Research on Autonomous Positioning Method for Inspection Robot Based on Distributed 2D LiDARs by Feng Yun Huang, Jun Qiang Liu, De Hao Fang

“…To address the positioning problem during autonomous operation process under the automated vehicle inspection scenario for annual vehicle inspections. …”
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SORFPP: Enhancing rich sequence-driven information to identify SEPs based on fused framework on validation datasets. by Hongqi Feng, Qi Nie, Sen Yang

“…However, there is a lack of contributive features and effective models. Therefore, a high-throughput computational method to predict SEPs is needed.…”
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Application of Optimal Control Theory to Newcastle Disease Dynamics in Village Chicken by Considering Wild Birds as Reservoir of Disease Virus by Furaha Chuma, Gasper Godson Mwanga, Verdiana Grace Masanja

“…The numerical simulations of the optimal control problem were performed using the forward–backward sweep method. …”
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FDIA Attack Detection Technique for Smart Grids Based on Graph Reconstruction and Spatio-Temporal Joint Modeling by Gao Yuzhang, Xia Jing

“…A GRU module is formulated to model time series features, with improved perception ability of dynamic attack features. …”
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Preoperative kidney tumor risk estimation with AI: From logistic regression to transformer. by Vesna Barros, Nour Abdallah, Michal Ozery-Flato, Avihu Dekel, Moshiko Raboh, Nicholas Heller, Simona Rabinovici-Cohen, Alex Golts, Amilcare Gentili, Daniel Lang, Suman Chaudhary, Varsha Satish, Resha Tejpaul, Ivan Eggel, Itai Guez, Ella Barkan, Henning Müller, Efrat Hexter, Michal Rosen-Zvi, Christopher Weight

“…We consider the problem of renal mass risk classification to support doctors in adjuvant treatment decisions following nephrectomy. …”
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Application of EEG Signal Recognition Method Based on Duffing Equation in Psychological Stress Analysis by Min Chai, Lei Ba

“…Experimental results show that the EEG signal recognition algorithm based on the Duffing equation effectively extracts EEG signal features and improves the classification accuracy of mental stress EEG signals.…”
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SGRiT: Non-Negative Matrix Factorization via Subspace Graph Regularization and Riemannian-Based Trust Region Algorithm by Mohsen Nokhodchian, Mohammad Hossein Moattar, Mehrdad Jalali

“…This paper introduces an innovative approach called SGRiT, which employs Stiefel manifold optimization to enhance the extraction of latent features. These learned features have been shown to be highly informative for clustering tasks. …”
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Cytological methods of analysis of haploid plants-regenerants of cabbage (<i>Brassica oleracea</i> L.) obtained <i>in vitro</i> by Rima N. Kirakosyan, Elena A. Kalashnikovа

“…Therefore, the use of new cytological methods of analysis of haploid plants remains an urgent problem. Material and method The aim of this work is to establish the genetic nature of regenerated plants of Brassica oleracea L., obtained from reproductive organs in vitro. …”
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Evaluation on formation rate of Pleurotus eryngii primordium under different humidity conditions by computer vision by ZHOU Jun, DING Wenjie, ZHU Xuejun, CAO Junyi, NIU Xueming

“…In this paper, computer vision based on statistics was applied to develop a formation rate model for primordium. To solve the problem of statistics on primordium, image preprocessing and gray recognition template extraction were firstly studied. …”
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A Very Young Adult Female Patient with Hepatitis B Flare: A Case Report by Andreas Agung Kurniawan, Ummi Maimunah

“…Hepatitis B virus (HBV) infection is a major global health problem. It can cause chronic infection and put people at high risk of death from cirrhosis and liver cancer. …”
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Non-psychotic psychiatric disorders in persons who have experienced psychosocial stress in terms of military conflict. by L. M. Yuryeva, T. Y. Shusterman, E. O. Likholetov

“…Only a small number of interventions were aimed solely at part­ners. The most common feature of the interventions was psycho-educational work with an emphasis on topics such as communication, problem solving, and regulation of emotions. …”
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A Systematic Literature Review of Financial Product Recommendation Systems by Di Wu, Xuhui Li

“…The financial product recommendation problem is characterized by significant features such as multi-objectivity, wide feature space, time sensitivity, and the existence of parallel interactive behaviors. …”
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Two-stage Detection Method for Abnormal Cluster Cervical Cells by LIANG Yi-qin, ZHAO Si-qi, WANG Hai-tao, HE Yong-jun

“…Cells adhere to each other, complex and diverse, which brings challenges to abnormal cell detection. To solve this problem, we proposed a two-stage detection method for cluster cervical abnormal cells. …”
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Multi-scale fusion semantic enhancement network for medical image segmentation by Zilong Zhang, Chao Xu, Zhengping Li, Yixuan Chen, Chao Nie

“…Although Transformer-based models are effective at capturing global context, they are often ineffective at dealing with local feature dependencies. In order to improve this problem, we design a Multi-scale Fusion and Semantic Enhancement Network (MFSE-Net) for endoscopic image segmentation, which aims to capture global information and enhance detailed information. …”
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Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

“…The unique feature of this method is that it introduces a penalty term in the minimization to address the computational problem of a set of parameters; The parameters are calculated as follows: min(α.β)Σk=1KΣt=1TΣi=1N wkρτkyit-αi-xitTβτk+λΣiNαi                              (6) In equation (6), i represents the number of countries (N), T represents the index for the number of observations of each country, K represents the quantile index, x is the matrix of explanatory variables, and ρτk is the quantile loss function. …”
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Deep Neural Framework With Visual Attention and Global Context for Predicting Image Aesthetics by Yifei Xu, Nuo Zhang, Pingping Wei, Genan Sang, Li Li, Feng Yuan

“…In this paper, we propose a deep neural framework with visual attention module, self-generated global features and hybrid loss to address this problem. Specifically, the framework can be any state-of-the-art convolution classification network compatible with visual attention. …”
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An efficient cost calculation method for disparity estimation of stereo matching considering shadow occlusion by Hongjun Sha, Wei Yuan, Xunping Wang, Xiuliu Yuan, Shunichi Koshimura

“…This research work proposes a novel cost calculation method that considers shadow occlusion areas to address the issues of poor disparity estimation in urban areas, termed Matching Cost based on Shadow Properties (MCSP), error estimation of the shadow occlusion area, which not only considers the problem of disparity error estimation in the shadow occlusion areas but also considers the problem of edge integrity and smoothness in the disparity estimation results. …”
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Tractor Path Tracking Control Method Based on Prescribed Performance and Sliding Mode Control by Liwei Zhu, Weiming Sun, Qian Zhang, En Lu, Jialin Xue, Guohui Sha

“…By defining a prescribed performance function, the constrained tracking control problem is transformed into an unconstrained stability control problem, guaranteeing the boundedness of tracking errors. …”
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Version v1.3.6 - PeriLab - Peridynamic Laboratory by Christian Willberg, Jan-Timo Hesse, Anna Pernatii

“…This paper introduces new features for PeriLab, a modern Peridynamics (PD) solver developed in the Julia programming language. …”
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AI Painting Effect Evaluation of Artistic Improvement with Cross-Entropy and Attention by Yihuan Tian, Shiwen Lai, Zuling Cheng, Tao Yu

“…Meanwhile, MCASVM directly handles the multi-classification problem in the established dataset by introducing multiple SVMs. …”
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