Understanding the Complex Structure of a Plant-Floral Visitor Network from Different Perspectives in Coastal Veracruz, Mexico by Haydée Hernández-Yáñez, Nubia Lara-Rodriguez, Cecília Díaz-Castelazo, Wesley Dáttilo, Victor Rico-Gray

“…We suggest that maybe seasonality/food resource could be the factors to analyze as the next step in floral visits which may be the answer to modularity in this seasonal ecosystem. …”
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A Biologically Inspired Program-Level Imitation Approach for Robots by Pourya Aliasghari, Moojan Ghafurian, Chrystopher L. Nehaniv, Kerstin Dautenhahn

“…Robots may learn new skills from humans to better assist us with everyday tasks. …”
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In Silico identification and modelling of FDA-approved drugs targeting T-type calcium channels. by Pedro Fong, Susana Roman Garcia, Melanie I Stefan, David C Sterratt

“…We used the automated docking suite GOLD v5.5 with the genetic algorithm to simulate molecular docking and predict the protein-ligand binding modes, and the ChemPLP empirical scoring function to estimate the binding affinities of 2,115 FDA-approved drugs to the human Cav3.1 channel. …”
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Domain-weighted transfer learning and discriminative embeddings for low-resource speaker verification by Han Wang, Mingrui He, Mingjun Zhang, Changzhi Luo, Longting Xu

“…However, the inclusion of additional datasets may cause domain mismatch. Additionally, mismatched data volume and model complexity during fine-tuning can degrade speaker verification performance. …”
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Intelligent Course Plan Recommendation for Higher Education: A Framework of Decision Tree by Xiaoliang Chen, Jianzhong Zheng, Yajun Du, Mingwei Tang

“…On top of that, A recommendation algorithm is proposed to automatically generate the computer course group that satisfies the staff requirements of IT enterprises. …”
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Rapid State of Health Estimation Strategy for Retired Batteries Based on Resting Voltage Curves by Haihong Huang, Xin Liu, Wenjing Chang, Yuhang Wang

“…Additionally, during the data collection of datasets, some batteries may form outliers due to measurement errors. This paper analyzes the impact of outlier quantity on the accuracy of regression models for SOH estimation and proposes using the DBSCAN clustering algorithm to identify and mitigate the influence of outliers, eventually enhancing the precision of SOH estimation.…”
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Evaluation of inflammatory bowel disease-related sleep disorders based on an interpretable machine learning approach: a multicenter study in China by Jiayi Sun, Junhai Zhen, Chuan Liu, Changqing Jiang, Jie Shi, Kaichun Wu, Weiguo Dong

“…Finally, the Local Interpretable Model–Agnostic Explanations algorithm (Lime) was utilized to interpret the results of the best ML model. …”
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Optimization of Classification Track Assignment Considering Block Sequence at Train Marshaling Yard by Yingqun Zhang, Rui Song, Shiwei He, Haodong Li, Xiaole Guo

“…We also discussed a number of factors that may affect the track assignment and gave suggestions for the real-world case.…”
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Computational Complexity of Isometric Tensor-Network States by Daniel Malz, Rahul Trivedi

“…Our results can be used to design provable algorithms to contract isoTNSs. Our mapping between ground states of certain frustration-free Hamiltonians to open circuit dynamics in one dimension fewer may be of independent interest.…”
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A novel oversampling method based on Wasserstein CGAN for imbalanced classification by Hongfang Zhou, Heng Pan, Kangyun Zheng, Zongling Wu, Qingyu Xiang

“…However, oversampling methods based on GANs may suffer from gradient vanishing, resulting in mode collapse, and produce noise and boundary-blurring issues when generating new samples. …”
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Intermittent Short Circuit Fault Location for CAN Based on Two-Port Network Modeling by Longkai Wang, Yi Yang, Yong Lei

“…However, intermittent connection (IC) problems of network cables may worsen system performance and even threaten operational safety. …”
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A Multiobjective Bilevel Programming Model for Environmentally Friendly Traffic Signal Timings by Ozgur Baskan

“…At the upper level, Pareto-optimal solutions of the proposed multiobjective model are found based on differential evolution algorithm framework by using the weighted sum method. …”
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Optimizing Q-Learning for Automated Cavity Filter Tuning: Leveraging PCA and Neural Networks by Aghanim Amina, Otman Oulhaj, Oukaira Aziz, Lasri Rafik

“…This paper presents a reinforcement learning-based approach to automate the tuning of a 6thorder combline bandpass filter, operating at 941 MHz, using a Q-learning algorithm. To reduce complexity, only two tuning screws are considered in the optimization. …”
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Road-Adaptive Precise Path Tracking Based on Reinforcement Learning Method by Bingheng Han, Jinhong Sun

“…The framework first analyzes the obstacles around the vehicle and plans an obstacle-free reference path with the minimum curvature using the hybrid A* algorithm. Next, based on the generated reference path, the current state of the vehicle, and the vehicle motor energy efficiency diagram, the optimal speed is calculated in real time, and the vehicle dynamics preview point at the future moment—specifically, the look-ahead distance—is predicted. …”
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Snoring Sound Recognition Using Multi-Channel Spectrograms by Ziqiang YE, Jianxin PENG, Xiaowen ZHANG, Lijuan SONG

“…However, this approach may limit the potential of convolutional networks to learn diverse representations of snore signals. …”
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WT-HMFF: Wavelet Transform Convolution and Hierarchical Multi-Scale Feature Fusion Network for Detecting Infrared Small Targets by Siyu Li, Jingsi Huang, Qingwu Duan, Zheng Li

“…Yet, a persistent challenge remains: the lack of high-level semantic information may cause the disappearance of small target features in the network’s deep layers, ultimately impairing detection accuracy. …”
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The use of echocontrasty as a diagnostic method for pathologies of the ductal system of the salivary glands by A. I. Yaremenko, A. Ya. Razumova, M. A. Laipanova, S. I. Kutukova, N. L. Petrov, A. A. Zubareva

“…Ultrasound examination may be the primary stage in the algorithm for diagnosing salivary glands.The objective was to implement the latest diagnostic method for the pathology of the ductal system of the parotid salivary glands using ultrasound examination (ultrasound) with intraductal echocontrast agent based on a clinical case.Methods and materials. …”
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An Efficient Anomalous Sound Detection System for Microcontrollers by Yi-Cheng Lo, Tsung-Lin Tsai, Chieh-Wen Yang, An-Yeu Wu

“…Therefore, we propose a memory-aware pruning algorithm specialized for ASD to fit into MCUs’ constraints. …”
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Abstraction-based segmental simulation of reaction networks using adaptive memoization by Martin Helfrich, Roman Andriushchenko, Milan Češka, Jan Křetínský, Štefan Martiček, David Šafránek

“…Our algorithm adapts online to identify the most important abstract states and thus utilizes the available memory efficiently. …”
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Design and fabrication of asymmetric Mach-Zehnder interferometers based on EpoClad and EpoCore strip waveguides by Magalhães Tiago E.C., Borme Jérôme, Douglas Temple, Maibohm Christian, Nieder Jana B.

“…Although they are not yet competitive with inorganic materials in terms of sensitivity, they have good biocompatibility in general, and suitable designs may provide sufficient sensitivity for biosensing. …”
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