A5100642885- Context-Aware Activity Recognition Systems
- Gene expression and cancer classification
- ECG Monitoring and Analysis
- Non-Invasive Vital Sign Monitoring
- Genetic and phenotypic traits in livestock
- Fluoride Effects and Removal
- Catalysis and Hydrodesulfurization Studies
- Bone fractures and treatments
- Catalysis for Biomass Conversion
- Bayesian Modeling and Causal Inference
- Phytochemistry and Biological Activities
- Natural product bioactivities and synthesis
- Reconstructive Surgery and Microvascular Techniques
- IoT and Edge/Fog Computing
- Zeolite Catalysis and Synthesis
- Natural Compound Pharmacology Studies
- Foot and Ankle Surgery
- Artificial Intelligence in Healthcare
- Molecular Biology Techniques and Applications
- Genomics, phytochemicals, and oxidative stress
- Atrial Fibrillation Management and Outcomes
- Synthesis and Characterization of Heterocyclic Compounds
- Synthesis of Organic Compounds
- Plant chemical constituents analysis
- IoT-based Smart Home Systems
University of Calgary
2016-2025
Shanghai Electric Apparatus Research Institute
2016-2024
Foshan University
2019-2024
Shandong University of Finance and Economics
2021-2024
Xintai People's Hospital
2020-2024
Institute of Agro-Products Processing Science and Technology
2024
Chinese Academy of Agricultural Sciences
2024
Institute of Food Science and Technology
2024
Institute of Food Science & Technology
2024
Ministry of Agriculture and Rural Affairs
2024
Activity recognition plays an essential role in bridging the gap between low-level sensor data and high-level applications ambient-assisted living systems. With aim to obtain satisfactory rate adapt various application scenarios, a variety of sensors have been exploited, among which, smartphone-embedded inertial are widely applied due its convenience, low cost, intrusiveness. In this paper, we explore power triaxial accelerometer gyroscope built-in smartphone recognizing human physical...
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective:</i> Epilepsy prediction algorithms offer patients with drug-resistant epilepsy a way to reduce unintended harm from sudden seizures. The purpose of this study is investigate the applicability transfer learning (TL) technique and model inputs for different deep (DL) structures, which may provide reference researchers design algorithms. Moreover, we also attempt novel precise...
Polybrominated diphenyl ethers (PBDEs)-induced neurotoxicity is closely associated with mitochondrial abnormalities. Mitochondrial fusion and fission dynamics are required for the maintenance of homeostasis. However, little known about how PBDEs disrupt this whether such disruption contributes to impaired neurodevelopment. Methods: We investigated effects 2, 2', 4, 4'-tetrabromodiphenyl ether (PBDE-47), dominant congener in human samples, on using PC12 cells, a well-defined vitro...
Seed germination is the process by which an organism grows from a seed. It requires suitable conditions and environmental factors. Maize one of most important crops worldwide. Germination influences both final maize yield quality. regulated complex gene network. also influenced endogenous (phytohormones nutrients) exogenous (temperature water) inputs, involving molecular networks only partly identified to date. This review describes current understanding influence temperature, water,...
Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that can lead to wide range of health issues if left untreated. This study aims address the lack research on personalized models for single-lead electrocardiogram (ECG)-based OSA detection, by proposing an automatic semi-supervised algorithm automated low-cost personalization fine-tuning.We utilize convolutional neural network (CNN)-based auto-encoder (AE) with modified training objective detect anomalous region OSA....