Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types by Jurgita Gammall, Alvina G. Lai

“…We compare the performance of different machine learning algorithms and assess the added value of genetic information in cancer prognosis. …”
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Evaluation of the effectiveness of communications between the Department of transport and Development of road transport infrastructure of Moscow and the population within the frame... by R. A. Abramov, Yu. Yu. Temnikova

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Potential Use of a New Energy Vision (NEV) Camera for Diagnostic Support of Carpal Tunnel Syndrome: Development of a Decision-Making Algorithm to Differentiate Carpal Tunnel-Affect... by Dror Robinson, Mohammad Khatib, Mohammad Eissa, Mustafa Yassin

“…<b>Introduction:</b> Carpal Tunnel Syndrome (CTS) is a prevalent neuropathy requiring accurate, non-invasive diagnostics to minimize patient burden. This study evaluates the New Energy Vision (NEV) camera, an RGB-based multispectral imaging tool, to detect CTS through skin texture and color analysis, developing a machine learning algorithm to distinguish CTS-affected hands from controls. …”
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Effectiveness of a clinical decision support algorithm (ePOCT+) in improving quality of care for sick children in primary health facilities in Tanzania (DYNAMIC project): results f... by Dr Caroline Enos, Godfrey A. Kavishe, Alexandra V. Kulinkina, Sabine Renggli, Chacha D. Mangu, Lameck Luwanda, Peter Agrea, Humphrey Mhagama, Margaret Joram, Ibrahim Mtebene, Geofrey Isdory Ashery, Marie-Annick Le Pogam, Honorati Masanja, Nyanda E. Ntinginya, Valérie D'Acremont, Rainer Tan

“…Electronic clinical decision support algorithms (eCDSAs) are a promising solution to improve IMCI compliance. …”
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Designing a Decision Support System (DSS) for Supplier Selection in Multiple Discount Environment by Marzieh Shahrezaee, Reza Ehtesham Rasi, Mehdi Seifbarghy

“…This research aims at developing original components of Decision Support System (DSS) in order to support the evaluation and selection of suppliers in multi products having limited capacity. …”
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Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street by Tianning Yao, Yao Xu, Liang Sun, Pan Liao, Jin Wang

“…The research results indicate variability in pedestrians’ evaluations of spatial quality across different functionally oriented spaces. …”
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An in silico evaluation of lorlatinib as a potential therapy for novel amino acid substitutions in the tyrosine kinase domain of the ALK protein associated with cancer by Richard Junior Zapata Dongo, Julio A. Poterico, Diletta Fontana, Luca Mologni, Carla Alvarez-Chacon, Juan Rojas-Armas, Jaeson Calla

“…Using the SIFT and Polyphen-2 algorithms, we identified 53 deleterious ALK mutations associated with different newly recognized cancer types. …”
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Phenology-Based Maize and Soybean Yield Potential Prediction Using Machine Learning and Sentinel-2 Imagery Time-Series by Dorijan Radočaj, Ivan Plaščak, Mladen Jurišić

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Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation by Hanbyol Jang, Kihun Bang, Jinseong Jang, Dosik Hwang

“…The novel learning technique is called cumulative histogram-based learning and color difference learning. The superior performance of our technique over conventional methods was assessed through objective evaluations of various types of LDR and HDR images.…”
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Climate change and tree cover loss affect the habitat suitability of Cedrela angustifolia: evaluating climate vulnerability and conservation in Andean montane forests by Fressia N. Ames-Martínez, Ivan Capcha Romero, Anthony Guerra, Janet Gaby Inga Guillen, Harold Rusbelth Quispe-Melgar, Esteban Galeano, Ernesto C. Rodríguez-Ramírez

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Assessing urban renewal opportunities by combining 3D building information and geographic big data by Xin Zhao, Nan Xia, ManChun Li

“…Furthermore, employing the SHAP model to elucidate the evaluation results uncovered intricate hierarchical, positive-negative, and overlapping relationships among various factors and different UR types, where geographic big data and 3D building information showed strong correlations. …”
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Early detection of Cercospora beticola and powdery mildew diseases in sugar beet using uncrewed aerial vehicle-based remote sensing and machine learning by Koç Mehmet Tuğrul, Rıza Kaya, Kemal Özkan, Merve Ceyhan, Uğur Gürel, Fatih Yavuz Fidantemiz

