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#1Yoshihiro Shiroishi (Hitachi)H-Index: 17
#2Kunio Uchiyama (AIST: National Institute of Advanced Industrial Science and Technology)
Last.Norihiro Suzuki (Hitachi)H-Index: 4
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It is imperative for humans to remain as central actors in the policy- and decisionmaking processes to achieve a sustainable and inclusive society. In this article, we outline the challenges in finding better actions to realize Society 5.0 for Sustainable Development Goals through evidence-based policymaking using artificial intelligence.
#1Matteo Gadaleta (UNIPD: University of Padua)H-Index: 3
#2Michele Rossi (UNIPD: University of Padua)H-Index: 31
Last.Giorgio Quer (Scripps Health)H-Index: 12
view all 5 authors...
The automatic, unsupervised analysis of biomedical time series is vital for diagnostic and preventive medicine, enabling fast and reliable data processing that reveals clinical insights without human intervention. This article explores and quantifies the benefits of modern deeplearning architectures of varying degrees of complexity.
#1Chi-Ho Tseng (NTU: National Taiwan University)
#2Chen Lin (NCU: National Central University)H-Index: 13
Last.Men-Tzung Lo (NCU: National Central University)H-Index: 22
view all 10 authors...
Atrial fibrillation (AFib) is the most common arrhythmia, and patients with AFib have a five times higher risk for stroke. To develop an efficient and sustainable strategy for detecting undiagnosed AFib, we propose a cloud-based artificial intelligence system for arrhythmia screening, especially for AFib.
#1William C. Chu (THU: Tunghai University)H-Index: 17
#2Chihhsiong Shih (THU: Tunghai University)H-Index: 6
Last.Pao-Ann Hsiung (CCU: National Chung Cheng University)H-Index: 17
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The interdisciplinary nature of sports science introduces challenges such as multifaceted data collection, accuracy in knowledge formation, and equipment usability. Artificial intelligence of things (AIoT) technology presents a feasible solution adaptable to different sports. Taking weight training as an example, we apply AIoT technology to these challenges.
#1Ozgun Pinarer (Galatasaray University)
#2Atay Ozgovde (Galatasaray University)H-Index: 6
The proliferation of portable devices with a wide spectrum of sensing capabilities, together with commercial availability, has made practical wearable computing applications a reality. This article focuses on efforts to make portable devices energy efficient by incorporating an intelligent dynamic energy management scheme so the overall effect on the application performance is minimal.
#1Nutta Homdee (UVA: University of Virginia)H-Index: 1
#2Ridwan Alam (UVA: University of Virginia)H-Index: 3
Last.John Lach (GW: George Washington University)H-Index: 4
view all 13 authors...
Dementia caregiver burden associated with patient agitation is one of the most common reasons for the institutionalization of a person with dementia. We developed an integrative sensing, analytics, modeling, and intervention system that detects early signs of agitation and notifies the caregiver to intervene before escalation.
#1Sumi Helal (Lancaster University)H-Index: 26
#2Ramesh Jain (UCI: University of California, Irvine)H-Index: 63
Decision makers need credible assessments of the trustworthiness of electronic systems. Reverse engineering can provide the way forward, and the trust-assessment community should support the advancement of reversing as an engineering discipline.
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