Approaches for handling imbalanced data used in machine learning in the healthcare field: A case study on Chagas disease database prediction. by André G Coimbra, Cleiane G Oliveira, Matheus P Libório, Hasheem Mannan, Laercio I Santos, Elisa Fusco, Marcos F S V D'Angelo

“…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …”
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Research on Construction and Updating of Global Grid Maps in Mining Truck Autonomous Driving Scenarios by DENG Chao, LONG Teng, YUAN Xiwen, LI Cheng

“…The closest point to the origin in each sector is extracted to define the boundary for a drivable area, while points on a circle with a 30-meter radius serve as the boundary for a scanning area, leading to the construction of partially enclosed drivable and scanning areas using the Bresenham's algorithm. …”
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Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study by P. A. Makar, P. Cheung, C. Hogrefe, A. Akingunola, U. Alyuz, J. O. Bash, M. D. Bell, R. Bellasio, R. Bianconi, T. Butler, H. Cathcart, O. E. Clifton, O. E. Clifton, A. Hodzic, I. Kioutsioukis, R. Kranenburg, A. Lupascu, A. Lupascu, J. A. Lynch, K. Momoh, J. L. Perez-Camanyo, J. Pleim, Y.-H. Ryu, R. San Jose, D. Schwede, D. Schwede, T. Scheuschner, M. W. Shephard, R. S. Sokhi, S. Galmarini

“…The absence of base cation chemistry in some models was shown to be a major factor in positive biases in fine-mode particulate ammonium and particle nitrate concentrations. Models employing ammonia bidirectional fluxes had both the largest- and the smallest-magnitude biases, depending on the model and bidirectional flux algorithm employed. …”
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MOSRS: An engineering multi-objective optimization through Einsteinian concept. by Vahid Goodarzimehr, João Luiz Junho Pereira, Nima Khodadadi

“…It relies on principles inspired by the theory of special relativity physics, which iteratively refines solutions toward optimality and self-adapts its parameters using these laws. Unlike most algorithms in the literature today, the user sets only the number of iterations and particles (or population). …”
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Monte Carlo Planning Method Estimates Planning Horizons during Interactive Social Exchange. by Andreas Hula, P Read Montague, Peter Dayan

“…A natural framework for this is that of an interactive partially observable Markov decision process (IPOMDP). …”
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Energy saving in rail transport by Jan Antoš

“…On this track, (especially electrification and partial reconstruction of the superstructure) is planned. …”
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An Adaptive Subspace Similarity Search Approach by Jianxin Ren, Huahui Chen

“…In recent years，such database fields as multimedia information retrieval，similarity join and time series matching，where similarity search has attracted much attention.Existing researches mostly compute nearest neighbor to solve problems about search target set，such as kNN and kNNJ，by metric distance functions in the Euclidean space.But some studies showed that high dissimilarity dimensions had got great effect on the accuracy of answer and flexibility and robustness still were lacked in corresponding solutions.Thus centralized dynamic subspace or partial dimensions similarity search problem and algorithms were proposed at first.Furthermore，with the emerge of very large dataset，centralized algorithms can，t extend very well.Finally，the distributed ones under hadoop framework were proposed.Experiments prove that distributed algorithms outperform centralized ones in the performance without accuracy loss.…”
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Tracking of Noncooperative Airborne Targets Using ADS-B Signal and Radar Sensing by Ming-Shih Huang, Ram M. Narayanan, Yan Zhang, Arthur Feinberg

“…This paper addresses the formulation and analysis of a suitable noncooperative multitarget tracking method for the ADS-B radar system using radar ranging techniques and particle filter algorithms. In addition, the low-update-rate measurement due to the ADS-B system specification is discussed in order to provide acceptable estimation results. …”
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Research on ontology based data integration of land use by CHEN Jian-jie, YE Zhi-xuan, KE Zheng-yi

“…This paper explored a land use reference model and expressed the semantic of domain knowledge distinctly based on the ontology technology, and used OWL (Ontology Web Language) to describe the partial of land use feature ontology. The research had achieved the purpose for knowledge sharing and semantic interoperation effectively, in addition, the paper gave an elementary process and main algorithms for land use data integration based on the ontology, and used a Multi-Agent method to develop a prototype.…”
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Uniting and reigniting critical Wikimedia research by Steve Jankowski, Heather Ford, Andrew Iliadis, Francesca Sidoti