“…The study was accomplished by capturing images of uncrewed aerial vehicle (UAV) in field conditions. To effectively evaluate different detection methods in agricultural contexts, the study targeted two key areas: (1) monitoring Cercospora in fields without pesticide application, utilizing the Metos climate station early warning system alongside UAV-based image analysis, and (2) monitoring powdery mildew, which involved visual disease detection and targeted spraying based on UAV image processing. …”
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Nonlinear Equation Solver with MATLAB Graphical User Interface by Nur Idalisa Norddin, Nurul Hafawati Fadhilah, Muhammad Azri Azman Shah, Nurul Hajar Mohd Yusoff, Nur Intan Syafinaz Ahmad

“…This study aims to improve the effectiveness and availability of solving these systems by creating a MATLAB Graphical User Interface (GUI) to compare different iterative methods. The GUI makes it easier to evaluate algorithm performance by providing a more accessible interface to input nonlinear functions, their Jacobians, and also their respective initial approximations. …”
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Multi-energy System Planning and Configuration Study for Low-Carbon Parks Based on Comprehensive Optimization Objectives by Yang WANG, Fei LU, Ji LI, Zhukui TAN, Zongyu SUN, Wei XU, Zihong SONG, Zhenpeng LIU

“…Secondly, by taking a multi-energy system with triple supply of cooling, heating and power system coupled with ground source heat pump, energy storage, and gas boiler in a typical low-carbon park as an example, a comparative analysis was made on the configuration results and optimization speed with different optimization algorithms, and a study was conducted on the impacts of different optimization objectives such as optimal comprehensive optimization objective and lowest whole life-cycle cost and energy consumption on the capacity optimization configuration results and typical daily operation situation. …”
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Football sports video tracking and detection technology based on YOLOv5 and DeepSORT by Bin Wang

“…The detection performance under target overlap and uneven lighting and shadows exceeded 90%, and the difference between the algorithm and other algorithms was at least greater than 2%. …”
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Analysis of physical properties in white and whole wheat sliced bread using digital image processing by Neiry-Dayán Martínez-Lara, Claudia L. Garzón-Castro, Annamaria Filomena-Ambrosio

“…The Stacked Ensemble model obtained a coefficient of determination (R²) of 0.99 and smaller errors in the a* (1.29) and b* (1.57) coordinates. For size, an algorithm based on digital image processing reduced the measurement time by 80% with respect to the manual method, although the asymmetry of the samples generated significant differences in the measurement. …”
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Beyond the Current Curve: A Novel Curve Warning System Considering Subsequent Curve Speed Limits by N. S. Manikandan, Ganesan Kaliyaperumal

“…Furthermore, we conduct a comparative analysis within the Carla simulation environment. We evaluate the existing path-tracking algorithms across various speed scenarios (50, 70, and 80 km/h) and different speed considerations: curve-aware speed and our proposed adjacent curve-speed-limit-aware speed. …”
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Autonomous Robotic Path Planning Based on the Gaussian Mixture Model in Complex Manufacturing Environment by Rui Sun, Yuanmin Wang, Wenzheng Zhao, Yinhua Liu

“…First, in the narrow and complex manufacturing environment, the Gaussian mixture model based on obstacles is used to calculate the collision probability of the robot arm in different poses. Secondly, the initial path is determined using the path generation configuration library, and a segmented path fitness function is introduced to evaluate the quality of the path quantitatively. …”
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The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…Initially, ResNet50 extracts feature vectors from original images, which are inputted into the K-means + + algorithm for clustering. K-means + + automatically partitions these feature vectors into different categories, achieving unsupervised image classification. …”
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Investigation of the Contribution of Five Broadcast Ionospheric Models (GPSK, NTCMG, NEQG, BDGIM, and BDSK) and IRTG to GNSS Positioning During Different Solar Activities in Solar... by Min Li, Yunbin Yuan, Ting Zhang, Hanying Xu, Xingliang Huo, Wenyao Zhang

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