RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions by Yiqi Sun, Jie Zhang, Qianyun Wang, Jianguang Ni

“…Specifically, we introduced two algorithms: a Background Subtraction Method (BSM) for real-time position tracking and a Frame Difference (FD) algorithm for freezing behavior detection. …”
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Optimizing urban energy flows: Integrative vehicle-to-building strategies and renewable energy management by Jian Hern Yeoh, Kai-Yun Lo, I-Yun Lisa Hsieh

“…This approach enhances grid stability and resilience while optimizing energy consumption, reducing peak loads, and minimizing emissions. …”
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Defining Rural Types Nearby Large Cities from the Perspective of Urban–Rural Integration: A Case Study of Xi’an Metropolitan Area, China by Xiji Jiang, Jiaxin Sun, Tianzi Zhang, Qian Li, Yan Ma, Wen Qu, Dan Ye, Zhendong Lei

“…This study constructs an evaluation system for rural areas under URI, using the Xi’an metropolitan area as a case study. A clustering algorithm enhanced by the random forest (RF)–principal component analysis (PCA)–partitioning around medoids (PAM) method is applied to evaluate rural integration comprehensively. …”
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Secondary hypokalemic myoplegias by T. G. Sakovets, E. I. Bogdanov

“…SHM in Conn's syndrome and thyrotoxicosis was characterized by long-term (11.8±3.6-day) neuromuscular disorders, while in SHM of another etiology, there were shorter (5.8±4-day) muscle weakness episodes (p<0.05). …”
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Machine learning for Internet of Things (IoT) device identification: a comparative study by Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang

“…Numerous studies have proposed various solutions that incorporate ML and feature selection (FS) algorithms with different degrees of accuracy. Yet, the domain needs a comparative analysis of the accuracy of different classifiers and FS algorithms to comprehend their true capabilities in various datasets. …”
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Identification and land-Environment analysis of centralized photovoltaic stations in the arid northwest region of China by Yiyang Chen, Li Zhang, Min Yan, Yin Wu, Yuqi Dong, Wei Shao, Qinglan Zhang

“…A hierarchical extraction method combining RegNet and SAM models achieved 91.89% accuracy in PV station identification, while also showing a broader extraction coverage compared to existing datasets. …”
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Integrating Soil, Leaf, Fruitlet, and Fruit Nutrients, Along with Fruit Quality, to Predict Post-Storage Quality of Staccato Sweet Cherries by Mehdi Sharifi, William Wolk, Keyvan Asefpour Vakilian, Hao Xu, Stephanie Slamka, Karen Fong

“…Leaf Ca was vital for firmness and total soluble solids (TSS) prediction, while N in leaves and fruitlets influenced firmness, acidity, and disorders. …”
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Estimating Complex Signals With a Fuzzy-Enhanced Kalman Filter: A Note on “the Output Regulation and the Kalman Filter as the Signal Generator” by Jesus Alberto Meda-Campana, Juan Carlos Garcia-Hernandez, Rodolfo Daniel Velazquez-Sanchez, Luis Alberto Paramo-Carranza, Tonatiuh Hernandez-Cortes, Ricardo Tapia-Herrera

“…Furthermore, the result shows that incorporating simple fuzzy logic concepts may substantially enhance the performance of some established algorithms.…”
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Permanent Laser Scanning and 3D Time Series Analysis for Geomorphic Monitoring using Low-Cost Sensors and Open-Source Software by L. de Vugt, E. Carraro, A. Fatihi, E. Mattea, E. Myall, D. Czerwonka-Schröder, K. Anders

“…We acquired 14 epochs of point clouds from both systems simultaneously while inducing changes to the scene in-between acquisitions. …”
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Tactical Coordination-Based Decision Making for Unmanned Combat Aerial Vehicles Maneuvering in Within-Visual-Range Air Combat by Yidong Liu, Dali Ding, Mulai Tan, Yuequn Luo, Ning Li, Huan Zhou

“…The former combines missile attack zone calculation and trajectory prediction to optimize the control quantity of a single aircraft, while the latter uses fuzzy logic to analyze the overall situation of the three aircraft to drive tactical selection. …”
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Model Reduction and Chattering Mitigation in Multi-Model Predictive Control for Quadrotor UAVs by Ghulam E. Mustafa Abro, Sufyan Ali Memon, Saddaf Rubab, Kaznah Alshammari, Faheem Khan

