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Integrating Structural Information: Comparing Classification-Based and Segmentation-Based Predictors in Bioinformatics (case study: protein-peptide region residue-level interaction) using structural information 29

Integrating Structural Information: Comparing Classification...

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29th International computer Conference, computer Society of Iran, CSICC 2025

作者： Shafiee, Shima Fathi, Abdolhossein Safari, Faezeh Department of Computer Engineering and Information Technology Razi University Kermanshah Iran School of Electrical Eng. and Computer Science Faculty of Eng. Architecture and Info. Tech University of Queensland BrisbaneQLD Australia

ISBN: (纸本)9798331523114

Understanding the regions where proteins bind to peptides is vital for studying diseases like cancer, as it sheds light on various cellular processes and aids in drug discovery. Although researchers can experimentally investigate protein-peptide interactions at the region level by analyzing the structures of their complexes, only a limited number of these structures are known. Additionally, experiments to determine these interactions can be both costly and time-consuming. Computational methods provide an alternative and complementary approach to experimental techniques. As a result, using computational methods to predict peptide-binding regions can significantly enhance the efficiency and cost-effectiveness of experimental research. To leverage these advantages, this study introduces a new method named Structure-based Prediction of Residue-level Interaction of Peptides (SPRINT-Pep), designed to pinpoint the binding regions between proteins and peptides. This approach leverages two distinct predictive models: a classification-based model combining DeepResNet with a Support Vector Machine (SVM) and a segmentation-based model called DeepU-Net. Our predictions outperform other state-of-the-art methods in terms of F-measures (by at least 23%), precision (by at least 3.7%), and the balance between sensitivity and specificity (by about 7.7%). These findings demonstrate the proficiency of the proposed method. © 2025 IEEE.

关键词： Bioinformatics

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A Survey on Mapping of Urban Green Spaces within Remote Sensing Data Using Machine Learning & Deep Learning Techniques 15

A Survey on Mapping of Urban Green Spaces within Remote Sens...

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15th International Conference on computer and Automation Engineering, ICCAE 2023

作者： Burrewar, Smita Sunil Haque, Mazharul Haider, Tanwir Uddin National Institute of Technology Patna Architecture & Planning Department Bihar Patna India National Institute of Technology Patna Computer Science & Engineering Department Bihar Patna India

ISBN: (纸本)9798350396225

For environmental protection, urban planning, monitoring, and management of the urban ecosystem, mapping urban green spaces is a crucial undertaking. A vital source of information for United Nations Sustainable Development Goal 11.7 could come from urban green space mapping. The standard method of mapping urban green spaces requires field measurements and takes a lot of time. It is also important to update urban green space maps periodically because urban green spaces can change quickly over time due to development. With the advent of high-resolution satellite sensors like Sentinel-1 and Sentinel-2, a large number of remote sensing images may be gathered, providing quick and precise information over urban areas. This work intends to offer a new perspective on how crowd sourced geospatial big data and remote sensing may be combined to enhance the mapping of urban green spaces, including time optimization and accurate information through machine learning and deep learning. For the revitalization of cities, this data will be valuable. Remote sensing imagery data can be classified using machine learning techniques like Support vector machines (SVM), Random forests (RF), and Naive Bayes (NB). In deep learning techniques such as Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), K Nearest Neighbor (KNN), Generative Adversarial Networks (GAN), and Recurrent Neural Networks (RNN) can be used to classify remote sensing images. © 2023 IEEE.

关键词： Remote sensing

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A draft drawing structure tool for improve 3D modeling process in student 9

A draft drawing structure tool for improve 3D modeling proce...

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Joint 9th International Conference on Digital Arts, Media and technology with 7th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications Engineering, ECTI DAMT and NCON 2024

作者： Sookkaew, Jirawat Sukmuang, Rachen Changjaikla, Pheeraphon University of Phayao School of Information and Communication Technology Department of Computer Graphic and Multimedia Phayao Thailand Kasem Bundit University School of of Architecture Department of Visual Communication Design Bangkok Thailand

ISBN: (纸本)9798350318241

In this research, the concept of applying the student's original learning based on the course or skills related to the use of hand drawing and sketching was applied by creating a 3D structure drawing and dividing it into 2 groups between Non-Draft Groups and Draft Groups Both groups created 3D models and assessed the structures. Upon examination, it was found that the structural drawing group produced 3D models with higher 3D structural evaluation scores than the other group. To show that the use of the sketch helps the 3D structure to be more complete. © 2024 IEEE.

