Bo Lang

Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Composition

Cybersecurity data science: an overview from machine learning perspective

A Hybrid Cross Layer with Harris-Hawk-Optimization-Based Efficient Routing for Wireless Sensor Networks

Epithelial–mesenchymal transition in breast cancer correlates with high histological grade and triple‐negative phenotype

Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

Machine Learning: Algorithms, Real-World Applications and Research Directions

Addressing cloud computing security issues

Integration of Cloud computing and Internet of Things: A survey

The rise of “big data” on cloud computing: Review and open research issues

Unsupervised Topic Hypergraph Hashing for Efficient Mobile Image Retrieval

Large-Scale Multi-View Subspace Clustering in Linear Time

A survey of recent advances in visual feature detection

Machine Learning for Wireless Sensor Networks Security: An Overview of Challenges and Issues

Concept whitening for interpretable image recognition

Acquisition of chess knowledge in AlphaZero

AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

On the Design of a Decentralized and Multiauthority Access Control Scheme in Federated and Cloud-Assisted Cyber-Physical Systems

Smart healthcare and quality of service in IoT using grey filter convolutional based cyber physical system

Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare

Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization

Multimodal Machine Learning: A Survey and Taxonomy

Heregulin-β1 promotes metastasis of breast cancer cell line SKBR3 through upregulation of Snail and induction of epithelial-mesenchymal transition

A Flexible Attribute Based Access Control Method for Grid Computing

Large-Scale Unsupervised Hashing with Shared Structure Learning

Online semi-supervised annotation via proxy-based local consistency propagation

Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey

Contour detection model with multi-scale integration based on non-classical receptive field

Achieving Flexible and Self-Contained Data Protection in Cloud Computing

Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks

CNN and RNN based payload classification methods for attack detection