- 2024
- Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar:
Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning. Comput. Methods Programs Biomed. 243: 107864 (2024) - Ankita Biswal, Chhabi Rani Panigrahi, Anukampa Behera, Sarmistha Nanda, Tien-Hsiung Weng, Bibudhendu Pati, Chandan Malu:
Activity recognition for elderly care using genetic search. Comput. Sci. Inf. Syst. 21(1): 95-116 (2024) - Manish Sharma, Ankit A. Bhurane, U. Rajendra Acharya:
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features. Expert Syst. J. Knowl. Eng. 41(5) (2024) - Varun Gupta, Ankit Yadav, Dinesh Kumar Vishwakarma:
HumanPoseNet: An all-transformer architecture for pose estimation with efficient patch expansion and attentional feature refinement. Expert Syst. Appl. 244: 122894 (2024) - Saumya Patel, Ankita Vaish:
DNA coding and chaos based image encryption using compressive sensing in MSVD domain. Multim. Tools Appl. 83(14): 40733-40751 (2024) - Ankita Raghuvanshi, Muskan Budhia, K. Abhimanyu Kumar Patro, Bibhudendra Acharya:
FSR-SPD: an efficient chaotic multi-image encryption system based on flip-shift-rotate synchronous-permutation-diffusion operation. Multim. Tools Appl. 83(19): 57011-57057 (2024) - Ankit Gupta, Ida-Maria Sintorn:
Efficient high-resolution template matching with vector quantized nearest neighbour fields. Pattern Recognit. 151: 110386 (2024) - Ankita Dey, Sreeraman Rajan, George Xiao, Jianping Lu:
Radar-Based Human Activity Recognition Using Multidomain Multilevel Fused Patch-Based Learning. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - Mukesh Patidar, Ankit Jain, Keshav Patidar, Surendra Kumar Shukla, Ali H. Majeed, Namit Gupta, Nilesh Patidar:
An ultra-dense and cost-efficient coplanar RAM cell design in quantum-dot cellular automata technology. J. Supercomput. 80(5): 6989-7027 (2024) - Ankit Chouhan, Ashok Parmar, Kamal M. Captain, Pawan Maurya, Jignesh R. Patel:
Enhancing Cooperative Spectrum Sensing in Cognitive Radio Systems: Mitigating Byzantine Attacks with a Weighted Algorithm. COMSNETS 2024: 465-469 - Shah Riddhi, Ashok Parmar, Kamal M. Captain, Divya K. A, Ankit Chouhan, Jignesh R. Patel:
A Dual-Stream Convolution-GRU-Attention Network for Automatic Modulation Classification. COMSNETS 2024: 720-724 - Sandeep Kumar Goel, Ankita Patidar, Frank Lee:
Scan Design Using Unsupervised Machine Learning to Reduce Functional Timing and Area Impact. ETS 2024: 1-4 - Kanchan Joshi, Anuj Gupta, Javier González, Ankit Kumar, Krishna Kanth Reddy, Arun George, Simon Andreas Frimann Lund, Jens Axboe:
I/O Passthru: Upstreaming a flexible and efficient I/O Path in Linux. FAST 2024: 107-121 - Renukswamy Chikkamath, Ankit Sharma, Christoph Hewel, Markus Endres:
ChatGPT vs. Google Gemini: Assessing AI Frontiers for Patent Prior Art Search Using European Search Reports. SemTech4STLD@ESWC 2024: 14-25 - Ankit Bende, Simranjeet Singh, Chandan Kumar Jha, Tim Kempen, Felix Cüppers, Christopher Bengel, Andre Zambanini, Dennis Nielinger, Sachin B. Patkar, Rolf Drechsler, Rainer Waser, Farhad Merchant, Vikas Rana:
Experimental Validation of Memristor-Aided Logic Using 1T1R TaOx RRAM Crossbar Array. VLSID 2024: 565-570 - Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan:
