Muhammad Bashir Abdullahi

Also published under:Muhammad Abdullahi

Affiliation

Computer Science Department, Federal University of Technology, Minna, Nigeria

Topic

Anopheles Mosquitoes,Authentication Mechanism,Bacteremia,Base Station,Body Area Networks,Clustering Techniques,Communication Cost,Communication Overhead,Computational Cost,Computational Operations,Computational Overhead,Convolution Operation,Convolutional Layers,Convolutional Neural Network,Corner Points,Decision Tree,Dense Layer,Detection Of Malaria Parasites,Different Sets Of Data,Dilated Convolutional Neural Network,Dilation Rate,Direct Classification,Distribution Strategy,Dried Blood Spots,Efficient Distribution,Elliptic Curve,Fastest Way,Feature Maps,Field Of Computing,Hash Function,Healthcare Service Providers,Image Classification,Image Properties,Important Task,Key Distribution,Key Establishment Scheme,Key Exchange,Learning Algorithms,Low-level Features,Machine Learning,Machine Learning Methods,Machine Learning Techniques,Malaria Diagnosis,Malaria Species,Management Methods,Mutual Authentication,Optical Character Recognition,Parasite Detection,Parasite Species,Performance Metrics,

Biography

Muhammad Bashir Abdullahi received B.Tech (Honors) in Mathematics/Computer Science from Federal University of Technology, Minna-Nigeria and M.Sc.in Computer Science from Abubakar Tafawa Balewa University, Bauchi-Nigeria. He is currently a Ph.D. candidate at the Trusted Computing Institute, Central South University, P. R. China. His current research interests include trust, security and privacy issues in wireless sensor and ad hoc networks, Internet of things and network and information security.