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ORCIDAnwesh Reddy Paduri
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2020 – today
- 2024
[i15]B. Rajesh, Keerthana V, Narayana Darapaneni, Anwesh Reddy Paduri:
Music Recommendation Based on Facial Emotion Recognition. CoRR abs/2404.04654 (2024)- [i14]Roopa Mayya, Vivekanand Venkataraman, Anwesh Reddy Paduri, Narayana Darapaneni:
A Novel Bi-LSTM And Transformer Architecture For Generating Tabla Music. CoRR abs/2404.05765 (2024) - [i13]Narayana Darapaneni, Ashish K, Ullas M. S, Anwesh Reddy Paduri:
Forecasting Electric Vehicle Battery Output Voltage: A Predictive Modeling Approach. CoRR abs/2404.05776 (2024) - 2023
- [c36]Lohith Kumar, Debajit Choudhury, Anwesh Reddy Paduri, Senthil Kumar, Devashis Sahoo, Jalaja Murthy, Narayana Darapaneni:
Electric Vehicle (EV) Preventive Diagnostic System: Solution for Thermal Management of Battery packs using AIOT. CCWC 2023: 41-46 - [c35]Ashish Jain, Sakthivel Durairaj, Anwesh Reddy Paduri, Praveen Krishnan, Pramod Chalaiah, Jaideep Chanda, Narayana Darapaneni:
Career Support Platform for Older Adults Powered by AI. CCWC 2023: 47-53 - [c34]Guduru Lakshmi Vara Prasad, Angad Deep Singh Nanda, Narayana Darapaneni, Avantika Bunga, Sri Keerthi Tadepalli, Anwesh Reddy Paduri, Sumit Kishore, Yogesh Saini:
Machine Learning Based Cost prediction for Acquiring New Customers. CCWC 2023: 866-872 - [c33]Prem Anand Ramalingam, Nikhat Fathima, P. Supriya, Prathish Shetty, Mainak Sanyal, P. Yeshaswini, Mukesh Rao, Narayana Darapaneni, Anwesh Reddy Paduri:
Data Complexity for Identifying Suitable Algorithms. CCWC 2023: 955-961 - [c32]Dinu Antony
, Sumit Abhishek, Sujata Singh, Siddu Kodagali, Narayana Darapaneni, Mukesh Rao, Anwesh Reddy Paduri, Sudha BG:
A Survey of Advanced Methods for Efficient Text Summarization. CCWC 2023: 962-968 - [c31]Tippu Sulthan Shaik, Jaya Bharath, Narayana Darapaneni, Sumit Patra, S. Aditya Vishal, Sridhar Manthripragada, Anil Kumar Kagita, Mukesh Rao, Anwesh Reddy Paduri:
A Study of Text Summarization in the Medical Domain using BERT and its Variants. CCWC 2023: 969-975 - [c30]Thirumal Raman, Sravan Kumar, Anwesh Reddy Paduri, Gaurav Mahto, Sapna Jain, Bindhu K, Narayana Darapaneni:
CNN Based Study of Improvised Food Image Classification. CCWC 2023: 1051-1057 - [c29]Vinay Singh, Aditya Manay, Raj Prakash Singh, Shaurya Tomer, Chandan A, Narayana Darapaneni, Vishnu Manoj, Aashi Rastogi, Anwesh Reddy Paduri:
Medical Radiology Image processing for Pneumonia Detection Using Convolutional Neural Network. CCWC 2023: 1058-1064 - [c28]Talgan Kumar Rao, Narayana Darapaneni, Anwesh Reddy Paduri, Amarnath G. S, Arun Kumar, Guruprasad Ps:
Insider Threat Detection: Using Classification Models. IC3 2023: 307-312 - [c27]Bharath Raj Anand Kumar, Sheetal Katiyar, Prasanth Lingada, Karunakar Mattaparthi, R. Krishna, Gnana Prakash, Dileep Vuppaladhadiam, Narayana Darapaneni, Anwesh Reddy Paduri:
Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting. MIWAI 2023: 255-264 - [c26]Narayana Darapaneni, Anwesh Reddy Paduri, Jayesh Gulani, Sanath Aithu, M. M. Santhosh, Shaji Varghese:
Nuclei Segmentation Approach for Computer Aided Diagnosis. MIWAI 2023: 368-379 - [c25]Narayana Darapaneni, Anwesh Reddy Paduri, Umesh Tank, Balassubramamian KanthaSamy, Ashish Ranjan, R. Krisnakumar:
Conversational AI: A Study on Capabilities and Limitations of Dialogue Based System. MIWAI 2023: 503-512 - [c24]Swati Agarwal, Chetna Bhardwaj, Glory Gatkamani, Raghav Gururaj, Narayana Darapaneni, Anwesh Reddy Paduri:
AI Based Employee Attrition Prediction Tool. MIWAI 2023: 580-588 - [c23]Narayana Darapaneni, Anwesh Reddy Paduri, B. S. Sunil Kumar, S. Nivetha, Varadharajan Damotharan, Suman Sourabh, S. R. Abhishek, V. Albert Princy:
Redefining the World of Medical Image Processing with AI - Automatic Clinical Report Generation to Support Doctors. MIWAI 2023: 704-713 - [c22]Narayana Darapaneni, Anwesh Reddy Paduri, Sourav Kundu, Lokesh Jayanna, N. Balasubramaniam, M. P. Manohar, B. Rajesh, Sudhakar Moses Munnangi:
Demand and Price Forecasting Using Deep Learning Algorithms. MIWAI 2023: 735-746 - 2022
- [i12]Narayana Darapaneni, Prashant Kumar, Nikhil Malhotra, Vigneswaran Sundaramurthy, Abhaya Thakur, Shivam Chauhan, Krishna Chaitanya Thangeda, Anwesh Reddy Paduri:
Detecting key Soccer match events to create highlights using Computer Vision. CoRR abs/2204.02573 (2022) - [i11]Narayana Darapaneni, Arjun Tanndalam, Mohit Gupta, Neeta Taneja, Prabu Purushothaman, Swati Eswar, Anwesh Reddy Paduri, Thangaselvi Arichandrapandian:
Banana Sub-Family Classification and Quality Prediction using Computer Vision. CoRR abs/2204.02581 (2022) - [i10]Narayana Darapaneni, Vaibhav Kherde, Kameswara Rao, Deepali Nikam, Swanand Katdare, Anima Shukla, Anagha Lomate, Anwesh Reddy Paduri:
Contextual Attention Mechanism, SRGAN Based Inpainting System for Eliminating Interruptions from Images. CoRR abs/2204.02591 (2022) - [i9]Narayana Darapaneni, Shrawan Kumar, Selvarangan Krishnan, Hemalatha K, Arunkumar Rajagopal, Nagendra, Anwesh Reddy Paduri:
Implementing a Real-Time, YOLOv5 based Social Distancing Measuring System for Covid-19. CoRR abs/2204.03350 (2022) - [i8]Narayana Darapaneni, Jai Arora, MoniShankar Hazra, Naman Vig, Simrandeep Singh Gandhi, Saurabh Gupta, Anwesh Reddy Paduri:
Detection of Distracted Driver using Convolution Neural Network. CoRR abs/2204.03371 (2022) - [i7]Narayana Darapaneni, Ashish Ranjan, Dany Bright, Devendra Trivedi, Ketul Kumar, Vivek Kumar, Anwesh Reddy Paduri:
Pneumonia Detection in Chest X-Rays using Neural Networks. CoRR abs/2204.03618 (2022) - [i6]Narayana Darapaneni, Suma Maram, Harpreet Singh, Syed Subhani, Mandeep Kour, Sathish Nagam, Anwesh Reddy Paduri:
Prediction of COVID-19 using chest X-ray images. CoRR abs/2204.03849 (2022) - [i5]Narayana Darapaneni, Anwesh Reddy Paduri, Himank Sharma, Milind Manjrekar, Nutan Hindlekar, Pranali Bhagat, Usha Aiyer, Yogesh Agarwal:
