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Fitch Graph Completion
Horizontal gene transfer is an important contributor to evolution. According to Walter M. Fitch, two genes are xenologs if they are separated by at...
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Improved Bounds for the Binary Paint Shop Problem
We improve bounds for the binary paint shop problem posed by Meunier and Neveu [Computing solutions of the paintshop-necklace problem. Comput. Oper....
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Solving Systems of Linear Equations Through Zero Forcing Set
Let \(\mathbb {F}\) be any field, we consider...
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Graph Clustering Through Users’ Properties and Social Influence
Clustering is a basic technology in data mining, and similarity measurement plays a crucial role in it. The existing clustering algorithms,...
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Improved Approximation for Broadcasting in k-Path Graphs
Broadcasting is an information dissemination primitive where a message is passed from one node (called originator) to all other nodes in the network....
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Speed-Invariant Gait Recognition Using Correlation Factor Lists for Classroom Attendance Systems
The way a person walks is an important biometric used in many human detection applications, including classroom attendance systems. In such...
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Effectiveness of Influencer Marketing on Gen Z Consumers
With the growing popularity of influencer marketing among Gen Z consumers, there are many challenges posed with it in addition to its high claimed...
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Sparse Representation with Residual Learning Model for Medical Image Classification
In the context of medical image analysis and computer-aided diagnosis, accurate classification of medical images is crucial. Deep learning methods...
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Comparative Analysis of Economy-Based Multivariate Oil Price Prediction Using LSTM
Predicting unrefined petroleum prices is crucial for decision-makers, financiers, and academics in the energy industry. This paper presents an...
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The Potential of 1D-CNN for EEG Mental Attention State Detection
In cognitive neuroscience, attention detection via electroencephalogram (EEG) signals is a crucial task, especially when looking into brain-computer...
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A Novel Unsupervised Learning Approach for False Data Injection Attack Detection in Smart Grid
Smart grids, enhanced by integrating new technologies like home energy management systems (HEMS) and smart meters, face risks like false data...
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Potato Leaf Disease Classification Using Deep Learning Model
India’s primary industry is agriculture, which suffers an annual loss of 35% agricultural yield due to plant diseases. Illness-related harvest losses...
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Strategiespiele
In diesem Kapitel werden einfache klassische Strategiespiele umgesetzt. Es wird eine minimale grafische Anwenderschnittstelle geben, sowie einen...
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Eingabe und Ausgabe
Kommunikation ist eine der wichtigsten Merkmale für die meiste Software, die wir benutzen. Kommunikation bedeutet für ein Programm, dass es Eingaben...
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Ausdrücke
In diesem Kapitel geht es um Ausdrücke, die sich zu einem Ergebnis ausrechnen lassen. Ausdrücke können einfache arithmetische Berechnungen und...
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Funktionsdaten
Funktionen werden als Daten behandelt. Funktionstypen über funktionale Schnittstellen definiert und mit Lambda-Ausdrücken Funktionen erzeugt. Damit...
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Ein Kompilator
In diesem Projekt wird ein Kompilator für eine kleine Programmiersprache entwickelt. Ein Kompilator ist ein Computerprogramm, das andere Programme...