A5100391934- Advanced Chemical Sensor Technologies
- COVID-19 diagnosis using AI
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Digital Imaging for Blood Diseases
- Anomaly Detection Techniques and Applications
- Spectroscopy and Chemometric Analyses
- Endometrial and Cervical Cancer Treatments
- Brain Tumor Detection and Classification
- Glycosylation and Glycoproteins Research
- Monoclonal and Polyclonal Antibodies Research
- Identification and Quantification in Food
- Biochemical Analysis and Sensing Techniques
- Image Processing Techniques and Applications
- Analytical Chemistry and Sensors
- Nutritional Studies and Diet
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Olfactory and Sensory Function Studies
- Uterine Myomas and Treatments
- Protein purification and stability
- Analytical Chemistry and Chromatography
- Water Quality Monitoring Technologies
- Radiomics and Machine Learning in Medical Imaging
Chengdu University
2022-2025
University of Leicester
2021-2024
Civil Aviation Administration of China
2024
Nanjing Agricultural University
2024
Shaanxi University of Science and Technology
2021-2024
University of South China
2023
National University of Defense Technology
2023
Sun Yat-sen University
2023
Beijing Technology and Business University
2021-2023
Beihang University
2023
Integrating artificial intelligence with food category recognition has been a field of interest for research the past few decades. It is potentially one next steps in revolutionizing human interaction food. The modern advent big data and development data-oriented fields like deep learning have provided advancements recognition. With increasing computational power ever-larger datasets, approach's potential yet to be realized. This survey provides an overview methods that can applied various...
Deep Learning (DL), a groundbreaking branch of Machine (ML), has emerged as driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted complex non-linear artificial neural systems, excel at extracting high-level features from data. demonstrated human-level performance real-world tasks, including clinical diagnostics, unlocked solutions to previously intractable problems virtual agent design, robotics, genomics, neuroimaging, computer vision, industrial...
Since 2019, the coronavirus disease-19 (COVID-19) has been spreading rapidly worldwide, posing an unignorable threat to global economy and human health. It is a disease caused by severe acute respiratory syndrome 2, single-stranded RNA virus of genus Betacoronavirus. This highly infectious relies on its angiotensin-converting enzyme 2-receptor enter cells. With increase in number confirmed COVID-19 diagnoses, difficulty diagnosis due lack healthcare resources becomes increasingly apparent....
With a global COVID-19 pandemic, the number of confirmed patients increases rapidly, leaving world with very few medical resources. Therefore, fast diagnosis and monitoring are one world's most critical challenges today. Artificial intelligence-based CT image classification models can quickly accurately distinguish infected from healthy populations. Our research proposes deep learning model (WE-SAJ) using wavelet entropy for feature extraction, two-layer FNNs adaptive Jaya algorithm as...
Inspired by the biological evolution, this paper proposes an evolutionary synthesis mechanism to automatically evolve DenseNet towards high sparsity and efficiency for medical image classification. Unlike traditional automatic design methods, generates a sparser offspring in each generation based on its previous trained ancestor. Concretely, we use synaptic model mimic evolution asexual reproduction. Each generation's knowledge is passed down descendant, environmental constraint limits size...
Tuberculosis is a very deadly disease, with more than half of all tuberculosis cases dead in countries and regions relatively poor health care resources. Fortunately, the disease curable, early diagnosis medication can go long way toward curing TB patients. Unfortunately, traditional methods rely on specialist doctors, which lacking areas high mortality rates. Diagnostic based artificial intelligence technology are one solutions to this problem. We propose Deep Transferred EfficientNet SVM...
Acceptable indoor air quality is a concern for the comfort and health of humans, in which 40–70% relative humidity (RH) comfortable human body existence volatile organic compounds (VOCs) may be harmful our health. Therefore, development wearable sensors that can monitor RH VOCs real time highly desired. In this work, mixture conductive carbon black exfoliated graphene was dip-coated on filter paper to easily fabricate paper-based flexible sensor, detect range 33–95% including methanol...
Locally advanced cervical cancer (LACC) is frequently treated with neoadjuvant chemotherapy (NACT), which includes paclitaxel and platinum. However, the development of severe toxicity a barrier to successful NACT. Phosphatidylinositol 3-kinase (PI3K)/serine/threonine kinase (AKT) pathway related occurrence chemotherapeutic toxicity. In this research work, we employ random forest (RF) machine learning model forecast NACT (neurological, gastrointestinal, hematological reactions). Twenty-four...
Since 2019, the coronavirus disease-19 (COVID-19) has been spreading rapidly worldwide, posing an unignorable threat to global economy and human health. It is a disease caused by severe acute respiratory syndrome 2, single-stranded RNA virus of genus Betacoronavirus. This highly infectious relies on its angiotensin-converting enzyme 2-receptor enter cells. With increase in number confirmed COVID-19 diagnoses, difficulty diagnosis due lack healthcare resources becomes increasingly apparent....
The PI3K/Akt pathway involves in regulating resistance to platinum-based neoadjuvant chemotherapy (NACT) locally advanced cervical cancer (LACC) patients. Single nucleotide polymorphisms (SNPs) reflect the basic genetic variation between individuals. Random forest (RF) is one of machine-learning models that can predict drug sensitivity with high accuracy. We applied RF model for genomic prediction NACT LACC patients.A total 259 patients were separated two groups (i) effective and (ii)...
Abstract Coronavirus disease 2019 (COVID-19) has swiftly spread throughout the globe, causing widespread infection in various countries and regions, was declared a pandemic by World Health Organization (WHO) 2020. Computer algorithms models can help identification classification of COVID-19 virus medical domain, especially CT, X-rays Electrocardiography tests with rapid accurate results. In this paper, electrocardiography model based on grey wolf optimization support vector machine will be...
Correct identification of the substance basis Pseudostellariae Radix (PR) odor is important not only for quality control products, but also safety consumers. PR often described with a special smell, such as strange, moldy or earthy. Electronic nose-based technology coupled headspace solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) was used to investigate volatile components in from 47 germplasms cultivated traditional fields. A total 48 common compounds were...
Apple is an important cash crop in China, and the prediction of its freshness can effectively reduce storage risk avoid economic loss. The change concentration odor information such as ethylene, carbon dioxide, ethanol emitted during apple feature to characterize apples. In order accurately predict level apples, electronic nose system based on a gas sensor array wireless transmission module designed, neural network model using improved Sparrow Search Algorithm (SSA) chaotic sequence (Tent)...
Flexible electrothermal heaters have attracted abundant attention in recent years due to their wide applications, but preparation with high efficiency remains a challenge. Here this work, highly stable and bending-tolerant flexible heater was fabricated graphite nanosheets cellulose fibers through scalable papermaking procedure. Its property can be enhanced by hot-pressing treatment introduction of cationic polyacrylamide (CPAM) during the protocol. The may quickly reach its maximum...
Efficient utilization of agricultural wastes and reduction chemical fertilizer inputs are crucial for sustainable development agriculture. Plant growth promoting rhizobacteria (PGPR) widely used as biofertilizers to partially replace fertilizers in production. The functional performance PGPR strains is closely related their root colonization capacity. Some organic acids from exudates can recruit colonize the root. In this study, such mushroom bran tobacco waste materials were produce through...