Stock Price Prediction using Sentiment Analysis and Deep Learning for Indian Markets. CoRR abs/2204.05783 (2022) - [i4]Narayana Darapaneni, Rajiv Tiwari, Anwesh Reddy Paduri, Suman Saurav, Rohit Chaoji, Sohil:
Farmer-Bot: An Interactive Bot for Farmers. CoRR abs/2204.07032 (2022) - [i3]Narayana Darapaneni, Selvakumar Raj, Raghul V, Venkatesh Sivaraman, Sunil Mohan, Anwesh Reddy Paduri:
LSTM-RASA Based Agri Farm Assistant for Farmers. CoRR abs/2204.09717 (2022) - [i2]Narayana Darapaneni, Chandrashekhar Bhakuni, Ujjval Bhatt, Khamir Purohit, Vikas Sardna, Prabir Chakraborty, Anwesh Reddy Paduri:
Matching Writers to Content Writing Tasks. CoRR abs/2204.09718 (2022) - 2021
- [c21]Abhinandan Chiney, Anwesh Reddy Paduri, Narayana Darapaneni, Santosh Kulkarni, Manish Kadam, Ishan Kohli, Malarvizhi Subramaniyan:
Handwritten Data Digitization Using an Anchor based Multi-Channel CNN (MCCNN) Trained on a Hybrid Dataset (h-EH). ACLING 2021: 175-182 - [c20]Narayana Darapaneni, Shyamal Dhua, Nikita Khare, Kumar Ayush, Karthikeyan N, Supriya Ghodke, Abhishek Rajput, Saswat P. Beurik, Anwesh Reddy Paduri:
Forecasting Vaccination Drive In India for Herd Immunity using SIR and Prophet Model. AIIoT 2021: 21-27 - [c19]Narayana Darapaneni, Nandan Garimella, Santhosh Vadlamani, Sulekha Dileep, Swaroop Manchala, Anwesh Reddy Paduri, Dinakar Komanduri, Prajwal Nagisetti:
Food Temperature Analysis and Forecasting. AIIoT 2021: 143-149 - [c18]Narayana Darapaneni, Dhirendra Singh, Sharat Chandra, Anwesh Reddy Paduri, Neeraj Kilhore, Shivangi Chopra, Akash Srivastav, Rashmi Tomer, Sudhershan Sureshrao Deshmukh:
Activity & Emotion Detection of Recognized kids in CCTV Video for Day Care Using SlowFast & CNN. AIIoT 2021: 268-274 - [c17]Narayana Darapaneni, Anindya Sil, Balaji Kagiti, S. Krishna Kumar, N. B. Ramanathan, S. B. VasanthaKumara, Anwesh Reddy Paduri, Abdul Manuf:
Deep Convolutional Neural Network (CNN) Design for Pathology Detection of COVID-19 in Chest X-Ray Images. CD-MAKE 2021: 211-223 - [i1]Sandipan Basu, Aravind Gaddala, Pooja Chetan, Garima Tiwari, Narayana Darapaneni, Sadwik Parvathaneni, Anwesh Reddy Paduri:
Building a Question and Answer System for News Domain. CoRR abs/2105.05744 (2021) - 2020
- [c16]Narayana Darapaneni, A. Jagannathan, Vigneshwaran Natarajan, Guruprasadh Vadakkupattu Swaminathan, S. Subramanian, Anwesh Reddy Paduri:
Semantic Segmentation of Solar PV Panels and Wind Turbines in Satellite Images Using U-Net. ICIIS 2020: 7-12 - [c15]Narayana Darapaneni, Aruna Kumari Evoori, Vijaya Babu Vemuri, Thangaselvi Arichandrapandian, G. Karthikeyan, Anwesh Reddy Paduri, Dhivakar Babu, Jayadev Madhavan:
Automatic Face Detection and Recognition for Attendance Maintenance. ICIIS 2020: 236-241 - [c14]Narayana Darapaneni, B. Krishnamurthy, Anwesh Reddy Paduri:
Convolution Neural Networks: A Comparative Study for Image Classification. ICIIS 2020: 327-332 - [c13]Narayana Darapaneni, Amanpreet Singh, Anwesh Reddy Paduri, Aparna Ranjith, Abhay Kumar, Divya Dixit, Suparna Khan:
