, 2025, doi: 10.1109/ACCESS.2025.3585963(SCI)
  3. S. Pavan Kumar Reddy and J. Harikiran,”Cast Shadow Angle Detection in Morphological Aerial Images using Faster R-CNN,” Treatment du Signal, Vol. 39, No. 4, pp. 1313-1321. https://doi.org/10.18280/ts.390424. (SCI).
  4. S. Pavan Kumar Reddy and Gokul Nath Kandasamy, “Cusp Pixel Labelling Model for Objects Outline Using R-CNN,” in IEEE Access, vol. 10, pp. 8883-8890, 2022, (doi: 10.1109/ACCESS.2021.3139896) (SCI).
  5. Pavan Kumar Reddy Sana, B. Lakshmi Bhavani, Donapati Srikanth, ” Adaptive feature fusion network for fetal head segmentation in ultrasound images ,” in IAES International Journal of Artificial Intelligence, vol. 15,issue 1 DoI: 10.11591/ijai.v15.i1.pp841-851(SCOPUS).
  6. S Pavankumar Reddy,Nagavarapu, Sateesh “An experimental research on outsourced data science for file seeking”,, 2019, 8(6 Special Issue 4), pp. 629–634.(SCOPUS)
  7. Mandru, Deenababu,Suhasini, Nittala Swapna, S Pavankumar Reddy “Data summarization based on multiple attributes in unreliable categorical data” International Journal of Recent Technology and Engineering,2019, 8(2 Special Issue 11), pp.2430–2434
  8. Reddy, Sana Pavan Kumar, Jonnadula Harikiran, and Bolem Sai Chandana. “Deep CNN Based Multi Object Detection And Tracking In Video Frames With Mean Distributed Feature Set.” Procedia Computer Science 235 (2024): 723-734.(SCOPUS)
  9. S. Pavan Kumar Reddy, V Manikyala Rao” A Survey on Deep Learning For Hand Written Recognition by Digit & Character”, an International Journal of Creative Research Thoughts (IJCRT)  ISSN: 2320-2882, Volume-8, Issue- 6, JUNE  2020
  10. S. Pavan Kumar Reddy ” An Experimental Research on Outsourced Data Science for File Seeking”, an International Journal of Innovative Technology and Exploring Engineering (IJITEE)  ISSN: 2278-3075, Volume-8, Issue- 6S4, April 2019
  11. S. Pavan Kumar Reddy” An Experimental Detail Analysis of Cloud Computing For Security & Privacy Issues”, an International Journal of Advanced Science and Technology (IJAST) ISSN:2005-4238E-ISSN:2207-6360 Vol-127-June-2019
  12. S. Pavan Kumar Reddy” Investigation Outcomes of IR Protocol Using Data Mining In Cloud”, an International Journal of Research in Advent Technology, Special Issue, NCRCEST 2019  E-ISSN: 2321-9637
  13. S. Pavan Kumar Reddy” Cloude: Data Mining Algorithm on Massive Datasets Through Hadoop”, an International Journal of Advanced in Management, Technology and Engineering Sciences Volume 8, Issue III, MARCH/2018 with ISSN NO : 2249-7455”
  14. S. Pavan Kumar Reddy, G.Sireesha and  U.Seshadri ” The Security Issues of Cloud Computing Over Normal & IT Sector”, an International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
  15. S. Pavan Kumar Reddy,M. D. Sirajul Huque, C.Surekha,Vidhisha Yadav ” The Common    Difference Between MIMO With Other Antennas”, CSCV01I1, August 2012 (https://doi.org/10.48550/arXiv.1207.0665)
  16. S. Pavan Kumar Reddy, Y. Ganesh Kumar Reddy, K. Chandra Mouli, U. Seshadri“Underwater Efficient Energy Communication in Wireless Sensor Networks”, (https://doi.org/10.48550/arXiv.1211.1451)
  17. S. Pavan Kumar Reddy, U Seshadri ” A Bootstrap Aggregating Technique on Link-Based Cluster Ensemble Approach for Categorical Data Clustering”, an International Journal of Computers & Technology,Vol 10, No 8 (https://doi.org/10.24297/ijct.v10i8.1468)

Conferences:

  1. S. P. K. Reddy, N.Bhargavi, A.Maheedhar, Ch.Mounika and K.Likith, “Explainable Brain Tumor Classification from MRI Images using Transfer Learning and Grad-CAM,” 2026 7th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India, 2026, pp. 1548-1554, doi: 10.1109/ICICV68925.2026.11554639.
