the proceedings contain 13 papers. the topics discussed include: automated narratives: on the influence of bots in narratives during the 2020 Vienna terror attack;non-linear Black-Scholes option pricing model based on...
ISBN:
(纸本)9789897585654
the proceedings contain 13 papers. the topics discussed include: automated narratives: on the influence of bots in narratives during the 2020 Vienna terror attack;non-linear Black-Scholes option pricing model based on quantum dynamics;dynamics of personal responses to terror attacks: a temporal network analysis perspective;systematic review on cybersecurity risks and behaviors: methodological approaches;consultation to effectiveness and logical meaning;the hybrid model of broken agile transformation in big telco corporations;a computational pipeline for modeling and predicting wildfire behavior;extracting mass transportation networks from general transit feed specification datasets;moving other way: exploring word mover distance extensions;and attention! transformer with sentiment on cryptocurrencies price prediction.
the proceedings contain 72 papers. the topics discussed include: design and implementation of key word extraction system based on pre-training model and artificial intelligence algorithm;an overview of optimized inven...
ISBN:
(纸本)9798331529314
the proceedings contain 72 papers. the topics discussed include: design and implementation of key word extraction system based on pre-training model and artificial intelligence algorithm;an overview of optimized inventory management models in technology companies: historical developments, practical applications, and ai-driven approaches;multi-subpopulation artificial bee colony algorithm based on individual classification;terrain image classification based on vision transformer deep learning algorithm;optimized service function deployment in edge computing networks using deep reinforcement learning;new parallelized greedy soup algorithm in the end-to-end automatic speech recognition;and a local-mean based pseudo nearest neighbor method.
the proceedings contain 316 papers. the topics discussed include: early screening for Alzheimer’s disease based on OCT image classification;AUV 3D path planning based on improved sparrow search algorithm;a new offloa...
ISBN:
(纸本)9798350361445
the proceedings contain 316 papers. the topics discussed include: early screening for Alzheimer’s disease based on OCT image classification;AUV 3D path planning based on improved sparrow search algorithm;a new offloading method in cloud platforms: reducing latency based on data compression;optimization study of variable spray technology in dust removal systems;a filtering non-discriminative features method for person re-identification based on transformer;measurement of water content in oil-water two-phase system based on optimized EWT-FK algorithm;RRT-trained DDQN algorithm for pathfinding problem of automated guided vehicle;patient's emotion computing under robot vision;an estimation method for state of charge of lithium-ion batteries based on adaptive multi-innovation fractional order unscented Kalman filtering;apple detection and yield estimation based on YOLOv5;and optimization of multi-UUV cooperative detection formation based on particle swarm optimization.
the proceedings contain 24 papers. the topics discussed include: automated algorithm for multi-variate data synthesis with Cholesky decomposition;large matrix multiplication algorithms: analysis and comparison;benchma...
ISBN:
(纸本)9798400709098
the proceedings contain 24 papers. the topics discussed include: automated algorithm for multi-variate data synthesis with Cholesky decomposition;large matrix multiplication algorithms: analysis and comparison;benchmarking classifiers for loan default prediction using archetypal analysis;enhancing banking security through intelligent models for advanced fraud prevention;innovative predictive modeling of property appraisal: emphasizing coastline proximity as a key factor;improved grey wolf optimization algorithm based on local derivative inertia weights;ensemble deep transfer learning approaches for sales forecasting;an improved teaching-learning-based optimization with adaptive moment estimation for global optimization;preprocessing-based adversarial defense for object detection via feature filtration;and person attributes recognition based on hierarchical classification.
Aiming at the low efficiency of gesture interaction in the command and control system, this paper proposes a gesture interaction optimization method based on gesture complexity. Ten joint points are selected to model ...
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Most machine learning (ML) algorithms work best when the samples in each class are almost equal. However, if a dataset has imbalanced samples then the ML model can achieve a high accuracy by just predicting the majori...
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In response to the problem of three-dimensional path planning for unmanned aerial vehicles (UAVs) in complex environments, this paper proposes an environmental complexity based variable step Rapidly-exploring Random T...
