Deep Learning Dan Implementasinya Dalam Deteksi Kerusakan Jalan

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Deep Learning Dan Implementasinya Dalam Deteksi Kerusakan Jalan

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Author : La Ode Muhammad Golok Jaya
language : id
Publisher: CV. Literasi Indonesia
Release Date : 2025-01-16

Deep Learning Dan Implementasinya Dalam Deteksi Kerusakan Jalan written by La Ode Muhammad Golok Jaya and has been published by CV. Literasi Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-16 with Art categories.

Buku ini menyajikan pemahaman mendalam tentang bagaimana teknologi pengolahan citra digital, khususnya deep learning, dapat merevolusi cara kita mengelola infrastruktur jalan. Dengan fokus pada deteksi kerusakan jalan, buku ini mengupas tuntas penggunaan citra satelit dan drone sebagai sumber data utama. Pembahasan dimulai dari dasar-dasar pengolahan citra digital, menjelaskan konsep-konsep kunci seperti segmentasi, klasifikasi, dan deteksi objek. Kemudian, buku ini masuk ke dalam dunia deep learning, dengan menyoroti arsitektur-arsitektur neural network yang paling relevan untuk deteksi kerusakan jalan, seperti You Only Look Once (YOLO). Salah satu bagian yang menarik adalah pembahasan tentang pengumpulan dan persiapan data. Buku ini memberikan materi lengkap tentang cara mengumpulkan citra satelit dan drone, serta teknik-teknik untuk menandai dan melatih model deep learning. Selain itu, buku ini juga membahas tantangan unik yang dihadapi dalam deteksi kerusakan jalan, seperti variasi kondisi cuaca, pencahayaan, dan jenis kerusakan. Sebagai penutup, buku ini menyajikan berbagai studi kasus dan contoh penerapan teknologi ini di dunia nyata. Pembaca akan diajak untuk melihat bagaimana deep learning telah digunakan untuk mendeteksi retak, lubang, dan kerusakan jalan lainnya, serta bagaimana hasil deteksi ini dapat digunakan untuk perencanaan pemeliharaan jalan yang lebih efektif.

Implementasi Deep Learning Dan Computer Vision Untuk Analisis Kerusakan Jalan

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Author : Rian Rahmanda Putra
language : id
Publisher: Penerbit NEM
Release Date : 2025-01-01

Implementasi Deep Learning Dan Computer Vision Untuk Analisis Kerusakan Jalan written by Rian Rahmanda Putra and has been published by Penerbit NEM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-01 with Business & Economics categories.

Buku ini adalah panduan komprehensif tentang penerapan deep learning dalam deteksi objek, khususnya untuk deteksi kerusakan jalan. Buku ini tidak hanya menyajikan konsep teoretis, tetapi juga dilengkapi dengan software deteksi kerusakan jalan dan kode pemrograman menggunakan algoritma Single Shot Detector (SSD) melalui platform Google Colab. Bab 1 memperkenalkan dasar-dasar deep learning dan computer vision, diikuti oleh Bab 2 yang menjelaskan elemen-elemen kunci dalam kerangka kerja computer vision. Bab 3 membahas perbedaan antara object detection dan image processing, sementara Bab 4 mengklasifikasikan berbagai pendekatan pemodelan object detection yang umum digunakan. Bab 5 mendalami arsitektur dan konfigurasi SSD, dengan pembahasan teknis mengenai parameter yang diperlukan untuk mengembangkan model deteksi objek yang efisien. Di Bab 6, pembaca diajak mempraktikkan pengembangan model SSD melalui contoh studi kasus deteksi kerusakan jalan. Buku ini ideal bagi mahasiswa, peneliti, dan praktisi yang ingin mendalami penerapan deep learning dan computer vision dalam pemantauan infrastruktur.

Artificial Intelligence Dengan Model Diskriminatif Dan Model Generatif Pendekatan Saintifik Populer Pada Riset Kolaboratif

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Author : Adriyendi Adriyendi
language : id
Publisher: Penerbit Widina
Release Date : 2025-05-07

Artificial Intelligence Dengan Model Diskriminatif Dan Model Generatif Pendekatan Saintifik Populer Pada Riset Kolaboratif written by Adriyendi Adriyendi and has been published by Penerbit Widina this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.

Artificial Intelligence (AI) memiliki potensi besar dan banyak manfaat dalam hal otomatisasi data, analisa informasi, dan pengambilan keputusan cerdas. AI ampuh untuk meningkatkan produktivitas, efisiensi, dan inovasi. Model diskriminatif mengacu pada kelas model yang digunakan dalam statistik yang digunakan untuk pembelajaran mesin atau Machine Learning (ML) yang diawasi atau Supervised Learning (SL). Model diskriminatif unggul dalam membedakan pola yang benar dan membuat prediksi yang tepat. Model generatif merupakan model ML tanpa pengawasan atau Unsupervised Learning (UL). Model generatif mampu menghasilkan sampel data sintetik baru yang secara statistik serupa dengan yang diamati oleh data. Pengelolaan AI berpedoman pada etika AI yaitu: kebermanfaatan, keamanan, akuntabilitas, keadilan, kompetensi, dan kendali tata kelola. AI memungkinkan mesin komputasi untuk mengambil keputusan secara otonom atas nama pemangku kepentingan manusia. Transparansi terhadap kompleksitas AI dapat membantu untuk memastikan bahwa data tidak bias (bias data training, bias algorithm, bias cognitive). Teknologi AI digunakan untuk peran analitis (peran manajemen data dan tugas kognitif), peran penggunaan prediktif (pembuatan kebijakan), dan peran praktik operasional (proteksi data dan keamanan informasi) dalam konteks masa lalu, masa kini, dan masa depan.