关键词： Students

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A Painting Style System using an Improved CNN Algorithm

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IEIE Transactions on Smart Processing and Computing 2022年第5期11卷 332-342页

作者： Zhong, Yuan Huang, Xinyan Department of Architecture Sichuan College of Architectural Technology Chengdu615000 China School of Computer Science and Technology Shandong University of Finance and Economics Ji’nan250014 China

The rapid development of deep learning technology allows ordinary people to create artwork that imitates the style of paintings by famous masters through an algorithm. To create such works with artistic style, this research proposes an artificial neural network algorithm based on an improved convolutional neural network (CNN). First, a fast style-rendering model based on the improved CNN is constructed, and then, a server front end is built with the Bootstrap framework. The server-side back end of the system is built by combining a Python algorithm and a web framework, and finally, a complete model of the front-end and back-end network of the style rendering system is constructed. The model proposed in this paper is compared with two other models to verify its performance. The results show that information entropy of the model constructed is the highest at 5.58, which is higher than information entropy of the other two models. The average gradient value and the peak signal-to-noise ratio under the constructed model are 22.54 and 27.81, respectively, which are also higher than the other two models. Mutual information and the structural similarity index between rendered images and sample images under all three models were compared. Mutual information and structural similarity index of the model constructed by this research are 1.19 and 0.56, respectively, with much larger data sizes than the two comparison models. © 2022 Institute of Electronics and Information Engineers. All rights reserved.

关键词： Convolutional neural networks

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Genetic Programming and Coevolution to Play the Bomberman™ Video Game 26th

Genetic Programming and Coevolution to Play the Bomberman...

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26th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of EvoStar 2023

作者： Gold, Robert Branquinho, Henrique Hemberg, Erik O’Reilly, Una-May García-Sánchez, Pablo ALFA MIT CSAIL Cambridge United States Centre for Informatics and Systems of the University of Coimbra Department of Informatics Engineering University of Coimbra Coimbra Portugal Department of Computer Architecture and Computer Technology University of Granada Granada Spain

ISBN: (纸本)9783031302282

The field of video games is of great interest to researchers in computational intelligence due to the complex, rich and dynamic nature they provide. We propose using Genetic Programming with coevolution and lexicographic fitness to generate an agent that plays the Bomberman™game. We investigate two sets of Genetic Programming building blocks: one contains conditions relative to movement, and the other does not. We aim to see whether the benefits of these movement-related conditions outweigh the negatives caused by increased search space size. We show that the benefits gained do not outweigh the increase in search space size. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Genetic programming

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Managing aging bridges under seismic hazards through deep reinforcement learning 12th

Managing aging bridges under seismic hazards through deep re...

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12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024

作者： Metwally, Z. Andriotis, C.P. Molaioni, F. Faculty of Architecture and the Build Environment Delft University of Technology Delft Netherlands Department of Civil Engineering and Computer Science Engineering University of Rome Tor Vergata Rome Italy

ISBN: (纸本)9781032770406

Structural systems must satisfy multiple performance and functionality requirements during their life cycle, withstanding safety-reducing degradation mechanisms and hazards. Intervention strategies must be planned accordingly to maintain structural integrity and minimize total life-cycle costs and risks, posing a complex optimization problem. Recent advances in multi-agent deep reinforcement learning (DRL) in conjunction with partially observable Markov Decision Processes (POMDPs) have shown great potential for determining optimal structural integrity management policies for systems with large state and action spaces compared to traditional decision practices. This paper tackles the maintenance optimization problem of aging bridges in seismic-prone areas, creating an updatable environment that embeds chloride-induced corrosion and state-dependent seismic fragility throughout the bridge life-cycle. The evolution of the environment is captured by a dynamic Bayesian network, and it is further integrated with decentralized multi-agent DRL algorithms to identify near-optimal lifecycle decisions under risk constraints. Results on a multi-component bridge system show the suitability of the developed framework for minimizing expected life-cycle costs, and for providing detailed and adaptive policies that significantly outperform traditional condition- and time-based maintenance plans. © 2024 The Author(s).

关键词： Life cycle

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Maneuvering Angle Rigid Formations With Global Convergence Guarantees

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IEEE/CAA Journal of Automatica Sinica 2022年第8期9卷 1464-1475页

作者： Liangming Chen Zhiyun Lin Hector Garcia de Marina Zhiyong Sun Mir Feroskhan School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Computer Architecture and Technology and also with CITICUniversity of Granada18014 GranadaSpain Department of Electrical Engineering Eindhoven University of Technology5600 MB Eindhoventhe Netherlands

Angle rigid multi-agent formations can simultaneously undergo translational,rotational,and scaling maneuvering,therefore combining the maneuvering capabilities of both distance and bearing rigid ***,maneuvering angle rigid formations in 2D or 3D with global convergence guarantees is shown to be a challenging problem in the existing literature even when relative position measurements are *** by angle-induced linear equations in 2D triangles and 3D tetrahedra,this paper aims to solve this challenging problem in both 2D and3D under a leader-follower *** the 2D case where the leaders have constant velocities,by using local relative position and velocity measurements,a formation maneuvering law is designed for the followers governed by double-integrator *** the leaders have time-varying velocities,a sliding mode formation maneuvering law is proposed by using the same *** the 3D case,to establish an angle-induced linear equation for each tetrahedron,we assume that all the followers'coordinate frames share a common Z ***,a formation maneuvering law is proposed for the followers to globally maneuver Z-weakly angle rigid formations in *** extension to Lagrangian agent dynamics and the construction of the desired rigid formations by using the minimum number of angle constraints are also *** examples are provided to validate the effectiveness of the proposed algorithms.

