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检索条件"任意字段=14th International Conference on Distributed Computing Systems"

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14th EAI international conference on Wireless and Satellite systems, WiSATS 2024

14th EAI International Conference on Wireless and Satellite ...

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14th EAI international conference on Wireless and Satellite systems, WiSATS 2024

ISBN: (纸本)9783031862021

the proceedings contain 62 papers. the special focus in this conference is on Wireless and Satellite systems. the topics include: A DQN-Based Routing Algorithm for Load Balancing in LEO Satellite Networks;design of Satellite Network Simulation Platform Supporting distributed Controller;Direct to Cell VLEO SatCom System Provide Low E2E Latency in STIN;dynamic Beam Optimization and Interference Mitigation Methods for Multi-beam Satellite systems;federated Learning-Based Cross-layer Security Design for Satellite Networks;DRL Based Secure Optimization for RIS Aided SATINs with RSMA;Research on the Signal Detection in an Uplink Ground-to-Satellite UDC-FSO System with Optical Path Difference;a High Precision Satellite Beam Agility Control Method;design of an Electro-Optical Hybrid Switching Architecture for Satellite Internet;genetic Algorithm-Based Inter-Satellite Link Establishment and Routing Scheme for Satellite Networks;Kolmogorov-Arnold Networks Based Signal Detection for OTFS systems in LEO Satellite Communications;Joint Computation Offloading and Resource Allocation for Low-Earth Orbit Satellites MEC Networks;key Technologies and Future Developments in the Design of Spaceborne Digital Transparent Processors;A Solution to the Problem of Retail Credit Risk Pricing Problem Based on the Machine Learning XGBoost Algorithm;a Cooperative Spectrum Sensing Method Based on Feature Extraction and Fusion Clustering;An Optimized Design of Golden Angle Modulation SCMA Codebook Based on Genetic Algorithms;Bidirectional Backscatter NOMA Schemefor Efficient CDRT systems;Joint Equalization and Multi-phase Tracking Based on MCC Criterion for Underwater Acoustic Communication;ISAC Beamforming in Connected Autonomous Vehicles;Model-Driven Deep Learning for MIMO Signal Detection;integrated Sensing and Communication Empowered Secure Computation Offloading in Integrated Satellite-Terrestrial Networks;Rotator-Aided RIS Beam Stabilization Method in UAV Communications;A Massive MIMO Antenna

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A Cross-Multi-modal Fusion Approach for Enhanced Engagement Recognition 26th

A Cross-Multi-modal Fusion Approach for Enhanced Engagement ...

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26th international conference on Speech and Computer

作者： Dresvyanskiy, Denis Karpov, Alexey Minker, Wolfgang Ulm Univ Albert Einstein Allee 43 D-89081 Ulm Germany ITMO Univ Kronverksky Pr 49Bldg A St Petersburg 197101 Russia Russian Acad Sci SPC RAS St Petersburg Fed Res Ctr 14th Line VO 39 St Petersburg 199178 Russia

ISBN: (纸本)9783031780134;9783031780141

Engagement recognition enables more natural and responsive human-computer interaction by allowing systems to monitor and adapt to a person's engagement levels. However, developing efficient real-time engagement recognition systems remains challenging. this research proposes a multi-modal engagement recognition approach enhanced with affective embeddings to address current limitations. Several computationally efficient deep learning models are developed to process facial, body, and emotional cues from video. Additionally, a novel cross-multimodal fusion approach is applied to combine various modalities using a cross-attention mechanism. We conducted extensive experiments on two datasets to analyze the impact of temporal context, showing that longer sequences significantly improve recognition performance. Furthermore, the results demonstrate that the proposed multi-modal approach achieves notably higher efficiency than individual modalities and outperforms modern engagement recognition frameworks, having comparable recognition performance with the winner of the Multimediate'23 challenge. thus, by appropriately modeling visual engagement dynamics, the introduced multi-modal framework enhances real-time engagement recognition to advance human-computer interactions.

关键词： Engagement recognition Affective computing Face analysis Body analysis

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14th EAI international conference on Broadband Communications, Networks, and systems, BROADNETS 2024

14th EAI International Conference on Broadband Communication...

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14th EAI international conference on Broadband Communications, Networks, and systems, BROADNETS 2024

ISBN: (纸本)9783031811678

the proceedings contain 49 papers. the special focus in this conference is on Broadband Communications, Networks, and systems. the topics include: Wearable Circularly Polarized MIMO Antenna: Design and Simulation for High-Data Biomedical Sensing Devices;implementation of Antenna in Satellite Ground Station for Cubesat;AESHA3: Efficient and Secure Sub-Key Generation for AES Using SHA-3;UWB Antenna with Integrated Quadruple Notch Bands;framework for Brute-Force Attack Detection Using Federated Learning;Differential Cascode Voltage Switch Logic (DCVSL) Level Shifter with Logic Error Detection;Robot for Transportation with an SMS Alert;Joint Design of User Association, Caching and Power Allocation for Delay Optimization in UAV-Enabled Networks;Low Power VLSI Architecture for Rail To Rail Dynamic Voltage Comparator;Enhanced Semantic Communication in 6G Networks Using DCGAN;An Efficient FR-1 MIMO Antenna for N78/77/48 Bands with Enhanced Isolation Using DGS;a Study on Efficient Approaches for Distributing Workloads Effectively in Edge computing systems;real Time Phishing Detection Using Lexical Analysis and Visual Similarity;securing the Internet of things: A Comprehensive Examination of Machine and Deep Learning Approaches Against Denial of Service Attacks;Design of Single Cycle MIPS RISC Processor Using Re-timing Technique;prediction of Crop Based on Characteristics of Agricultural Environment Using Machine Learning Techniques;IoT-Based Classification of COVID-19 Cases with Cardiovascular Disease Using Deep Convolutional Decision Trees;enhancing Maritime Safety with Deep Learning for Ship Identification;Implementation and Analysis of PUF Architectures for Enhanced Security;smart Drowsiness Detection System with Microcontroller Integration;innovative Motion Sensing System with Labview;supervene Bag A Smart Luggage Carrier;Enhancing Finite Impulse Response (FIR) Filtering with Distributive Arithmetic (DA) and Residue Number System (RNS) Optimization.

