检索结果-内蒙古大学图书馆

2nd International Conference of Intelligent Methods, Systems and Applications, IMSA 2024

作者： Alsekait, Deema Mohammed Almanaseer, Waref Gomaa, Ibrahim A Zeid, Magdy Abd-Elghany Baligh, Salma Alaa, Hana Hegazy, Jasmine Magdy, Julia Eldmrat, Alaa Tariq Abdelminaam, Diaa Salama Applied College Princess Nourah Bint Abdulrahman University Department of Computer Science and Information Technology Saudi Arabia Applied Science Private University Faculty of Information Technology Amman11931 Jordan Alobour high institute for computer and informatics Computer Science Department Cairo Egypt Misr International University Faculty of Computer Science Cairo Egypt Midocean University Faculty of Human Sciences United Arab Emirates Jadara University Jadara Research Center Irbid21110 Jordan Misr International University Egypt MEU Research Unit Middle East University Faculty of Computers Amman11831 Jordan

ISBN: (纸本)9798350362633

Text Summarization might seem like a trivial problem, but in reality, is essential for data acquisition and understanding by compressing large amounts of text into specific a nd to-the-point summaries. This research is conducted to help compare the proposed methods' applications and make a summary system accessible to applications such as information retrieval, legal documents summarization and much more. from this, we intend to start by acquiring the dataset, preprocessing and training, and testing the models. In this paper will explore the methods that can be applied on summarization. These methods are Machine learning models like the random forest, naive Bayes, SVM, logistic regression, Deep learning like a neural networks, Transformers-based models like T5, and performance metrics like ROUGE. By trying all these various methods and models on a news article dataset we are going to compare the results from each of them and get the best performance. Finally, the results would be a comparison between all outputs and found that Natural Language Processor. In conclusion, Text Summarization is best done using NLP, and challenges in this project would be due to the diversity of text and context. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

An Extensive Study of Frequent Mining Algorithms for Colossal Patterns 3rd

An Extensive Study of Frequent Mining Algorithms for Colossa...

引用

3rd International Conference on computer Vision, High Performance Computing, Smart Devices, and Networks, CHSN 2022

作者： Sreenivasula Reddy, T. Sathya, R. Department of Computer Science and Engineering Faculty of Engineering and Technology Annamalai University Annamalai Nagar Tamil Nadu Chidambaram608002 India

ISBN: (纸本)9789819966899

During the last decade of research, a lot of focus has been placed on the subject of frequent pattern mining (FPM). A profitable data set with a large sum of transactions and only a few items in each transaction has been used to develop numerous FPM algorithms. Because of the rise of bioinformatics, a new sort of data set called a high-dimensional data set has emerged, with fewer transactions but a greater sum of elements in each. The execution time of classical algorithms grows with deal length. High-dimensional data sets can’t be processed by existing algorithms. But when applied to large data sets with a lot of dimensions, mining algorithms generate a huge amount of data, much of which is useless to scientists because of the little and medium-sized patterns they include. As a way to lessen the number of output patterns for mining patterns, colossal pattern mining is discussed. Since small and mid-sized patterns aren’t mined, mining algorithms for enormous patterns run faster. In this work, an extensive study of colossal patterns, existing mining algorithms with its drawback is mentioned. The definitions of FPM, high utility mining and relation of colossal patterns with others are also explained. PatternFusion is the first algorithm, which is developed for colossal patterns that is described briefly in this work. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

The Path-Label Reconciliation (PLR) Dissimilarity Measure for Gene Trees 24

The Path-Label Reconciliation (PLR) Dissimilarity Measure fo...

引用

24th International Workshop on Algorithms in Bioinformatics, WABI 2024

作者： López Sánchez, Alitzel Ramírez-Rafael, José Antonio Flores-Lamas, Alejandro Hernández-Rosales, Maribel Lafond, Manuel Computer Science Department Université de Sherbrooke Canada Center for Research and Advanced Studies of the National Polytechnic Institute Gto. Irapuato Mexico Department of Computer Science Interdisciplinary Center for Bioinformatics University of Leipzig Germany Max Planck Institute for Mathematics in the Sciences Leipzig Germany

