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Article
Computer Science, Hardware & Architecture
Huan Wang et al.
Summary: This study proposes a novel structural evolution-based anomaly detection method (SeaDM) for generalized evolving social networks with limited structural information. SeaDM combines an evolutional state construction algorithm and an optimized evolutional observation algorithm to evaluate state change and detect anomalies.
Article
Computer Science, Interdisciplinary Applications
Mandeep Kaur et al.
Summary: A modified nature inspired optimizer algorithm, called sine-cosine chimp optimization algorithm (SChoA), has been developed based on sine-cosine functions to address the drawbacks of the traditional chimp optimization algorithm (ChoA) and improve efficiency and convergence speed. Experimental results demonstrate the robustness and efficiency of the proposed algorithm compared to others.
ENGINEERING WITH COMPUTERS
(2022)
Article
Mechanics
Teng Gao et al.
Summary: This paper presents a systematic scheme for suppressing drilling damage in carbon fiber reinforced polymer (CFRP) materials. The formation mechanism of damage at different hole positions is analyzed, and suppression strategies are reviewed from drilling techniques, conditions, tool design, and multi-techniques integration. The paper also summarizes the methods for damage evaluation and identifies the advantages of various suppression strategies, as well as prospects for future research directions.
COMPOSITE STRUCTURES
(2022)
Article
Computer Science, Hardware & Architecture
Chengjie Zong et al.
Summary: This study proposes a new detection method using the 3D-BoNet instance-segmentation model with a multi-scale grouping structure and transfer learning. It effectively segments the left and right tracks and the catenary of a tunnel in 3D point-cloud data. Experimental results show improved accuracy and computational efficiency.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Yan Xi et al.
Summary: This letter proposes a novel coding metasurface (CM) to reduce the wideband radar cross section (RCS) of a microstrip antenna array (MAA) while maintaining its radiation properties. The CM utilizes low Q resonators and a fast optimization method to achieve wideband control of the reflected wave. Experimental results demonstrate that the CM can realize significant RCS reduction and suppress specular scattering.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Tao Hong et al.
Summary: This article proposes a frequency selective surface (FSS) with ultrawide out-of-band rejection. By designing a common second-order bandpass FSS and improving it with an equivalent circuit model (ECM) design, the FSS achieves an ultrawide and high-intensity stopband. The hybrid resonator pole separation (HRPS) decoupling method is introduced during the design process to suppress the unexpected out-of-band transmission pole caused by layer coupling. The measured results confirm that the proposed FSS can achieve excellent out-of-band rejection while maintaining a well passband.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Geography, Physical
Qingyang Wang et al.
Summary: This paper proposes a novel method for selecting a mosaic seamline network in orthophotos using a continuous space ant colony algorithm. Experiments demonstrate that the proposed method achieves better performance compared to existing commercial software and algorithms.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Materials Science, Multidisciplinary
A. Ouladbrahim et al.
Summary: This study discusses the application of the WOA-ANN hybrid model for crack length prediction and compares it with other techniques. The results show that the WOA-ANN method performs well in solving complex multidimensional problems.
MECHANICS OF MATERIALS
(2022)
Article
Engineering, Electrical & Electronic
Kai-Da Xu et al.
Summary: In this study, a 60 GHz third-order on-chip bandpass filter based on half-mode substrate integrated waveguide technology is synthesized using GaAs pHEMT. The HMSIW cavity is divided into three resonators using two coupling slots, and a third-order Chebyshev BPF is designed with predicted characteristics through the synthesis method. A fabricated BPF sample with a bandwidth of 29.2% shows good agreement between simulations and measurements.
SEMICONDUCTOR SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Faisal Al Thobiani et al.
Summary: This paper presents an inverse problem for crack identification in two-dimensional structures using XFEM, GWO, and IGWO. Experimental results show that IGWO outperforms GWO in terms of accuracy. Additionally, GWO and IGWO are employed to improve ANN parameters for crack length prediction.
THEORETICAL AND APPLIED FRACTURE MECHANICS
(2022)
Article
Chemistry, Multidisciplinary
Wenfeng Zheng et al.
Summary: This paper introduces the concept of few-shot learning and how deep learning methods use meta-learning for few-shot learning. By designing a multi-scale relational network (MSRN), the performance of image classification in small sample scenarios can be improved, and the issue of overfitting can be alleviated.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Wenfeng Zheng et al.
Summary: This paper proposes a deep fusion matching network to enhance sentence representation reasoning technology. By optimizing the matching layer and incorporating the dependency convolution layer, the model achieves improved reasoning depth and interpretability. Experimental results demonstrate that the proposed model outperforms shallow reasoning models in terms of reasoning effectiveness.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Wenfeng Zheng et al.
