A5004153857- Artificial Intelligence in Healthcare
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Optical Wireless Communication Technologies
- Urban Transport and Accessibility
- Innovation and Socioeconomic Development
- Rough Sets and Fuzzy Logic
- Text and Document Classification Technologies
- Advanced Computational Techniques and Applications
- Blockchain Technology Applications and Security
- Big Data and Business Intelligence
- Membrane Separation Technologies
- Machine Learning in Healthcare
- Hate Speech and Cyberbullying Detection
- ICT in Developing Communities
- Imbalanced Data Classification Techniques
- Service-Oriented Architecture and Web Services
- Data Mining Algorithms and Applications
- Video Surveillance and Tracking Methods
- Impact of Light on Environment and Health
- Antibiotic Resistance in Bacteria
- Sustainable Supply Chain Management
- Advanced Wireless Communication Technologies
- Diabetes Management and Education
- Internet Traffic Analysis and Secure E-voting
Linköping University
2024
Yanshan University
2018-2024
Xiangtan University
2024
Shantou University
2020-2023
Shantou University Medical College
2020-2023
Brandenburg University of Technology Cottbus-Senftenberg
2023
COMSATS University Islamabad
2021
ORCID
2021
Hong Kong Polytechnic University
2021
Forman Christian College
2020
In this study, we developed a new hybrid mathematical model that combines wind-speed range with the log law to derive wind energy potential for wind-generated hydrogen production in Pakistan. addition, electrolyzed power order assess generation capacity of renewable hydrogen. The advantage Weibull is it more accurately reflects (i.e., factor). When applied selected sites, have found commercially viable all locations. All sites considered had produce an excess amount If total national was...
China has the world's largest population, going under health transition due to industrialization, urbanization, and a sedentary lifestyle. About 82% of China's disease burden is prevalence non-communicable diseases (NCDs). Physical activity (active travel) best preventive measure against NCDs. The Chinese government introduced several steps improve national fitness overcome NCDs among aging population. Exercise sports play vital role in promoting physical helpful accomplishing level for...
As global navigation satellite system (GNNS) signals are unable to enter indoor spaces, substitute methods such as localization-based visible light communication (VLC) gaining the attention of researchers. In this paper, systematic investigation a VLC channel is performed for both direct and indirect line sight (LoS) by utilizing impulse response optical wireless channels. order examine localization scenario, two light-emitting diode (LED) grid patterns used. The received signal strength...
The data generated from non-Euclidean domains and its graphical representation (with complex-relationship object interdependence) applications has observed an exponential growth. sophistication of graph posed consequential obstacles to the existing machine learning algorithms. In this study, we have considered a revamped version semi-supervised algorithm for graph-structured address issue expanding deep approaches represent data. Additionally, quantum information theory been applied through...
Due to the growing availability of genomic datasets, machine learning models have shown impressive diagnostic potential in identifying emerging and reemerging pathogens. This study aims use techniques develop compare a model for predicting bacterial resistance panel 12 classes antibiotics using whole genome sequence (WGS) data Pseudomonas aeruginosa.A technique called Random Forest (RF) BioWeka was used classification accuracy assessment logistic regression (LR) statistical analysis.Our...
Massive multiple-input multiple-output or massive MIMO system has great potential for 5 th generation (5G) wireless communication systems as it is capable of providing game-changing enhancements in area throughput and energy efficiency (EE). This work proposes a realistic practically implementable EE model while general canonical used single-cell scenario. Linear processing schemes are detection precoding, i.e., minimum mean squared error (MMSE), zero-forcing (ZF), maximum ratio transmission...
The Global Digital Division remains as a rising focus that has to be brought into the notice of United Nations UN. It is about vast disparity in exposure existing digital knowledge by ICT information and communication technologies amongst developed developing nations. work outlined here seeks acknowledge effects provide feedback an ethical issue on key areas. study also provides several concrete solutions this order ensure sustainable development society. In addition, Effectiveness Framework...
The increasing ratio of diabetes is found risky across the planet. Therefore, diagnosis important in population with extreme risk diabetes. In this study, a decision-making classifier (J48) applied over data-mining platform (Weka) to measure accuracy and linear regression on classification results forecast cost/benefit mellitus patients along prevalence. total 108 invasive non-invasive medical features are considered from 251 for assessment, real-time data gathered Pakistan time span June...
The grouping of clusters is an important task to perform for the initial stage clinical implication and diagnosis a disease. researchers performed evaluation work on instance distributions cluster groups epidemic classification, based manual data extracted from various repositories, in order evaluate Euclidean points. This study was carried out Weka (3.9.2) using 281 real-life health records diabetes mellitus patients including males females ages>20 <87, who were simultaneously...
In the area of continuing education, computer network has been an important part people's lives in growth and advancement quality education. This challenge explores function information system sustaining technology workers for social economic human communities worldwide analyzes applications major features Continuing education is anticipated to employ usage other new wireless technologies immediate future, through use modern cell technology, smartphones or related products. However, this...
A temperature-sensor is presented based on the solid core photonic crystal fiber (PCF) infiltrated with magnetic fluid (MF) in all or some parts of cladding air holes help syringe injection technique. The 8.5-cm length proposed PCF sensor used. Mach–Zehnder interferometer modal used for detection process. applied temperature given a range from 25.6°C to 100.1°C. calculated outcome justifies that very clear interference spectrum obtained between change refractive index MF and temperature....
A chronic disease diabetes mellitus is assuming pestilence proportion worldwide. Therefore prevalence important in all aspects. Researchers have introduced various methods, but still, the improvement a need for classification techniques. This paper considers data mining approach and principal component analysis (PCA) techniques, on single platform to approaches polytomous variable-based of some selected diseases. The PCA result shows eigenvalues, total variance explained components (PCs)...
Membrane bioreactor (MBR) is an innovative wastewater treatment technology in which solid and liquid separation done through membrane.Advantages of MBR involves better effluent quality, less foot print waste sludge generation.However, membrane biofouling a major hindrance the use that leads to clogging membranes.Moving bed biofilm reactor (MBBR) encompasses carriers moving by aeration provide surface microorganism for attached growth.MBBR increases retention time, thus slowing down growth...
The increasing rate of diabetes is found across the planet. Therefore, diagnosis pre-diabetes and important in populations with extreme risk. In this study, a machine learning technique was implemented over data mining platform by employing Rule classifiers (PART Decision table) to measure accuracy logistic regression on classification results for forecasting prevalence mellitus patients suffering simultaneously from other chronic disease symptoms. real-life collected Nigeria between...
To predict diabetes mellitus model data mining (DM) based approaches on the dataset collected from seven northwestern states of Nigeria. Data were both primary and secondary sources through questionnaires verbal interviews patients with diabetic other chronic diseases. Some hospital also used records involved in this work. The comprises 281 instances 8 attributes. R programming software (version 5.3.1) was experiments. DM techniques research binomial logistic regression, classification,...