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Coretan Kata
Kesabaran, keikhlasan, dan model terbaik yang mencetak semua profesi. Tidak pernah lelah ataupun menyerah untuk membenahi akhlak generasi yang hampir punah. Mengabdi demi Negeri yang kita cintai. Kegigihan serta konsistensi untuk mendorong semangat baru kepada pemburu ilmu. Memburu ilmu untuk membuka jendela dunia. Mempelajari setiap syair dan memaknai setiap bait pengetahuan yang telah diberikan. Kini sedikit tentang guru baik fiksi maupun nonfiksi tertuang dalam “Coretan Kata”. Sosok yang dari nama profesinya pun sudah terbayang keistimewaan pribadinya. Di keseharian tentu kita pernah berinteraksi dengan mereka. Atau mungkin saat ini sosok tersebut yang menjadi inspirasi? Tentu banyak kisah yang pernah dilalui dan menjadi “Coretan Kata” istimewa di dalamnya.
Ada Pelangi di Pondokku
JUDUL BUKU : Ada Pelangi di Pondokku PENULIS : Andin Hevi Zahrah| Adinda Sania| Eccah Vita Lestari| Jabirah Salsabila| Balqis Thea Darma| Putri Alma| Olivia Rahmadani| Keylla Enjelia| Rijky Cahya Ramadhani| Bunga Karisa| Nicen okti Salsabela| Nabilah Rahmadani| Tasya Elsasapira| Yulitri| Hesti Laura Agmi| Ratu Khoirunnisa| Sheren Chelsea Kiranda| Regi Dwi Aprinda| Sellyan| Dinda Khumaira| Callista Mawardani NO. QRCBN : 62-39-3611-846 PENERBIT : GUEPEDIA TAHUN TERBIT : Mei 2023 JENIS BUKU : BUKU CERPEN, NON FIKSI KONDISI BUKU : BUKU BARU / BUKU ORIGINAL ASLI, LANGSUNG DARI PENERBITNYA DESKRIPSI BUKU : Buku “Ada Pelangi di Pondokku” juga menjadi bukti bahwa anak-anak muda Indonesia memilik...
Medical Image Registration
Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid
Knowledge Discovery in Big Data from Astronomy and Earth Observation
Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants. Addresses both astronomy and geosciences in parallel, from a big data perspective Includes introductory information, key principles, applications and the latest techniques Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields
