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A novel CatractNetDetect deep learning model for effective cataract classification through data fusion of fundus images

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Discover Artificial Intelligence 2024年第1期4卷 54页

作者： Ismail, Walaa N. Alsalamah, Hessah A. Department of Management Information Systems College of Business Al Yamamah University Riyadh11512 Saudi Arabia College of Computer and Information Sciences King Saud University Riyadh4545 Saudi Arabia Computer Engineering Department College of Engineering and Architecture Al Yamamah University Riyadh11512 Saudi Arabia

Cataracts are common eye disorders characterized by the clouding of the lens, preventing light from passing through and impairing vision. Various factors, including changes in the lens’s hydration or alterations in its proteins, may contribute to their development. Regular eye examinations conducted by an ophthalmologist or optometrist are imperative for detecting cataracts and other ocular conditions early on. Manual checks by caregivers pose several problems, including subjectivity, human error, and a lack of expertise. Biomedical fusion involves combining or linking various characteristics specific to certain diseases from different medical imaging resources. The primary objectives of this approach in disease classification are to reduce the error rate and increase the number of retrieved features. The aim of this study is to evaluate the outcomes associated with fusing visual features related to left and right eye cataract characteristics. Additionally, we investigate the impact of limited variability in deep learning models, specifically in the classification of cataract fundus versus normal fundus images. To address this issue, this study introduces CataractNetDetect, an innovative multi-label deep learning classification system that fuses feature representations from pairs of fundus images (e.g., left and right eyes) for the automatic diagnosis of various ocular disorders. Our focus is on achieving improved performance by stacking discriminative deep feature representations to combine two fundus images into a unified feature representation. Several deep learning architectures are utilized as feature descriptors, including ResNet-50, DenseNet-121, and Inception-V3, enhancing the resilience and quality of representations. Fine-tuning of these DL architectures is conducted using the ImageNet dataset, followed by an integrated stacking approach combining ResNet-50, DenseNet-121, and Inception-V3 models. The model is trained on the publicly available ODIR-5k datas

关键词： Medical imaging

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Cause investigation for hull damage of ferry Sewol sinking accident using FSI analysis technique 9th

Cause investigation for hull damage of ferry Sewol sinking a...

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9th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2023

作者： Lee, S.G. Lee, J.S. Chung, Y.G. Park, C.B. Marine Safety Technology Busan Korea Republic of Division of Naval Architecture ans Ocean Systems Engineering Korea Maritime and Ocean University Busan Korea Republic of

ISBN: (纸本)9781032611303

Ferry Sewol capsized and sank down to the bottom in the sea water due to the rapid turning for the several reasons, such as lack of stability and poor lashing, or due to the external forces. The objective of this study is to figure out the cause of damage based on the thorough investigation of its inside and outside damage after being salvaged on the ground. Its deck of stern left side fell down the bottom in the seawater with around 158° lateral incline, and its left side hit the bottom in the seawater right after the top of chimney was crashed during its bow subsiding. Its left side was damaged with some cracks, its cabins and passageways were also damaged and overlapped, and its left side of strong cargo deck was folded. In this study, full-scale ship flooding and sinking simulation was carried out using Marine Accident Integrated Analysis System (MAIAS;highly advanced M&S system of Fluid-Structure Interaction (FSI) analysis technology), including total cargos. © 2024 The Author(s).

关键词： Seawater

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Cause investigation for hull damage of ferry Sewol by submarine collision using FSI analysis technique 9th

Cause investigation for hull damage of ferry Sewol by submar...

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9th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2023

作者： Lee, S.G. Lee, J.S. Park, C.B. Chung, Y.G. Marine Safety Technology Busan Korea Republic of Division of Naval Architecture ans Ocean Systems Engineering Korea Maritime and Ocean University Busan Korea Republic of

ISBN: (纸本)9781032611303

Only hypotheses exist for the cause of the sinking accident of ferry Sewol, and validity and authenticity of the hypothesis are not confirmed. The objective of this study is to examine the effect of ferry Sewol’s external force, carrying out the full-scale ship collision simulation when an underwater object, such as a submarine, collided the ferry Sewol during a rapid turning, using Marine Accident Integrated Analysis System (MAIAS;highly advanced M&S system of Fluid-Structure Interaction (FSI) analysis techniques of LS-DYNA code suitable for the cause investigation of marine accident. Diverse collision scenarios were considered for the clarification of the cause of the sinking accident of ferry Sewol caused by the submarine collision, such as the collision locations, collision angles and velocities of submarine. As the results of various collision simulations, no possibility was found to affect the rapid turning of ferry Sewol. © 2024 The Author(s).

关键词： Submarines

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Integrating Urban Design into Optimal Spatial Deployment of Electric Vehicle Charging Stations

Integrating Urban Design into Optimal Spatial Deployment of ...

