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Algorithmic Challenges in Web Search Engines
2004
Internet Mathematics
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In this paper, we describe six algorithmic problems that arise in web search engines and that are not or only partially solved: (1) Uniformly sampling of web pages; (2) modeling the web graph; (3) finding ...
duplicate hosts; (4) finding top gainers and losers in data streams; (5) finding large dense bipartite graphs; and (6) understanding how eigenvectors partition the web. ...
Bar-Yosseff et al. proposed asking various search engines for the in-edges of a given page in order to sample all adjacent edges of a given page. ...
doi:10.1080/15427951.2004.10129079
fatcat:fku3dmdpyja4fo2bhdcnvuwriq
A Novel Study on Face Recognition Algorithms and its Challenges
2018
International Journal for Research in Applied Science and Engineering Technology
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This paper majorly concentrates on comparative study between PCA (Principal Component Analysis), LDA (Linear Discriminant Analysis), Clustering and SVM (Support Vector Machine) algorithms. ...
Step 4: Calculate new centre using the iterations Step 5: Repeat step 3 and 4 till there in no change in cluster centre.
3) C-Means Clustering Algorithm: The algorithm employs fuzzy partitioning such ...
: k-means algorithms proved their usefulness in the area of image analysis, segmentation process. ...
doi:10.22214/ijraset.2018.5019
fatcat:lnz3hgxcwvfgvjoywanb5apwla
Some computational challenges of developing efficient parallel algorithms for data-dependent computations in thermal-hydraulics supercomputer applications
1994
Nuclear Engineering and Design
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lrwq[~~~~~o s.lames,.ew.exico 87&15 ABSTRACT The Transient Reactor Analysis Code (TIU4C), which features a twofluid treatment of thermal-hydraulics, is designed to model transients in water reactors and ...
Another serious problem with this method involves software engineering challenges in the areas of maintainability and extensibility. ...
problem quite easily, Figure 3 also involves an important issue in computational efficiency and software engineering. ...
doi:10.1016/0029-5493(94)90351-4
fatcat:ntvyhuzimbcbznbqf3jgtjecu4
Challenges, Tools and Applications of Tracking Algorithms in the Numerical Modelling of Cracks in Concrete and Masonry Structures
2018
Archives of Computational Methods in Engineering
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The various algorithmic issues involved in the development of a tracking algorithm are discussed through the presentation of a local tracking algorithm based on the smeared crack approach. ...
A common standpoint in many of them is the use of tracking algorithms, which identify and designate the location of cracks within the analysed structure. ...
extensive cracking are a big challenge for tracking algorithms. ...
doi:10.1007/s11831-018-9274-3
fatcat:av7zzdlsyba47cdngwch7rdmaa
A Brief Review on Brain Tumor Segmentation and Detection Algorithms with Issues and Challenges
2021
International Journal of Advanced Trends in Computer Science and Engineering
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In Addition, some challenging factors are also analyzed with various algorithms of segmentation such DL, K-means clustering, Optimization and traditional approaches. ...
Due to high success rate of AI, Deep Learning (DL) algorithms, there has been a considerable amount of brain tumor segmentation works are aimed by researcher and try to solve the exiting challenges. ...
issues and challenges is discussed in existing approaches. ...
doi:10.30534/ijatcse/2021/361042021
fatcat:luyl4dehqnbonpuaqcn45whztq
New Algorithm for Resource Selection in Economic Grid with the Aim of Cost Optimization Using Learning Automata
2010
2010 International Conference on Challenges in Environmental Science and Computer Engineering
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In this paper, new algorithms based on learning automata are proposed for this purpose. ...
Using computer simulations, it is shown that the proposed algorithms have higher performance comparing to the existing algorithm. ...
ACKNOWLEDGMENT This paper is supported by the Islamic Azad University-Malayer branch department of computer engineering 08514498765. ...
doi:10.1109/cesce.2010.185
fatcat:tr5trmrm5zdy3p7e7dyphsxzhu
A Hybrid Distributed Mutual Exclusion Algorithm for Cluster-Based Systems
2013
Mathematical Problems in Engineering
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In this work, a new hybrid algorithm is proposed which gains from powerful aspects of both algorithms. ...
Nevertheless, both algorithms are weak in the other metric, synchronization delay and message complexity correspondingly. ...
Mathematical Problems in Engineering ...
doi:10.1155/2013/703414
fatcat:tpvkg7tgybauxfaiw66vybxs4u
BioMeT and algorithm challenges: A proposed digital standardized evaluation framework
2020
IEEE Journal of Translational Engineering in Health and Medicine
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Here, we discuss the challenges to adoption and offer pragmatic guidance regarding BioMeTs, cumulating in a proposed framework to advance their development and deployment in healthcare, health research ...
Furthermore, the framework proposes a process to establish an audit trail of BioMeTs (hardware and algorithms), to instill trust amongst multidisciplinary users. ...