Summary: This paper proposes a joint optimization method based on multi-layer semantics to explore the influence of sentence representation and reasoning models on reasoning performance. The experiments show that this method outperforms existing methods. The optimization of sentence representation and reasoning models have different impacts on reasoning results and there is a mutual constraint between them.
PEERJ COMPUTER SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Jun Wang et al.
Summary: This paper proposes an algorithm for painting large objects based on a nine-axis UR5 robotic manipulator, aiming to improve the quality and efficiency of paint jobs. The algorithm consists of three phases: target point acquisition, trajectory planning, and UR5 robot inverse solution acquisition. The algorithm utilizes STL files, PCA algorithm, and k-d tree to obtain the point cloud model in the target point acquisition phase. Simulation results demonstrate the feasibility and effectiveness of the proposed algorithm.
APPLIED SCIENCES-BASEL
(2022)
Article
Mathematics
Tingting Cai et al.
Summary: This article proposes an improved variational inequality strategy for dealing with variational inequality in a Hilbert space. By combining Mann's mean value method with the widely used sub-gradient extra-gradient strategy, the previous iterations can be updated in a single step, saving time and effort. Experimental results demonstrate the correctness of the theoretical conclusion.
Article
Computer Science, Theory & Methods
Xiaolin Qin et al.
Summary: The Dixon resultant method is a practical approach used to eliminate variables from a parametric polynomial system. However, it is affected by extraneous factors, causing undesirable problems. Therefore, it is important to develop techniques that can eliminate or reduce these extraneous factors.
JOURNAL OF SYMBOLIC COMPUTATION
(2022)
Article
Computer Science, Hardware & Architecture
Guiyang Luo et al.
Summary: Mobile networks (MNs) are becoming increasingly complex, presenting challenges in deployment, management, operation, optimization, and maintenance. The application of artificial intelligence (AI) in MNs has shown potential in understanding and making intelligent decisions. This article proposes an AI-powered MN architecture and discusses the challenges and potential solutions associated with cognition complexity and decision-making. It also introduces a deep learning approach to map the state of an MN to perceived QoS, improving decision-making for operators.
Article
Engineering, Civil
Sang Luo et al.
Summary: In this paper, a pavement distress recognition method based on road quality detection equipment and deep learning is proposed. By using convolutional neural network for automatic recognition and quantitative evaluation, this method can improve the level of pavement maintenance management and predict the long-term development of distress.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Jagdish Chand Bansal et al.
Summary: The paper proposes an improved Grey Wolf Optimizer by enhancing its exploration and exploitation abilities using explorative equation and opposition-based learning. Experimental results confirm the efficiency of the proposed algorithm on standard benchmark test problems compared to other metaheuristic algorithms.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2021)
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Engineering, Ocean
Jinhui Wu et al.
Summary: This paper introduces a new dolphin recognizer by optimizing a multilayer perceptron neural network with the chimp optimization algorithm. Experimental results show that the proposed recognizer significantly outperforms other benchmark recognition methods.
APPLIED OCEAN RESEARCH
(2021)
Article
Mechanics
Samir Khatir et al.
Summary: This paper proposes two-stage approaches to study damage detection, localization, and quantification in Functionally Graded Material (FGM) plate structures. It uses IsoGeometric Analysis (IGA) to model FGM plates and an Improved Artificial Neural Network using Arithmetic Optimization Algorithm (IANN-AOA) for damage quantification. The improved indicator shows high precision in predicting damaged elements and IANN-AOA provides more accurate results for damage quantification compared to IANNBCMO.
COMPOSITE STRUCTURES
(2021)
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Engineering, Mechanical
Lingfeng Liu et al.
Summary: A novel perturbation method is proposed in this paper to reduce the dynamical degradation of digital chaotic maps, by perturbing the parameter and state during iteration to prevent the system from entering a cycle. Numerical experiments prove the effectiveness of this method and its ability to improve the dynamical characteristics of original chaotic maps in different scenarios.
NONLINEAR DYNAMICS
(2021)
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Engineering, Electrical & Electronic
Kunqian Liu et al.
Summary: The paper proposes a DeepBAN communication framework for dynamic WBANs, using deep learning approach for channel prediction and mobile edge computing to reduce response time. By applying joint power control, time-slot allocation, and relay selection algorithm, the system achieves maximum energy efficiency.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Feng Liu et al.
