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Novel Hybrid Methods for Journal Article Summarization Combining Graph Method and Rough Set TFIDF Method with Pegasus Model 1

引用

International Conference on Artificial Intelligence: Theory and Applications (AITA)

作者： Kurian, K. Sheena Mathew, Sheena Cochin Univ Sci & Technol Sch Engn Kochi Kerala India

ISBN: (数字)9789819984794

ISBN: (纸本)9789819984787;9789819984794

Journal article summarization shortens an article, including all the relevant and significant topics. As the number of journal articles published every year is increasing rapidly, the significance of research on journal article summarization also increases. This work generates a summary of journal articles from the ScisummNet dataset using extractive, abstractive and novel hybrid methods. The summary generated by these methods is then analyzed using word overlap and semantic similarity scores to find the best summary. The precision, recall and f-measure scores of rouge-1, rouge-2, rouge-L and rouge-Lsum scores are analyzed to find the word overlap score and precision, recall and f-measure of the BERT score to find the semantic similarity score. The summary generated by the novel hybrid methods combining the extractive methods like the graph with the sum of weights, the graph with bushy path and the rough set TFIDF methods with the abstractive Pegasus fine-tuned model gives the best rouge and BERT scores among the other hybrid methods.

关键词： Abstractive Fine-tuning Graph methods Rough set Pre-trained models Summarization

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Unraveling the Intersection of Artificial Intelligence and Idea Generation: A Systematic Literature Review 4th

Unraveling the Intersection of Artificial Intelligence and I...

引用

4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Ibrahimi, Ghita Benchekroun, Bouchra Sidi Mohammed Ben Abdellah Univ Fac Law Econ & Social Sci Fes 28810 Morocco

ISBN: (纸本)9783031686498;9783031686504

Artificial intelligence (AI) breakthroughs have revolutionized various fields. It is altering the ways businesses generate ideas by improving human creativity and problem-solving capabilities. This paper carries out an extensive literature review to explore the current state of the art of the most relevant trends addressing how artificial intelligence supports idea generation. The findings are split into two sections. The descriptive analysis section examines the evolution of AI-driven idea-generation research, the geographical distribution of research, key authors who have made significant contributions to the field, the top journals and conferences that publish in the issue, and the various research approaches used in the field. Furthermore, this review uses VOSviewer to map the keywords retrieved from the selected papers, revealing the interconnection and relationships between various research topics. The content analysis section, on the other hand, aims to provide a thorough comprehension of the literature. We identified three central themes: the role of semantic networks in AI-driven idea generation, the potential of AI in improving group discussions and brainstorming sessions, and the role of AI-based tools in idea generation (e.g. generative AI).

关键词： Artificial intelligence idea generation brainstorming semantic networks group discussions generative AI

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Prediction Cows Estrus Images Using Convolutional Neural Network with Optimized Parameters by the Artificial Immune System Algorithm 1

引用

20th International Conference on Computing and Information Technology (IC2IT2)

作者： Ninphet, Watchara Amm-Dee, Nopadol Sangsongfa, Adisak Muban Chom Bueng Rajabhat Univ Fac Ind Technol Dept Ind Technol Management Chom Bueng 70150 Thailand

ISBN: (数字)9783031585616

ISBN: (纸本)9783031585609;9783031585616

The factor that affects the milk production of dairy cows is the breeding of cows. Before the cows can be bred, the cows must show signs of estrus first. Farmers must detect estrus in time because the period of estrus is It did not take long, so this research has developed the prediction of estrus in dairy cows using artificial intelligence methods, that is, using convolutional neural networks to help in the prediction. This research has a Comparison between the convolutional neural networks before adjusting the parameters, which achieved an accuracy of 95.082% and when using the Artificial Immunity System algorithm to adjust the parameters, the accuracy was 98.361%. The prediction used 4 types of dairy cow movements for prediction.

关键词： Convolutional Neural Network Cow Estrus Artificial Immunity System

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Dataset Generation and Bonobo Classification from Weakly Labelled Videos

Dataset Generation and Bonobo Classification from Weakly Lab...

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Intelligent systems Conference (IntelliSys)

作者： Martin, Pierre-Etienne Max Planck Inst Evolutionary Anthropol CCP Dept D-04103 Leipzig Germany

ISBN: (纸本)9783031477232;9783031477249

This paper presents a bonobo detection and classification pipeline built from the commonly used machine learning methods. Such application is motivated by the need to test bonobos in their enclosure using touch screen devices without human assistance. This work introduces a newly acquired dataset based on bonobo recordings generated semi-automatically. The recordings are weakly labelled and fed to a macaque detector in order to spatially detect the individual present in the video. Handcrafted features coupled with different classification algorithms and deep-learning methods using a ResNet architecture are investigated for bonobo identification. Performance is compared in terms of classification accuracy on the splits of the database using different data separation methods. We demonstrate the importance of data preparation and how a wrong data separation can lead to false good results. Finally, after a meaningful separation of the data, the best classification performance is obtained using a fine-tuned ResNet model and reaches 75% of accuracy.

