On-line evaluation method of CVT internal insulation state considering the influence of primary voltage fluctuation by XING Yu, XU Yunwu, ZHAI Xiaohui, SUN Kai, CHEN Qing, BAO Zhiwei

“…This method uses the intrinsic correlation between CVT populations and principal component analysis method to extract features from the output signals of the population to exclude the primary voltage fluctuation, and the characteristic information that characterizes the insulation anomaly in the CVT is obtained. …”
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SLAM Algorithm for Mobile Robots Based on Improved LVI-SAM in Complex Environments by Wenfeng Wang, Haiyuan Li, Haiming Yu, Qiuju Xie, Jie Dong, Xiaofei Sun, Honggui Liu, Congcong Sun, Bin Li, Fang Zheng

“…First of all, the state-of-the-art feature detection algorithm SuperPoint is used to extract the feature points from a visual-inertial system, enhancing the detection ability of feature points in complex scenarios. …”
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A Multi-Objective Bio-Inspired Optimization for Voice Disorders Detection: A Comparative Study by Maria Habib, Victor Vicente-Palacios, Pablo García-Sánchez

“…Different multi-objective evolutionary algorithms (the Non-dominated Sorting Genetic Algorithm (NSGA-II), Strength Pareto Evolutionary Algorithm (SPEA-II), and the Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D)) have been compared to detect voice disorders by optimizing two conflicting objectives: error rate and the number of features. The optimization problem has been formulated as a wrapper-based algorithm for feature selection and multi-objective optimization relying on four machine learning algorithms: K-Nearest Neighbour algorithm (KNN), Random Forest (RF), Multilayer Perceptron (MLP), and Support Vector Machine (SVM). …”
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Research on Intrusion Detection Method Based on Transformer and CNN-BiLSTM in Internet of Things by Chunhui Zhang, Jian Li, Naile Wang, Dejun Zhang

“…To address the issue of data class imbalance, the Borderline-SMOTE method is introduced to enhance the model’s ability to recognize minority class attack samples. To tackle the problem of redundant features in the original dataset, a comprehensive feature selection strategy combining XGBoost, Chi-square (Chi2), and Mutual Information is adopted to ensure the model focuses on the most discriminative features. …”
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Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…Traditional approaches primarily address this problem from a performance-oriented perspective, focusing on metrics like prediction or estimation accuracy. …”
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Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy by Hua Chen, Kehui Mei, Yuan Zhou, Nan Wang, Guangxing Cai

“…Then, the features of the dataset are initially screened using the mutual information method, and further secondary feature selection is performed using the recursive feature elimination method based on the XGBoost algorithm. …”
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BG-YOLO: A Bidirectional-Guided Method for Underwater Object Detection by Ruicheng Cao, Ruiteng Zhang, Xinyue Yan, Jian Zhang

“…The object detection branch only consists of a detection subnet. A feature-guided module connects the shallow convolution layers of the two branches. …”
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ALPD-Net: a wild licorice detection network based on UAV imagery by Jing Yang, Huaibin Qin, Jianguo Dai, Guoshun Zhang, Miaomiao Xu, Yuan Qin, Jinglong Liu

“…Traditional licorice resource survey methods are unsuitable for complex terrain and do not meet the requirements of large-scale monitoring.MethodsIn order to solve this problem, this study constructs a new dataset of wild licorice that was gathered using Unmanned Aerial Vehicle (UAV) and proposes a novel detection network named ALPD-Net for identifying wild licorice. …”
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Explainable AI for Enhancing Efficiency of DL-Based Channel Estimation by Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour, Laurent Clavier

“…In particular, we derive the analytical expressions of the XAI-CHEST loss functions and the noise threshold fine-tuning optimization problem. Hence the designed XAI-CHEST delivers a smart low-complex one-shot input feature selection methodology for high-dimensional model input that can further improve the overall performance while optimizing the architecture of the employed model. …”
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MSTNet: a multi-stage progressive network with local–global transformer fusion for image restoration by Ruyu Liu, Lin Wang, Jie He, Jiajia Wang, Jianhua Zhang, Xiufeng Liu, Chaochao Wang, Haoyu Zhang, Sheng Dai

“…Abstract Image restoration is a challenging and complex problem involving recovering the original clear image from a degraded or noisy image. …”
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MGASM-Net: morphology-guided multi-task learning network with anatomic spatial mamba for 3D airway segmentation by Yi Xu, Huamin Yang, Zhengang Jiang, Weili Shi, Yu Miao, Guanyuan Feng, Yuqin Li

“…Inspired by deep supervision, a morphological feature guidance module introduces additional structural knowledge to direct attention of model to the airway regions, which helps alleviate the low intensity contrast problem. …”
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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…The dataset exhibited a problem of class imbalance, with the majority class (non-mastitis cases) being over-represented. …”
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A Fine-Grained Aircraft Target Recognition Algorithm for Remote Sensing Images Based on YOLOV8 by Xiao-Nan Jiang, Xiang-Qian Niu, Fan-Lu Wu, Yao Fu, He Bao, Yan-Chao Fan, Yu Zhang, Jun-Yan Pei

“…Initially, this article designs a local detail feature module to tackle the problem of information loss in shallow networks. …”
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Neutrino masses in the mirror twin Higgs with spontaneous ℤ 2 breaking by Pedro Bittar, Davi B. Costa, Gustavo Burdman

“…Abstract We introduce a mirror twin Higgs model with spontaneous ℤ 2 symmetry breaking that ameliorates the constraints in twin Higgs cosmology and, at the same time, generates the Standard Model neutrino masses. The model features an SU(2) triplet with hypercharge 1 alongside its twin counterpart. …”
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Models for analysis of water suitability by L. Makarchuk, T. Likhouzova

“… The problem of unsuitability of available drinking water for safe consumption is considered. …”
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Decoding the Enigmatic Synoptic Problem: An In-Depth Academic Analysis of Pentecostal Hermeneutics Applied to the Genealogy of Jesus Christ in Matthew 1:1-17 and Luke 3:23-38 by Kwasi Atta Agyapong

“…This article presents a Pentecostal Hermeneutics approach to resolving the synoptic problem through the genealogy of Jesus Christ in Matthew 1:1-17 and Luke 3:23-38. …”
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Exact and greedy algorithms of allocating experts to maximum set of programmer teams by A. A. Prihozhy

“…The maximum clique search algorithm we propose accounts for the problem and graph features. Experimental results show that the exact algorithm is a reference one, and the double-greedy algorithm is very fast and can yield suboptimal solutions for large-size allocation problems.…”
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Unsupervised Action Anticipation Through Action Cluster Prediction by Jiuxu Chen, Nupur Thakur, Sachin Chhabra, Baoxin Li

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Interval-Aware Scheduling of Surveillance Drones: Exact and Heuristic Approaches by Kaito Mori, Hiroki Nishikawa, Hiroyuki Tomiyama

“…Drones, with their high mobility and advanced features such as high-resolution cameras, offer a promising alternative to human patrols. …”
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Method for Choosing a Balanced Set of Fault Tolerance Techniques for Distributed Computer Cystems by D. Yu. Volkanov

“…In this problem we maximize reliability of DCS under constraints of system cost. …”
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