A novel molecular representation with BiGRU neural networks for learning atom

X Lin, Z Quan, ZJ Wang, H Huang… - Briefings in …, 2020 - academic.oup.com
Molecular representations play critical roles in researching drug design and properties, and
effective methods are beneficial to assisting in the calculation of molecules and solving …

Artificial intelligence in spinal imaging: current status and future directions

Y Cui, J Zhu, Z Duan, Z Liao, S Wang… - International journal of …, 2022 - mdpi.com
Spinal maladies are among the most common causes of pain and disability worldwide.
Imaging represents an important diagnostic procedure in spinal care. Imaging investigations …

Real-time apple detection system using embedded systems with hardware accelerators: An edge AI application

V Mazzia, A Khaliq, F Salvetti, M Chiaberge - Ieee Access, 2020 - ieeexplore.ieee.org
Real-time apple detection in orchards is one of the most effective ways of estimating apple
yields, which helps in managing apple supplies more effectively. Traditional detection …

Ternary compression for communication-efficient federated learning

J Xu, W Du, Y Jin, W He… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Learning over massive data stored in different locations is essential in many real-world
applications. However, sharing data is full of challenges due to the increasing demands of …

Artificial intelligence and internet of things in screening and management of autism spectrum disorder

T Ghosh, MH Al Banna, MS Rahman, MS Kaiser… - Sustainable Cities and …, 2021 - Elsevier
Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …

A hybrid deep learning CNN–ELM for age and gender classification

M Duan, K Li, C Yang, K Li - Neurocomputing, 2018 - Elsevier
Automatic age and gender classification has been widely used in a large amount of
applications, particularly in human-computer interaction, biometrics, visual surveillance …

A survey on algorithms for intelligent computing and smart city applications

Z Tong, F Ye, M Yan, H Liu… - Big Data Mining and …, 2021 - ieeexplore.ieee.org
With the rapid development of human society, the urbanization of the world's population is
also progressing rapidly. Urbanization has brought many challenges and problems to the …

A new artificial intelligence approach using extreme learning machine as the potentially effective model to predict and analyze the diagnosis of anemia

DCE Saputra, K Sunat, T Ratnaningsih - Healthcare, 2023 - mdpi.com
The procedure to diagnose anemia is time-consuming and resource-intensive due to the
existence of a multitude of symptoms that can be felt physically or seen visually. Anemia also …

Multi-objective design of the energy storage-based combined heat and power off-grid system to supply of thermal and electricity consumption energies

SM Rashid, A Zare-Ghaleh-Seyyedi… - Journal of Energy …, 2023 - Elsevier
Simultaneous consumption of electrical and thermal energy management, together with
economic and technical advantages of close-to-consumption feeding of consumers, has …

Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system

S Tabatabaei, K Rezaee, M Zhu - Biomedical Signal Processing and …, 2023 - Elsevier
Most primary brain malignancies are malignant tumors characterized by masses of
abnormal tissue that grow uncontrollably. Recently, deep transfer learning (DTL) has been …