Improving triage performance in emergency departments using machine learning and natural language processing: a systematic review by Bruno Matos Porto

“…Conclusion NLP methods improved ML algorithms' classification capability using triage nursing and medical notes and structured clinical data compared to algorithms using only structured data. …”
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Probabilistic Solar Proxy Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

“…Currently, the USAF contracts Space Environment Technologies (SET), which uses a linear algorithm to forecast F10.7cm. In this work, we introduce methods using neural network ensembles with multi‐layer perceptrons (MLPs) and long‐short term memory (LSTMs) to improve on the SET predictions. …”
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Infrared Small Target Detection via Modified Fast Saliency and Weighted Guided Image Filtering by Yi Cui, Tao Lei, Guiting Chen, Yunjing Zhang, Gang Zhang, Xuying Hao

“…Considering that many state-of-the-art (SOTA) methods are still unable to suppress various edges satisfactorily, especially under complex backgrounds, an effective infrared small target detection algorithm inspired by modified fast saliency and the weighted guided image filter (WGIF) is presented in this paper. …”
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Eco-Driving Optimal Controller for Autonomy Tracking of Two-Wheel Electric Vehicles by Y. Bello, T. Azib, C. Larouci, M. Boukhnifer, N. Rizoug, D. Patino, F. Ruiz

“…The eco-driving profiles are algorithms able to use additional information in order to create recommendations or limitation over the driver capabilities. …”
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MicrocrackAttentionNext: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks Through Feature Visualization by Fatahlla Moreh, Yusuf Hasan, Bilal Zahid Hussain, Mohammad Ammar, Frank Wuttke, Sven Tomforde

“…The impact of various activation and loss functions are examined through feature space visualisation using the manifold discovery and analysis (MDA) algorithm. The optimized architecture and training methodology achieved an accuracy of 87.74%.…”
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Application of the SARIMA-LSTM model to evaluate the effectiveness of interventions for Visceral Leishmaniasis by Mengchen Han, Chongqi Hao, Zhiyang Zhao, Peijun Zhang, Bin Wu, Lixia Qiu

“…A paired samples t-test revealed a statistically significant difference between predicted and actual case counts (t = -4.058, p < 0.001), indicating that the actual number of cases was lower than predicted. …”
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Modeling and Control of a Ballbot: A Systematic Approach by Mahmoud Abdelrahim, Mahmoud A. Thabet, Hossam S. Abbas, Mohamed M. M. Hassan, Mohamed H. Amin, Abdelrahman Morsi

“…The approach demonstrates a modular, low-complexity framework suitable for both research and educational platforms. Future work may explore extending this approach to more complex dynamic environments, advanced hardware, and nonlinear intelligent control strategies such as fuzzy logic and model predictive control.…”
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Retrospective analysis of COVID-19 clinical and laboratory data: Constructing a multivariable model across different comorbidities by Mahdieh Shokrollahi Barough, Mohammad Darzi, Masoud Yunesian, Danesh Amini Panah, Yekta Ghane, Sam Mottahedan, Sohrab Sakinehpour, Tahereh Kowsarirad, Zahra Hosseini-Farjam, Mohammad Reza Amirzargar, Samaneh Dehghani, Fahimeh Shahriyary, Mohammad Mahdi Kabiri, Marzieh Nojomi, Neda Saraygord-Afshari, Seyedeh Ghazal Mostofi, Zeynab Yassin, Nazanin Mojtabavi

“…Clinical and laboratory data, along with comorbidity information, were collected and analyzed using advanced coding, data alignment, and regression analyses. Machine learning algorithms were employed to identify relevant features and calculate predictive probability scores. …”
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A New Method for Camera Auto White Balance for Portrait by Sicong Zhou, Kaida Xiao, Changjun Li, Peihua Lai, Hong Luo, Wenjun Sun

“…Experimental results on difficult skin color reproduction task demonstrate that SCR-AWB significantly outperforms traditional AWB algorithms. It achieves lower reproduction angle errors and more accurate CCT predictions, with deviations below 300 K in most cases. …”
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Research on a Fusion Technique of YOLOv8-URE-Based 2D Vision and Point Cloud for Robotic Grasping in Stacked Scenarios by Xuhui Ye, Xiaoyang Qin, Leming Zhan, Jun Wang, Yan Chen