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IISE Annual Conference and Expo 2024

作者： Deng, Weiliang Fan, Neng Li, Shujuan Yang, Bo Department of Systems & Industrial Engineering University of Arizona TucsonAZ United States School of Landscape Architecture and Planning University of Arizona TucsonAZ United States

ISBN: (纸本)9781713877851

The adoption of electric vehicles (EVs) increases the need for charging stations, especially the public charging infrastructure. Tailored to various land use functions within various regions, the urban planning schemes for such infrastructure should be properly designed to improve user experience. This paper proposes a multi-stage stochastic optimization approach for spatial deployment of charging stations with the consideration of four urban design schemes to meet uncertain charging demands in multiple future years. To capture the increases of EV adoptions, a scenario tree is generated based on the collected data in a specific region in Tucson, Arizona, and both flow-capture location and location-allocation models are applied to predict the charging demands. The expected costs associated with such deployments will be minimized while the user experience with respect to urban design schemes will be maximized. Numerical experiments are performed to demonstrate the effectiveness of the proposed approach. © IISE Annual Conference and Expo *** rights reserved.

关键词： Stochastic systems

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Investigating the Effect of the Characteristics of Inclusions and Micro-voids on Fretting Fatigue Initiation Lifetime with Two-Scale Analysis Approach 10th

Investigating the Effect of the Characteristics of Inclusion...

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10th International Conference on Fracture Fatigue and Wear, FFW 2022

作者： Wang, Can Abdel Wahab, Magd Soete Laboratory Department of Electrical Energy Metals Mechanical Constructions and Systems Faculty of Engineering and Architecture Ghent University Ghent Belgium

ISBN: (纸本)9789811978074

Fretting fatigue problem involves a multiaxial stress state due to the contact problem. This complicated mechanical situation decreases the total fatigue life seriously. To obtain an accurate estimation of fretting fatigue lifetime, continuum damage mechanics (CDM) approach in conjunction with finite element method (FEM) is applied in this paper. Usually, the material is assumed by researchers as homogeneous material, but some micro-voids, inclusions and micro-cracks exist in the material in reality. These defects influence the estimation of fretting fatigue lifetime dramatically, and it is necessary to take these defects into account. In this paper, the authors investigate the characteristics of micro-voids and inclusions on fretting fatigue lifetime with a two-scale analysis approach. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Continuum damage mechanics

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Autonomous Network Assurance in Intent Based Networking: Vision and Challenges 32

Autonomous Network Assurance in Intent Based Networking: Vis...

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32nd International Conference on Computer Communications and Networks, ICCCN 2023

作者： Leivadeas, Aris Falkner, Matthias Dpt. of Software Engineering and It Montreal Canada Global Service Provider Architecture Cisco Systems Inc. Ottawa Canada

ISBN: (纸本)9798350336184

Intent Based Networking (IBN) is a new paradigm that promises to create autonomous networks that can comply to high-level intents of network users and exhibit self-adaptation and self-optimization properties. The major IBN component to achieve this is network assurance. The assurance has as a goal to autonomously trigger corrective actions, whenever the conditions of the network do not allow to fulfill the performance requirements of its users. Accordingly, network assurance is expected to be largely based on monitoring and telemetry processes running conjointly with state of the art Artificial Intelligence techniques that will set off remedy solutions to bring the network into a compliance state. Given the importance of IBN and network assurance into the designing of autonomous networks, this paper introduces the main architectural components and technologies needed to achieve this visionary evolution of next generation networks. Particular emphasis is placed on how the network can interact with the end users and network operators in an easy way as mandated by the IBN premises. Finally, light is shed on the open challenges and future directions of this novel but unexplored research topic. © 2023 IEEE.

关键词： Next generation networks

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Forecasting the Number of Passengers in Rail System by Deep Learning Algorithms 2nd

Forecasting the Number of Passengers in Rail System by Deep ...

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2nd International Congress of Electrical and Computer engineering, ICECENG 2023

作者： Asutay, Aslı Uğurlu, Onur Smart Systems Engineering 35665 Izmir Bakırçay University Izmir Turkey Faculty of Engineering and Architecture Department of Fundamental Sciences 35665 Izmir Bakırçay University Izmir Turkey

ISBN: (纸本)9783031527593

Public transportation has emerged as an important factor in selecting and developing urban centers, including diverse sectors, such as commerce, social engagement, education, and healthcare. The relationship between transportation and urban development underlines the crucial role of transportation in cities. The continuous increase in population density has led to a rapid increase in the number of urban passengers, thereby intensifying the complexity of public transportation networks. Consequently, developing strategic short-term and long-term transportation plans has become an essential task. In this study, we developed a prediction model for estimating the number of passengers in subways. In this manner, we used Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) algorithms, which are reported to have high predictive performance in time series. To test the developed model, we used New York Subway data. The results show that the RNN algorithm has a high prediction performance in estimating the number of passengers. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Forecasting

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Multiscale analysis-based peridynamic simulation of fracture in porous media

