185 related articles for article (PubMed ID: 37889795)
1. Artificial Intelligence for Automatic Monitoring of Respiratory Health Conditions in Smart Swine Farming.
Lagua EB; Mun HS; Ampode KMB; Chem V; Kim YH; Yang CJ
Animals (Basel); 2023 Jun; 13(11):. PubMed ID: 37889795
[TBL] [Abstract][Full Text] [Related]
2. The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming.
Wang S; Jiang H; Qiao Y; Jiang S; Lin H; Sun Q
Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080994
[TBL] [Abstract][Full Text] [Related]
3. Porcine respiratory disease complex: Dynamics of polymicrobial infections and management strategies after the introduction of the African swine fever.
Assavacheep P; Thanawongnuwech R
Front Vet Sci; 2022; 9():1048861. PubMed ID: 36504860
[TBL] [Abstract][Full Text] [Related]
4. Object detection and tracking using a high-performance artificial intelligence-based 3D depth camera: towards early detection of African swine fever.
Ryu HW; Tai JH
J Vet Sci; 2022 Jan; 23(1):e17. PubMed ID: 35088954
[TBL] [Abstract][Full Text] [Related]
5. Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and Opportunities.
Alqudaihi KS; Aslam N; Khan IU; Almuhaideb AM; Alsunaidi SJ; Ibrahim NMAR; Alhaidari FA; Shaikh FS; Alsenbel YM; Alalharith DM; Alharthi HM; Alghamdi WM; Alshahrani MS
IEEE Access; 2021; 9():102327-102344. PubMed ID: 34786317
[TBL] [Abstract][Full Text] [Related]
6. SensorTalk: An IoT Device Failure Detection and Calibration Mechanism for Smart Farming.
Lin YB; Lin YW; Lin JY; Hung HN
Sensors (Basel); 2019 Nov; 19(21):. PubMed ID: 31689904
[TBL] [Abstract][Full Text] [Related]
7. Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions.
Holzinger A; Saranti A; Angerschmid A; Retzlaff CO; Gronauer A; Pejakovic V; Medel-Jimenez F; Krexner T; Gollob C; Stampfer K
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35459028
[TBL] [Abstract][Full Text] [Related]
8. Artificial intelligence as an emerging technology in the current care of neurological disorders.
Patel UK; Anwar A; Saleem S; Malik P; Rasul B; Patel K; Yao R; Seshadri A; Yousufuddin M; Arumaithurai K
J Neurol; 2021 May; 268(5):1623-1642. PubMed ID: 31451912
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring. Part 2: artificial intelligence.
Sitaula C; Grooby E; Kwok TC; Sharkey D; Marzbanrad F; Malhotra A
Pediatr Res; 2023 Jan; 93(2):426-436. PubMed ID: 36513806
[TBL] [Abstract][Full Text] [Related]
10. The prospective of Artificial Intelligence in COVID-19 Pandemic.
Swayamsiddha S; Prashant K; Shaw D; Mohanty C
Health Technol (Berl); 2021; 11(6):1311-1320. PubMed ID: 34603925
[TBL] [Abstract][Full Text] [Related]
11. Assessing the accuracy of artificial intelligence enabled acoustic analytic technology on breath sounds in children.
Cheng ZR; Zhang H; Thomas B; Tan YH; Teoh OH; Pugalenthi A
J Med Eng Technol; 2022 Jan; 46(1):78-84. PubMed ID: 34730469
[TBL] [Abstract][Full Text] [Related]
12. Smart microalgae farming with internet-of-things for sustainable agriculture.
Lim HR; Khoo KS; Chia WY; Chew KW; Ho SH; Show PL
Biotechnol Adv; 2022; 57():107931. PubMed ID: 35202746
[TBL] [Abstract][Full Text] [Related]
13. The coming era of a new auscultation system for analyzing respiratory sounds.
Kim Y; Hyon Y; Lee S; Woo SD; Ha T; Chung C
BMC Pulm Med; 2022 Mar; 22(1):119. PubMed ID: 35361176
[TBL] [Abstract][Full Text] [Related]
14. New and emerging technology for adult social care - the example of home sensors with artificial intelligence (AI) technology.
Glasby J; Litchfield I; Parkinson S; Hocking L; Tanner D; Roe B; Bousfield J
Health Soc Care Deliv Res; 2023 Jun; 11(9):1-64. PubMed ID: 37470136
[TBL] [Abstract][Full Text] [Related]
15. Early recognition of bovine respiratory disease in calves using automated continuous monitoring of cough sounds.
Vandermeulen J; Bahr C; Johnston D; Earley B; Tullo E; Fontana I; Guarino M; Exadaktylos V; Berckmans D
Comput Electron Agric; 2016 Nov; 129():15-26. PubMed ID: 32287575
[TBL] [Abstract][Full Text] [Related]
16. New strategies on the application of artificial intelligence in the field of phytoremediation.
Singh P; Pani A; Mujumdar AS; Shirkole SS
Int J Phytoremediation; 2023; 25(4):505-523. PubMed ID: 35802802
[TBL] [Abstract][Full Text] [Related]
17. Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review.
Ranyal E; Sadhu A; Jain K
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35459034
[TBL] [Abstract][Full Text] [Related]
18. ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences.
Jacobs M; Remus A; Gaillard C; Menendez HM; Tedeschi LO; Neethirajan S; Ellis JL
J Anim Sci; 2022 Jun; 100(6):. PubMed ID: 35419602
[TBL] [Abstract][Full Text] [Related]
19. Smart diagnostics devices through artificial intelligence and mechanobiological approaches.
Yadav D; Garg RK; Chhabra D; Yadav R; Kumar A; Shukla P
3 Biotech; 2020 Aug; 10(8):351. PubMed ID: 32728518
[TBL] [Abstract][Full Text] [Related]
20. Artificial intelligence techniques used in respiratory sound analysis--a systematic review.
Palaniappan R; Sundaraj K; Sundaraj S
Biomed Tech (Berl); 2014 Feb; 59(1):7-18. PubMed ID: 24114889
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
