Cutting guides in mandibular tumor ablation: Are we as accurate as we think? by Omar Suhaym, Loren Moles, Nicholas Callahan

“…Conclusion: The finding of this study suggests that virtual surgical planning is an unambiguous paradigm shift in the predictability of the surgical plan and achievement of the reconstruction goals. …”
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Forced motion control of a mobile robot by T. Yu. Kim, R. A. Prakapovich, A. A. Lobatiy

“…A side result of the developed control system is that when it is scaled to a group of robots, it becomes possible to predict the time and place of their potential collisions, in order to subsequently take into account a group of robots for effective control.Conclusion. …”
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Numerical modeling and experimental estimates of structural member fatigue characteristics by Yu. P. Man’shin, E. Yu. Man’shina

“…Introduction. In the algorithm for predicting the resource of machine parts, models of external actions, fracture resistance, and temporal development of a particular type of damage to these units interact. …”
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Classification of Moral Decision Making in Autonomous Driving: Efficacy of Boosting Procedures by Amandeep Singh, Yovela Murzello, Sushil Pokhrel, Siby Samuel

“…This study investigates machine learning models to predict human decision making in simulated driving scenarios under varying pedestrian configurations and time constraints. …”
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Dynamic topology adaptability of adaptive multimodal transmission strategy based on environment perception in multi-hop routing of 5G vehicle network by Shengxia Tan, Xianshuang Zong, Feng Xiao

“…The features are input into gated recurrent unit (GRU) for time series modeling to predict the link node movement pattern. Then, ad hoc on-demand distance vector routing (AODV), greedy perimeter stateless routing (GPSR) and dynamic source routing (DSR) are integrated, and the best protocol is automatically selected through the classification and regression trees (CART) algorithm. …”
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A novel method for simulating dynamic facades to analysing, and optimizing daylight and visual comfort in office buildings by Mehran Shahmoradi, Mansour Yeganeh

“…Finally, it gives 12 two-variable functions (surface function) based on the sun's position parameters (x: azimuth, y: altitude) to shading device indices; then, these can predict the entire year's ideal position for the shading device. …”
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Multi-objective optimization of residential energy-saving design based on fuzzy multi-criteria decision-making behavior model by Suzhen Pei, Gaoxiang Chen, Jian Yao, Yichen Dang

“…Traditional building energy simulation models often neglect the stochastic nature of occupant behavior and multi-device interaction, leading to discrepancies between predicted and actual energy consumption. This study introduces a multi-objective optimization framework based on a Fuzzy Multi-Criteria Decision-Making (FMCDM) behavioral model. …”
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Single-Step Sampling Approach for Unsupervised Anomaly Detection of Brain MRI Using Denoising Diffusion Models by Mohammed Z. Damudi, Anita S. Kini

“…The output is a binary image showing the predicted anomalous regions, which is then compared to the ground truth to evaluate its segmentation performance. …”
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An Elderly-Oriented Form Design of Low-Speed New Energy Vehicles Based on Rough Set Theory and Support Vector Regression by Zimo Chen

“…Second, the cars’ appearances are deconstructed by morphological analysis, and the key design features affecting elderly-oriented satisfaction are identified by a rough set attribute reduction algorithm. Finally, support vector regression is used to establish a mapping model of elderly-oriented Kansei factors and the key design features to predict the elderly-oriented form design of optimal low-speed NEVs. …”
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A deep operator network for Bayesian parameter identification of self-oscillators by Tobias Sugandi, Bayu Dharmaputra, Nicolas Noiray

“…The proposed approach can directly predict the finite-time KM coefficients, eliminating the intermediate computation of the solution field of the adjoint Fokker–Planck equation. …”
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Downward Convective Moisture Transport Dominated by a Few Overshooting Clouds in Marine and Continental Shallow Convection by Heng Xiao, Adam Varble, Colleen Kaul, Johannes Mülmenstädt

“…We apply a 3‐D cloud‐tracking algorithm to large‐eddy simulations (LESs) of marine and continental shallow convection. …”
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Optimizing chemotherapeutic targets in non-small cell lung cancer with transfer learning for precision medicine. by Varun Malik, Ruchi Mittal, Deepali Gupta, Sapna Juneja, Khalid Mohiuddin, Swati Kumari

“…Non-small cell lung cancer (NSCLC) accounts for the majority of lung cancer cases, making it the most fatal diseases worldwide. Predicting NSCLC patients' survival outcomes accurately remains a significant challenge despite advancements in treatment. …”
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Short course of glucocorticoids in patients with protracted and chronic gout arthritis. Part I: predictors of therapy efficacy by A A Fedorova, V G Barskova, I A Yakunina, V A Nasonova

“…The study allowed to reveal features which determine efficacy of short course of GC therapy in pts with protracted and chronic gout arthritis: inflamed joint count, duration of the last exacerbation and chronic renal insufficiency. Proposed an algorithm allowing to predict efficacy of GC short course in each pt.…”
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Machine learning-based equations for improved body composition estimation in Indian adults. by Nick Birk, Bharati Kulkarni, Santhi Bhogadi, Aastha Aggarwal, Gagandeep Kaur Walia, Vipin Gupta, Usha Rani, Hemant Mahajan, Sanjay Kinra, Poppy A C Mallinson

“…We combined BIA measurements (TANITA BC-418) with skinfold thickness, body circumferences, and grip strength to develop equations to predict six DXA-measured body composition parameters in a cohort of Indian adults using machine learning techniques. …”
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Intelligent intrusion detection system based on crowd search optimization for attack classification in network security by Chetan Gupta, Amit Kumar, Neelesh Kumar Jain

“…We have also created a confusion matrix over different kinds of attacks concerning predicted class and attack class, enabling us to evaluate the performance of a classification model for various attack groups without taking CSO and after applying the CSO approach. …”
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Reconstructing the silent circulation of West Nile Virus in a Caribbean island during 15 years using sentinel serological data. by Celia Hamouche, Jennifer Pradel, Nonito Pagès, Véronique Chevalier, Sylvie Lecollinet, Jonathan Bastard, Benoit Durand

“…During years with circulation, the FOI was predicted to be highest around the months of October-November, although transmission could occur all year long. …”
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DESIGN AND FIELD TEST OF FUZZY PID CONTROL SYSTEM OF ACTIVE SUSPENSION FOR BLUEBERRY HARVESTER by Cun Chu, Haibin Wang, Ruiqing Zhang, Zhiyong Chu

“…A fuzzy proportion integral differential (PID) control algorithm and decoupled control strategy were employed to design the AS control system. …”
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Study on Efficiency Expression and Conversion Method of Wankel Pump by Yanshun LIU, Xiao ZHANG, Zheng ZHOU, Xianghui LI, Zecheng DENG, Qiang FU

“…This study is intended to predict the efficiency performance of the Wankel pump at various speeds and heads, providing a fundamental basis for the design and development of the Wankel pump.…”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

“…Compared to the alternative methods, for both the plant species, the MML method selects the simplest model while also having the overall best predictions.…”
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Spatiotemporal Patterns of Drought Migration Across the Contiguous United States by Amitesh Sabut, Ashok Mishra, Dara Entekhabi

“…These findings offer crucial spatiotemporal frameworks for studying the migration process and provide valuable insights for predicting drought occurrences.…”
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