关键词： Index Terms—Angle rigid formations formation control formation maneuvering global convergence multi-agent systems

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Unsupervised Fouling Reconstruction in the Pipe Bend

Unsupervised Fouling Reconstruction in the Pipe Bend

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Iablonskyi, Denys Rasgado-Moreno, Carlos-Omar Ratassepp, Madis Klami, Arto Haggstrom, Edward Salmi, Ari University of Helsinki Department of Computer Science Department of Physics Helsinki Finland Tallinn University of Technology Department of Civil Engineering and Architecture Tallinn Estonia University of Helsinki Department of Computer Science Helsinki Finland University of Helsinki Department of Physics Helsinki Finland

ISBN: (纸本)9798350346459

Guided wave tomography allows the investigation of extended areas with a limited number of measurements, typically using transducer arrays. Most imaging methods rely heavily on the material properties such as dispersion curves, that in the case of fouling deposition are not always known. In the case of complex shaped structures, geometrical anisotropy can bring additional complexity. Here we present an unsupervised machine learning approach based on the Gaussian process to detect and characterize the fouling in a pipe bend that relies only on the difference between clean/healthy and fouled/damaged measured signals. © 2023 IEEE.

关键词： Nondestructive examination

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Effect of Environment Size on Spatial Perception in Virtual Reality 6

Effect of Environment Size on Spatial Perception in Virtual ...

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6th International Conference on computer-Human Interaction Research and Applications, CHIRA 2022

作者： Bach, Morten Trier Jensen, Poul Anker Lucaci, Andrei Iuliu Pupczyk, Damian Grzegorz Madsen, Claus Brøndgaard Computer Graphics Group Department of Architecture and Media Technology Aalborg University Aalborg Denmark

ISBN: (纸本)9789897586095

A trend of distance underestimations in Virtual Reality (VR) is well documented, but the reason still remains unclear. Therefore, this paper investigates the effect of differently sized Virtual Environments (VEs) on egocentric distance perception in VR as a potential influence. Verbal assessment, blind walking, and our own proposed method: walk and assess, were compared in an experiment, and blind walking was found to be the most accurate. A virtual replica of a real-life location was created as a transitional environment, while small (15m2), medium (35m2) and large (95m2) rooms were created to investigate the effect of VE size on spatial perception in VR. To establish the differences in estimations between the real world and VR when using blind walking, a study was conducted with the virtual replica and its real life counterpart at distances between 1 and 10 meters. Following this, the three distinct room sizes were used in an experiment to investigate the effect of the size of rooms on spatial perception in VR. The findings showed consistent underestimates of distances, and a trend for underestimation to grow as the distance grows was observed. Similarly, underestimates grew with the size of the environment. Copyright © 2022 by SCITEPRESS - Science and technology Publications, Lda. All rights reserved.

关键词： Virtual reality

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Evolvable Agents, a Fine Grained Approach for Distributed Evolutionary Computing: Walking towards the Peer-to-Peer Computing Frontiers

arXiv

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arXiv 2024年

作者： Laredo, Juan Luis Jiménez Castillo, Pedro A. Mora, Antonio M. Merelo, Juan Julián Department of Architecture and Computer Technology ETSIIT University of Granada Spain

In this work we propose a fine grained approach with self-adaptive migration rate for distributed evolutionary computation. Our target is to gain some insights on the effects caused by communication when the algorithm scales. To this end, we consider a set of basic topologies in order to avoid the overlapping of algorithmic effects between communication and topological structures. We analyse the approach viability by comparing how solution quality and algorithm speed change when the number of processors increases and compare it with an Island model based implementation. A finer-grained approach implies a better chance of achieving a larger scalable system;such a feature is crucial concerning large-scale parallel architectures such as Peer-to-Peer systems. In order to check scalability, we perform a threefold experimental evaluation of this model: First, we concentrate on the algorithmic results when the problem scales up to eight nodes in comparison with how it does following the Island model. Second, we analyse the computing time speedup of the approach while scaling. Finally, we analyse the network performance with the proposed self-adaptive migration rate policy that depends on the link latency and bandwidth. With this experimental setup, our approach shows better scalability than the Island model and a equivalent robustness on the average of the three test functions under study. © 2024, CC BY.

关键词： Scalability

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