“…The manifesto emphasizes the need to analyze power dynamics, policy-practice tensions, linguistic and cultural plurality, and the impact of algorithms. It also advocates for historicizing Wikimedia's epistemology, recognizing the dispossession of the commons, and understanding its data as partial and evolving. …”
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Handy formulas for binomial moments by Maciej Skorski

“…In addition, the paper presents algorithms to derive these formulas along with working implementation in Python’s symbolic algebra package. …”
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Prediction of Psychoacoustic Metrics Using Combination of Wavelet Packet Transform and an Optimized Artificial Neural Network by Mehdi POURSEIEDREZAEI, Ali LOGHMANI, Mehdi KESHMIRI

“…The model is optimized using the particle swarm optimization (PSO) and the back propagation (BP) algorithms. …”
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Systematic metabolic profiling and bioactivity assays for bioconversion of Aceraceae family. by Jinyong Park, Dong Ho Suh, Digar Singh, Sarah Lee, Jong Seok Lee, Choong Hwan Lee

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Endogenous retroviruses of non-avian/mammalian vertebrates illuminate diversity and deep history of retroviruses. by Xiaoyu Xu, Huayao Zhao, Zhen Gong, Guan-Zhu Han

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Security decision method for the edge of multi-layer satellite network based on reinforcement learning by Peiliang ZUO, Shaolong HOU, Chao GUO, Hua JIANG, Wenbo WANG

“…This paper uses deep reinforcement learning algorithms to implement edge security decisions for satellite networks. …”
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RETRACTED: Gyrotactic Motile Microorganisms Impact on Pseudoplastic Nanofluid Flow over a Moving Riga Surface with Exponential Heat Flux by Hassan Waqas, Mowffaq Oreijah, Kamel Guedri, Sami Ullah Khan, Song Yang, Sumeira Yasmin, Muhammad Ijaz Khan, Omar T. Bafakeeh, El Sayed Mohamed Tag-ElDin, Ahmed M. Galal

“…<b><i>Methodology:</i></b> Suitable similarity transformations were used to transmute the partial differential equations of the flow-modeled phenomena into the structure of ordinary differential ones. …”
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Rare Late Pleistocene-early Holocene human mandibles from the Niah Caves (Sarawak, Borneo). by Darren Curnoe, Ipoi Datan, Jian-Xin Zhao, Charles Leh Moi Ung, Maxime Aubert, Mohammed S Sauffi, Goh Hsiao Mei, Raynold Mendoza, Paul S C Taçon

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Tolerogenic β2-glycoprotein I DNA vaccine and FK506 as an adjuvant attenuates experimental obstetric antiphospholipid syndrome. by Ya-Hsuan Chao, Der-Yuan Chen, Joung-Liang Lan, Kuo-Tung Tang, Chi-Chien Lin

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Remote sensing inversion of nitrogen content in silage maize plants based on feature selection by Kejing Cheng, Kejing Cheng, Jixuan Yan, Jixuan Yan, Guang Li, Guang Li, Weiwei Ma, Weiwei Ma, Zichen Guo, Zichen Guo, Wenning Wang, Wenning Wang, Haolin Li, Qihong Da, Qihong Da, Xuchun Li, Xuchun Li, Yadong Yao, Yadong Yao

“…This study employs multispectral remote sensing images, combined with field-measured nitrogen content, to develop canopy nitrogen content inversion models for maize using three algorithms: backpropagation neural network (BP), support vector machine (SVM), and partial least squares regression (PLSR). …”
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Impact of the number of dissected lymph nodes on machine learning-based prediction of postoperative lung cancer recurrence: a single-hospital retrospective cohort study by Kyoichi Okishio, Shinji Atagi, Kensuke Kojima, Hironobu Samejima, Toshiteru Tokunaga, Hyungeun Yoon

“…The partial dependence plot of this model revealed a non-linear dependence of the number of dissected lymph nodes on recurrence prediction within the range of 0–20 nodes, with the weakest dependence at 10 nodes. …”
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