Bunga Rampai Lombok Writing Festival

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Author : Maulidya Niasul Karimah, dkk
language : id
Publisher: Penerbit P4I
Release Date : 2024-12-11

Bunga Rampai Lombok Writing Festival written by Maulidya Niasul Karimah, dkk and has been published by Penerbit P4I this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Education categories.

“Bunga Rampai: Lombok Writing Festival” adalah kumpulan karya sastra yang mengangkat berbagai tema dan perspektif dari penulis-penulis berbakat yang berpartisipasi dalam festival penulisan di Lombok. Buku ini menyajikan beragam genre, mulai dari puisi, cerpen, hingga esai, yang mencerminkan kekayaan budaya dan keindahan alam Lombok. Setiap penulis mengekspresikan pengalaman, cerita, dan refleksi mereka yang terinspirasi oleh lingkungan sekitar, masyarakat lokal, serta tradisi yang ada. Dalam buku ini, pembaca diajak untuk merasakan kehangatan dan keanekaragaman budaya Lombok, sekaligus menggugah rasa cinta terhadap sastra. Melalui “Bunga Rampai,” para penulis tidak hanya berbagi karya, tetapi juga menyampaikan pesan akan pentingnya menjaga dan merayakan identitas budaya melalui kata-kata. Buku ini menjadi jembatan antara penulis dan pembaca, mengajak kita untuk memahami dan menghargai keindahan yang ada di sekitar kita. Dengan bahasa yang menggugah dan cerita yang mendalam, “Bunga Rampai: Lombok Writing Festival” adalah sebuah karya yang tak hanya memanjakan pembaca, tetapi juga menginspirasi untuk terus berkarya dan menghargai sastra.

Deep Learning

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Author : Dhimas Tribuana
language : id
Publisher: Serasi Media Teknologi
Release Date : 2025-06-28

Deep Learning written by Dhimas Tribuana and has been published by Serasi Media Teknologi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-28 with Computers categories.

Deep learning merupakan cabang dari machine learning yang menggunakan jaringan saraf tiruan (artificial neural networks) dengan banyak lapisan (deep neural networks) untuk memproses data. Teknologi ini meniru cara kerja otak manusia dalam mengenali pola dan membuat keputusan. Deep learning sangat efektif dalam menangani data besar dan kompleks, seperti gambar, suara, dan teks. Beberapa penerapan utamanya meliputi pengenalan wajah, terjemahan bahasa otomatis, kendaraan otonom, serta deteksi penyakit melalui citra medis. Model deep learning belajar dari data secara bertahap melalui proses pelatihan, di mana bobot pada jaringan disesuaikan untuk meminimalkan kesalahan prediksi. Semakin banyak data dan sumber daya komputasi yang tersedia, semakin akurat hasil yang diperoleh. Meskipun powerful, deep learning juga memerlukan banyak data dan waktu pelatihan yang lama. Dengan perkembangan teknologi, deep learning menjadi fondasi utama dalam kecerdasan buatan modern yang mendorong inovasi di berbagai bidang.

Advances And Applications In Deep Learning

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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-12-09

Advances And Applications In Deep Learning written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-09 with Computers categories.

Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike.

Deep Learning Theory Architectures And Applications In Speech Image And Language Processing

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Author : Gyanendra Verma
language : en
Publisher: Bentham Science Publishers
Release Date : 2023-08-21

Deep Learning Theory Architectures And Applications In Speech Image And Language Processing written by Gyanendra Verma and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-21 with Computers categories.

This book is a detailed reference guide on deep learning and its applications. It aims to provide a basic understanding of deep learning and its different architectures that are applied to process images, speech, and natural language. It explains basic concepts and many modern use cases through fifteen chapters contributed by computer science academics and researchers. By the end of the book, the reader will become familiar with different deep learning approaches and models, and understand how to implement various deep learning algorithms using multiple frameworks and libraries. This book is divided into three parts. The first part explains the basic operating understanding, history, evolution, and challenges associated with deep learning. The basic concepts of mathematics and the hardware requirements for deep learning implementation, and some of its popular frameworks for medical applications are also covered. The second part is dedicated to sentiment analysis using deep learning and machine learning techniques. This book section covers the experimentation and application of deep learning techniques and architectures in real-world applications. It details the salient approaches, issues, and challenges in building ethically aligned machines. An approach inspired by traditional Eastern thought and wisdom is also presented. The final part covers artificial intelligence approaches used to explain the machine learning models that enhance transparency for the benefit of users. A review and detailed description of the use of knowledge graphs in generating explanations for black-box recommender systems and a review of ethical system design and a model for sustainable education is included in this section. An additional chapter demonstrates how a semi-supervised machine learning technique can be used for cryptocurrency portfolio management. The book is a timely reference for academicians, professionals, researchers and students at engineering and medical institutions working on artificial intelligence applications.

Advanced Deep Learning With Tensorflow 2 And Keras

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Author : Rowel Atienza
language : en
Publisher:
Release Date : 2020

Advanced Deep Learning With Tensorflow 2 And Keras written by Rowel Atienza and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Advanced Deep Learning Strategies For The Analysis Of Remote Sensing Images

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Author : Yakoub Bazi
language : en
Publisher: MDPI
Release Date : 2021-06-15

Advanced Deep Learning Strategies For The Analysis Of Remote Sensing Images written by Yakoub Bazi and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Science categories.

The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.

Advances In Machine Learning Deep Learning Based Technologies

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Author : George A. Tsihrintzis
language : en
Publisher: Springer Nature
Release Date : 2021-08-05

Advances In Machine Learning Deep Learning Based Technologies written by George A. Tsihrintzis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-05 with Technology & Engineering categories.

As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.