关键词： Bonobos classification Machine learning Convolutional neural networks Data splitting Automatic dataset generation

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User eXperience (UX) Evaluation in Virtual Reality (VR) 1

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11st World Conference on Information systems and Technologies (WorldCIST)

作者： Garcia, Matias Cano, Sandra Moreira, Fernando Pontificia Univ Catolica Valparaiso Sch Comp Engn Valparaiso Chile Univ Portucalense REMIT IJP Porto Portugal Univ Aveiro IEETA Aveiro Portugal

ISBN: (数字)9783031456428

ISBN: (纸本)9783031456411;9783031456428

The potential of Virtual Reality (VR) devices lies in their ability to put the user in an interactive 3D environment as seen in simulations, prototyping and gaming. In order to create a more valuable experience in these environments, it is important to not only evaluate users' behavior, but also understand their preferences and emotions in this context. However the challenge of applying User eXperience (UX) evaluation in VR comes from the fact that behavioral methods may require the use of additional hardware to capture objective data unlike attitudinal methods which depend on what the user expresses during and after the experiment. This review lists the UX evaluation methods, comparing their applicability in VR devices, considering aspects such as complexity, data analysis and additional requirements. We also discuss the feasibility and benefit of combining these two types of evaluation methods in the same case of study.

关键词： UX evaluation Virtual Reality Human-Computer Interaction

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Dedicated FPGA Resources in Improving Power Efficiency of Implementations of BLAKE3 Hash Function 19th

Dedicated FPGA Resources in Improving Power Efficiency of Im...

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19th International Conference on Dependability of Computer systems (DepCoS-RELCOMEX)

作者： Sugier, Jaroslaw Wroclaw Univ Sci & Technol Dept Comp Engn 11-17 Janiszewskiego Str PL-50372 Wroclaw Poland

ISBN: (纸本)9783031618567;9783031618574

The BLAKE cryptographic hash functions can be efficiently coded in software but their hardware realizations are not as fast and power-effective as those of alternative algorithms. This paper evaluates possible reductions in power consumption of BLAKE3 FPGA implementations thanks to realization of the binary summations with dedicated DSP resources rather than with logic cells inside the programmable array. The analysis took into account different possible organizations of the method in hardware: starting from the typical iterative architecture (with one instance of the cipher round), derived high-throughput versions with 2, 4 and 6-stage pipelining were also analyzed. The results came from simulation of the designs fully implemented in a Spartan-7 device;they indicate that replacing the "in-the-array" adders with 7-series's DSP48E1 elements can significantly reduce high dynamic power consumption which plagued the standard non-pipelined BLAKE3 architecture, but also reveal limitations of this approach in other cases. In addition to discussing one possible way of power reduction in this specific cipher, the paper can also be seen as another case study of an improvement in FPGA implementation made possible by taking advantage of (otherwise unused) specialized resources available beside the programmable array.

关键词： Cryptographic Hash Function BLAKE3 FPGA DSP slice

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Conception of the Channel Robot Navigation 28th

Conception of the Channel Robot Navigation

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2024 International Conference Automation

作者： Usinskis, Vygantas Sesok, Nikolaj Rasimavicius, Tadas Ciciurenas, Dominykas Zulkifal, Muhammad Bucinskas, Vytautas Vilnius Gediminas Tech Univ Vilnius Plytines Str 25 Vilnius Lithuania

ISBN: (纸本)9783031782657;9783031782664

Mobile robot navigation has gained increasing interest in academical and industrial fields. Navigation task mainly consists of three main parts including object detection and mapping, path planning and motion execution [1]. Various sensors exist which separately or in fusion can acquire different kind of information from surrounding environment recognizing distances, shapes, colors etc. Nevertheless, navigation tasks are becoming more difficult requiring to adjust to varying static and dynamic obstacles and unknown environments. To efficiently deal with adaptive navigation tasks it is important not only to acquire correct data from environment but also to process this data using algorithms for path planning. Adaptivity challenges classical path planning methods like potential field histogram (PFH), visual graph (VG) and Dijkstra [2] and require to look into heuristic methods and in some cases the use of artificial intelligence. This paper contains a review of classical and heuristic methods of path planning and possible combinations analyzing main advantages and disadvantages. Moreover, taking into account presented analysis specific obstacle detection and path planning method is presented for autonomous mobile robot used to navigate in under soil tunnels. Finally, conclusions and research situations are presented.

关键词： channel robot mobile robot path planning autonomous navigation sensor fusion

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Digitization of Moroccan Companies: Influence on Organizational Change and Performance. An Exploratory Study 4th

Digitization of Moroccan Companies: Influence on Organizatio...

