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Italian Domination for Strong Product of Complete Bipartite Graphs and Paths
Research on the domination problems of graphs and their associated subset problems has long been a focal point in graph theory, sparking widespread academic interest. This paper delves into the Italian domination number for the strong product of complete ...
Finite Sample Breakdown Point of the Minimum Volume Ellipsoid Estimator in Extended General Position of Sample
When estimate statistically some parameters using some samples which have various contamination characters, finite sample breakdown point of the estimator is an important criterion for judging if the estimator is useful or not. In most cases, finite ...
Decryption speed up of RSA by pre-calculation
It is easy to increase the encryption speed by using small public exponent in RSA. In this case, private exponent is full sized (on the order of modulus) and so, most of calculation costs are allocated to decryption. Meanwhile, it is not easy to speed up ...
Selecting Hyperparameters of Nonlinear Support Vector Machine Using Bayesian Inference
The performance of support vector machine(SVM) highly depends on selection of hyperparameters(kernel function parameters and penalty parameter). Currently selection methods of hyperparameters in nonlinear SVMs tend to fall into local optimized solution ...
Safety assessment method for power operation environment based on multi-source data fusion
Traditional safety evaluation methods often grapple with limitations such as narrow index selection coverage, suboptimal evaluation accuracy, and questionable reliability. To address these challenges, this study introduces a novel safety assessment ...
Using ensemble models to detect deepfake images of human faces
Deepfakes, synthetic media generated through advanced artificial intelligence techniques, are a rising threat to content authenticity. This paper explores deepfake detection methods to discern manipulated media from genuine content. We evaluate two ...
Cross-Platform Network Public Opinion Topic Modeling
This study focuses on cross-platform online public opinion topic modeling and analysis, using popular topics on social media platforms, including Weibo and Zhihu. Through preprocessing, text embedding, dimension reduction, and clustering, we extract ...
Implementation of an Alarm System to Protect a Submersible Pump of a Company in Cusco, 2023
The implementation of an alarm system was carried out to protect a submersible pump whose purpose is to maintain the river water supply of a company in Cusco. The guidelines of the PMBOK, which is the main book of the PMI, were used. Within the ...
Improved YoloV5 Model Target Detection Algorithm Based on Temporal Neural Networks
In order to further improve the accuracy of object detection on datasets with time characteristics such as video and live streaming, this paper proposes an object detection algorithm that combines temporal neural networks. In this neural network, Mosaic ...
An Illumination Invariant Convolution Module for Zero-Shot Object Detection in the Night
Intelligent detection is an important part of the research of military intelligent technology. When only daytime training data is available, training a consistent model for object detection at night is difficult. How to eliminate the inconsistent ...
AIGPU: An Arithmetic-Intensity-Guided Single-GPU Scheduling Model
With the advent of large AI models, GPU has become a primary co-processor for accelerating the training processes. Research on efficiently utilizing multi-GPU systems has been a lot; nevertheless, studies about efficiently exploiting a single GPU are ...
An Improved Sparrow Search Algorithm for Solving Hybrid Flow Shop Scheduling Problems with Lot Streaming
In addressing the lot streaming hybrid flow shop problem with equipment adjustment times, a scheduling model is devised with the multi-objective of minimizing completion time and energy consumption. To tackle this intricate problem, we propose an ...
Accelerating the Smith-Waterman algorithm by GPU for high-throughput sequence alignment
Sequence alignment is an important problem in bioinformatics while the Smith-Waterman algorithm is the core algorithm for sequence alignment. However, the Smith-Waterman algorithm has high time and space complexity making the process of high-throughput ...
An Improved Approach to the Control of Pursuit-Evasion Game for Continuous Thrust Long-Orbit Satellites Based on Genetic Targeting Algorithm
Considering the continuous thrust conditions of satellites, the pursuit-evasion game for long-orbit satellites has become a highly complex problem. To address this issue, this paper first adopts the Cartesian coordinate system to precisely formulate the ...
Academic performance forecasting model based on artificial intelligence at the Faculty of Engineering - Systems and Informatics of the Continental University
The research established a central objective to implement an academic performance forecasting model based on artificial intelligence to determine the level of incidence factors in the management of academic performance and design the predictive model ...
Objective task matching strategy for Multi-Satellite Imaging Mission Planning in complex heterogeneous scenarios
Complex heterogeneous scenarios with multiple mission requirement relationships, poor model scalability, resource conflicts during mission planning are the serious challenges currently facing the field of multi-satellite imaging mission planning (MSIMP). ...
Index Terms
- Proceedings of the 2023 International Conference on Mathematics, Intelligent Computing and Machine Learning