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ISBN:
(纸本)9798400708305
In response to the problem of three-dimensional path planning for unmanned aerial vehicles (UAVs) in complex environments, this paper proposes an environmental complexity based variable step Rapidly-exploring Random Tree (RRT) path planning algorithm. Firstly, a model of environmental complexity function is established in a three-dimensional environment to measure the complexity of UAV flight environments. then, an evaluation function for path planning is established. Based on the environmental complexity function and the evaluation function, the optimal step size for the RRT algorithm is found withthe genetic algorithm. With a large number of simulated random environmental variables and the corresponding optimal step size, the environmental complexity based RRT step size function is identified and established that represents the relationship between the optimal step size of the RRT algorithm and the complexity of the environment. Based on the sliding window and the environmental complexity based RRT step size function, the variable step RRT path planning for UAVs is constructed. this algorithm can dynamically select the optimal step size according to the local environment, improving the overall performance of UAV path planning algorithms. Finally, comparative experiments are conducted to verify that the proposed algorithm is superior to the traditional on
the proceedings contain 39 papers. the special focus in this conference is on algorithms and Discrete Applied Mathematics. the topics include: Parameterized complexity of Locally Minimal Defensive Alliances;new Varian...
ISBN:
(纸本)9783030678982
the proceedings contain 39 papers. the special focus in this conference is on algorithms and Discrete Applied Mathematics. the topics include: Parameterized complexity of Locally Minimal Defensive Alliances;new Variants of Perfect Non-crossing Matchings;cause I’m a Genial Imprecise Point: Outlier Detection for Uncertain Data;a Worst-Case Optimal Algorithm to Compute the Minkowski Sum of Convex Polytopes;on the Intersections of Non-homotopic Loops;on cd-Coloring of Trees and Co-bipartite Graphs;cut Vertex Transit Functions of Hypergraphs;lexicographic Product of Digraphs and Related Boundary-Type Sets;the Connected Domination Number of Grids;scheduling Trains with Small Stretch on a Unidirectional Line;on Degree Sequences and Eccentricities in Pseudoline Arrangement Graphs;cops and Robber on Butterflies and Solid Grids;b-Coloring of Some Powers of Hypercubes;chromatic Bounds for the Subclasses of pK2 -Free Graphs;axiomatic Characterization of the Median Function of a Block Graph;on Coupon Coloring of Cartesian Product of Some Graphs;on the Connectivity and the Diameter of Betweenness-Uniform Graphs;on algorithms to Find p-ordering;experimental Evaluation of a Local Search Approximation Algorithm for the Multiway Cut Problem;algorithmic Analysis of Priority-Based Bin Packing;algorithmic Aspects of Total Roman and Total Double Roman Domination in Graphs;recursive Methods for Some Problems in Coding and Random Permutations;achieving Positive Rates with Predetermined Dictionaries;characterization of Dense Patterns Having Distinct Squares;failure and Communication in a Synchronized Multi-drone System;memory Optimal Dispersion by Anonymous Mobile Robots;quantum and Approximation algorithms for Maximum Witnesses of Boolean Matrix Products;balanced Connected Graph Partition.
the computational complexity of the precoding vectors calculation in the large-scale Massive-MIMO systems is a growing up withthe granularity of wideband frequency precoding. In this paper we propose a novel approach...
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ISBN:
(纸本)9798350365962;9798350365955
the computational complexity of the precoding vectors calculation in the large-scale Massive-MIMO systems is a growing up withthe granularity of wideband frequency precoding. In this paper we propose a novel approach for precoder design in M-MIMO communication systems under wideband frequency-selective channel conditions. the developed method lies in new precoding scheme, which exploit the sparse structure of the channel in the delay-domain, where the amount of dominant signal tap samples significantly lower than the number of frequency subbands. Proposed time-frequency precoding scheme is aimed to reduce the complexity of the spatial precoder calculation. We shown the benefits from the developed low-cost approach of high frequency granularity spatial precoder design, which matching the performance of the baseline approach in the frequency domain across all spatial layers. the complexity reduction gain achieve more than in 2 times compared with legacy approach.
Cyber-Physical Systems (CPS) are one of the emerging technologies of the time. Current CPS are categorized as small, medium, and large-scale CPS. Small and medium-scale CPS's design, development, and operation sta...
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ISBN:
(纸本)9798350363029;9798350363012
Cyber-Physical Systems (CPS) are one of the emerging technologies of the time. Current CPS are categorized as small, medium, and large-scale CPS. Small and medium-scale CPS's design, development, and operation standards are well-defined. However, the large-scale, also known as industrial-scale CPS, are complex, and their design, development, and operation remain challenging. this is due to the involvement of multiple complex technical and non-technical domains. this research discusses the complexity of future industrial-scale CPS in terms of cyber systems, physical systems, Collaborative Information Processing Systems (CIPS), and computer-aided engineering (CAE) systems. We present a detailed overview of the complexities in cyber & physical systems, human and managerial systems, and CAEs and suggest possible solutions. We discuss these complexities via a case study on a CPS-based energy management system. the implications of our discussions include an improved pathway to reduce the complexity of future CPS.
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