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Neural Network Ensemble for Detecting Parasite Eggs in Microscopic Images 16

Neural Network Ensemble for Detecting Parasite Eggs in Micro...

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16th international conference on ENTERprise Information systems, CENTERIS 2024 - 12th international conference on Project MANagement, ProjMAN 2024 - 14th international conference on Health and Social Care Information systems and Technologies, HCist 2024

作者： Bessa, Matheus L.L. Junior, Geraldo Braz De Almeida, João Dallyson Souza Applied Computing Group-Federal University of Maranhão Vila Bacanga São Luís65080-805 Brazil

Intestinal parasite infections are a global health problem. In 2022, the WHO estimates that up to 1.2 billion people will be infected with Ascaris lumbricoides. Diagnosis is conducted by analyzing faecall samples under a microscope. However, this process is laborious and prone to error. Considering this, this study proposes a methodology to automate the detection of parasite eggs in microscope images. this methodology applies multiple object detectors in an ensemble and submits a model to reduce false negatives in the public dataset Chula-ParasiteEgg-11, with 11,000 images and 11 classes of parasites. Using this approach, it was possible to reduce the false negative rate and improve the f1 score up to 0.94. the results suggest that the proposed model leads to a reduction of false negatives and an improvement in recall. © 2025 the Author(s).

关键词： Ensemble Object Detection Parasite egg detection

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Dialect recognition based on improved GFCC with VMD and Teager energy operator cepstral coefficients 16

Dialect recognition based on improved GFCC with VMD and Teag...

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16th international conference on Signal Processing systems, ICSPS 2024

作者： Zhang, Liyan Qi, Chao Liu, Zengli Zhao, Xuanzhi Rong, Shaowei Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Kunming University of Science and Technology Computing Center Kunming650500 China

ISBN: (纸本)9781510689251

Aiming at the problems of low recognition rate of Chinese dialects and poor robustness in noisy environment, this paper proposes an improved feature extraction algorithm, which combines the Sparrow Search Algorithm (SSA) and Variational Mode Decomposition (VMD) with the improved Gamma-tone Frequency Cepstral Coefficients (GFCC) and Teager Energy Operator Cepstral Coefficient (TEOCC). Firstly, the VMD parameters are optimized by SSA, the dialect signal is decomposed into different modal components, and the correlation coefficients with the original signal are calculated. then, the component of the dominant signal is screened according to the correlation, which is used to calculate the GFCC characteristics. Subsequently, the improved GFCC features are fused with TEOCC, and Principal Component Analysis (PCA) is used to reduce the dimension of the fusion features. Finally, the Gaussian mixture model-universal background model (GMM-UBM) is used for dialect recognition. the experimental results show that the proposed method can improve the recognition rate compared with the traditional GFCC and single feature in both noise-free and noise-free environments, and verify the effectiveness of the improved algorithm in dialect recognition. © 2025 SPIE.

关键词： Variational mode decomposition

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FGNet: A Lightweight Network for Tongue Image Segmentation 16

FGNet: A Lightweight Network for Tongue Image Segmentation

引用

16th international conference on Signal Processing systems, ICSPS 2024

作者： Wang, Jing Huang, Jianbo Zhao, Ke Wang, Yongping Zhang, Kexin Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Shenyang China College of Information Engineering Liaoning University of Traditional Chinese Medicine Shenyang China

ISBN: (纸本)9781510689251

In contemporary medical technologies, tongue imaging plays a crucial role in diagnosing various diseases, particularly within traditional Chinese medicine, where tongue diagnosis is a critical component. this study aims to develop a lightweight and rapid semantic segmentation network tailored for tongue images. We highlight the importance of low-level features for precise pixel-level predictions. Additionally, we explore the impact of arbitrary histogram equalization on network performance degradation during image enhancement. Experimental results demonstrate that our model, which utilizes only 3.8% of the parameters compared to UNet and requires approximately 81.44% of the computation time, achieves a prediction mean Intersection over Union (MIoU) that is 5.49% higher. this indicates that our model is well-suited for deployment on compact embedded systems. © 2025 SPIE.

关键词： Semantic Segmentation

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HistAttentionNAS: A CNN built via NAS for Penile Cancer Diagnosis using Histopathological Images 16

HistAttentionNAS: A CNN built via NAS for Penile Cancer Diag...