  2. S. P. K. Reddy, M. Pasunuri, S. Malipatel and P. S. Nakka, “Boosted Inception Shared-Backbone using KD for Fine-Grained Animal Image Classification,” 2026 International Conference on Electronic Systems and Intelligent Computing (ICESIC), Chennai, India, 2026, pp. 171-176, doi: 10.1109/ICESIC67389.2026.11496439.
  3. S. P. K. Reddy, K. E. Priya, A. Chouhan and C. Mounika, “AI-Powered Clinical Decision Support System for Chronic Kidney Disease Staging and Dialysis Surveillance with Role-Specific Functions and Embedded Chatbot,” 2026 Fourth International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2026, pp. 1807-1812, doi: 10.1109/ICAISS68683.2026.11525760.
  4. J. Sunil Kumar Kumar, Chanumolu, Kiran Kumar, Sana Pavankumar Reddy”COVID-19 Detection Using Enhanced BiLSTM from Paper Based ECG Signals”Lecture Notes in Networks and Systems,2026, 1770 LNNS, pp. 267–278
  5. Reddy S. P.K., Aishu N., Harshavardhan T., Vamshi N.” Unified Representation for Image Generation and Segmentation” 16th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2025 volume 2 page no: 6740- 6750.
  6. Reddy S. P.K., Reddy M.H., Yashasree G., Abhishek R.” Real-Time Hate Speech Detection with Robust Dis-tilBERT-SVM” 16th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2025 volume 2 page no: 6993- 7000.
  7. S.Pavan Kumar Reddy, C Mounika, B Geervani, A Meghana Tomato Plant Leaf Diseases Classification usingEnhanced LSTM and BiLSTM,2025 International Conference on Intelligent Computing and Knowledge Extraction, Bangalore, India, 2025, DOI: 10.1109/ICICKE65317.2025.11136687.
  8. S.Pavan Kumar Reddy, M. Mounika and U. Nagavelli Edge Computing and Federated Learning:Enhancing Privacy and Efficiency in Cloud-Based Machine Learning Systems,2025International Conference on Next Generation Communication Information Processing (INCIP),Bangalore, India, 2025, pp. 339-345, doi: 10.1109/INCIP64058.2025.11020061
  9. S.pavan kumar Reddy, Mrs.M.Mounika,J. Harikiran and B. Sai Chandana Design of An Improved Model for Pothole Detection Using Multiple Scale CNNs and Deep Neural Decision Forest Ensemble Process, 2024 2nd International Conference on Signal Processing, Communication, Powerand Embedded System (SCOPES), Paralakhemundi Campus, Centurion University of Technology and Management, Odisha., India, 2024, pp. 1-6, doi: 10.1109/SCOPES64467.2024.10991311.
  10. s pavan kumar Reddy, U. Nagavelli, Y. S. Kiran, C. S. Kondoju, S. Bushmoni and A. Yashaswi, Deep Learning for Zero-Day Threat Detection and Mitigation, 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS), Bengaluru, India, 2024, pp. 1362-1368, doi:10.1109/ICICNIS64247.2024.10823270.
  11. S. P. Kumar Reddy, N. Sreevani, R. V, S. Babu, N. Singh and A. Kareem, Combining the AIML Model with Acoustic Signal to Evaluate the Bowel Sound, 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES), Lucknow, India, 2024, pp. 1-6, doi: 10.1109/IC3TES62412.2024.10877599.
  12. Nagavelli, Mrs Umarani, Niladri Sekhar Dey, and S. Pavan Kumar Reddy. “Energy-Efficiency Optimization in IoT Networks: Algorithms, Techniques, and Case Studies.” AIDE-2023 and PCES-2023 (2023): 414.
