The effectiveness of a novel artificial intelligence (AI) model in detecting oral and dental diseases by Ravi Rathod, Saffa Dean, Christopher Sproat

“…Abstract Introduction Implementing artificial intelligence (AI) to use patient-provided intra-oral photos to detect possible pathologies represents a significant advancement in oral healthcare. AI algorithms can potentially use photographs to remotely detect issues, including caries, demineralisation, and mucosal abnormalities such as gingivitis. …”
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Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

“…When interpolating pixel values, high-priority blocks use local alignment values, and low-priority blocks use global alignment values. …”
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A Study on Spatial and Temporal Changes and Synergies/Trade-Offs of the Production-Living-Ecological Functions in Mountainous Areas Based on the Niche Width Model by Yaling Li, Ruoying Song, Ping Ren

“…Based on this, spatial clustering patterns were further analyzed using Maxwell’s triangle and K-means algorithms to delineate functional zones. Key findings include: (1) Production function (PF) and living function (LF) exhibit a “core-periphery” spatial pattern (high-value clusters in the south, low-value contiguous areas in the north), while ecological function (EF) displays a “high-low-high” ring-shaped pattern (high values in the northwest and southeast, declining in the central region due to development pressure); (2) synergy and trade-off relationships coexist in the study area. …”
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Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective... by Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi

“…The policy outputs action logits, integrated with Q-value estimates sampled via Thompson Sampling from a Gaussian posterior. …”
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Circular thin plates buckling analysis with HRPIM method by Baid Sokayna, Hilali Youssef, Mesmoudi Saïd, Bourihane Oussama

“…This paper aims to introduce a new approach to simulate geometrically nonlinear problems that require shape functions with higher order continuity such as the buckling analysis of circular thin and thick plates based on two theories; Classical plate theory (CPT) and Third order Shear Deformation Theory (TSDT). The algorithm integrates high-order continuation (HOC) solver and the Hermite-type radial point interpolation method (HRPIM). …”
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Fault detection for Li-ion batteries of electric vehicles with segmented regression method by Muaaz Bin Kaleem, Yun Zhou, Fu Jiang, Zhijun Liu, Heng Li

“…Lastly, an adaptive threshold algorithm is proposed to integrate driving behavior and environmental factors into a Gaussian process regression model. …”
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Model Predictive Control with Optimal Modelling for Pneumatic Artificial Muscle in Rehabilitation Robotics: Confirmation of Validity Though Preliminary Testing by Dexter Felix Brown, Sheng Quan Xie

“…MPC generally performed the best of the controllers tested here, with the lowest error values and a rapid response to changes in setpoint, as well as no required learning period due to the predictive algorithm.…”
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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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An accurate collocation method for distributed order time fractional nonlinear diffusion wave equation with error analysis by M. Taghipour, H. Aminikhah

“…With the Levenberg–Marquardt algorithm as an option, the resulting system had been solved using Matlab’s fsolve tool. …”
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A reversible and robust hybrid image steganography framework using radon transform and integer lifting wavelet transform by B. M. El-den, Walid Raslan

“…High Normalized Correlation Coefficient (NCC) values close to 1 further confirm the algorithm’s reversibility and integrity, even under common attacks such as Gaussian Noise, Poisson Noise, Blurring, and Cropping. …”
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Research on Thermodynamic Properties of the CO₂ Medium During Phase Transition Excited by Energetic Agent by SHEN Zhiqiang, XIA Jun, ZHANG Fanzhen, YANG Lijun

“…A zero-dimension theory prediction model is established in our work and can be used to obtain the thermodynamic parameters of the CO₂ working fluid during exciting process more easily.MethodsBased on the geometric combustion hypothesis of energetic agents and the thermodynamic conservation laws of the system, a thermodynamic performance prediction model for the phase change process of CO₂ working medium excited by energetic agents was established, and the classical Runge-Kutta step-by-step integration algorithm was used to get numerical solution. …”
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Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

“…A comparative analysis of various machine learning algorithms revealed that an optimized XGBoost model demonstrated superior predictive performance, achieving an R² value of 0.943 and an RMSE of 1.423 for the test dataset. …”
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Adaptive Large Neighborhood Search Metaheuristic for the Capacitated Vehicle Routing Problem with Parcel Lockers by Amira Saker, Amr Eltawil, Islam Ali

“…The problem is resolved by ALNS algorithm, which outperformed the MIP model.…”
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Estimation of Ground-Level NO₂ Concentrations Over Megacities Using Sentinel-5P and Machine Learning Models: A Case Study of Istanbul by N. Yagmur Aydin, I. Aydin

“…Satellite data, which provides a wide coverage area, enables local and global analysis while providing data with low spatial resolution. Integration of ground and satellite data using machine learning (ML) algorithms enables more accurate regional analysis. …”
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Stability Evaluation of Slope Based on Global Sensitivity Analysis by Zhaoxia Xu, Xiuzhen Wang, Lu Guo, Teng Yu

“…When calculating the sensitivity index of one parameter, all other parameters are taken as fixed values, and the uncertainty of all parameters cannot be considered simultaneously. …”
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Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting. by Mohamed Irhuma, Ahmad Alzubi, Tolga Öz, Kolawole Iyiola

“…Furthermore, the K-nearest Neighbor imputation technique fills the missing values, which preserves the data integrity as well as reliability. …”
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Tools of Conducting Strategy of Institutional Transformations in Industrial Complex in Conditions of Digital Economy by A. G. Boev

“…The author substantiated the goal of development, principles of building, parameters of scientific-methodological and resource support, as well as other aspects of the mechanism of conducting strategy of transformations. Mechanism of algorithm self-diagnosing was designed, which helps control and analyze effectiveness of reforms, speed of transformation in comparison with average-market values, changes in the level of innovation activity and digitalization of the industrial complex, structure of personnel involvement in the process of strategic changes and dynamics of entropy in the enterprise economic system during the transition period. …”
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Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…However, the field still faces specific challenges, primarily concerning the accuracy of identifying student behaviors within complex and variable classroom environments, as well as the real-time capabilities of detection algorithms. To address these challenges, we propose an efficient and straightforward algorithm based on the YOLO architecture. …”
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Intermittent Short Circuit Fault Location for CAN Based on Two-Port Network Modeling by Longkai Wang, Yi Yang, Yong Lei

“…Third, a bidirectional eviction localization algorithm is developed to identify ISC fault locations based on the fault and health domains. …”
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Comparative Analysis of The Combined Model (Spatial and Temporal) and Regression Models for Predicting Murder Crime by Laith S. Ibrahim, Ghadeer Jasim Mohammed

“…Several models were used for comparison with the integrated model, namely Multiple Linear Regression (MLR), Decision Tree Regression (DTR), Random Forest Regression (RFR) and Neural Network Regression (NNR). …”
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