Linking convolutional kernel size to generalization bias in face analysis CNNs. WACV 2024: 4693-4703 - Akhil Vaid, Joshua Lampert, Juhee Lee, Ashwin Sawant, Donald Apakama, Ankit Sakhuja, Ali Soroush, Denise Lee, Isotta Landi, Nicole Bussola, Ismail Nabeel, Robbie Freeman, Patricia H. Kovatch, Brendan G. Carr, Benjamin S. Glicksberg, Edgar Argulian, Stamatios Lerakis, Monica Kraft, Alexander Charney, Girish N. Nadkarni:
Generative Large Language Models are autonomous practitioners of evidence-based medicine. CoRR abs/2401.02851 (2024) - Satpreet Harcharan Singh, Kevin Jiang, Kanchan Bhasin, Ashutosh Sabharwal, Nidal Moukaddam, Ankit B. Patel:
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews. CoRR abs/2402.02656 (2024) - Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. CoRR abs/2405.01813 (2024) - 2023
- Ankit Sharma, Nilam, Harendra Pal Singh:
Computer-controlled diabetes disease diagnosis technique based on fuzzy inference structure for insulin-dependent patients. Appl. Intell. 53(2): 1945-1958 (2023) - Bharat Singh, Suchit Patel, Ankit Vijayvargiya, Rajesh Kumar:
Data-driven gait model for bipedal locomotion over continuous changing speeds and inclines. Auton. Robots 47(6): 753-769 (2023) - Connor H. Knight, Faraz Khan, Ankit Patel, Upkar S. Gill, Jessica Okosun, Jun Wang:
IBRAP: integrated benchmarking single-cell RNA-sequencing analytical pipeline. Briefings Bioinform. 24(2) (2023) - Vikas Kumar, Preeti, Shaiku Shahida Saheb, Sunil Kumari, Kanishka Pathak, Jai Kishan Chandel, Neeraj Varshney, Ankit Kumar:
A PLS-SEM Based Approach: Analyzing Generation Z Purchase Intention Through Facebook's Big Data. Big Data Min. Anal. 6(4): 491-503 (2023) - Girish K. Palshikar, Sachin Pawar, Anindita Sinha Banerjee, Rajiv Srivastava, Nitin Ramrakhiyani, Sangameshwar Patil, Devavrat Thosar, Jyoti Bhat, Ankita Jain, Swapnil Hingmire, Saheb Chaurasia, Payodhi Mandloi, Durgesh Chalavadi:
RINX: A system for information and knowledge extraction from resumes. Data Knowl. Eng. 147: 102202 (2023) - Simranjeet Singh, Chandan Kumar Jha, Ankit Bende, Phrangboklang Lyngton Thangkhiew, Vikas Rana, Sachin B. Patkar, Rolf Drechsler, Farhad Merchant:
Should We Even Optimize for Execution Energy? Rethinking Mapping for MAGIC Design Style. IEEE Embed. Syst. Lett. 15(4): 230-233 (2023) - Ankit Songara, Pankaj Dhiman, Vipul Sharma, Karan Kumar:
A Supervised Learning-Based Framework for Predicting COVID-19 in Patients. Int. J. Distributed Syst. Technol. 14(1): 1-12 (2023) - Bharat Singh, Suchit Patel, Ankit Vijayvargiya, Rajesh Kumar:
Universal activation function for data-driven gait model. Int. J. Model. Identif. Control. 42(4): 312-322 (2023) - Ankit Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah:
Supervised Bayesian specification inference from demonstrations. Int. J. Robotics Res. 42(14): 1245-1264 (2023) - Rama Singh, Saumya Patel, Ankita Vaish:
Secure most significant bit plane compression based reversible data hiding in encrypted image technique using Huffman Ciphersystem. J. Electronic Imaging 33(1) (2023) - Vijay R, Abhishek Kumar, Ankit Kumar, V. D. Ashok Kumar, Rajeshkumar K, Visvam Devadoss Ambeth Kumar, Abdul Khader Jilani Saudagar, Abirami A:
COVIDPRO-NET: a prognostic tool to detect COVID 19 patients from lung X-ray and CT images using transfer learning and Q-deformed entropy. J. Exp. Theor. Artif. Intell. 35(4): 473-488 (2023)