
Data Algorithms
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Bài giảng Cấu trúc dữ liệu và giải thuật (Data Structures & Algorithms) gồm có những nội dung: Chương 1: Tổng quan về giải thuật và cấu trúc dữ liệu; Chương 2: Các chiến lược thiết kế giải thuật; Chương 3: Cấu trúc dữ liệu động: con trỏ, danh sách liên kết, danh sách đơn; Chương 3: Ngăn xếp, hàng đợi; Chương 4: Tìm kiếm và sắp xếp; Chương 5: Cấu trúc Cây: cây nhị phân, cây nhị phân tìm kiếm, cây cân bằng , B-tree, cây đỏ đen; Chương 6: Bảng băm; Chương 6: Đồ thị.
163p
hoatrongguong02
15-05-2025
3
1
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In this paper, we propose a single-step Deep Neural Network (DNN) for CE, termed Iterative Sequential DNN (ISDNN), inspired by recent developments in data detection algorithms. ISDNN is a DNN based on the projected gradient descent algorithm for CE problems, with the iterative iterations transforming into a DNN using the deep unfolding method.
7p
vijiraiya
19-05-2025
1
1
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Lecture Cryptography: Modern Symmetric Ciphers (Part 1) focuses on classical symmetric cipher algorithms and introduces modern techniques. The lecture explores block ciphers, stream ciphers, and provides an in-depth analysis of the Data Encryption Standard (DES). This serves as a foundation for understanding advanced symmetric encryption. Please refer to the lecture for more details!
64p
hoatrongguong03
15-05-2025
1
1
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p
01-01-1970
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This article proposes a distributed algorithm to deal with this problem, called the distributed algorithm for sequential pattern mining on a large sequence dataset using dynamic vector bit structures on the MapReduce distributed programming model (DSPDBV).
10p
visarada
28-04-2025
1
1
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In this article, we will discuss the use of a database, called Churn Modeling, which collects statistical data from banks. We will also explore the application of the BernoulliNB algorithm, combined with the incremental machine learning method, to process streaming data and analyze and predict customer churn rates in banks.
10p
visarada
28-04-2025
1
1
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This project presents a facial recognition-based time-tracking system that aims to improve the process of monitoring employee attendance. The system utilizes the LBPH (Local Binary Patterns Histograms) algorithm to collect and analyze facial data in real-time, allowing for accurate identification of individuals even in varying lighting conditions and from different angles.
10p
visarada
28-04-2025
1
1
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The paper will present the design of techniques for building an application for testing and evaluating knowledge in the Data Structures and Algorithms course. This application will be a useful tool for both instructors and students, thereby enhancing the quality of teaching and learning in Information Technology-related subjects.
10p
viling
11-10-2024
4
1
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This paper introduces a new clustering technique based on granular computing. In tradional clustering algorithms, the integration of the high shaping capability of the existing datasets becomes fussy which in turn results in inferior functioning.
8p
viling
11-10-2024
3
1
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Accurate daily load forecasting is critical for effective energy management planning. In this study, the article proposes a new method for daily load forecasting that takes advantage of load data and weather data over time in Tien Giang.
10p
viengfa
28-10-2024
1
1
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In recent years, landslides are taking place very seriously, and tend to increase in both scope and scale, threatening people's lives and properties. Therefore, timely detection of landslide areas is extremely important to minimize damage. In this paper, an improved algorithm for partitioning data with reliability problems using multiple fuzzifiers named as TSSFC is introduced.
9p
viengfa
28-10-2024
5
2
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The chosen algorithm for this project is the MLP (Multi-layer Perceptron) classifier, which has seen significant development in recent years and has widespread applications in various Al domains. This is why it has been selected as the foundation for the system in this project. The research topic aims to utilize this algorithm to construct a system that rapidly predicts whether a mushroom is edible or poisonous, facilitating practical applications.
13p
viuzumaki
28-03-2025
6
1
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The research is focused on exploring the applications of Artificial Intelligence algorithms in handling diagnostic wine quality data. The article discusses the successful implementation of the Decision Tree algorithm for this purpose. This drives the main research goal, which revolves around integrating the Decision Tree with flexible sliding window techniques that can continuously adapt and update over time.
12p
viuzumaki
28-03-2025
2
1
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The paper builds a computational model of a multisubcarrier free space optic, a variant of the Subcarrier Intensity Modulation Free Space Optic (SIM-FSO), establishes algorithmic flowcharts, writes a computational program to investigate the system performance under various modulation methods, air turbulence levels and different numbers of subcarriers and data rates.
6p
viaburame
14-03-2025
6
1
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This paper presents optimization results of the Al6061 surface roughness in turning ultra-precision based on the central composite design method (CCD) and the grey wolf optimization algorithm (GWO). The experimental matrix is built with three independent variables including spindle speed, feed rate and depth of cut. With the experimental data, the roughness regression model is established.
7p
viaburame
14-03-2025
5
1
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This article studies developing an algorithm called KalmanEMD with the combination of Kalman filter and empirical mode decomposition for processing this signal type. The algorithm is applied in 6 data sets measuring the shockwave pressure of underwater explosions by PCB W138A05 sensors with the same condition that 184 grams of A-IX-2 explosive is detonated underwater.
15p
viyoko
01-10-2024
1
1
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This paper also discusses practical applications of object detection in satellite images, including environmental monitoring, resource management, and disaster response. Finally, the paper suggests potential future research directions, such as developing more efficient models, handling small objects, and leveraging diverse data sources.
9p
vihyuga
20-02-2025
6
1
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This paper demonstrates that, using multiple data points around each gateway allows for the creation of accurate coverage heat maps by using a proposed LoRaWAN coverage estimation algorithm. This method effectively identifies areas with varying signal strength across Da Nang City, highlighting where additional gateways are needed to improve network reliability.
6p
vihyuga
20-02-2025
17
1
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Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.
21p
viyamanaka
06-02-2025
2
1
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This article presents a semisupervised fuzzy c-means clustering algorithm based on the collaborative clustering model (CSFCM) on distributed systems applied to the problem of land cover classification from remote sensing data.
14p
viyamanaka
06-02-2025
2
1
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