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Scenario-Based Robust Optimization of Tree Structures 39

Scenario-Based Robust Optimization of Tree Structures

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39th Annual AAAI conference on Artificial Intelligence, AAAI 2025

作者： Angelopoulos, Spyros Dürr, Christoph Elenter, Alex Melidi, Georgii Sorbonne University LIP6 Paris France CNRS France International Laboratory on Learning Systems Montreal Canada

ISBN: (纸本)157735897X

We initiate the study of tree structures in the context of scenario-based robust optimization. Specifically, we study Binary Search Trees (BSTs) and Huffman coding, two fundamental techniques for efficiently managing and encoding data based on a known set of frequencies of keys. Given a number of distinct scenarios, each defined by a frequency distribution over the keys, our objective is to compute a single tree of best-possible performance, relative to any scenario. We consider, as performance metrics, the competitive ratio, which compares multiplicatively the cost of the solution to the tree of least cost among all scenarios, as well as the regret, which induces a similar, but additive comparison. For BSTs, we show that the problem is NP-hard across both metrics. We also obtain an optimal competitive ratio that is logarithmic in the number of scenarios. For Huffman Trees, we likewise prove NP-hardness, and we present an algorithm with logarithmic regret, which we prove to be near-optimal by showing a corresponding lower bound. Last, we give a polynomial-time algorithm for computing Pareto-optimal BSTs with respect to their regret, assuming scenarios defined by uniform distributions over the keys. this setting captures, in particular, the first study of fairness in the context of data structures. We provide an experimental evaluation of all algorithms. To this end, we also provide mixed integer linear program formulation for computing optimal trees. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Pareto principle

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A Scalable Solution for Pneumonia Diagnosis: Transfer Learning for Chest X-ray Analysis

A Scalable Solution for Pneumonia Diagnosis: Transfer Learni...

引用

international conference on Contemporary computing and Informatics (IC3I)

作者： Rezaul Haque Shayma Sultana Chandan Prasad Sayed Hasan Hasib Fardin Abdullah Al Sakib Neeru Malik Keshav Kaushik Department of CSE East West University Dhaka Bangladesh Department of Management Information System International American University USA Department of Computer Science and Engineering Pimpri Chinchwad University Pune Maharashtra India Department of Engineering Management Westcliff University USA Department of Information Technology Westcliff University USA School of Engineering & Technology Pimpri Chinchwad University Pune Maharashtra India Amity School of Engineering and Technology Amity University Punjab India

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

the high death rate and rapid spread of pneumonia make it a serious global health concern. the precision of traditional diagnostic techniques is often compromised, particularly in resource-limited settings. Existing studies have predominantly focused on either binary or multi-class classification, often relying on limited datasets, which affects the generalizability and robustness of models. Additionally, the interpretability and transparency of deep learning models remain challenging in clinical environments. Addressing these challenges is crucial for advancing diagnostic methodologies to combat pneumonia. this study explores the use of transfer learning to improve the reliability of pneumonia classification using chest X-ray images. An automated classification system was developed, utilizing a combination of image preprocessing techniques, feature extraction with GLRLM, and various machine learning and transfer learning algorithms. Two datasets were employed: the GWCMCx dataset with 5856 chest X-rays and another dataset comprising 9207 chest X-rays. the system was designed for both binary and multi-class classification scenarios. CapsuleNet emerged as the most effective model, achieving an accuracy of ${9 9. 0 2 \%}$ in binary classification and $90.43 \%$ in multi-class classification, significantly outperforming previous studies. Additionally, a user-friendly web application was developed to facilitate the integration of the classification system into clinical workflows, accelerating clinical decision-making. this study demonstrates the potential of transfer learning to automate and improve pneumonia diagnosis, offering a scalable solution that can alleviate radiologists’ workload and improve patient outcomes.

关键词： Training Pneumonia Accuracy Transfer learning Decision making Mortality Robustness Medical diagnosis X-ray imaging Medical diagnostic imaging

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proceedings of the 7th international Beam Instrumentation conference, IBIC 2018

Proceedings of the 7th International Beam Instrumentation Co...

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7th international Beam Instrumentation conference, IBIC 2018

ISBN: (纸本)9783954502011

the proceedings contain 145 papers. the topics discussed include: noise in radio/optical communications;beam commissioning of SuperKEKB rings at phase-2;upgrade and status of standard diagnostic-systems at flash and flashforward;upgrade of the machine protection system toward 1.3MW operation of the J-PARC neutrino beamline;the removal of interference noise of ICT using PCA method;status overview of the HESR beam instrumentation;beam diagnostics for superKEKB damping ring in phase-II operation;and recent advances in beam monitoring during see testing on ISDE&JINR heavy ion facilities.

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proceedings of ScalA 2019: 10th Workshop on Latest Advances in Scalable algorithms for Large-Scale systems - Held in conjunction with SC 2019: the international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of ScalA 2019: 10th Workshop on Latest Advances ...