引用

4th International Conference on Digital Technologies and Applications (ICDTA)

作者： El Hammoumi, Ahmed Nabil, Seghyar Berdi, Abdelaziz Sidi Mohamed Ben Abdellah Univ USMBA Fac Econ & Management Sci Dept Management Fes Morocco Univ Ibntofail Morocco Org Management Sci Res Lab OGSRL Kenitra Morocco

ISBN: (纸本)9783031686597;9783031686603

This study investigates the digital transformation of businesses in Morocco and its effectiveness in the renewal of management and organization practices. This study, which takes a qualitative approach, collects data from semi-structured interviews that have been conducted with five Moroccan companies that have digitally transitioned and adopted new management and organizational methods. The findings show that the use of NMMO can enhance the performances of the companies as they have been supported by the digitization in Morocco. Flexibility, change management, agile approaches, corporate culture, innovation and productivity are some new methods to help in transitioning. Still, Moroccan companies can leverage agile & digital principles in order to better capture the co-evolving demands of customers, foster innovation, and ultimately, improve productivity, through faster, adaptive capabilities. The practical implications of the research offer relevant indicators for managers of Moroccan companies, allowing them to adopt NMMO in the era of digitization in order to meet the requirements and performance of companies. The originality of the study lies in its innovative contribution to both theory and practice. It sheds new light on the benefits of digital transformation and its effect on organizational and managerial change and business performance, offering valuable insights for research and managerial practice.

关键词： Digital transformation management and organizational modes performance Moroccan companies

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Cross Approach Between Modern Artificial Intelligence and Emergency Medicine: A Review

Cross Approach Between Modern Artificial Intelligence and Em...

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Computing Conference

作者： Edjinedja, Kokou Barakat, Oussama Desmettre, Thibaut Marx, Tania Elfahim, Omar Bredy-Maux, Charlotte Univ Franche Comte EA 466 Nanomed Lab Imagery & Therapeut Besancon France Hop Univ Geneve Hug Emergency Dept Geneva Switzerland Ctr Hosp Univ CHU Emergency Dept Besancon France

ISBN: (纸本)9783031622717;9783031622694;9783031622687

The emergency department (ED) is an intricate facet of the healthcare system, including hospital and prehospital entities that interact closely to make quick and accurate decisions. Therefore, it is the initial point of interaction between medical professionals and individuals presenting an array of symptoms. Emergency physicians face several challenges, such as long hospital stays, diagnostic complexities, waiting times, and appropriate resource allocation dilemmas that arise from traditional medical practices. Furthermore, the COVID-19 pandemic has underscored the limitation of traditional healthcare methods and symbolic Artificial Intelligence (AI), emphasizing the imperative need for solutions rooted in contemporary AI. The integration of modern AI into the sphere of Emergency Medicine (EM) provides promising insight into the future of emergency care, but few articles highlight these advances. The main objective of this scoping review is to provide the community with the importance of the cross-approach between modern AI and EM by highlighting all the hidden advances, limitations, and progress that can be made to improve ED. We also scrutinize modern AI systems, algorithms, and their complexity, as well as the ethics associated with using this cutting-edge technology in EM.

关键词： Artificial intelligence Emergency Healthcare AI ethics

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Sampling vs. Metasampling Based on Straightforward Hilbert Representation of Isolation Kernel

Sampling vs. Metasampling Based on Straightforward Hilbert R...

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Intelligent systems Conference

作者： Nagornov, Iurii Natl Inst Adv Ind Sci & Technol NEC AIST Artificial Intelligence Collaborat Lab Tokyo Japan

ISBN: (纸本)9783031664304;9783031664311

This study presents a novel metasampling scheme for Approximate Bayesian Computation (ABC) that leverages a metasampling algorithm based on a straightforward Hilbert representation of an isolation kernel constructed from Voronoi diagrams. The mapping to Hilbert space utilized identification of Voronoi sites to evaluate the similarity between observation and generated points, and the metasampling algorithm selects the points to maximize similarity to observation one in Hilbert space. To evaluate performance, a method competition was conducted using a high-dimensional stochastic Gaussian model with sparse data in the region of interest, and compared to several state-of-the-art methods including K2-ABC with Gaussian, Laplacian and isolation kernels, adaptive sequential Monte Carlo, and Markov chain Monte Carlo. Our method has demonstrated superiority over existing methods, as shown on a 6-dimensional model where, after 4000 simulations, the mean square error of our approach outperformed adaptive sequential Monte Carlo by two orders of magnitude and K2-ABC by four orders of magnitude. However, it should be noted that the metasampling method requires significantly more computational time per simulation step compared to kernel-based methods. The results obtained show the high accuracy of our proposed method, especially in scenarios with non-uniformly distributed datasets and models of this kind, indicating that it can be applied in genetic data analysis, which is a challenging area for future research. In the context of the current study, we applied the method to one example of a branching process model simulating personalized cancer cell evolution, where the posterior distribution of the personalized genetic parameters is located around the observation, contrasting with the kernel approach.

关键词： Approximate Bayesian computation Isolation kernel Straightforward hilbert representation Sampling scheme Cancer cell evolution

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