Narayana Darapaneni - researchr alias

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Viewing Publication 1 - 36 from 36

2023

AI Based Employee Attrition Prediction ToolSwati Agarwal, Chetna Bhardwaj, Glory Gatkamani, Raghav Gururaj, Narayana Darapaneni, Anwesh Reddy Paduri. miwai 2023: 580-588 [doi]

A Survey of Advanced Methods for Efficient Text SummarizationDinu Antony, Sumit Abhishek, Sujata Singh, Siddu Kodagali, Narayana Darapaneni, Mukesh Rao, Anwesh Reddy Paduri, Sudha BG. ccwc 2023: 962-968 [doi]

Nuclei Segmentation Approach for Computer Aided DiagnosisNarayana Darapaneni, Anwesh Reddy Paduri, Jayesh Gulani, Sanath Aithu, M. M. Santhosh, Shaji Varghese. miwai 2023: 368-379 [doi]

Demand and Price Forecasting Using Deep Learning AlgorithmsNarayana Darapaneni, Anwesh Reddy Paduri, Sourav Kundu, Lokesh Jayanna, N. Balasubramaniam, M. P. Manohar, B. Rajesh, Sudhakar Moses Munnangi. miwai 2023: 735-746 [doi]

Conversational AI: A Study on Capabilities and Limitations of Dialogue Based SystemNarayana Darapaneni, Anwesh Reddy Paduri, Umesh Tank, Balassubramamian KanthaSamy, Ashish Ranjan, R. Krisnakumar. miwai 2023: 503-512 [doi]

Redefining the World of Medical Image Processing with AI - Automatic Clinical Report Generation to Support DoctorsNarayana Darapaneni, Anwesh Reddy Paduri, B. S. Sunil Kumar, S. Nivetha, Varadharajan Damotharan, Suman Sourabh, S. R. Abhishek, V. Albert Princy. miwai 2023: 704-713 [doi]

Career Support Platform for Older Adults Powered by AIAshish Jain, Sakthivel Durairaj, Anwesh Reddy Paduri, Praveen Krishnan, Pramod Chalaiah, Jaideep Chanda, Narayana Darapaneni. ccwc 2023: 47-53 [doi]

Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market ForecastingBharath Raj Anand Kumar, Sheetal Katiyar, Prasanth Lingada, Karunakar Mattaparthi, R. Krishna, Gnana Prakash, Dileep Vuppaladhadiam, Narayana Darapaneni, Anwesh Reddy Paduri. miwai 2023: 255-264 [doi]

Electric Vehicle (EV) Preventive Diagnostic System: Solution for Thermal Management of Battery packs using AIOTLohith Kumar, Debajit Choudhury, Anwesh Reddy Paduri, Senthil Kumar, Devashis Sahoo, Jalaja Murthy, Narayana Darapaneni. ccwc 2023: 41-46 [doi]

Machine Learning Based Cost prediction for Acquiring New CustomersGuduru Lakshmi Vara Prasad, Angad Deep Singh Nanda, Narayana Darapaneni, Avantika Bunga, Sri Keerthi Tadepalli, Anwesh Reddy Paduri, Sumit Kishore, Yogesh Saini. ccwc 2023: 866-872 [doi]

Data Complexity for Identifying Suitable AlgorithmsPrem Anand Ramalingam, Nikhat Fathima, P. Supriya, Prathish Shetty, Mainak Sanyal, P. Yeshaswini, Mukesh Rao, Narayana Darapaneni, Anwesh Reddy Paduri. ccwc 2023: 955-961 [doi]

CNN Based Study of Improvised Food Image ClassificationThirumal Raman, Sravan Kumar, Anwesh Reddy Paduri, Gaurav Mahto, Sapna Jain, Bindhu K, Narayana Darapaneni. ccwc 2023: 1051-1057 [doi]

Insider Threat Detection: Using Classification ModelsTalgan Kumar Rao, Narayana Darapaneni, Anwesh Reddy Paduri, Amarnath G. S, Arun Kumar, Guruprasad Ps. ic3 2023: 307-312 [doi]

A Study of Text Summarization in the Medical Domain using BERT and its VariantsTippu Sulthan Shaik, Jaya Bharath, Narayana Darapaneni, Sumit Patra, S. Aditya Vishal, Sridhar Manthripragada, Anil Kumar Kagita, Mukesh Rao, Anwesh Reddy Paduri. ccwc 2023: 969-975 [doi]

Medical Radiology Image processing for Pneumonia Detection Using Convolutional Neural NetworkVinay Singh, Aditya Manay, Raj Prakash Singh, Shaurya Tomer, Chandan A, Narayana Darapaneni, Vishnu Manoj, Aashi Rastogi, Anwesh Reddy Paduri. ccwc 2023: 1058-1064 [doi]

2021

h-EH)Abhinandan Chiney, Anwesh Reddy Paduri, Narayana Darapaneni, Santosh Kulkarni, Manish Kadam, Ishan Kohli, Malarvizhi Subramaniyan. acling 2021: 175-182 [doi]

Deep Convolutional Neural Network (CNN) Design for Pathology Detection of COVID-19 in Chest X-Ray ImagesNarayana Darapaneni, Anindya Sil, Balaji Kagiti, S. Krishna Kumar, N. B. Ramanathan, S. B. VasanthaKumara, Anwesh Reddy Paduri, Abdul Manuf. cdmake 2021: 211-223 [doi]

Food Temperature Analysis and ForecastingNarayana Darapaneni, Nandan Garimella, Santhosh Vadlamani, Sulekha Dileep, Swaroop Manchala, Anwesh Reddy Paduri, Dinakar Komanduri, Prajwal Nagisetti. aiiot 2021: 143-149 [doi]

