Model-Based RL Decision-Making for UAVs Operating in GNSS-Denied, Degraded Visibility Conditions with Limited Sensor Capabilities by Sebastien Boiteau, Fernando Vanegas, Julian Galvez-Serna, Felipe Gonzalez

“…The framework was first assessed in simulation, compared with a baseline algorithm, and then through real-life testing across several scenarios. …”
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Advanced Dynamic Vibration Control Algorithms of Materials Terfenol-D Si₃N₄ and SUS304 Plates/Cylindrical Shells with Velocity Feedback Control Law by Chih-Chiang Hong

“…The vibrations of displacement and stress can be controlled by the control gain algorithms in velocity feedback control law.…”
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…As the conventional approaches are partially successful in dealing with the complex nature of high-dimensional and imbalanced biomedical data for lung cancer classification. …”
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Dynamic Task Allocation for Heterogeneous Multi-Autonomous Underwater Vehicle Collaboration Under Mine Countermeasures Missions by Juan Li, Baohua Liu, Caiyun Liu, Cong Lin

“…To address this, a soft time windows consensus-based bundle algorithm with partial reallocation (SWCBBA-PR) is designed. …”
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Preventing Spurious Interactions: A New Inductive Bias for Accurate Treatment Effect Estimation by Roger Pros, Jordi Vitria

“…Many of the most effective methods incorporate specific algorithmic inductive biases that encode causal information, thereby enhancing the precision of treatment effect estimates. …”
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The Application of Near-Infrared Spectroscopy Combined with Chemometrics in the Determination of the Nutrient Composition in Chinese <i>Cyperus esculentus</i> L. by Xiaobo Jiao, Dongliang Guo, Xinjun Zhang, Yunpeng Su, Rong Ma, Lewen Chen, Kun Tian, Jingyu Su, Tangnuer Sahati, Xiahenazi Aierkenjiang, Jingjing Xia, Liqiong Xie

“…In addition, to further enhance the prediction performance of the models, various preprocessing and variable selection algorithms were utilized to optimize the prediction models. …”
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Performance Analysis and Dimensional Optimization of a 2R1T Parallel Mechanism with Remote Center of Motion by Huang Xin, Che Linxian, Li Jie, Du Li

“…Aiming at maximizing the average transmission index, a constrained optimization model of mechanism dimensional parameters is established, and the accelerating grey wolf optimization (AGWO) algorithm is employed to solve the problem. The test of numerical examples shows that the comprehensive performance of AGWO algorithm in solving constrained optimization problems is better than that of the compared algorithm. …”
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Structure and dynamics analysis of brain functional hypernetworks based on the null models by Chen Cheng, Yao Li, Chunyan Wang, Yanli Yang, Hao Guo

“…Specifically, first, based on the original brain functional hypernetwork, this article proposed the optimized hyper dK-series algorithm with hyperedges to construct null models that preserved the different node attributes and hyperedge attributes of the original brain functional hypernetwork, respectively. …”
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Decision-Level Multi-Sensor Fusion to Improve Limitations of Single-Camera-Based CNN Classification in Precision Farming: Application in Weed Detection by Md. Nazmuzzaman Khan, Adibuzzaman Rahi, Mohammad Al Hasan, Sohel Anwar

“…To improve the accuracy of the weed classification system and to overcome the shortcomings of single-sensor-based classification from CNN, an improved Dempster–Shafer (DS)-based decision-level multi-sensor fusion algorithm was developed and implemented. The proposed algorithm offers improvement on the CNN-based weed classification when the weed is partially occluded. …”
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Trajectory Aware Deep Reinforcement Learning Navigation Using Multichannel Cost Maps by Tareq A. Fahmy, Omar M. Shehata, Shady A. Maged

