Face morphing detection in the presence of printing/scanning and heterogeneous image sources by Matteo Ferrara, Annalisa Franco, Davide Maltoni

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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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Exact makespan minimization of unrelated parallel machines by Åblad, Edvin, Strömberg, Ann-Brith, Spensieri, Domenico

“…We study methods for the exact solution of the unrelated parallel machine problem with makespan minimization, generally denoted as $R||C_\text{max}$. …”
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A Subgradient Extragradient Framework Incorporating a Relaxation and Dual Inertial Technique for Variational Inequalities by Habib ur Rehman, Kanokwan Sitthithakerngkiet, Thidaporn Seangwattana

“…The method integrates a dual inertial extrapolation step, a relaxation step, and the subgradient extragradient technique, resulting in faster convergence than existing inertia-based subgradient extragradient methods. A key feature of the algorithm is its ability to achieve weak convergence without needing a prior guess of the operator’s Lipschitz constant in the problem. …”
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Once a Triple, Not Always a Triple: The Evolution of Hierarchical Triples That Yield Merged Inner Binaries by Cheyanne Shariat, Smadar Naoz, Kareem El-Badry, Antonio C. Rodriguez, Bradley M. S. Hansen, Isabel Angelo, Alexander P. Stephan

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Identifying Analytical Thinking Skills in Forestry Students: Understanding Climate Change Awareness in the 21st Century Context by Muhali Muhali, Hulyadi Hulyadi, Khaeruman Khaeruman, Gargazi Gargazi, Irham Azmi

“…The variables observed were environmental awareness, problem-formulating ability, and problem-identifying ability. …”
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Expert Evaluation of Potential Points of Economic Growth in the Regions of Russia and the Conditions of their Development by A. V. Tihonov, V. S. Bogdanov, A. A. Pochestnev

“…However, there are certain problems that hinder this development and they have been identified. …”
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Abbreviated 12-Hour Postpartum Magnesium Sulphate Therapy is Equally Effective and Safer Than Standard 24-Hour Therapy in Preeclampsia With Severe Features: Results From A Randomi... by Pradip Kumar Saha, Seema Sheokand, L K Dhaliwal, Rashmi Bagga, Lekha Saha

“…Conclusion: In patients having preeclampsia with severe features, 12-hour postpartum MgSO4 therapy is equally effective in preventing eclampsia and has lesser postpartum drowsiness and problems with breast feeding compared to the standard 24-hour therapy. …”
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