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10th IEEE/ACM Workshop on Latest Advances in Scalable algorithms for Large-Scale systems, ScalA 2019

ISBN: (纸本)9781728159898

the proceedings contain 9 papers. the topics discussed include: GPU acceleration of communication avoiding chebyshev basis conjugate gradient solver for multiphase CFD simulations;optimization of a solver for computational materials and structures problems on NVIDIA Volta and AMD instinct GPUs;toward half-precision computation for complex matrices: a case study for mixed precision solvers on GPUs;parallel multigrid methods on manycore clusters with IHK/mckernel;making speculative scheduling robust to incomplete data;and parallel SFC-based mesh partitioning and load balancing.

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Internet of things Protocols (IoTp) Literature Review 23

Internet of Things Protocols (IoTp) Literature Review

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proceedings of the 7th international conference on Future Networks and Distributed systems

作者： Ali Alamery Mohanad Abd Shehab Omar Abdulkareem Mahmood Yousif I Hammadi Ahmed Aziz Mohammed Saleh Ali Muthanna Balad Al-hadeth group company Balad Al-hadeth group company Iraq Electrical Engineering Department Mustansiriyah University Iraq Department of Communications Engineering University of Diyala Iraq Dep. of Medical Instruments Engineering Techniques Bilad Alrafidain University College Iraq Department of computer science Benha university Egypt and International Business Management Department Tashkent State University of Economics Uzbekistan Institute of Computer Technologies and Information Security Southern Federal University Russia

ISBN: (纸本)9798400709036

Considering today's variety of technologies and devices connected to the network, a huge number of manufacturers, there are many problems of their interaction and the need to create and adopt specialized communication standards and protocols. this article is devoted to the description of various protocols proposed by the IEEE, IETF and ITU for use in the framework of the concept of the Internet of things. the article includes a description of the protocols of the application, transport, network and data link layers of the TCP / IP model. It also discusses protocols designed specifically to meet IoT requirements. A brief description of the protocols and the principle of operation of each of them are given. this review article contributes to a more correct choice of protocols when building a network, detecting and managing devices, and establishing interaction between objects of the Internet of things.

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Economic Assessment of the Influence of Innovations on Income from Household Activities in the Framework of Digital Economy 23

Economic Assessment of the Influence of Innovations on Incom...

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proceedings of the 7th international conference on Future Networks and Distributed systems

作者： Shukrullo Abduraimovich Muratov Shavkat Tursunkulovich Hasanov Ravshan Kalandarov Samandar Pulatovich Kurbonov Aziza Usmanova Department of Economics Samarkand Agroinnovations and Research University Uzbekistan Department of Management Tashkent State University of Economics Uzbekistan Department of International Business Management Tashkent State University of Economics Uzbekistan

ISBN: (纸本)9798400709036

In the paper, the impact of innovations on the income of rural residents of household activities in the context of the digital economy was analyzed. For this purpose, several methods were applied. Initially, a social survey was conducted in rural areas of the Samarkand region, in which 1,428 households participated. Next, the factor analysis method was applied to create a new index called the “Index of applied innovations” from the variables representing the innovations used in household activities. the normal distribution of variables was checked using the Shapiro (Shapiro-Wilk W-test) test. After this, to analyze the effect of different factors on the income obtained from farm activities, the ANOVA (Analysis of variance) test was used. Finally, to investigate the impact of innovations on the income obtained from household activities, the Tobit model was applied. It was revealed that the increase in the created “Index of applied innovations” by 1 factor increases the income from the activity by 3,664,000 sums. Based on the results of the analysis, scientifically based proposals were developed to increase the income from the activities of homesteads.

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Cloud based analysis and classification of EEG signals to detect epileptic seizures 7

Cloud based analysis and classification of EEG signals to de...

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7th IEEE international conference on Bio Signals, Images and Instrumentation, ICBSII 2021

作者： Rushambwa, Munyaradzi Charles Gezimati, Mavis Govindaraj, P. Palaniappan, Rajkumar Vijean, Vikneswaran Ghulam Nabi, Fizza Institute of Technology Electronic Engineering Harare Harare Zimbabwe Aj Institute of Engineering and Technology Information Science Department Manglore India Ama International University College of Engineering Department of Mechatronics Engineering Salmabad Bahrain University of Malaysia Perlis Mechatronic Engineering Perlis Malaysia University of the Punjab Institute of Quality and Technology Lahore Pakistan

ISBN: (纸本)9781665441261

Epileptic seizures are explained as the abnormal electrical activity occurring in the brain due to an internal or external triggering factors. EEG (Electroencephalograph) is used to record brain activity and can be used to detect the seizures before, during or after they occur. these signal characteristics, however differ from patient to patient due to the different emotional and physical wellbeing of the various individuals. In normal circumstances, anti-epileptic medication is used to treat patients but very few systems have been developed to manage and track the seizures. In most extreme and rare cases, some patients undergo invasive surgery to treat the seizures and this is common in seizures that are caused by tumors or physical brain damage. Non-invasive surface electrode EEG measurement gives an estimate of the seizure onset but more invasive intracranial electrocorticogram (ECoG) are required at times for precise localization of the epileptogenic zone. this project aims at designing and implementing a device that can be used to detect and monitor the attention and meditation values of a person in real time. the system measures the EEG waves of the brain, performs feature extraction, classification and sends the control command over wireless to a remote controller. the remote controller in turn issues commands with corresponding brain wave frequency and sends it to the cloud for remote analysis and classification. © 2021 IEEE.