“…To address these challenges, this paper proposes a grasp pose estimation algorithm that integrates 2D object detection based on YOLOv8-URE with 3D point cloud registration. …”
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Online Calibration of Inertial Sensors Based on Error Backpropagation by Vojtech Simak, Jan Andel, Dusan Nemec, Juraj Kekelak

“…We performed data fusion using an extended Kalman filter (EKF) and calibrated the input sensors through error backpropagation. The algorithm thus calibrates the INS sensors while the GNSS receiver signal is good, and after a GNSS failure, for example in tunnels, the position is predicted only by low-cost inertial sensors. …”
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A user cache management and cooperative transmission mechanism based on edge community computing in opportunistic social networks by Wangping Xiong, Hao Chen, Ying Jiao, Ming Yang, Xian Zhou, Jia Wu

“…Simulation experiments show that the CMCT algorithm can reduce end‐to‐end delay and overhead, and improve data transmission efficiency.…”
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Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer by Masaharu HIDA, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI

“…In this paper, we employ an innovative optimization method that employs a factorization machine with a digital annealer (FM-DA) and a genetic algorithm (GA). The result is a global optimization method that integrates local optimization structures into its framework. …”
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Modeling, Simulation, and Kinetic Studies of Solvent-Free Biosynthesis of Benzyl Acetate by Vijay Kumar Garlapati, Annapurna Kumari, Paramita Mahapatra, Rintu Banerjee

“…Statistical integrated genetic algorithm optimization approach results in an optimized molar conversion of 96.32% with the predicted transesterification variables of 0.47 M alcohol molarity in a reaction time of 13.1 h, at 37.5°C using 13.31 U of immobilized lipase. …”
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A spatio-temporal infection epidemic model with fractional order, general incidence, and vaccination analysis by Sara Soulaimani, Abdelilah Kaddar, Fathalla A. Rihan

“…Through simulations with a predictor–corrector algorithm, key insights into epidemiological dynamics are provided, elucidating the impact of vaccination on reducing disease transmission and altering R0. …”
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Dealing With Class Imbalance in Uplift Modeling-Efficient Data Preprocessing via Oversampling and Matching by Carla Vairetti, Maria Jose Marfan, Sebastian Maldonado

“…To ensure scalability and effectiveness, we adopt a distributed framework based on MapReduce and utilize a hybrid spill trees algorithm for efficient nearest neighbor search. Our experimental results demonstrate the advantages of the proposed method, achieving statistically superior predictive performance compared to other resampling approaches while maintaining efficiency in terms of overall running times.…”
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Study of Cutting Forces in Drilling of Aluminum Alloy 2024-T351 by Răzvan Sebastian Crăciun, Virgil Gabriel Teodor, Nicușor Baroiu, Viorel Păunoiu, Georgiana-Alexandra Moroșanu

“…The experimental plan included 27 combinations of the parameters of the cutting regime (cutting depth, cutting speed, and feed), for which energetic cutting parameters were measured, the axial force and the torsion moment, respectively Based on these data, a neural network was trained, using the Bayesian regularization algorithm, in order to predict the optimal values of the cutting energy parameters. …”
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Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data by Zhaoxin Liu, Xiaolu Wang, Yufeng Bi, Jun Kong, Run Xu, Yuanpei Chen, Jinjun Tang

“…Firstly, we apply clustering algorithms and the principal component analysis method to extract main feature variables, which can achieve the purpose of dimensionality reduction and eliminate the complex collinearity among variables. …”
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CoMSeC: A Comparative Analysis of Various Service Classification Techniques by Malabika Das, Ansh Sarkar, Sujata Swain

“…These embeddings are further processed using Dense Layers for dimensionality reduction and then used as inputs to different clustering algorithms. …”
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Solutions to face and combat disinformation: proposals in scientific literature from the web of science by Jônatas Edison da Silva, Enrique Muriel-Torrado

“…(a) Science and scientific community; (b) States and governments; (c) Media and communications; (d) Platforms and algorithms; (e) Users and education; and (f) Others. …”
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