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Publication search results
found 147 matches
- 2024
- Vinta Surendra Reddy, B. Lakshmi, Aruna safali Miriyala, Sai chaitanya Kumar Gunupudi:
Segmentation and Classification of Interstitial Lung Diseases Based on Hybrid Deep Learning Network Model. IEEE Access 12: 50444-50458 (2024) - Archana Praveen Kumar, Ashalatha Nayak, Manjula Shenoy K., Chaitanya, Kaustav Ghosh:
A Novel Framework for the Generation of Multiple Choice Question Stems Using Semantic and Machine-Learning Techniques. Int. J. Artif. Intell. Educ. 34(2): 332-375 (2024) - A. D. Sanchez, S. Chaitanya Kumar, Majid Ebrahim-Zadeh:
CUDA-based optical parametric oscillator simulator. Comput. Phys. Commun. 294: 108910 (2024) - Sai chaitanya Kumar Gunupudi, Reddi Kiran Kumar, Parish venkata Kumar Kuricheti, Nallagatla Raghavendra Sai, Madamachi Brahmaiah:
Deep residual convolutional neural Network: An efficient technique for intrusion detection system. Expert Syst. Appl. 238(Part B): 121912 (2024) - Djabeur Mohamed Seifeddine Zekrifa, Dharmanna Lamani, Gogineni Krishna Chaitanya, K. V. Kanimozhi, Akash Saraswat, D. Sugumar, D. Vetrithangam, Ashok Kumar Koshariya, Manthur Sreeramulu Manjunath, A. Rajaram:
Advanced deep learning approach for enhancing crop disease detection in agriculture using hyperspectral imaging. J. Intell. Fuzzy Syst. 46(2): 3281-3294 (2024) - Ranjita Das, Dipanwita Debnath, Partha Pakray, Naga Chaitanya Kumar:
A binary grey wolf optimizer to solve the scientific document summarization problem. Multim. Tools Appl. 83(8): 23737-23759 (2024) - Viswanatha Reddy G, B. S. N. V. Chaitanya, Prathyush P, Sumanth M, Mrinalini C, Dileep Kumar P, Snehasis Mukherjee:
DFW-PP: dynamic feature weighting-based popularity prediction for social media content. J. Supercomput. 80(4): 5708-5730 (2024) - Gayatri Tangirala, Srinivasu Garikipati, Manoj Kumar Meshram, Manikya Krishna Chaitanya Durbhakula, Virendra Kumar Sharma:
Quad element luna-shaped UWB-MIMO antenna with improved isolation and gain using novel decoupling networks. Wirel. Networks 30(4): 2557-2569 (2024) - Wesley Suttle, Vipul Kumar Sharma, Krishna Chaitanya Kosaraju, Seetharaman Sivaranjani, Ji Liu, Vijay Gupta, Brian M. Sadler:
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems. AISTATS 2024: 4420-4428 - Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor:
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL. AAMAS 2024: 2333-2335 - Kshitijaa Jaglan, Meher Chaitanya, Triansh Sharma, Abhijeeth Singam, Nidhi Goyal, Ponnurangam Kumaraguru, Ulrik Brandes:
Tight Sampling in Unbounded Networks. ICWSM 2024: 704-716 - Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron:
Impact of Image Data Splitting on the Performance of Automotive Perception Systems. SWQD 2024: 91-111 - Ananya Kapoor, Ayush Thapar, Chaitanya Shanker Jha, Chaudhry Indra Kumar:
A High Performance and Low Power Subthreshold Voltage Level Shifter Design. VLSID 2024: 623-627 - Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar Sinha, Srijita Das, Matthew E. Taylor:
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL. CoRR abs/2401.02991 (2024) - Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch:
Calibrating Large Language Models with Sample Consistency. CoRR abs/2402.13904 (2024) - Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio:
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation. CoRR abs/2403.00396 (2024) - Wesley A. Suttle, Vipul K. Sharma, Krishna Chaitanya Kosaraju, S. Sivaranjani, Ji Liu, Vijay Gupta, Brian M. Sadler:
