Comprehensive Analysis of Phenotypic Traits in Chinese Cabbage Using 3D Point Cloud Technology by Chongchong Yang, Lei Sun, Jun Zhang, Xiaofei Fan, Dongfang Zhang, Tianyi Ren, Minggeng Liu, Zhiming Zhang, Wei Ma

“…By using multi-view image sequences and structure-from-motion algorithms, 3D point clouds of 50 plants from each of the 17 Chinese cabbage varieties were reconstructed. …”
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Bregman–Hausdorff Divergence: Strengthening the Connections Between Computational Geometry and Machine Learning by Tuyen Pham, Hana Dal Poz Kouřimská, Hubert Wagner

“…We also describe computational geometric algorithms that have been extended to this geometry, focusing on algorithms relevant for machine learning.…”
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Intelligent error-proof logic multi-factor cooperative active optimization based on knowledge base and generative adversarial network by Jinming Liu, Sheng Yang, Dunlin Zhu, Tianyun Luo, Jinglong He, Shengyuan Li

“…Combining the logic rules given by the power system and the real-time operation parameters of the substation, the intelligent terminal is used to monitor the remote control information of the anti-misoperation latching device in real-time and the power equipment is controlled by remote control of the anti-misoperation latching device. Attribute reduction of the decision table uses a niche genetic algorithm to extract the intelligent anti-failure logic rule set. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Advanced Scheduling Algorithms: Creating advanced meta-heuristic algorithms using efficient dispatching rule-based heuristics for dynamic scheduling of non-identical parallel batch processing machines with eligibility constraints. 8. …”
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Practical aspects of therapy for glutaric aciduria type 1 by E. Yu. Zakharova, S. V. Mikhailova, V. V. Zarubina, N. A. Krasnoshchekova, N. L. Pechatnikova, V. P. Vorontsova, D. I. Gribov, M. V. Zazivihina, А. N. Slatetskaya, M. V. Kurkina, P. V. Baranova, L. P. Nazarenko, S. А. Repina, L. R. Selimsyanova, N. D. Vashakmadse, T. V. Bushueva

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Estimation and trend analysis of grassland aboveground biomass on the Qinghai-Xizang Plateau based on machine learning by Ruoqi Zhang, Qisheng Feng, Yonghui Zhang, Jingjing Mai, Tiangang Liang

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Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis by Pierre Heudel, Mashal Ahmed, Felix Renard, Arnaud Attye

“…Manifold learning and machine learning algorithms were applied to uncover complex data relationships and develop predictive models. …”
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Zooming into Berlin: tracking street-scale CO2 emissions based on high-resolution traffic modeling using machine learning by Max Anjos, Fred Meier

“…Using data-driven algorithms, traffic counts, spatio-temporal features, and meteorological data, our model predicted hourly traffic flow, average speed, and CO2 emissions for passenger cars (PC) and heavy-duty trucks (HDT) at the street scale in Berlin. …”
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Noise Processing Method of MEMS Tilt Sensor Using Improved Kalman Filter Based on Quantum Particle Swarm Optimization by Yutong Ge, Weizheng Ren, Kaile Yu, Yiran Zhang, Yuxiao Li

“…To validate the denoising performance of proposed algorithm, an experimental scene was set up with a six-dimensional space vibration test bench. …”
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A prospective, multicenter analysis of the integrated 31-gene expression profile test for sentinel lymph node biopsy (i31-GEP for SLNB) test demonstrates reduced number of unnecess... by J. Michael Guenther, Andrew Ward, Brian J. Martin, Mark Cripe, Rohit Sharma, Stanley P. Leong, Joseph I. Clark, John Hamner, Timothy Beard

“…Results No patients with < 5% i31-GEP predicted risk had a positive SLNB (0/35). Propensity matching demonstrated an 18.5% reduction in SLNBs performed (43.7% vs. 62.2%. p < 0.001). …”
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Deterring Street Crimes Using Aerial Police: Data-Driven Joint Station Deployment and Patrol Path Planning for Policing UAVs by Zuyu Chen, Yan Liu, Shengze Hu, Xin Zhang, Yan Pan