Summary: This article introduces a shared-fuzzy-equivalence-relation neural network (SFERNN) for addressing the multisource heterogeneous UDA problem, which optimizes parameters by minimizing cross-entropy loss and distributional discrepancy between source and target domains. Experimental results demonstrate that SFERNN outperforms existing single-source heterogeneous UDA methods on multiple real-world datasets.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Xinchang Zhang et al.
Summary: The paper presents a concurrent video multicast orchestration solution for caching-assisted and centrally controlled mobile networks, aiming to achieve rapid video prefetch and traffic reduction. It introduces the NP-hard maximum-rate concurrent multicast (MRCM) problem and proposes dynamic algorithms to solve it approximately in polynomial time. A cache competition mechanism is also introduced to optimize cache hit rate in case of limited cache space.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Guanghua Liu
Summary: The research introduces the concept of MI-WPUSN, integrating MI communication techniques and wireless power transfer mechanisms to provide high network reliability potential with challenging data collection. A systematic research roadmap is outlined for data collection, spanning from sensor deployment to frequency-selective routing establishment.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Information Systems
Xiaoxue Wu et al.
Summary: The study introduces hbrPredictor, a method that combines interactive machine learning and active learning for HBR prediction. It significantly reduces the number of bug reports needed for training the prediction model while enhancing the diversity and generalization ability of training samples through uncertainty sampling. Experimental results show that hbrPredictor outperforms baselines in security bug report prediction, achieving maximum values of F1-score (0.7939) and AUC (0.8789), and can reach optimal performance with a significantly reduced number of bug reports for both small-sized and large-sized datasets.
INFORMATION AND SOFTWARE TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Weidong Yang et al.
Summary: The vehicle fuel consumption gauge records both instantaneous and average fuel consumption data, which may contain sensitive user information. A negative survey-based approach is proposed to protect user privacy against differential attacks, achieving better privacy protection in a simpler and more effective way.
INFORMATION SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Ahmed Fathy et al.
Summary: This paper proposes a new methodology based on the recent metaheuristic chimp optimizer approach to determine the optimal allocations and rated powers of distributed generators (DGs) for minimizing total active power loss in radial distribution networks. Experimental results on three radial networks confirm the effectiveness and reliability of this method in reducing power losses.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
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Yang Liu et al.
Summary: Mineral image segmentation is crucial for intelligent ore sorting equipment, but current methods struggle with adhesion and overlap issues. A new deep learning-based approach shows improved segmentation performance, effectively solving these problems.
ADVANCED POWDER TECHNOLOGY
(2021)
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Computer Science, Interdisciplinary Applications
Yishun Li et al.
Summary: The paper proposes a transfer learning pipeline to apply a trained pavement distress detection model to untrained scenarios, improving accuracy and efficiency through data and model transfer.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
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Bin Cao et al.
Summary: The development of the Internet of Vehicles has brought about intelligent network transportation systems. This paper studied the placement problem of Edge Servers (ESs) in the IoV and constructed a six-objective ES deployment optimization model. By optimizing the deployment problem of ESs using a many-objective evolutionary algorithm, the effectiveness of the algorithm and model was verified through comparisons with state-of-the-art methods.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Civil
Zhihan Lv et al.
Summary: The study explores the channel measurement, characteristics, and research of the 6G-oriented full-spectrum full-scene wireless network, emphasizing the need for multiple channels, frequency bands, and scenarios, with connected vehicles being a common scenario in daily life.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Review
Automation & Control Systems
Xifeng Wu et al.
Summary: This study clarifies key scientific issues in the research achievements of eco-friendly cutting fluid and waste fluid treatment, providing scientific technical guidance for actual production. It summarizes the preparation and mechanism of organic additives, analyzes the influence of vegetable base oils on lubricating properties, and evaluates the process characteristics of cutting fluid reduction supply methods. Additionally, it outlines the treatment of oil mist and miscellaneous oil, the removal mechanism of microorganisms, and the design principles of integrated recycling equipment.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
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Gaurav Dhiman
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KNOWLEDGE-BASED SYSTEMS
(2021)
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Mohamed E. Zayed et al.
Summary: This study developed a novel hybrid prediction model using an improved version of the RVFL network and the CHOA algorithm for optimizing the prediction of instantaneous output power and monthly power production of SDSPP. Comparative statistical results indicated the superiority and effectiveness of the proposed RVFL-CHOA method in performance prediction.
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Shangce Gao et al.
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
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Brahim Benaissa et al.
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JOURNAL OF COMPUTATIONAL SCIENCE
(2021)
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IEEE COMMUNICATIONS MAGAZINE
(2021)
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