Perpustakaan Digital

Modern computer technology has opened up new opportunities for the development of digital signal processing methods. The applications of digital signal processing have expanded significantly and today include audio and speech processing, sonar, radar, and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, and seismology, among others. This Special Issue is aimed at wide coverage of the problems of digital signal processing, from mathematical modeling to the implementation of problem-oriented systems. The basis of digital signal processing is digital filtering. Wavelet analysis implements multiscale signal processing and is used to solve applied problems of de-noising and compression. Processing of visual information, including image and video processing and pattern recognition, is actively used in robotic systems and industrial processes

This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers. Related Books Biomedical Sensing and Imaging Biology & Life Sciences ... Data, Signal and Image Processing and Applications in Sensors II Engineering Advanced Sensing and Image Processing Techniques for Healthcare Applications Engineering Sensing and Signal Processing in Smart Healthcare Engineering Signal Processing Using Non-invasive Physiological Sensors Engineering The recommendations have been generated using an AI system. About

Modern agriculture faces the dual challenge of ensuring food production while preserving biodiversity and ecosystem resilience. Crop pests remain a major threat to global food security, yet heavy reliance on synthetic pesticides has led to pest resistance, loss of beneficial organisms, pollinator decline, and environmental contamination. Addressing these issues requires sustainable pest management strategies that minimize chemical inputs, enhance ecosystem services, and protect pollinators—the cornerstone of agricultural productivity. This Special Issue, “Pests, Pesticides, Pollinators and Sustainable Farming,” presents thirteen multidisciplinary papers advancing ecologically compatible crop protection. The studies span field ecology, biocontrol, precision agriculture, and pollinator-friendly management, offering a roadmap toward sustainable production aligned with the European Green Deal and the Farm to Fork Strategy. Contributions highlight the value of habitat diversification and pollinator conservation, the potential of essential oils, microbial agents, and entomopathogenic fungi as biopesticides, and the use of unmanned aerial systems, remote sensing, and artificial intelligence for precision pest detection.

Recently, the Journal of Risk and Financial Management completed a Special Issue comprising papers invited by Editorial Board Members, which included papers on a variety of topics related to applied financial economics and risk management. It contains a very diverse collection of papers that span many of the areas that the academic community is actively completing research on, making this Special Issue a leader in the disciplines in question. The aim was to provide an avenue for networking and communication between JRFM and scholars in the field of financial and economic risk and management, and the final collection represents a successful outcome. The printed collection of papers acts as an additional vehicle for the dissemination of this research that was published in the Special Issue, and hopefully will prove useful for research and teaching purposes alike.

This reprint delves into the cutting-edge developments and applications of nanomaterials in energy storage and catalysis. The journey through this reprint begins with an exploration of advanced nanomaterials designed for energy storage applications, including batteries, supercapacitors and fuel cells. It delves into the fundamental principles governing their design, synthesis, characterization and performance optimization, highlighting key breakthroughs and emerging trends. Transitioning into catalysis, the reprint showcases the pivotal role of nanomaterials in catalytic processes for energy conversion, environmental remediation and sustainable chemical engineering. Readers gain valuable insights into design strategies, catalytic mechanisms and performance enhancements enabled by nanomaterial-based catalysts, showcasing their potential to revolutionize diverse sectors. Throughout this reprint, an emphasis is placed on the interdisciplinary nature of nanomaterial research, highlight

In recent years, ironmaking and steelmaking have witnessed the incorporation of various new processes and technologies that can be operated and organized in different combinations depending on the properties of raw materials and the required quality of the final products. Indications from the steel industry and local and global government institutions suggest that the breakthrough technologies for decarbonization will be based on new fuels and energy vectors. For CO2-lean process routes, three major solutions have been identified: decarbonizing, whereby coal would be replaced by hydrogen or electricity in the hydrogen reduction or electrolysis of iron ore processes; the introduction of CCS technology; and the use of sustainable biomass. Today, hydrogen-based steelmaking is a potential low-carbon and economically attractive route, especially in countries where natural gas is cheap. By considering systems for increasing energy efficiency and reducing the environmental impact of steel