ISBN: (纸本)9783959773409

In this study, we investigate the problem of comparing gene trees reconciled with the same species tree using a novel semi-metric, called the Path-Label Reconciliation (PLR) dissimilarity measure. This approach not only quantifies differences in the topology of reconciled gene trees, but also considers discrepancies in predicted ancestral gene-species maps and speciation/duplication events, offering a refinement of existing metrics such as Robinson-Foulds (RF) and their labeled extensions LRF and ELRF. A tunable parameter α also allows users to adjust the balance between its species map and event labeling components. We show that PLR can be computed in linear time and that it is a semi-metric. We also discuss the diameters of reconciled gene tree measures, which are important in practice for normalization, and provide initial bounds on PLR, LRF, and ELRF. To validate PLR, we simulate reconciliations and perform comparisons with LRF and ELRF. The results show that PLR provides a more evenly distributed range of distances, making it less susceptible to overestimating differences in the presence of small topological changes, while at the same time being computationally efficient. Our findings suggest that the theoretical diameter is rarely reached in practice. The PLR measure advances phylogenetic reconciliation by combining theoretical rigor with practical applicability. Future research will refine its mathematical properties, explore its performance on different tree types, and integrate it with existing bioinformatics tools for large-scale evolutionary analyses. The open source code is available at: https://***/project/parle/. © Alitzel López Sánchez, José Antonio Ramírez-Rafael, Alejandro Flores-Lamas, Maribel Hernández-Rosales, and Manuel Lafond1

关键词： evolutionary scenarios gene trees Reconciliation species trees

来源：评论

学校读者我要写书评

暂无评论

Principal eigenstate classical shadows 37

Principal eigenstate classical shadows

引用

37th Annual Conference on Learning Theory, COLT 2024

作者： Grier, Daniel Pashayan, Hakop Schaeffer, Luke Department of Mathematics Department of Computer Science and Engineering University of California San Diego United States Dahlem Center for Complex Quantum Systems Freie Universität Berlin Germany Joint Center for Quantum Information and Computer Science University of Maryland College Park United States

Given many copies of an unknown quantum state ρ, we consider the task of learning a classical description of its principal eigenstate. Namely, assuming that ρ has an eigenstate |〉 with (unknown) eigenvalue λ > 1/2, the goal is to learn a (classical shadows style) classical description of |〉 which can later be used to estimate expectation values 〈|O|〉 for any O in some class of observables. We consider the sample-complexity setting in which generating a copy of ρ is expensive, but joint measurements on many copies of the state are possible. We present a protocol for this task scaling with the principal eigenvalue λ and show that it is optimal within a space of natural approaches, e.g., applying quantum state purification followed by a single-copy classical shadows scheme. Furthermore, when λ is sufficiently close to 1, the performance of our algorithm is optimal-matching the sample complexity for pure state classical shadows. © 2024 D. Grier, H. Pashayan & L. Schaeffer.

关键词： Quantum theory

来源：评论

学校读者我要写书评

暂无评论

Towards Empathetic Care Robots

Towards Empathetic Care Robots

引用

2023 Italia Intelligenza Artificiale - Thematic Workshops, Ital-IA 2023

作者： Costantini, Stefania Dell'Acqua, Pierangelo Dyoub, Abeer Monaldini, Andrea Department of Information Engineering Computer Science and Mathematics University of L'Aquila Italy Dept. of Science and Technology Linköping University Sweden

Care Robots are the future of healthcare giving for patients with chronic diseases and disabilities. For improving the quality of care-giving and the trustworthiness of those robots, they should be equipped with emotion recognition capabilities and empathetic behavior. In this work, we propose an framework for an empathy module to be incorporated in every care robot, and then demonstrate the effectiveness of our proposal by means of an example. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Clustering Mechanism in Particle Swarm Optimization Algorithm for Data Aggregation 13

Clustering Mechanism in Particle Swarm Optimization Algorith...