Activity & Emotion Detection of Recognized kids in CCTV Video for Day Care Using SlowFast & CNNNarayana Darapaneni, Dhirendra Singh, Sharat Chandra, Anwesh Reddy Paduri, Neeraj Kilhore, Shivangi Chopra, Akash Srivastav, Rashmi Tomer, Sudhershan Sureshrao Deshmukh. aiiot 2021: 268-274 [doi]

Forecasting Vaccination Drive In India for Herd Immunity using SIR and Prophet ModelNarayana Darapaneni, Shyamal Dhua, Nikita Khare, Kumar Ayush, Karthikeyan N, Supriya Ghodke, Abhishek Rajput, Saswat P. Beurik, Anwesh Reddy Paduri. aiiot 2021: 21-27 [doi]

2020

Effects of Lockdown and Post Lockdown on Covid19 cases across India using Supervised Learning TechniquesNarayana Darapaneni, Amol Kobal, Rohit Chaoji, Rajiv Tiwari, Suman Saurav, Anwesh Reddy Paduri. uemcom 2020: 881-887 [doi]

Facial Expression Recognition and Recommendations Using Deep Neural Network with Transfer LearningNarayana Darapaneni, Rahul Choubey, Pratik Salvi, Ankur Pathak, Sajal Suryavanshi, Anwesh Reddy Paduri. uemcom 2020: 668-673 [doi]

Automated Portfolio Rebalancing using Q-learningNarayana Darapaneni, Amitavo Basu, Sanket Savla, Raamanathan Gururajan, Najmus Saquib, Sudarshan Singhavi, Aishwarya Kale, Pratik Bid, Anwesh Reddy Paduri. uemcom 2020: 596-602 [doi]

Handwritten Form Recognition Using Artificial Neural NetworkNarayana Darapaneni, Malarvizhi Subramaniyan, Aafia Mariam, Sai Venkateshwaran, Nandini Ravi, Anwesh Reddy Paduri, Sumathi Gunasekaran, Asha. iciis 2020: 420-424 [doi]

COVID 19 Severity of Pneumonia Analysis Using Chest X RaysNarayana Darapaneni, Shweta Ranjane, Uday Shankar Pallavajula Satya, D. Krishna prashanth, M. Harichandan Reddy, Anwesh Reddy Paduri, Aravind Kumar Adhi, Vachaspathi Madabhushanam. iciis 2020: 381-386 [doi]

Forecasting of COVID-19 in India Using ARIMA ModelNarayana Darapaneni, Deepak Reddy, Anwesh Reddy Paduri, Pooja Acharya, H. S. Nithin. uemcom 2020: 894-899 [doi]

Coronavirus Outburst Prediction in India using SEIRD, Logistic Regression and ARIMA ModelNarayana Darapaneni, Deepali Nikam, Anagha Lomate, Vaibhav Kherde, Swanand Katdare, Anwesh Reddy Paduri, Kameswara Rao, Anima Shukla. uemcom 2020: 649-655 [doi]

Convolution Neural Networks: A Comparative Study for Image ClassificationNarayana Darapaneni, B. Krishnamurthy, Anwesh Reddy Paduri. iciis 2020: 327-332 [doi]

Movie Success Prediction Using MLNarayana Darapaneni, Christopher Bellarmine, Anwesh Reddy Paduri, Sujana Entoori, Abir Kumar, S. V. Vybhav, Koushik Mondal. uemcom 2020: 869-874 [doi]

Automatic Face Detection and Recognition for Attendance MaintenanceNarayana Darapaneni, Aruna Kumari Evoori, Vijaya Babu Vemuri, Thangaselvi Arichandrapandian, G. Karthikeyan, Anwesh Reddy Paduri, Dhivakar Babu, Jayadev Madhavan. iciis 2020: 236-241 [doi]

Universal Text Scanner SolutionNarayana Darapaneni, Arjun Makar, Sumathi Gunasekaran, Trapti Kalra, Bhanu Jain, Anwesh Reddy Paduri, Divakar Joshi, Manu Jain. iciis 2020: 431-436 [doi]

Semantic Segmentation of Solar PV Panels and Wind Turbines in Satellite Images Using U-NetNarayana Darapaneni, A. Jagannathan, Vigneshwaran Natarajan, Guruprasadh Vadakkupattu Swaminathan, S. Subramanian, Anwesh Reddy Paduri. iciis 2020: 7-12 [doi]

Inception C-Net(IC-Net): Altered Inception Module for Detection of Covid-19 and Pneumonia using Chest X-raysNarayana Darapaneni, Tushar Gupta, Anwesh Reddy Paduri, Arpit Banerji, Sanjay Sharma, Dishant Sharma, Nitin Gupta. iciis 2020: 393-398 [doi]

Computer Vision based License Plate Detection for Automated Vehicle Parking Management SystemNarayana Darapaneni, Kiran Mogeraya, Shubham Mandal, Ashwin Narayanan, Prasanna Siva, Anwesh Reddy Paduri, Faisal Khan, Praful Mohan Agadi. uemcom 2020: 800-805 [doi]

A Machine Learning Approach to Predicting Covid-19 Cases Amongst Suspected Cases and Their Category of AdmissionNarayana Darapaneni, Amanpreet Singh, Anwesh Paduri, Aparna Ranjith, Abhay Kumar, Divya Dixit, Suparna Khan. iciis 2020: 375-380 [doi]

COVID-19 Infection Dynamics for India-Forecasting the Disease using SIR modelsNarayana Darapaneni, Arjun Panwar, Anwesh Reddy Paduri, Ankit Patel, Chaitanya Shah, Jigar Gada, Milind Majrekar. iciis 2020: 387-392 [doi]

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