Items where Author is "Universitas Yudharta Pasuruan, Lukman Hakim"

Universitas Yudharta Pasuruan, Lukman Hakim (2022) Monte Carlo method at the 24 game and its application for mathematics education. Journal of Honai Math, 5 (2). pp. 83-94. ISSN 2615-2193

Universitas Yudharta Pasuruan, Lukman Hakim (2022) Improvement for Single Image Super-resolution and Image Segmentation by Graph Laplacian Regularizer based on Differences of Neighboring Pixels. INASS The Intelligent Network and Systems Society, 15 (1). pp. 95-105.

Universitas Yudharta Pasuruan, Lukman Hakim (2021) Single-Image Super-Resolution Reconstruction Based on the Differences of Neighboring Pixels. In: International Conference on Neural Information Processing, Japan.

Universitas Yudharta Pasuruan, Lukman Hakim (2021) Regularizer based on Euler characteristic for retinal blood vessel segmentation. Pattern Recognition Letters, 12 (12). ISSN 0167-8655

Universitas Yudharta Pasuruan, Lukman Hakim (2020) Preprocessing of Skin Images and Feature Selection for Early Stage of Melanoma Detection using Color Feature Extraction. International Journal of Artificial Intelligent Research, 4 (2). pp. 99-106. ISSN 2579-7298

Universitas Yudharta Pasuruan, Lukman Hakim (2020) Transfer Learning by Cascaded Network to Identify and Classify Lung Nodules for Cancer Detection. Springer Link, 1212.

Universitas Yudharta Pasuruan, Lukman Hakim (2019) U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. In: International Conference on Neural Information Processing, Japan.

Universitas Yudharta Pasuruan, Lukman Hakim (2018) KLASIFIKASI DIABETIC RETINOPATHY MENGGUNAKAN SELEKSI FITUR DAN SUPPORT VECTOR MACHINE. Jurnal Resistor (Rekayasa Sistem Komputer), 1 (2). pp. 109-117. ISSN 2598-9650

Alat Peraga (2018) MEDIA EDUKASI (ALAT PERAGA) KARTU AJAIB PERMAINAN PILAH JENIS SAMPAH (KALIPAH). EC00201824806.

Universitas Yudharta Pasuruan, Lukman Hakim Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation. IEEE xplore. ISSN 978-4-8868-6425-3