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1
“Analysis of EEG Recordings During Grasp and Lift (GAL) Trials
Published 2018“…Throughout this project, we managed to get the classification accuracy of 6 events for 26.6% and 58.5% while for 2 events of up to 67.4% and 96% using 6 channels for both algorithms respectively.…”
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2
The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
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Thesis -
3
Review of Wheat Disease Classification and Severity Detection Models
Published 2023“…In order to fully grasp the core technology of wheat disease recognition, this paper reviews the research of deep learning technology in wheat leaf disease classification and wheat disease severity. …”
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4
Modified word representation vector based scalar weight for contextual text classification
Published 2024“…In addition, a contextual text classification experiment is conducted using benchmarked datasets to assess the performance of the modified word vectors in the targeted classification task. …”
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Thesis -
5
Exploring the impact of social media on political discourse: a case study of the Makassar mayoral election
Published 2024“…Election dynamics are examined using the naïve Bayes approach. To increase the accuracy and efficiency of text mining operations, especially in result validation, text clustering, and classification, the k-means algorithm and support vector machines (SVM) were used. …”
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6
Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification
Published 2019“…The current study of the hand posture classification requires a higher number of EMG sensor used to achieve an accurate classification performance that leads the system to be complicated. …”
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Camera geometry determination based on circular's shape for peg-in-hole task
Published 2019“…The spool can only be grasped and pulled out from the front side and cannot be grasped using robot arm and gripper. …”
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Thesis -
9
Vision-based autonomous robot body alignment for copper wire spool pick up
Published 2019“…The spool can only be grasped and pulled out from the front side and cannot be grasped using robot arm and gripper. …”
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