“…Deep reinforcement learning (DRL)-based navigation in an environment with dynamic obstacles is a challenging task due to the partially observable nature of the problem. While DRL algorithms are built around the Markov property (assumption that all the necessary information for making a decision is contained in a single observation of the current state) for structuring the learning process; the partially observable Markov property in the DRL navigation problem is significantly amplified when dealing with dynamic obstacles. …”
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Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights by V. S. Shaisundaram, P. V. Elumalai, S. Padmanabhan, U. Nalini Ramachandran, Abhishek Kumar Tripathi, Cui Yaping, B. Nagaraj Goud, S. Prabhakar

“…Biodiesel blends of 10%, 20%, and 30% Momordica seed biodiesel were enhanced with cerium oxide nano additives at 45 ppm and evaluated using a partially stabilized zirconia-coated piston and cylinder liner. …”
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A skipping spectrum sensing scheme based on deep reinforcement learning for transform domain communication systems by Ce Li, Yanhua Wu, Rangang Zhu, Ruochen Wu, Zhengkun Zhang, Zunhui Wang

“…We innovatively model this as a Partially Observable Markov Decision Process (POMDP). …”
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A surrogate approach to model groundwater level in time and space based on tree regressors by Pedro Martínez-Santos, Víctor Gómez-Escalonilla, Silvia Díaz-Alcaide, Manuel Rodríguez del Rosario, Héctor Aguilera

“…Certain dynamic variables also include a subset of lag periods to depict seasonality. Algorithms are tested on a set of climatic scenarios in order to observe their ability to predict stable, declining and recovering groundwater trends. …”
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A Hybrid Method to Solve the Multi-UAV Dynamic Task Assignment Problem by Shahad Alqefari, Mohamed El Bachir Menai

“…This paper introduces a novel hybrid algorithm designed to optimize multi-UAV task assignments in dynamic environments. …”
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Experimental and Explicit FE Studies on Flexural Behavior of Superposed Slabs by Qi Ye, Ping Zhang, Ke Ye, Wei Wang, Zeshen Li, Yueqing Gao, Tianyu Xie, Chaofeng Liang

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Estimating and mapping tailings properties of the largest iron cluster in China for resource potential and reuse: A new perspective from interpretable CNN model and proposed spectr... by Haimei Lei, Nisha Bao, Moli Yu, Yue Cao

“…Simultaneously, it minimizes the impact of moisture content and particle size variations in surface tailings. In addition, the partial least squares regression (PLSR), random forest (RF) and convolutional neural network (CNN) algorithms based on laboratory spectra were used to calibrate spectral information with associated tailing properties. …”
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Artificial Intelligence in Retail: Benefits and Risks Associated With Mobile Shopping Applications by Victoria Stanciu, Sînziana-Maria Rîndașu

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Application of machine learning assisted multi-variate UV spectrophotometric models augmented by kennard stone clustering algorithm for quantifying recently approved nasal spray co... by Ahmed Emad F. Abbas, Mohammed Gamal, Ibrahim A. Naguib, Michael K. Halim, Basmat Amal M. Said, Mohammed M. Ghoneim, Mohmeed M. A. Mansour, Yomna A. Salem

“…The robustness of this approach was rigorously tested using five distinct chemometric models: principal component regression, classical least squares, partial least squares, genetic algorithm-partial least squares, and multivariate curve resolution-alternating least squares, demonstrating its broad applicability across diverse modeling techniques. …”
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Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data by Elham Ilbeygi, Farzad Azadshahraki, Juan Ignacio Arribas, Yousef Abbaspour-gilandeh, Sajad Sabzi, Rouhollah Karimzadeh

“…Two artificial intelligence methods based on hybrid Multilayer Perceptron Neural Network - Artificial Bee Colony Algorithm (ANN-ABC) and Partial least squares regression (PLSR) were used in order to obtain a non-destructive estimation of chlorophyll a content. …”
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Metabolomics and nutrient intake reveal metabolite–nutrient interactions in metabolic syndrome: insights from the Korean Genome and Epidemiology Study by Minyeong Kim, Suyeon Lee, Junguk Hur, Dayeon Shin

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