引用

13th IEEE Symposium on computer Applications and Industrial Electronics, ISCAIE 2023

作者： Sharmin, Sharmin Ahmedy, Ismail Noor, Rafidah Md Ismail, Habibah Universiti Malaya Faculty of Computer Science and Information Technology Department of Computer System and Technology Kuala Lumpur50603 Malaysia Univesrsiti Teknologi MARA Computer Science Unit Centre of Foundation Studies Selangor Dengkil43800 Malaysia

ISBN: (纸本)9798350347319

Wireless Sensor Networks (WSNs) consist of numerous sensor nodes with distinct resources working together to achieve a common objective efficiently. A critical issue is extending the network lifetime of WSNs, especially for data transfer, as sensor nodes depend on their internal batteries to carry out essential functions and communicate with one another. Efficient energy use per sensor is essential for ensuring the overall energy efficiency of the network. Clustering has been the most energy-efficient approach but lacking a method for selecting the most effective cluster head results in decreased data aggregation efficiency, leading to the increased power consumption of sensor nodes. The project aims to enhance energy efficiency and extend network service life by using Particle Swarm optimization (PSO) for clustering in WSNs. PSO is used to select the cluster head based on member node distance from the base station and remaining energy. The proposed PSO technique was tested against Low Energy Adaptive Clustering Hierarchy (LEACH), Stable Election Protocol (SEP), Zonal Stable Election Protocol Z-SEP, and Extended Stable Election Protocol (EZ-SEP) and found to be more effective in reducing energy usage and prolonging the network's lifespan. The recommended technique can extend the service life of WSNs and reduce energy consumption, ultimately leading to more cost-effective and eco-friendly solutions for various applications such as environmental monitoring, surveillance, and healthcare. © 2023 IEEE.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Pendant Graphs: Unveiling Regularity, Irregularity, and Support Vertices

引用

IAENG International Journal of Applied mathematics 2025年第1期55卷 45-51页

作者： Mathew, Suji Elizabeth Kalayathankal, Sunny Joseph Thankachan, Baiju Mathew, Bibin Department of Mathematics Catholicate College Kerala Pathanamthitta689643 India Department of Computer Science and Engineering Rajagiri School of Engineering and Technology Kerala Kochi682039 India Department of Mathematics Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576104 India Department of Education National Institute of Technology Calicut Kerala 673601 India

This paper investigates Pendant Graphs, which are graphs that contain pendant vertices. It introduces a new perspective on the regularity and irregularity of pendant graphs, and discusses their relationship with Highly Irregular Graphs. Additionally, this work introduces a novel graph based on the concept derived from (m, k) Regular Graphs. The (m, k) regular graphs are closely related to Pendant Graph. The paper also delves into the nature and characteristics of pendant vertices. By exploring the characteristics of pendant vertices and defining the Cyclic Dendrimer Graph, the paper significantly contributes to both Graph Theory and Chemical Graph Theory. © (2025), (International Association of Engineers). All rights reserved.

关键词： Graph theory

来源：评论

学校读者我要写书评

暂无评论

Sentiment Analysis On Arabic Companies Reviews 6

Sentiment Analysis On Arabic Companies Reviews

引用

6th International Conference on Computing and Informatics, ICCI 2024

作者： Fouda, Aya E. Ahmed, Karim Salah Mohamed, Karim Ashraf Noshy, Mayer Mamdouh ElKattan, Youssef Mhran, Amany Ahmed Abdelbaky, Ibrahim Fouad, Khaled M. School of Computer Science Nile University Giza Egypt Artificial Intelligence Department Faculty of Computers and Artificial Intelligence Benha University Banha13518 Egypt Information Systems Faculty of Computers and Artificial Intelligence Benha University Egypt Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt

ISBN: (纸本)9798350373875

This study introduces an innovative approach to sentiment analysis, specifically tailored for the Arabic language, a domain that poses unique challenges due to its complex morphology and diverse dialects. Utilizing a substantial dataset of over 108,000 reviews related to Arabic companies, our primary objective was to develop a robust and reliable sentiment scoring system that caters to the intricacies of the Arabic language, aimed at assisting businesses in understanding customer sentiments more *** methodology encompassed an extensive preprocessing phase, crucial for preparing the dataset for accurate analysis. This phase included converting emojis and emoticons into textual descriptions a contemporary and expressive facet of digital communication, removing Arabic diacritics to standardize text input, and normalizing the text for consistency. The preprocessing was carefully designed to address the specific challenges posed by the Arabic script and dialectal *** the core sentiment analysis, we employed two robust machine learning models: Logistic Regression and Naive Bayes. Each model was meticulously chosen and adapted for its proven effectiveness in text classification, especially in handling the nuances of sentiment analysis within the Arabic text. Our approach not only leverages the strengths of these models but also adapts them to accommodate the linguistic characteristics of *** results of our study provide significant contributions to the field of sentiment analysis in Arabic. By addressing the unique challenges of the language and adapting conventional machine learning techniques accordingly, our research offers valuable insights and tools for businesses and researchers focused on the Arab market. These insights are instrumental for companies seeking to understand and respond to customer sentiments in a linguistically diverse and culturally rich region. © 2024 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Prediction and control of cholera outbreak:Study case of