A Machine Learning Approach to Predicting Covid-19 Cases Amongst Suspected Cases and Their Category of Admission. ICIIS 2020: 375-380 - [c12]Narayana Darapaneni, Shweta Ranjane, Uday Shankar Pallavajula Satya, D. Krishna prashanth, M. Harichandan Reddy, Anwesh Reddy Paduri, Aravind Kumar Adhi, Vachaspathi Madabhushanam:
COVID 19 Severity of Pneumonia Analysis Using Chest X Rays. ICIIS 2020: 381-386 - [c11]Narayana Darapaneni, Arjun Panwar, Anwesh Reddy Paduri, Ankit Patel, Chaitanya Shah, Jigar Gada, Milind Majrekar:
COVID-19 Infection Dynamics for India-Forecasting the Disease using SIR models. ICIIS 2020: 387-392 - [c10]Narayana Darapaneni, Tushar Gupta, Anwesh Reddy Paduri, Arpit Banerji, Sanjay Sharma, Dishant Sharma, Nitin Gupta:
Inception C-Net(IC-Net): Altered Inception Module for Detection of Covid-19 and Pneumonia using Chest X-rays. ICIIS 2020: 393-398 - [c9]Narayana Darapaneni, Malarvizhi Subramaniyan, Aafia Mariam, Sai Venkateshwaran, Nandini Ravi, Anwesh Reddy Paduri, Sumathi Gunasekaran, Asha:
Handwritten Form Recognition Using Artificial Neural Network. ICIIS 2020: 420-424 - [c8]Narayana Darapaneni, Arjun Makar, Sumathi Gunasekaran, Trapti Kalra, Bhanu Jain, Anwesh Reddy Paduri, Divakar Joshi, Manu Jain:
Universal Text Scanner Solution. ICIIS 2020: 431-436 - [c7]Narayana Darapaneni, Amitavo Basu, Sanket Savla, Raamanathan Gururajan, Najmus Saquib, Sudarshan Singhavi, Aishwarya Kale, Pratik Bid, Anwesh Reddy Paduri:
Automated Portfolio Rebalancing using Q-learning. UEMCON 2020: 596-602 - [c6]Narayana Darapaneni, Deepali Nikam, Anagha Lomate, Vaibhav Kherde, Swanand Katdare, Anwesh Reddy Paduri, Kameswara Rao, Anima Shukla:
Coronavirus Outburst Prediction in India using SEIRD, Logistic Regression and ARIMA Model. UEMCON 2020: 649-655 - [c5]Narayana Darapaneni, Rahul Choubey, Pratik Salvi, Ankur Pathak, Sajal Suryavanshi, Anwesh Reddy Paduri:
Facial Expression Recognition and Recommendations Using Deep Neural Network with Transfer Learning. UEMCON 2020: 668-673 - [c4]Narayana Darapaneni, Kiran Mogeraya, Shubham Mandal, Ashwin Narayanan, Prasanna Siva, Anwesh Reddy Paduri, Faisal Khan, Praful Mohan Agadi:
Computer Vision based License Plate Detection for Automated Vehicle Parking Management System. UEMCON 2020: 800-805 - [c3]Narayana Darapaneni, Christopher Bellarmine, Anwesh Reddy Paduri, Sujana Entoori, Abir Kumar, S. V. Vybhav, Koushik Mondal:
Movie Success Prediction Using ML. UEMCON 2020: 869-874 - [c2]Narayana Darapaneni, Amol Kobal, Rohit Chaoji, Rajiv Tiwari, Suman Saurav, Anwesh Reddy Paduri:
Effects of Lockdown and Post Lockdown on Covid19 cases across India using Supervised Learning Techniques. UEMCON 2020: 881-887 - [c1]Narayana Darapaneni, Deepak Reddy, Anwesh Reddy Paduri, Pooja Acharya, H. S. Nithin:
Forecasting of COVID-19 in India Using ARIMA Model. UEMCON 2020: 894-899
Coauthor Index
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last updated on 2024-10-07 22:17 CEST by the dblp team
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