Search Results - "YI-PING CHEN"
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A comprehensive review of federated learning for COVID‐19 detection
Published in International journal of intelligent systems (01-03-2022)“…The coronavirus of 2019 (COVID‐19) was declared a global pandemic by World Health Organization in March 2020. Effective testing is crucial to slow the spread…”
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2
Widespread splicing changes in human brain development and aging
Published in Molecular systems biology (2013)“…While splicing differences between tissues, sexes and species are well documented, little is known about the extent and the nature of splicing changes that…”
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Machine learning for medical imaging‐based COVID‐19 detection and diagnosis
Published in International journal of intelligent systems (01-09-2021)“…The novel coronavirus disease 2019 (COVID‐19) is considered to be a significant health challenge worldwide because of its rapid human‐to‐human transmission,…”
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Prediction of drug adverse events using deep learning in pharmaceutical discovery
Published in Briefings in bioinformatics (22-03-2021)“…Abstract Traditional machine learning methods used to detect the side effects of drugs pose significant challenges as feature engineering processes are…”
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Association rule mining to detect factors which contribute to heart disease in males and females
Published in Expert systems with applications (01-03-2013)“…► UCI Heart disease Cleveland dataset used in this research. ► A computational intelligence approach is used to identify heart disease risk factors. ► Gender…”
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True real time pricing and combined power scheduling of electric appliances in residential energy management system
Published in Applied energy (01-03-2016)“…[Display omitted] •New smart home community architecture is proposed.•The community controller acts as a virtual power distribution company.•A true real time…”
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A novel decision strategy for a bilateral energy contract
Published in Applied energy (01-11-2019)“…[Display omitted] •We propose a unified framework for the energy market at two levels.•We develop a bilateral energy trading scheme for choosing a bilateral…”
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Descriptive prediction of drug side‐effects using a hybrid deep learning model
Published in International journal of intelligent systems (01-06-2021)“…In this study, we developed a hybrid deep learning (DL) model, which is one of the first interpretable hybrid DL models with Inception modules, to give a…”
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Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
Published in Applied energy (01-09-2009)“…The coulomb counting method is expedient for state-of-charge (SOC) estimation of lithium-ion batteries with high charging and discharging efficiencies. The…”
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10
Designing secure substitution boxes based on permutation of symmetric group
Published in Neural computing & applications (01-06-2020)“…The strength of cryptosystems heavily relies on the substitution boxes. Cryptosystems with weak substitution boxes cannot resist algebraic attacks, linear and…”
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Intracellular Implantation of Enzymes in Hollow Silica Nanospheres for Protein Therapy: Cascade System of Superoxide Dismutase and Catalase
Published in Small (Weinheim an der Bergstrasse, Germany) (01-11-2014)“…An approach for enzyme therapeutics is elaborated with cell‐implanted nanoreactors that are based on multiple enzymes encapsulated in hollow silica nanospheres…”
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Computational intelligence for heart disease diagnosis: A medical knowledge driven approach
Published in Expert systems with applications (01-01-2013)“…► This paper investigates the computational intelligence techniques for heart disease diagnosis. ► The best suited algorithms for heart disease diagnosis is…”
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13
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Published in IEEE transactions on knowledge and data engineering (01-12-2023)“…Anomaly detection from graph data has drawn much attention due to its practical significance in many critical applications including cybersecurity, finance,…”
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14
Evaluation of deep learning in non-coding RNA classification
Published in Nature machine intelligence (01-05-2019)“…Non-coding (nc) RNA plays a vital role in biological processes and has been associated with diseases such as cancer. Classification of ncRNAs is necessary for…”
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15
Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach
Published in IEEE transaction on neural networks and learning systems (01-10-2017)“…Forecasting accuracy is an important issue for successful intelligent traffic management, especially in the domain of traffic efficiency and congestion…”
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Optimized Configuration of Exponential Smoothing and Extreme Learning Machine for Traffic Flow Forecasting
Published in IEEE transactions on industrial informatics (01-01-2019)“…Traffic flow forecasting is a useful technology applied to solve traffic congestion problems and to improve transportation mobility. Neural networks related…”
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Multi-targeting of functional cysteines in multiple conserved SARS-CoV-2 domains by clinically safe Zn-ejectors
Published in Chemical science (Cambridge) (23-09-2020)“…We present a near-term treatment strategy to tackle pandemic outbreaks of coronaviruses with no specific drugs/vaccines by combining evolutionary and physical…”
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18
Bacterial genomic G + C composition-eliciting environmental adaptation
Published in Genomics (San Diego, Calif.) (2010)“…Bacterial genomes reflect their adaptation strategies through nucleotide usage trends found in their chromosome composition. Bacteria, unlike eukaryotes…”
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Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma
Published in PloS one (04-05-2022)“…Predicting reduced health-related quality of life (HRQoL) after resection of a benign or low-grade brain tumour provides the opportunity for early…”
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Emerging tobacco‐related cancer risks in China: A nationwide, prospective study of 0.5 million adults
Published in Cancer (01-09-2015)“…BACKGROUND In China, cigarette consumption has increased substantially since the 1980s, almost exclusively in men. This study was aimed at assessing the…”
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