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14th EAI international conference on Broadband Communications, Networks, and systems, BROADNETS 2024

14th EAI International Conference on Broadband Communication...

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14th EAI international conference on Broadband Communications, Networks, and systems, BROADNETS 2024

ISBN: (纸本)9783031811708

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A Study on Efficient Approaches for Distributing Workloads Effectively in Edge computing systems 14th

A Study on Efficient Approaches for Distributing Workloads E...

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14th EAI international conference on Broadband Communications, Networks, and systems, BROADNETS 2024

作者： Lingutla, Kavya Penumuchu, Vennela Priya Nagisetty, Hima Varsha Nunna, Niharika Reeja, S.R. VIT-AP University Amaravati India

ISBN: (纸本)9783031811678

For the benefits of cloud computing, many enterprise companies have moved their services and apps to the cloud. the centralized cloud architecture experiences high workload, congestion, and delay bottlenecks resulting in high amounts of data and rapidly growing digits of connected devices that consume cloud services. Edge computing (EC) is consequently presented as a new paradigm to increase cloud capabilities close to the end devices. Here, the task allocation is mentioned as the workload distribution amid innumerable nodes in an edge computing network. Major difficulties in workload distribution include locating each task optimally based on its needs for computing capacity, storing data, and bandwidth of the network, and adjusting to network’s continuously changing nature. Algorithms for workload allocation can be centralized, decentralized, hybrid, or based on machine learning. the selection of technique relies on the particular application’s pre-requisites. Each approach has advantages and disadvantages. In greater detail, the choice of the best work distribution techniques depends on the configuration and architecture of the edge computing system, namely MEC, joint computing of edge, fog and cloud, P2P EC and much more. As a result, allotting the tasks in edge computing is an intricate, varied, as well as a difficult challenge which calls for delicate balancing act amidst multiple potentially competing goals, inclusive of resource-aware, energy efficiency, machine learning with latency, safety and quality of Experience (QoE). Recent years have seen a rise in the amount of research studies on edge devices’ work allocation optimization and performance evaluation. this paper compares and contrasts several methods for work load distribution, algorithms which are much optimized, and the communication network types which are often employed in edge computing systems. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Cloud computing architecture

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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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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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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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Efficient Placement of Interdependent Services in Multi-access Edge computing 20th

Efficient Placement of Interdependent Services in Multi-ac...

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20th international conference on the Economics of Grids, Clouds, systems, and Services, GECON 2024

作者： Chen, Shuyi Oikonomou, Panagiotis Hua, Zhengchang Tziritas, Nikos Djemame, Karim Zhang, Nan theodoropoulos, Georgios Southern University of Science and Technology Shenzhen China University of Leeds Leeds United Kingdom University of Thessaly Lamia Greece

ISBN: (纸本)9783031812255

the rise of 5G fuels multi-access edge computing (MEC), a transformative computing paradigm that leverages edge resources for low-latency mobile access and complex service execution. Deploying services across geographically distributed edge nodes challenges providers to optimize performance metrics like latency and resource efficiency, impacting user experience, operational cost, and environmental footprint. In the context of service scheduling with data flow dependencies, we propose heuristic-based service placement algorithms that balance minimizing latency and maximizing resource efficiency. Our algorithms, evaluated in a simulated environment using state-of-the-art workload benchmarks, achieve significant energy consumption improvements while maintaining comparable latency. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Mobile edge computing

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Discussion on Recursive Algorithm and Genetic Algorithm Based on Computer Algorithm Dynamic System 14th

Discussion on Recursive Algorithm and Genetic Algorithm Base...

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14th international conference on Frontier computing, FC 2024

作者： Zeng, Xin Heilongjiang International University Harbin150025 China

ISBN: (纸本)9789819623907

With the continuous development of computer information technology, its influence in various fields is increasing, especially in algorithmic dynamic systems, special computer algorithms can be used to improve calculation accuracy and efficiency, and improve working methods. With the rapid development of science and technology, especially the rapid development of various network technologies, the shortest path problem is increasingly used in various technologies, such as urban transportation planning, network routing, project planning, artificial intelligence games, etc. Nowadays, many new algorithms are gradually developed, the representatives of these new algorithms are genetic algorithms and recursive algorithms. In order to prove the superiority of genetic algorithms in solving the shortest path problem in dynamic weight systems, this article analyzes recursive algorithms and genetic algorithms based on dynamic systems based on computational algorithms, studies two cases of bus planning model based on multi-objective optimization and genetic algorithm and aircraft height optimization based on recursive algorithm. the research results show that the bus dispatch model based on multi-objective optimization and genetic algorithm can find the optimal bus dispatch plan through the algorithm in only 32 s;the recursive algorithm can optimize the green trajectory of aircraft high-altitude flight, reducing the total cost by 9.08%. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Genetic algorithms

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