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作者： Durand R, José Ribamar Junior, Geraldo Braz Da Silva, Italo Francyles Santos Da Costa Oliveira, Rui Miguel Gil Applied Computing Group Federal University of Maranhão Vila Bacanga São Luís65080-805 Brazil Graduate Program in Adult Health - PPGSAD Federal University of Maranhão Vila Bacanga São Luís65080-805 Brazil

Penile cancer, although rare, has an increasing mortality rate in Brazil, highlighting the need for effective diagnostic methods. Artificial Intelligence (AI) in histopathological analysis can speed up and objectify diagnosis, but designing an ideal architecture is challenging. In this study, we propose a neural architecture search (NAS) methodology for detecting penile cancer in digital histopathology images. We explored different configurations of stem blocks and the inclusion of attention mechanisms, highlighting specific preferences depending on the magnification of the images. the results showed that the NAS methodology enabled the discovery of more accurate and optimized architectures for this task, surpassing conventional models. the proposed models achieve 89.5% and 88.5% F1-Score for 40X and 100X magnification, respectively. © 2025 the Author(s).

关键词： Lung cancer

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DualAttentionNet: A Convolutional Neural Network for thoracic Disease Classification in Chest X-Rays 16

DualAttentionNet: A Convolutional Neural Network for Thoraci...

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作者： Gonçalves, Lucas Araújo Junior, Geraldo Braz Bessa, Matheus L.L. Matos, Caio E.F. Fernandes, Arthur G.S. Applied Computing Group Federal University of Maranhão Vila Bacanga São Luís65080-805 Brazil

this article presents a new convolutional neural network DualAttentionNet, for classifying thoracic diseases in chest X-ray images. Radiological interpretation can be challenging, especially when a patient presents multiple pathologies. In this work, we propose the DualAttentionNet, designed to perform multi-label classification, identifying various conditions in a single X-ray image. this network combines convolutional neural networks (DenseNet and ResNet) with an attention block (SE-Block). the DualAttentionNet demonstrated superior individual performance in detecting atelectasis, cardiomegaly, effusion, infiltration, hernia, and pulmonary edema. Overall, an AUC (area under the ROC curve) score of 0.819 was achieved. © 2025 the Author(s).

关键词： Chest X-Ray Image Deep Learning Multi-label Classification

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14th international conference on distributed computing and Artificial Intelligence, DCAI 2017 14th

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14th international conference on distributed computing and Artificial Intelligence, DCAI 2017

ISBN: (纸本)9783319608815

the proceedings contain 16 papers. the special focus in this conference is on distributed computing and Artificial Intelligence. the topics include: the Bayesian cost–effectiveness decision problem;evaluation of scientific production without using bibliometric indicators;information aggregation in big data;a decision framework for understanding data-aware business process models;cluster analysis as a decision-making tool;similar patterns of cultural and creative industries;a basic algorithm to support decision-making behaviour;looking for regional convergence;information manipulation and web credibility;a data mining analysis of the Chinese inland-coastal inequality;a unified framework for multicriteria evaluation of intangible capital assets inside organizations;processing and analysing experimental data using a tensor-based method and the mediating effect of the absorptive capacity in the international entrepreneurial orientation of family firms.

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EAD-COHA: A Cost-optimized Edge Application Deployment Method Ensuring High Availability 16

EAD-COHA: A Cost-optimized Edge Application Deployment Metho...

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16th international conference on Signal Processing systems, ICSPS 2024

作者： Shen, Lan Yin, Zhenyu Zhang, Feiqing Jing, Yanhong Lv, Tian Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang110168 China University of Chinese Academy of Sciences Beijing100049 China Dalian Polytechnic University Dalian116034 China Liaoning Key Laboratory of Domestic Industrial Control Platform Technology on Basic Hardware and Software Shenyang110168 China Yanshan University Qinghuangdao066004 China

ISBN: (纸本)9781510689251

In the edge computing paradigm, applications can be deployed on edge servers, providing low-latency services to users. However, limited resources and the risk of server failures pose significant challenges to ensuring high availability. While existing research has improved deployment robustness and coverage, most methods primarily focus on enhancing availability under constrained costs. Nevertheless, application deployment stakeholders prioritize optimizing deployment costs while maintaining high availability as a fundamental requirement. Although some studies have investigated the cost in edge application deployment, they often concentrate on costs such as resources and access latency, while neglecting the essential need to reduce deployment costs alongside high availability. To bridge this gap, we propose the EAD-COHA model, which aims to optimize deployment costs while ensuring high availability. Experimental results based on public datasets demonstrate that the EAD-COHA model effectively reduces deployment costs while ensuring high availability. Compared to three baseline algorithms, it achieves significant cost savings for application deployment stakeholders while maintaining effective deployment outcomes. © 2025 SPIE.