“…To improve performance, we implement an adaptive gain scheduling algorithm to mitigate the chattering effect frequently seen in multi-model approaches. …”
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Encoding arbitrary phase profiles to 2D diffraction orders with controllable polarization states by Zhao Ruizhe, Li Xin, Geng Guangzhou, Li Xiaowei, Li Junjie, Wang Yongtian, Huang Lingling

“…Sixteen independent holograms that generated by GS algorithm are successfully encoded into 4 × 4 uniformly distributed diffraction orders. …”
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Development of a Mobile Laser Measurement System for Subway Tunnel Deformation Detection by Wei Li, Haoran Duan, Qiuzhao Zhang, Jiahui Liang, Wei Duan, Kaikun Zhang, Wenda Wang, Huachao Yang

“…Disturbed points are systematically identified and eliminated, while the convergence of tunnel sections and inter-ring misalignment are evaluated through ellipse fitting. …”
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Detection of posttraumatic pneumothorax using electrical impedance tomography-An observer-blinded study in pigs with blunt chest trauma. by Felix Girrbach, Tobias Landeck, Dominic Schneider, Stefan U Reske, Gunther Hempel, Sören Hammermüller, Udo Gottschaldt, Peter Salz, Katharina Noreikat, Sebastian N Stehr, Hermann Wrigge, Andreas W Reske

“…For PTXcc3, observer 1 showed a sensitivity of 60% with a specificity of 51% while the sensitivity of observer 2 was 17%, with a specificity of 89%. …”
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SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver by Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Nobuo Sato, Xingfu Wu, J Taylor Childers, Steven Goldenberg

“…The complexity of the underlying inverse problem may require the utilization of high performance computing systems which poses a challenge on the algorithmic design of the inverse problem solver. Most deep learning algorithms require, due to their design, custom parallelization techniques in order to be resource efficient while showing a reasonable convergence. …”
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Analysis of immune status and prognostic model incorporating lactate metabolism and immune-related genes in clear cell renal cell carcinoma by Jun Wu, Yuqian Wu, Yefeng Sun, Jianhang You, Wenjie Zhang, Tao Zhao

“…The CIBERSORT and ESTIMATE algorithms were used to analyze the level of immune infiltration. …”
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The Quest for the Best Explanation: Comparing Models and XAI Methods in Air Quality Modeling Tasks by Thomas Tasioulis, Evangelos Bagkis, Theodosios Kassandros, Kostas Karatzas

“…This study investigates the performance and interpretability of Explainable AI (XAI) applied with the eXtreme Gradient Boosting (XGBoost) algorithm employing the SHapley Additive exPlanations (SHAP) and the Local Interpretable Model-Agnostic Explanations (LIME) for PM_2.5 nowcasting. …”
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Comprehensive Comparison of Machine Learning and Kalman Filter Battery State of Charge Estimators by Romulo Vieira, Phil Kollmeyer, Lea Pitault, Ali Emadi

“…The results show that the NARX model consistently outperformed the other models, with an RMSE of 1.70%, while other models ranged between 2% and 3%. All algorithms demonstrated robustness to sensor errors, with current, voltage, and temperature offsets increasing estimation errors by no more than 0.5%. …”
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A flexible transoral swab sampling robot system with visual-tactile fusion approach by Jiaxiang Dong, Peng Li, Quanquan Liu, Quanquan Liu, Qi Liu, Chunbao Wang, Chunbao Wang, Xuezhi Zhao, Xiping Hu

“…The sampling robot is capable of autonomously performing transoral swab sampling while navigating using the visual-tactile perception algorithm. …”
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Climate change is expected to reduce the potential distribution of Ceiba glaziovii in Caatinga, the largest area of dry tropical forest in South America by Débora de Melo Almeida, Sara Sebastiana Nogueira, Emanuel Araújo Silva, João Matheus Ferreira de Souza, Antonio Leandro Chaves Gurgel, Alex Nascimento de Sousa

“…Among the areas with high habitat suitability, the IPSL-CM6A-1 model in the optimistic projection showed the smallest reduction, while in the pessimistic scenario, all areas with high suitability disappeared. …”
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