Current approaches to Natural Language Processing (NLP) have shown impressive improvements in many important tasks: machine translation, language modeling, text generation, sentiment/emotion analysis, natural language understanding, and question answering, among others. The advent of new methods and techniques, such as graph-based approaches, reinforcement learning, or deep learning, have boosted many NLP tasks to a human-level performance (and even beyond). This has attracted the interest of many companies, so new products and solutions can benefit from advances in this relevant area within the artificial intelligence domain.This Special Issue reprint, focusing on emerging techniques and trendy applications of NLP methods, reports on some of these achievements, establishing a useful reference for industry and researchers on cutting-edge human language technologies. Related Books Natural Language Processing: Emerging Neural Approaches and Applications Computer Science & Mathematics

This book contains 10 reviewed papers published as a Special Issue “Global and International Logistics” in the journal Sustainability, edited by Prof. Dr. Ryuichi Shibasaki, Prof. Dr. Daisuke Watanabe, and Dr. Tomoya Kawasaki. The topics of the papers contain the impact of logistics development under the China’s Belt and Road initiative (BRI) by using the improved gravity model, strategies against barriers to the BRI from a logistics and supply chain management perspective, the dynamic interaction between international logistics, and cross-border e-commerce trade, the effect of China’s restrictive programs on the international trade of waste products, the empty container repositioning problem of shipping companies with foldable containers, port capacity and connectivity improvement in the hub and feeder network in Indonesia, GHG emission scenarios for the maritime shipping sector using system dynamics, incorporating a shipping and shipbuilding market model, the emission inventory and

This Book includes selected papers that has been published in the Water journal Special Issue (SI) on Water Supply and Water Scarcity. Moreover, an overview of the SI is included. The papers selected for publication in the SI include review and research papers on water history, on water management issues under water scarcity regimes, on rainwater harvesting, on water quality and degradation, and on climatic variability impacts on water resources. Overall, the issue identify and highlight the main challenges in water sector, and particularly in management and protection of water resources and in use of alternative (non-conventional) water resources, especially in areas with demographic change and climate vulnerability in order to achieve sustainable and secure water supply. Furthermore, general guidelines and possible solutions for an improved and sophisticated water management system are proposed and discussed, such as the adoption of advanced technological solutions and practices tha

Judul: Laravel 13.x Offline Documentation Penulis / Penyusun: Mohammad Nurul Islam (Shihan) Deskripsi Ringkas: Dokumentasi resmi dan lengkap Laravel 13.x versi offline dalam format PDF. Buku ini membahas panduan pengembangan aplikasi web modern berbasis PHP 8.3, mencakup fitur-fitur unggulan seperti Laravel AI SDK, JSON:API Resources, Semantic & Vector Search, sistem routing, hingga keamanan dan pengujian aplikasi. Cocok sebagai referensi utama bagi pengembang web, backend developer, dan mahasiswa ilmu komputer yang membutuhkan panduan pemrograman Laravel secara praktis dan tanpa koneksi internet.

Think Python: Panduan Pemrograman Python dan Cara Berpikir Komputasional adalah buku panduan komprehensif yang dirancang untuk mempelajari konsep dasar hingga tingkat lanjut dalam bahasa pemrograman Python. Buku ini membantu pembaca memahami prinsip logika ilmu komputer, penyelesaian masalah, serta pengembangan perangkat lunak berbasis objek. Materi Utama yang Dibahas: Struktur Data Fundamental: Pemahaman mendalam mengenai manipulasi daftar (list) yang bersifat mutable, penggunaan kamus (dictionary) berbasis hashtable untuk pemetaan key-value, serta tuple yang immutable. Persistensi Data & Berkas: Pemrosesan pembacaan dan penulisan berkas teks, penggunaan basis data melalui modul dbm, dan penyimpanan objek program dengan modul pickle. Pemrograman Berorientasi Objek (OOP): Konsep pembuatan kelas (class) dan atribut, penggunaan metode khusus seperti __init__ dan __str__, operator overloading, hingga penerapan pewarisan (inheritance). Fitur Lanjutan Python: Optimalisasi kode menggunakan list comprehension, generator expression, himpunan (set), serta modul koleksi khusus seperti Counter dan defaultdict Buku ini sangat cocok bagi mahasiswa, pengembang pemula, maupun praktisi yang ingin menguasai pemrograman Python secara terstruktur dan efisien.

