Browsing ODA Open Digital Archive by Author "Krejcar, Ondrej"
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Edge information based image fusion metrics using fractional order differentiation and sigmoidal functions
Sengupta, Animesh; Seal, Ayan; Krejcar, Ondrej; Yazidi, Anis (IEEE Access;Volume: 8, Journal article; Peer reviewed, 2020)In recent years, the number of image fusion schemes presented by the research community has increased significantly. Measuring the performance of these schemes is an important issue. In this work, we introduce three ... -
Facial Expression Recognition Using Local Gravitational Force Descriptor-Based Deep Convolution Neural Networks
Mohan, Karnati; Seal, Ayan; Krejcar, Ondrej; Yazidi, Anis (IEEE Transactions on Instrumentation and Measurement;Volume 70, Journal article; Peer reviewed, 2020-10-16)An image is worth a thousand words; hence, a face image illustrates extensive details about the specification, gender, age, and emotional states of mind. Facial expressions play an important role in community-based interactions ... -
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach
Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ... -
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach
Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ... -
S-Divergence-Based Internal Clustering Validation Index
Sharma, Krishna Kumar; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (Peer reviewed; Journal article, 2023)A clustering validation index (CVI) is employed to evaluate an algorithm’s clustering results. Generally, CVI statistics can be split into three classes, namely internal, external, and relative cluster validations. Most ...