关键词： Cost reduction

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17th IFIP WG 6.1 international conference on Coordination Models and Languages, COORDINATION 2015 Held as Part of the 10th international Federated conference on distributed computing Techniques, DisCoTec 2015

17th IFIP WG 6.1 International Conference on Coordination Mo...

引用

17th IFIP WG 6.1 international conference on Coordination Models and Languages, COORDINATION 2015 Held as Part of the 10th international Federated conference on distributed computing Techniques, DisCoTec 2015

ISBN: (纸本)9783319192819

the proceedings contain 16 papers. the special focus in this conference is on Coordination Models and Languages. the topics include: Replica-based high-performance tuple space computing;investigating fluid-flow semantics of asynchronous tuple-based process languages for collective adaptive systems;a coordination model based on logic inference;distributed logic programming for decentralized mobile ensembles;safe runtime updates of distributed applications;type reconstruction algorithms for deadlock-free and lock-free linear π-calculi;a fixpoint-based calculus for graph-shaped computational fields;take command of your constraints;a labelled semantics for soft concurrent constraint programming;parallelisation and application of AD3 as a method for solving large scale combinatorial auctions;handling agent perception in heterogeneous distributed systems;blending event-based and multi-agent systems around coordination abstractions;a modeling language for distributed database applications;open transactions on shared memory;VISIRI - distributed complex event processing system for handling large number of queries.

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35th IFIP WG 6.1 international conference on Formal Techniques for distributed Objects, Components and systems, FORTE 2015 Held as Part of the 10th international Federated conference on distributed computing Techniques, DisCoTec 2015

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35th IFIP WG 6.1 international conference on Formal Techniques for distributed Objects, Components, and systems, FORTE 2015 Held as Part of the 10th international Federated conference on distributed computing Techniques, DisCoTec 2015

ISBN: (纸本)9783319191942

the proceedings contain 16 papers. the special focus in this conference is on Formal Techniques for distributed Objects, Components and systems. the topics include: Types for deadlock-free higher-order programs;on partial order semantics for SAT/SMT-based symbolic encodings of weak memory concurrency;a strategy for automatic verification of stabilization of distributed algorithms;faster linearizability checking via P-compositionality;translation validation for synchronous data-flow specification in the signal compiler;dynamic causality in event structures;loop freedom in AODVv2;code mobility meets self-organisation;timely dataflow;difference bound constraint abstraction for timed automata reachability checking;compliance and subtyping in timed session types;type checking privacy policies in the π-calculus;extending testing automata to all LTL;simple isolation for an actor abstract machine and sliced path prefixes.

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A Serverless Approach for Resource-constrained Smart Locker Networks 16

A Serverless Approach for Resource-constrained Smart Locker ...

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作者： Seleiro, M. Simão, J. Datia, N. Rebelo, R. Pato, M. Serrador, A. Sampaio, P. Politécnico de Lisboa Lisbon Portugal INESC-ID Lisboa Lisboa Portugal CTT-Correios de Portugal S.A. Portugal NOVA LINCS NOVA School of Science and Technology Monte da Caparica Portugal LASIGE FCUL Universidade de Lisboa Lisboa Portugal

Online retail sales continue to grow, presenting couriers companies with a chance to enhance their market presence. Couriers must keep up with this trend in package processing and delivery. A modern solution is the use of smart lockers. these are equipped with a minimum amount of computing resources, while communicating efficiently with cloud supported services. To address these constraints, developers must consider the system architecture, deployment strategies, and data processing optimisation of the lockers (edge) and the main services (cloud), working alongside stakeholders to acquire the most appropriate hardware for the project. In this paper, we explore the use of a serverless architecture for smart locker. Using stateless functions and workflows, the locker can quickly and effectively react to events from the cloud and its own frontend, while supporting a lightweight serverless framework that provides an easy way to deploy and maintain the continuous software services/functions execution. these serverless frameworks have low resource requirements, allowing developers to utilize less resourceful hardware for the benefit of stakeholders. Additionally, a work-in-progress workflow prototype for the locker functions will also be presented, tested in a resource-constrained environment using faasd as the supporting framework, and compared against a more traditional service-oriented approach-Spring services. Our results show that serverless performed considerably well when compared to service-oriented solutions, with comparable results in terms of both memory usage and response latency. © 2025 the Author(s).

关键词： Edge computing

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