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Frontiers of Structural and Civil engineering 2024年第1期18卷 1-13页

作者： Zihao YANG Shangkun SHEN Xiaofei GUAN Xindang HE Junzhi CUI School of Mathematics and Statistics Northwestern Polytechnical UniversityXi’an 710072China School of Mathematical Sciences Tongji UniversityShanghai 200092China School of Mechanics Civil Engineering and ArchitectureNorthwestern Polytechnical UniversityXi’an 710072China LSEC ICMSECAcademy of Mathematics and Systems ScienceCASBeijing 100190China

The simulation of fracture in large-scale structures made of porous media remains a challenging *** techniques either assume a homogeneous model,disregarding the microstructure characteristics,or adopt a micro-mechanical model,which incurs an intractable computational cost due to its complex stochastic geometry and physical properties,as well as its nonlinear and multiscale *** this study,we propose a multiscale analysis-based dual-variable-horizon peridynamics(PD)model to efficiently simulate macroscopic structural *** influence of microstructures in porous media on macroscopic structural failure is represented by two PD parameters:the equivalent critical stretch and *** equivalent critical stretch is calculated using the microscale PD model,while the equivalent micro-modulus is obtained through the homogenization method and energy density equivalence between classical continuum mechanics and PD *** examples of porous media with various microstructures demonstrate the validity,accuracy,and efficiency of the proposed method.

关键词： porous media multiscale variable-horizon peridynamic equivalent critical stretch equivalent micro-modulus

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Dispatching, Positioning and Routing Resources for Wildfire Initial Attack

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Networks 2025年第1期86卷 80-102页

作者： Alvelos, Filipe Marto, Marco Mendes, André Department of Production and Systems/ALGORITMI Research Center/LASI University of Minho Braga Portugal ALGORITMI Research Center/LASI University of Minho Braga Portugal Department of Naval Architecture and Ocean Engineering/RouteLab University of São Paulo São Paulo Brazil

Wildfire is a global issue that requires contributions from different fields to address its multiple and potentially severe impacts. The subject of this paper is wildfire suppression. In particular, a mixed integer programming (MIP) model is formulated for dispatching, positioning, and routing firefighting resources (e.g., crews and helicopters) in the initial attack. Following the minimum travel time principle, wildfire spread is modeled as the shortest path in a network, as is common in the literature for this type of approach. As for modeling resource movements and attack positions, it is proposed that each type of resource has its own network (e.g., roads) and interaction with the fire spread network. A heuristic, which alternates between MIP (for dispatching and positioning) and shortest path algorithms (for routing) is also conceived, and shown to provide significantly better solutions than solving the complete MIP model. Experiments with data from an actual landscape in Portugal were conducted with pyO3F (a Python framework being developed under the scope of the project "An optimization framework for reducing forest fire"). pyO3F builds the networks of fire and resources from vector and raster files (e.g., land use, altitudes, roads) and parameters from the user (e.g., resolution, fire behavior model). After an optimization approach is applied to a given scenario (characterized by a set of ignition nodes and a wind direction and intensity), pyO3F returns results in text (e.g., the burned area in given instants) and vector files (e.g., fire spread, resources movements, and attacks). © 2025 Wiley Periodicals LLC.

关键词： Travel time

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The chamber design of the L-shaped oscillating water column using artificial neural network 15th

The chamber design of the L-shaped oscillating water column ...

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15th European Wave and Tidal Energy Conference, EWTEC 2023

作者： Lin, C.-C. Chow, Y.-C. Nguyen, D.T. Department of mechanical and mechatronic engineering and Center for Ocean Energy System National Taiwan Ocean University Keelung202301 Taiwan Department of systems engineering and naval architecture and Center for Ocean Energy System National Taiwan Ocean University Keelung202301 Taiwan Department of systems engineering and naval architecture National Taiwan Ocean University Keelung202301 Taiwan

Among the various wave energy converters available, the oscillating water column (OWC) shows several advantages in implementation and maintenance. In dealing with the survivability issues, incorporating OWCs into reinforced concrete constructions, like breakwaters, is more cost-effective and can endure the effects of seawater impact and erosion. This paper focuses on optimizing the chamber design of a novel OWC type, the L-shaped OWC, by establishing a general design procedure to achieve higher power-capturing efficiency. The performance of the OWC is influenced significantly by the OWC’s geometry under a specified wave condition. It is found that the dimension of the air chamber and water duct is critical in determining OWC’s performance. We develop the chamber design procedure based on the artificial neural network approach by establishing a collection of two-dimensional RANS simulations as the training database. In the end, the performance of the optimal design is compared with the design of a previous paper. The result shows that the capture factor of the present optimized chamber geometry of the L-shaped OWC is 60% more than a former design. © 2023 European Wave and Tidal Energy Conference. This paper has been subjected to single-blind peer review.

关键词： Tidal power

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