关键词： Brain

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international Trade and Economic Growth in Central Asia: the Role of Digital Economy 23

International Trade and Economic Growth in Central Asia: The...

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proceedings of the 7th international conference on Future Networks and Distributed systems

作者： Mansur Eshov Nilufar Ismailova Zebo Kuldasheva Department of Macroeconomics Tashkent State University of Economics Uzbekistan Department of World Economy Tashkent State University of Economics Uzbekistan

ISBN: (纸本)9798400709036

this study investigates the determinants of economic growth in five republics in Central Asia over the period from 2000 to 2022. It focuses particularly on the role of the digital economy—which includes e-commerce, Foreign Direct Investment (FDI), human capital, and Information and Communication Technology (ICT)—in a region where traditional market access is restricted due to geographical constraints. Based on export-led and neoclassical growth theories, the research investigates the relationship between the variables and economic performance by analyzing panel data using Pooled Ordinary Least Squares (OLS) and robustness testing. the findings suggest that there is a prominent positive relationship between e-commerce sales and ICT in terms of their contribution to economic growth. this underscores the profound influence of digital infrastructure and the internet economy. While, population growth and a landlocked geographical location have been identified as factors that have a major negative impact on economic growth. the present study not only discusses the growth outlines within economies of Central Asia but also offers practical insights for policymakers to effectively apply the digital economy to mitigate the negative effects of geographic location and achieve sustainable development.

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9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020, held as parallel events of the 16th IFIP WG 12.5 international conference on Artificial Intelligence Applications and Innovations, AIAI 2020

9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th ...

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9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020, held as parallel events of the 16th IFIP WG 12.5 international conference on Artificial Intelligence Applications and Innovations, AIAI 2020

ISBN: (纸本)9783030491895

the proceedings contain 21 papers. the special focus in this conference is on Mining Humanistic Data. the topics include: threat Landscape of Next Generation IoT-Enabled Smart Grids;towards a Smart Port: the Role of the Telecom Industry;a Graph-Based Extension for the Set-Based Model Implementing algorithms Based on Important Nodes;a Sentiment-Based Hotel Review Summarization Using Machine Learning Techniques;an Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement;fake News Detection Regarding the Hong Kong Events from Tweets;improving Movie Recommendation systems Filtering by Exploiting User-Based Reviews and Movie Synopses;the Converging Triangle of Cultural Content, Cognitive Science, and Behavioral Economics;application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window;A New Approach to 5G and MEC Integration;fingerprints Recognition System-Based on Mobile Device Identification Using Circular String Pattern Matching Techniques;mining and Analysis of Air Quality Data to Aid Climate Change;business Aspects of the Neutral Host Model: the Immersive Video Services Case;combined 5G-Based Video Production and Distribution in a Crowded Stadium Event;dynamic Network Slicing: Challenges and Opportunities;dynamic Resource Allocation and Computation Offloading for Edge computing System;Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures;on the Prediction of Future User Connections Based on Historical Records in Wireless Networks;Programmable Edge-to-Cloud Virtualization for 5G Media Industry: the 5G-MEDIA Approach.

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10th international Congress on Telematics and computing, WITCOM 2021

10th International Congress on Telematics and Computing, WIT...

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10th international Congress on Telematics and computing, WITCOM 2021

ISBN: (纸本)9783030895853

the proceedings contain 19 papers. the special focus in this conference is on Telematics and computing. the topics include: Methodological Proposal for Privilege Escalation in Windows systems;Satisfaction of Members of a Facebook Group with the Credible Information Provided to Reduce Medical Misinformation in Obstetrics During the COVID-19 Pandemic in Peru;content Distribution and Storage Based on Volunteer and Community computing;classification of Cardiac Arrhythmias Using Machine Learning algorithms;Performance Analysis of S-ALOHA Protocol Under Pareto Distributed Packet Arrival;learning through Interactive Vicarious and Social Experiences, an Alternative to Developing Teaching Training Processes in Ict Skills;analysis of User Generated Content Based on a Recommender System and Augmented Reality;an Improved Riesz s-Energy-Based Archive to Handle Dominance Resistant Solutions;analysis of the Level of Geographic Criminal Risk Oriented to Women;mexican Edaphology Database;security Incident Classification Applied to Automated Decisions Using Machine Learning;integration of Rural and Urban Training in Teachers, Students and Older Adults in Computer Security Mediated by Technology;accuracy Comparison Between Deep Learning Models for Mexican Lemon Classification;detection of Covid-19 by Applying a Convolutional Artificial Neural Network in X-ray Images of Lungs;Scientific Literature Review for the Search of Vulnerabilities and Pentesting Tools for SCADA System;automatic Diagnosis of Cardiovascular Diseases Using Electrocardiogram Data and Artificial Intelligence algorithms: A Systematic Review;optic Disc and Optic Cup Segmentation Using Polar Coordinate and Encoder-Decoder Architecture.

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