Creating a biomedical knowledge base by addressing GPT inaccurate responses and benchmarking context.

Autor: Darnell SS; University of Tennessee Health Science Center, Memphis, TN, USA., Overall RW; University of Tennessee Health Science Center, Memphis, TN, USA.; Humboldt University, Institute of Biology, Berlin, Germany., Guarracino A; University of Tennessee Health Science Center, Memphis, TN, USA., Colonna V; University of Tennessee Health Science Center, Memphis, TN, USA., Villani F; University of Tennessee Health Science Center, Memphis, TN, USA., Garrison E; University of Tennessee Health Science Center, Memphis, TN, USA., Isaac A; University College London, London, UK., Muli P; GeneNetwork Systems Genetics Software Development Team, Nairobi, Kenya., Muriithi FM; University of Tennessee Health Science Center, Memphis, TN, USA.; GeneNetwork Systems Genetics Software Development Team, Nairobi, Kenya., Kabui A; GeneNetwork Systems Genetics Software Development Team, Nairobi, Kenya., Kilyungi M; GeneNetwork Systems Genetics Software Development Team, Nairobi, Kenya., Lisso F; GeneNetwork Systems Genetics Software Development Team, Nairobi, Kenya.; Pwani University, Kilifi, Kenya., Kibet A; FahamuAI, Nairobi, Kenya., Muhia B; FahamuAI, Nairobi, Kenya., Nijveen H; Wageningen University, Bioinformatics, Wageningen, The Netherlands., Yousefi S; University of Tennessee Health Science Center, Memphis, TN, USA., Ashbrook D; University of Tennessee Health Science Center, Memphis, TN, USA., Huang P; Cornell University, School of Electrical and Computer Engineering, Ithaca, USA., Suh GE; Cornell University, School of Electrical and Computer Engineering, Ithaca, USA.; NVIDIA Research, USA., Umar M; Cornell University, School of Electrical and Computer Engineering, Ithaca, USA., Batten C; Cornell University, School of Electrical and Computer Engineering, Ithaca, USA., Chen H; University of Tennessee Health Science Center, Memphis, TN, USA., Sen Ś; University of Tennessee Health Science Center, Memphis, TN, USA., Williams RW; University of Tennessee Health Science Center, Memphis, TN, USA., Prins P; University of Tennessee Health Science Center, Memphis, TN, USA.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Oct 21. Date of Electronic Publication: 2024 Oct 21.

Deep learning-based facial emotion recognition for human–computer interaction applications.

Autor: Chowdary, M. Kalpana¹ (AUTHOR), Nguyen, Tu N.² (AUTHOR), Hemanth, D. Jude¹ (AUTHOR) judehemanth@karunya.edu

Publikováno v: Neural Computing & Applications. Nov2023, Vol. 35 Issue 32, p23311-23328. 18p.

Adoption of blockchain technology in various realms: Opportunities and challenges.

Autor: Akram, Shaik V.¹ (AUTHOR), Malik, Praveen K.¹ (AUTHOR), Singh, Rajesh¹ (AUTHOR), Anita, Gehlot¹ (AUTHOR), Tanwar, Sudeep² (AUTHOR) sudeep.tanwar@nirmauni.ac.in

Publikováno v: Security & Privacy. Sep2020, Vol. 3 Issue 5, p1-17. 17p.

Blockchain technology and software engineering practices: a systematic review of literature using topic modelling approach.

Autor: Jagwani, Priti, Singh, V. B., Agrawal, Noopur, Tripathi, Aditya P.

Publikováno v: International Journal of Systems Assurance Engineering & Management; Mar2023 Suppl 1, Vol. 14, p1-17, 17p

Optimal fusion aided face recognition from visible and thermal face images.

Autor: Kanmani, Madheswari, Narasimhan, Venkateswaran

Publikováno v: Multimedia Tools & Applications; Jul2020, Vol. 79 Issue 25/26, p17859-17883, 25p