引用

Infectious Disease Modelling 2024年第3期9卷 892-925页

作者： C.Hameni Nkwayep R.GlèlèKakaï S.Bowong Laboratory of Mathematics Department of Mathematics and Computer ScienceUniversity of DoualaPO Box 24157DoualaCameroon IRD Sorbonne UniversityUMMISCOF-93143BondyFrance Biomathematics and Forest Modeling University of Abomey-CalaviCalaviBenin

This paper deals with the problem of the prediction and control of cholera outbreak using real data of *** first develop and analyze a deterministic model with seasonality for the cholera,the novelty of which lies in the incorporation of undetected *** present the basic properties of the model and compute two explicit threshold parametersR_(0)and R_(0).that bound the effective reproduction number,from below and above,that is R_(0)≤R_(0)≤R_(0).We prove that cholera tends to disappear whenR_(0)≤1,while when R_(0)>1,cholera persists uniformly within the ***,assuming that the cholera transmission rates and the proportions of newly symptomatic are unknown,we develop the EnKf approach to estimate unmeasurable state variables and these unknown parameters using real data of cholera from 2014 to 2022 in *** use this result to estimate the upper and lower bound of the effective reproduction number and reconstructed active asymptomatic and symptomatic cholera cases in Cameroon,and give a short-term forecasts of cholera in Cameroon until *** simulations show that(i)the transmission rate from free Vibrio cholerae in the environment is more important than the human transmission and begin to be high few week after May and in October,(ii)90%of newly cholera infected cases that present the symptoms of cholera are not diagnosed and(iii)60.36%of asymptomatic are detected at 14%and 86%of them recover *** future trends reveals that an outbreak appeared from July to November 2023 with the number of cases reported monthly peaked in October *** impulsive control strategy is incorporated in the model with the aim to avoid or prevent the cholera *** the first year of monitoring,we observed a reduction of more than 75%of incidences and the disappearance of the peaks when no control are available in Cameroon.A second monitoring of control led to a further reduction of around 60%of incidences the following year,showing how imp

关键词： Vibrio cholerae Mathematical models Ensemble Kalman filterBasic reproduction number Impulsive control

来源：评论

学校读者我要写书评

暂无评论

Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs Against Environmental Factors 8th

Experimental Evaluation of Road-Crossing Decisions by Auto...

引用

8th International Conference on Intelligent Transport Systems, INTSYS 2024

作者： Corradini, Franca Grigioni, Carlo Antonucci, Alessandro Guzzi, Jérôme Flammini, Francesco University of Applied Sciences and Arts of Southern Switzerland IDSIA Lugano Switzerland University of Florence Department of Mathematics and Computer Science "Ulisse Dini" Florence Italy

ISBN: (纸本)9783031863691

Safe road crossing by autonomous wheelchairs can be affected by several environmental factors such as adverse weather conditions influencing the accuracy of sensors based on artificial vision. Previous studies have addressed experimental evaluation of multi-sensor information fusion to support road-crossing decisions in autonomous wheelchairs. In this study, we focus on the experimental evaluation of its tracking performance against outdoor environmental factors such as fog, rain, darkness, etc. It is rather intuitive that those factors can negatively affect the tracking performance;therefore our aim is to quantify through a set of metrics how the performance of the single sensors and their information fusion changes when such external factors are present. This is a first step in designing warning strategies in a novel framework based on the MAPE-k feedback loop established for the sensor system. System reconfiguration to reduce the reputation of less accurate sensors can then be set, thus improving overall safety. The problem is analysed within the context of the European project REXASI-PRO which aims to design a trustworthy autonomous wheelchairs supported by drones in which security, safety, ethics, and explainability are entangled to improve autonomy for people with reduced mobility. Results have been achieved by using an available laboratory dataset realised for a simplified framework in a road-crossing scenario and by applying appropriate software filters to simulate different environmental conditions. © ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Data fusion

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：