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Facial expression recognition using lightweight deep learning modeling.

Autor: Ahmad M; Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Tobe Camp, Abbottabad-22060, Pakistan.; Department of Computer Science, the University of Lahore, Sargodha Campus 40100, Pakistan., Sanawar S; Department of Computer Science, the University of Lahore, Sargodha Campus 40100, Pakistan., Alfandi O; College of Technological Innovation at Zayed University in Abu Dhabi, UAE., Qadri SF; Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou 311121, China., Saeed IA; Department of Computer Science, the University of Lahore, Sargodha Campus 40100, Pakistan., Khan S; College of Computer Science & Software Engineering, Shenzhen University, Shenzhen 518060, China., Hayat B; Department of Computer Science, Institute of Management Sciences, Peshawar, Pakistan., Ahmad A; Department of IT & CS, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology (PAF-IAST), Haripur 22620, Pakistan.

Publikováno v: Mathematical biosciences and engineering : MBE [Math Biosci Eng] 2023 Feb 27; Vol. 20 (5), pp. 8208-8225.

Metal-organic frameworks (MOFs) based nanofiber architectures for the removal of heavy metal ions.

Autor: Adil HI; College of Science, University of Duhok Duhok 42001 Iraq., Thalji MR; Independent Researcher Amman Jordan., Yasin SA; College of Science, University of Duhok Duhok 42001 Iraq., Saeed IA; College of Science, University of Duhok Duhok 42001 Iraq., Assiri MA; Research Center for Advanced Materials Science (RCAMS), King Khalid University Abha Kingdom of Saudi Arabia.; Department of Chemistry, Faculty of Science, King Khalid University P.O. Box 9004 Abha 61413 Saudi Arabia., Chong KF; Faculty of Industrial Sciences & Technology, Universiti Malaysia Pahang Gambang 26300 Kuantan Malaysia., Ali GAM; Chemistry Department, Faculty of Science, Al-Azhar University Assiut 71524 Egypt gomaasanad@azhar.edu.eg.

Publikováno v: RSC advances [RSC Adv] 2022 Jan 07; Vol. 12 (3), pp. 1433-1450. Date of Electronic Publication: 2022 Jan 07 (Print Publication: 2022).

A smart diagnostic tool based on deep kernel learning for on-site determination of phosphate, calcium, and magnesium concentration in a hydroponic system.

Autor: Tuan VN; Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs Beijing 100083 China.; College of Information and Electrical Engineering, China Agricultural University Beijing 100083 China minjuan@cau.edu.cn gaowlin@cau.edu.cn.; Faculty of Electrical and Electronic Engineering, Nam Dinh University of Technology Education Nam Dinh 420000 Vietnam., Dinh TD; Quality Testing Lab, Center for Research and Development Science Technology Tien Nong Thanh Hoa 442410 Vietnam.; College of Chemistry and Chemical Engineering, Beijing Institute of Technology Beijing 102488 China., Zhang W; Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs Beijing 100083 China.; College of Information and Electrical Engineering, China Agricultural University Beijing 100083 China minjuan@cau.edu.cn gaowlin@cau.edu.cn., Khattak AM; College of Information and Electrical Engineering, China Agricultural University Beijing 100083 China minjuan@cau.edu.cn gaowlin@cau.edu.cn.; Department of Horticulture, The University of Agriculture Peshawar 25120 Pakistan., Le AT; College of Information and Electrical Engineering, China Agricultural University Beijing 100083 China minjuan@cau.edu.cn gaowlin@cau.edu.cn.; Faculty of Electrical and Electronic Engineering, Nam Dinh University of Technology Education Nam Dinh 420000 Vietnam., Saeed IA; Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs Beijing 100083 China.; Department of Computer Science, The University of Lahore Pakistan., Gao W; Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs Beijing 100083 China.; College of Information and Electrical Engineering, China Agricultural University Beijing 100083 China minjuan@cau.edu.cn gaowlin@cau.edu.cn., Wang M; Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs Beijing 100083 China.; College of Information and Electrical Engineering, China Agricultural University Beijing 100083 China minjuan@cau.edu.cn gaowlin@cau.edu.cn.

Publikováno v: RSC advances [RSC Adv] 2021 Mar 16; Vol. 11 (19), pp. 11177-11191. Date of Electronic Publication: 2021 Mar 16 (Print Publication: 2021).

Oxalate Content of Enteral Nutrition Formulas.

Autor: Penniston KL; Department of Urology, University of Wisconsin School of Medicine and Public Health.; Department of Clinical Nutrition Services, UW Health University Hospital and Clinics., Palmer EA; Department of Urology, University of Wisconsin School of Medicine and Public Health., Medenwald RJ; Department of Urology, University of Wisconsin School of Medicine and Public Health., Johnson SN; Department of Urology, University of Wisconsin School of Medicine and Public Health., John LM; Department of Urology, University of Wisconsin School of Medicine and Public Health., Beshensky DJ; Department of Urology, University of Wisconsin School of Medicine and Public Health., Saeed IA; Department of Urology, University of Wisconsin School of Medicine and Public Health.

Publikováno v: Journal of pediatric gastroenterology and nutrition [J Pediatr Gastroenterol Nutr] 2019 Nov; Vol. 69 (5), pp. e135-e140.