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MEWT-Enhanced EEGNet for ASD EEG Classification: Performance Evaluation with k-Fold Cross-Validation

DOI : 10.35882/ijeeemi.v8i1.313
Imam Fathur Rahman (1), Melinda Melinda (2), Yunidar Yunidar (3), Nurlida Basir (4), Aufa Rafiki (5)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Nilai Negeri Sembilan, Malaysia, Malaysia ,
(5) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia
56-69
Abstract : 705
pdf : 443

Automated Z-Score Based Nutritional Status Classification for Children Under Two Using Smart Sensor System

DOI : 10.35882/ijeeemi.v7i4.111
Yunidar Yunidar (1), Melinda Melinda (2), Rina Ridara (3), Nurlida Basir (4)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Nilai Negeri Sembilan, Malaysia, Malaysia
559-571
Abstract : 913
pdf : 840

Performance Comparison of Variational Mode Decomposition and Butterworth in Processing EEG Signals of Autism Patients

DOI : 10.35882/ijeeemi.v7i3.105
Surya Wardana (1), Melinda Melinda (2), Rizka Ramdhana (3), Yunidar Yunidar (4), Yuwaldi Away (5), Nurlida Basir (6)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(5) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(6) Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), 71800 Nilai Negeri Sembilan, Malaysia, Malaysia
461-474
Abstract : 925
pdf : 1147

Data Splitting Strategies for Down Syndrome Facial Classification: A Comparative Study Using EfficientNet-B0 and MobileNetV2

DOI : 10.35882/ijeeemi.v8i3.338
Dzaki Dhiya Ul-Haq (1), Yunidar Yunidar (2), Melinda Melinda (3), Nurlida Basir (4), Rosmawinda Rosmawinda (5)
(1) Department of Electrical Engineering and Computer, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(2) Department of Electrical Engineering and Computer, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical Engineering and Computer, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Nilai Negeri Sembilan, Malaysia, Malaysia ,
(5) Department of Electrical Engineering and Computer, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia
299-316
Abstract : 247
pdf : 316
1 - 4 of 4 items