  13. Mounika, M., Reddy, S. P. K., Abhinaya, A., & Akshay, G. (2024, June). Quantum Machine Learning: Bridging the Gap Between Theory and Practice. In International Conference on Intelligent Computing and Big Data Analytics (pp. 89-105). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-74682-6_7
  14. Reddy, Sana Pavan Kumar, et al. Quantum-Inspired Machine Learning Models for Cyber Threat Intelligence. International Conference on Intelligent Computing and Big Data Analytics. Cham: Springer Nature Switzerland, 2024. https://link.springer.com/chapter/10.1007/978-3-031-74682-6_8
  15. Dr S.Pavan Kumar Reddy,Jakkula Suryateja,K.Shriya BushanAllapu ManaswiniB.Venkata Pavan Sai “CG-FER : A Hybrid CNN and GAN based Facial Expression Recognition”,International Conference on Automation, Computing and Renewable Systems [ICACRS 2024].
  16. Dr sana pavan kumar Reddy, Mrs.M.Mounika,J. Harikiran and B. Sai Chandana “Design of An  Improved Model for Pothole Detection Using Multiple Scale CNNs and Deep Neural Decision Forest Ensemble Process” , International Conference on Signal Processing, Communication, Power and Embedded Systems 19th – 21st December 2024 [SCOPES-2024].
  17. Dr sana pavan kumar Reddy,Mrs.M.Mounika,Mrs.Umarani Nagavelli “Edge Computing and Federated Learning: Enhancing Privacy and Efficiency in Cloud-Based Machine Learning Systems” [INCIP-2024].
  18. N. S. Dey, S. P. K. Reddy and L. G, “Serverless Computing: Architectural Paradigms, Challenges, and Future Directions in Cloud Technology,” 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2023, pp. 406-414, doi: 10.1109/I-SMAC58438.2023.10290253.
  19. S.Pavan Kumar Reddy, J.Harikiran “Deep CNN Based Multi Object Detection and Tracking In Video Frames With Mean Distributed Feature Set”. 2nd International conference on Machine Learning and Data Engineering (ICMLDE 2023).
  20. J. Harikiran, S. P. Kumar Reddy and B. S. Chandana, “Detection of Monkeypox Using Modified ResNet50,” 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 317-322, doi: 10.1109/ICIRCA57980.2023.10220681.
  21. S. P. Kumar Reddy, J. Harikiran and B. S. Chandana, “Multi Object Detection and Shadow Identification in Images: State-of-Art,” 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2022, pp. 1640-1650, doi: 10.1109/ICIRCA54612.2022.9985653.
  22. S. Pavan Kumar Reddy” Data Summarization Based on Multiple Attributes in Unreliable Categorical Data”, an International Conference on Computing Communication And Electrical Technologies (DOI:10.35940/ijrte.B1282.0982S1119) held on Aug 29-30th 2019.
  23. S. Pavan Kumar Reddy “CLOUDE: Huge Datasets Using HADOOP over Data mining”, an national conference on Innovations In Computation Communication and Cybernetics (I3C 2018) on Feb 2018 in BITCON-2018 Drug.
  1. Artificial intelligence and Machine Learning
  2. Deep Learning
  3. Computer Vision and Image Processing.
  4. Data Analytics
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  1. Artificial intelligence and Machine Learning
  2. Deep Learning
  3. Computer Vision and Image Processing.
  4. Data Analytics
  5. Operating Systems
  1. Artificial intelligence and Machine Learning
  2. Deep Learning
  3. Computer Vision and Image Processing.
  4. Data Analytics
  5. Operating Systems
  1. Artificial intelligence and Machine Learning
  2. Deep Learning
  3. Computer Vision and Image Processing.
  4. Data Analytics
  5. Operating Systems
  1. Artificial intelligence and Machine Learning
  2. Deep Learning
  3. Computer Vision and Image Processing.
  4. Data Analytics
  5. Operating Systems
  1. Artificial intelligence and Machine Learning
  2. Deep Learning
  3. Computer Vision and Image Processing.
  4. Data Analytics
  5. Operating Systems

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