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems. CoRR abs/2403.04007 (2024) - Chaitanya Arora, Utkarsh Venaik, Pavit Singh, Sahil Goyal, Jatin Tyagi, Shyama Goel, Ujjwal Singhal, Dhruv Kumar:
Analyzing LLM Usage in an Advanced Computing Class in India. CoRR abs/2404.04603 (2024) - 2023
- S. V. N. Sreenivasu, P. Santosh Kumar Patra, Vasujadevi Midasala, G. S. N. Murthy, Krishna Chaitanya Janapati, J. N. V. R. Swarup Kumar, Pala Mahesh Kumar:
ODQN-Net: Optimized Deep Q Neural Networks for Disease Prediction Through Tongue Image Analysis Using Remora Optimization Algorithm. Big Data 11(6): 452-465 (2023) - Kiran Kumar Patro, Allam Jaya Prakash, Umamaheswararao Sanapala, Chaitanya Kumar Marpu, Nagwan M. Abdel Samee, Maali Alabdulhafith, Pawel Plawiak:
An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques. BMC Bioinform. 24(1): 372 (2023) - Prabal Banerjee, Dushyant Behl, Palanivel A. Kodeswaran, Chaitanya Kumar, Sushmita Ruj, Sayandeep Sen, Dhinakaran Vinayagamurthy:
Accelerated Verifiable Fair Digital Exchange. Distributed Ledger Technol. Res. Pract. 2(3): 1-24 (2023) - Archana Praveen Kumar, Ashalatha Nayak, Manjula Shenoy K., Shashank Goyal, Chaitanya:
A novel approach to generate distractors for Multiple Choice Questions. Expert Syst. Appl. 225: 120022 (2023) - Jonghak Yuh, Yen-Lung Jason Li, Heguang Li, Yoshihiro Oyama, Cynthia Hsu, Pradeep Anantula, Gwang Yeong Stanley Jeong, Anirudh Amarnath, Siddhesh Darne, Sneha Bhatia, Tianyu Tang, Aditya Arya, Naman Rastogi, Naoki Ookuma, Hiroyuki Mizukoshi, Alex Yap, Demin Wang, Steve Kim, Yonggang Wu, Min Peng, Jason Lu, Tommy Ip, Seema Malhotra, Taekeun Han, Masatoshi Okumura, Jiwen Liu, Jeongduk John Sohn, Hardwell Chibvongodze, Muralikrishna Balaga, Akihiro Matsuda, Chen Chen, Indra K. V, V. S. N. K. Chaitanya G., Venky Ramachandra, Yosuke Kato, Ravi Kumar, Huijuan Wang, Farookh Moogat, In-Soo Yoon, Kazushige Kanda, Takahiro Shimizu, Noboru Shibata, Kosuke Yanagidaira, Takuyo Kodama, Ryo Fukuda, Yasuhiro Hirashima, Mitsuhiro Abe:
A 1-Tb 4-b/cell 4-Plane 162-Layer 3-D Flash Memory With 2.4-Gb/s IO Interface. IEEE J. Solid State Circuits 58(1): 316-328 (2023) - Chaitanya Kumar, Shanthi Pavan:
Power-Noise Trade-Offs in Continuous-Time Pipelined ADCs and Active Filters. IEEE Trans. Circuits Syst. I Regul. Pap. 70(10): 3832-3842 (2023) - Chaitanya Kharyal, Tanmay Kumar Sinha, Sai Krishna Gottipati, Fatemeh Abdollahi, Srijita Das, Matthew E. Taylor:
Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning. AAMAS 2023: 2457-2459 - Aryan Karki, Chaitanya Hardikar, M. Akshay Kumar, Sujit Das:
Improved ANFIS Model Based on Confinement Optimized PSO to Predict the Air Quality of Delhi, India. FUZZ 2023: 1-6 - Vamsi Krishna Chidipothu, Lakshman kumar Kanulla, Chaitanya Kiran Pandey, Sandeep Kumar Davuluri, Mohit Tiwari, Devesh Pratap Singh:
Design and Implementation of Block Chain with Cybersecurity Scheme for Fog Based Internet of Things. IC3I 2023: 1409-1415 - Pochamreddy Mukesh Reddy, Vivek Kumar Verma, Mudunuri Venkata Chaitanya Varma:
Optimizing Medical Image Report Generation with Varied Attention Mechanisms. IC3I 2023: 2137-2143 - Chaitanya Kolluru, Akhil G. V, S. Siva Priyanka, Krishna Reddy D, Aruru Sai Kumar:
Development of Face Recognition-Based Smart Door Lock System with Remote Servo Control Authentication. ICCCNT 2023: 1-6 - R. Prasanna Kumar, G. Bharathi Mohan, Yamani Kakarla, Jayaprakash S. L, Kolla Gnapika Sindhu, Tekumudi Vivek Sai Surya Chaitanya, Bachu Ganesh, Nunna Hasmitha Krishna:
Sarcasm Detection in Telugu and Tamil: An Exploration of Machine Learning and Deep Neural Networks. ICCCNT 2023: 1-7
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