Buku Open Data Structures (in C++) karya Pat Morin merupakan panduan komprehensif dan open-source yang dirancang untuk mempelajari konsep dasar, perancangan, serta analisis struktur data dan algoritma berbasis pemrograman C++. Buku ini membahas secara mendalam berbagai struktur data esensial—seperti Array-based Lists (ArrayStack, ArrayQueue, ArrayDeque), Linked Lists (SLList, DLList, SEList), Skiplists, Hash Tables, Binary Trees, hingga Graph dan B-Trees—lengkap dengan analisis kompleksitas waktu (Big-Oh notation), efisiensi memori, serta penggunaan teknik probabilistik/randomisasi. Buku ini sangat cocok sebagai referensi utama bagi mahasiswa ilmu komputer, pemrogram, dan praktisi pengembang perangkat lunak yang ingin menguasai efisiensi kode serta optimasi performa sistem secara praktis dan teoritis.

Baca dan unduh buku gratis "Open Data Structures (in Java)" karya Pat Morin. Panduan lengkap belajar algoritma, struktur data Java, analisis kompleksitas Big-Oh, dan pengoptimalan memori untuk mahasiswa dan pemrogram.

Open Data Structures (in pseudocode) adalah buku teks terbuka (open-source) yang ditulis oleh Pat Morin. Buku ini dirancang khusus untuk memberikan akses materi struktur data dan algoritma berkualitas tinggi secara gratis kepada mahasiswa ilmu komputer dan praktisi pemrograman di bawah lisensi Creative Commons Attribution.12345 Ringkasan & Keunggulan Utama Buku Akses Terbuka & Open-Source: Materi, kode sumber LaTeX, pseudocode, dan skrip penyusun tersedian secara terbuka sehingga bebas dipelajari, disebarkan, maupun disesuaikan.35 Pendekatan Pseudocode yang Inklusif: Menggunakan pseudocode yang mudah dipahami dan dikonversi secara tepat dari bahasa pemrograman seperti Python, C++, dan Java.67 Analisis Kinerja & Kompleksitas: Penjelasan mendalam mengenai kompleksitas waktu dan ruang (Big-Oh notation), worst-case, amortized, serta expected running times.8910111213 Topik Utama yang Dibahas Pengantar & Landasan Matematika Antarmuka abstrak data (Interfaces): Queue, Stack, Deque, List, USet, dan SSet.141516171819 Notasi Asimptotik (Big-Oh Notation), Eksponensial, Logaritma, Probabilitas, dan Model Komputasi word-RAM.102021132223 Struktur Data Berbasis Array (Array-Based Lists) ArrayStack, FastArrayStack, ArrayQueue, ArrayDeque, DualArrayDeque, dan RootishArrayStack yang efisien dalam menghemat ruang memori.242526272829 Senarai Berantai (Linked Lists) SLList (Singly-Linked List), DLList (Doubly-Linked List), dan SEList (Space-Efficient Linked List).303132 Skiplist SkiplistSSet dan SkiplistList berbasis teknik probabilistik untuk operasi pencarian, penambahan, dan penghapusan dalam waktu O(log n).33343536 Tabel Hash (Hash Tables) ChainedHashTable, LinearHashTable, teknik Multiplicative Hashing, Tabulation Hashing, serta pembuatan kode hash (Hash Codes).3738394041 Pohon Biner & Pohon Pencarian Biner (Trees & BST) BinaryTree, BinarySearchTree, Random Binary Search Trees, Treap, Scapegoat Trees, dan Red-Black Trees.424344454647 Heap & Algoritma Pengurutan (Heaps & Sorting Algorithms) BinaryHeap dan MeldableHeap.4849 Algoritma pengurutan berbasis perbandingan (Merge-Sort, Quicksort, Heap-sort) serta pengurutan non-perbandingan (Counting Sort, Radix-Sort).5051525354 Graf & Struktur Data Khusus (Graphs & Advanced Structures) Matriks ketetanggaan (AdjacencyMatrix), senarai ketetanggaan (AdjacencyLists), serta penelusuran graf BFS (Breadth-First Search) dan DFS (Depth-First Search).55565758 Struktur data khusus integer (BinaryTrie, XFastTrie, YFastTrie) dan pencarian memori eksternal (B-Trees)