“…In the first module, the street-level deterring effect of the UAVs is estimated using a prediction-enhanced method, which guides the UAVs to patrol the high-risk streets more efficiently. …”
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Diagnostics and Prognostics of Boilers in Power Plant Based on Data-Driven and Machine Learning by Achmad Widodo, Toni Prahasto, Mochamad Soleh, Herry Nugraha

“…The proposed method utilizes machine learning techniques through support vector machine (SVM) and random forest algorithm (RFA) for anomaly detection and similarity-based method of dynamic time warping (DTW) for RUL prediction. …”
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Systematic pan-cancer analysis identified NCOA4 as an immunological and prognostic biomarker and validated in lung adenocarcinoma by An Wang, Yun-ye Mao, Tao Li, Xin Zhou, Yi-bing Bai, Jia-pei Qin, Yi Dong, Ting Wang, Tong Zhang, Zhi-qiang Ma, Yi Hu

“…LUAD samples were stained using immunohistochemistry (IHC). TIDE algorithm was used to predict immune checkpoint blockade (ICB) response within the TCGA-LUAD cohort. …”
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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

“…Comprehensive experimental validation demonstrates the performance of the algorithm in a variety of test scenarios. The method tracked MTS vibrations with 97% accuracy in a laboratory environment, and the robustness of the environment was confirmed by successful noise reduction using a dedicated noise-suppression algorithm under camera-induced interference conditions. …”
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FROM FARCE TO HYPE (ISSUES OF MODERN INTERNET COMMUNICATION) / ОТ БАЛАГАНА ДО ХАЙПА (ПРОБЛЕМЫ СОВРЕМЕННОЙ ИНТЕРНЕТ-КОММУНИКАЦИИ)... by SЕMЕNОVА ELENA А. / СЕМЕНОВА Е.А.

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Detection and Optimization of Traffic Networks Based on Voronoi Diagram by Rui Tao, Jian Liu, Yuqing Song, Rui Peng, Dali Zhang, Jiangang Qiao

“…Salient peaks are selected based on the prominence. The algorithm takes O(n log n) time and linear space, where n is the size of the input time series. …”
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Integrating holographic counterparts for intelligent IoT consumer devices by M. Rajesh, M. Usha, Sathishkumar Veerappampalayam Easwaramoorthy

“…Advancements in quantum algorithms for predictive learning, self-optimization through more integrated machine learning models, and the development of standardised interoperability protocols to facilitate wider industrial usage are all areas that will be investigated in future research.…”
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Privacy-Preserving Machine Learning (PPML) Inference for Clinically Actionable Models by Baris Balaban, Seyma Selcan Magara, Caglar Yilgor, Altug Yucekul, Ibrahim Obeid, Javier Pizones, Frank Kleinstueck, Francisco Javier Sanchez Perez-Grueso, Ferran Pellise, Ahmet Alanay, Erkay Savas, Cetin Bagci, Osman Ugur Sezerman

“…Machine learning (ML) refers to algorithms (often models) that are learned directly from data, germane to past experience. …”
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Dental bur detection system based on asymmetric double convolution and adaptive feature fusion by HongLing Hou, Ao Yang, Xiangyao Li, Kangkai Zhu, Yandi Zhao, Zhiqiang Wu

“…The model also achieved a 14.4% reduction in parameter volume and a 17.9% decrease in computational expenditure, while achieving a flawless counting accuracy of 100%. …”
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Acute severe ulcerative colitis: using JAK-STAT inhibitors for improved clinical outcomes by Shruthi Karthikeyan, Chetan Ambastha, Kian Keyashian

“…Failure to treat ASUC may lead to toxic dilation of the colon, hemorrhage, or sepsis. Current algorithms suggest the use of intravenous (IV) corticosteroids upon diagnosis, with transition to oral corticosteroids, calcineurin inhibitors or tumor necrosis factor (TNF) inhibitors upon reduction of severe symptoms for candidates deemed to be amenable to medical management. …”
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