If the algorithm is unique where no anonymized data exists in the framework, any data used by the engineer to develop the algorithm will be sought and required for upload also. ...
doi:10.1109/jtehm.2020.2996761
pmid:32542118
pmcid:PMC7292480
fatcat:qadsrj4mwbc7ppnmalacv3vetm
Stable and Precise Multi-Lane Detection Algorithm Using Lidar in Challenging Highway Scenario
어려운 고속도로 환경에서 Lidar를 이용한 안정적이고 정확한 다중 차선 인식 알고리즘
2015
Journal of the Institute of Electronics and Information Engineers
어려운 고속도로 환경에서 Lidar를 이용한 안정적이고 정확한 다중 차선 인식 알고리즘
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Through quantitative evaluation, we verify that the proposed algorithm is capable of multi lane detection with high accuracy in real-time on our own acquired road data. ...
In this paper, we propose a method based on RANSAC and regularization which provides a stable and precise detection result in the co-occuring situation of lanes and road marking in highway scenarios. ...
Lane detection result in tunnel. ...
doi:10.5573/ieie.2015.52.12.158
fatcat:hjaxxou6d5h2ffmerbclhfajem
USE OF THE FUZZY CLUSTERING ALGORITHM FOR PATTERN RECOGNITION IN FEED CONSUMPTION DATA OF PURE NEW ZEALAND WHITE RABBITS EXPOSED TO VARIED THERMAL CHALLENGES
2020
Theoretical and Applied Engineering
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The objective of the present work was to use the Fuzzy C-Means (FCM) clustering algorithm for pattern recognition in daily feed consumption (CDR) of NZW rabbits exposed to different thermal challenges. ...
Afterward, the Fuzzy C-Means algorithm (FCM) was used to classify the results. ...
In this context, this work aims to use the FCM clustering algorithm as a pattern recognition method in daily feed consumption data (CDR) of NZW rabbits exposed to chronic high-temperature challenges, observing ...
doi:10.31422/taae.v4i2.19
fatcat:xooherngwzhzhdygr6keovdgxu
Mud Ring Algorithm: A New Meta-Heuristic Optimization Algorithm for Solving Mathematical and Engineering Challenges
2022
IEEE Access
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Twenty-nine benchmark functions and four commonly used benchmark engineering challenges are used in the comparison. ...
INDEX TERMS Optimization algorithm, meta-heuristic, nature-inspired algorithms, swarm intelligence, 3bar truss design challenge, tension/compression spring design challenge, pressure vessel design challenge ...
BENCHMARK ENGINEERING CHALLENGES The MRA algorithm in this section is applied to four commonly used benchmark engineering challenges. ...
doi:10.1109/access.2022.3173401
fatcat:nltzwbey3jduva5lcykmzhmkqi
Mathematical Models and Algorithms Challenges
2013
International Journal of Control Theory and Computer Modeling
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Basically the purpose of this paper is to show the importance and clearly explain in detail challenges encountered when modelling ...
Mathematical models are extensively utilized in different fields i.e. engineering, by scientists, and analysts to give a clear understanding of the problem. ...
Therefore, Algorithmic subject is one of the growing areas in science, computing and engineering. ...
doi:10.5121/ijctcm.2013.3602
fatcat:ga6k6dsobzeufpt77244hm7egu
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
[article]
2020
arXiv
pre-print
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After surveying current approaches to quantum artificial intelligence and relating them to a formal model for machine learning processes, we deduce four major challenges for the future of quantum artificial ...
to be easily combined and exchanged, and (iv) build tools to thoroughly analyze whether observed benefits really stem from quantum properties of the algorithm. ...
OUTLOOK In this paper we took a long tour from the challenges AI already poses to software engineering to the even more peculiar challenges that QAI poses to software engineering. ...
arXiv:2004.14035v1
fatcat:ii2hj2kspvasdedzxwfkz7wbzy
The Tracking Machine Learning Challenge
2019
Zenodo
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The challenge is run in two phases. ...
Algorithms need to be developed to harness the increased combinatorial complexity. ...
Insight on Algorithms 1/2 Pei-Lien Chou is a software engineer in image-based deep learning in Taïwan ➢ Machine learning to predict the adjacency matrix Marginalized Hough transform with machine learning ...
doi:10.5281/zenodo.3599205
fatcat:ta37bipfpzbqhbjo7xfe7jxkdy
SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
2021
Journal of Medical Imaging
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The submitted algorithms generally performed well in estimating TC, with high-performing algorithms obtaining comparable results to the average interrater PK of 0.927 from the two pathologists providing ...
Approach: A total of 39 teams developed, validated, and tested their TC estimation algorithms during the challenge. ...
Samuel Armato and the AAPM; and the NCI for their help in organizing and promoting the challenge. ...
doi:10.1117/1.jmi.8.3.034501
pmid:33987451
pmcid:PMC8107263
fatcat:2fzlahbdjjewpdy5r7z7sqfeuy
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