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Artificial Intelligence Monitor and Indicate To 108 Ambulance from Remote Area Using Deep Learning and ESP8266 Of the Patient Health -Heart Rate and ECG Signal

DOI : 10.65136/jati.v10i2.46
J. SUGANTHI VINODHINI (1)
(1) St. Peter’s Institute of Higher Education and Research, India
57-73
Abstract : 22
PDF : 7

E-Learning Challenges and Preparedness among Malaysian Frontline Students during COVID-19: A Mixed-Methods Study.

DOI : 10.65136/jati.v10i1.329
Nik Nor liati Fitri Md Nor (1), Milad Bagheri (2), Mehdi Soltanzadeh (3), Izham Mohamad Yusoff (4), Siti Masayu Rosliah Abdul Rashid (5), Iraj Gholami (6)
(1) Geography Section, School of Distance Education, Universiti Sains Malaysia, Pulau Penang; Transdisciplinary Research on Environmental Science and Occupational Health (Trees @ USM) section, School of Distance Education, Universiti Sains Malaysia, Pulau Pinang, Malaysia ,
(2) Geography Section, School of Distance Education (SDE), Universiti Sains Malaysia (USM), Pulau Penang; Transdisciplinary Research on Environmental Science and Occupational Health (Trees @ USM) section, School of Distance Education, Universiti Sains Malaysia, Pulau Pinang; Institute of Oceanography and Environment, Universiti Malaysia Terengganu, Terengganu, Malaysia ,
(3) Department of Socioculture, Academy of Malay Studies, Universiti Malaya, Kuala Lumpur, Malaysia ,
(4) Transdisciplinary Research on Environmental Science and Occupational Health (Trees @ USM) section, School of Distance Education, Universiti Sains Malaysia, Pulau Pinang; Department of Socioculture, Academy of Malay Studies, Universiti Malaya, Kuala Lumpur, Malaysia ,
(5) Geography Section, School of Distance Education, Universiti Sains Malaysia, Pulau Penang; Transdisciplinary Research on Environmental Science and Occupational Health (Trees @ USM) section, School of Distance Education, Universiti Sains Malaysia, Pulau Pinang, Malaysia ,
(6) Division of Science, New York University Abu Dhabi (NYUAD), Abu Dhabi, United Arab Emirates
68-90
Abstract : 209
PDF : 75

IOT security framework for IOT healthcare devices

DOI : 10.65136/jati.v5i1.241
Gan Zhen Wen Nicholas (1), Chandra Reka Ramachandran (2), Dr. Vinesha Selvarajah (3)
(1) School of Computing Asia Pacific University of Technology & Innovation (APU) Kuala Lumpur, Malaysia ,
(2) School of Computing Asia Pacific University of Technology & Innovation (APU) Kuala Lumpur, Malaysia ,
(3) School of Computing Asia Pacific University of Technology & Innovation (APU) Kuala Lumpur, Malaysia
Abstract : 107
PDF : 91
1 - 3 of 3 items