Comprehensive Comparison and Validation of Forest Disturbance Monitoring Algorithms Based on Landsat Time Series in China by Yunjian Liang, Rong Shang, Jing M. Chen, Xudong Lin, Peng Li, Ziyi Yang, Lingyun Fan, Shengwei Xu, Yingzheng Lin, Yao Chen

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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…The article explores the integration of adaptive learning algorithms to optimize low-dose imaging in coronary artery angiography. …”
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Research of Financial Early-Warning Model on Evolutionary Support Vector Machines Based on Genetic Algorithms by Zuoquan Zhang, Fan Lang, Qin Zhao

“…Recently, the support vector machines (SVMs) have been applied to the problem of financial early-warning prediction (Rose, 1999). The SVMs-based method has been compared with other statistical methods and has shown good results. …”
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Research on Investment Estimation of Prefabricated Buildings Based on Genetic Algorithm Optimization Neural Network by Jin Gao, Wanhua Zhao

“…Starting from the investment decision-making stage of construction projects, this paper analyses the characteristics of prefabricated investment estimation and the relevant literature on the characteristics of prefabricated construction projects, uses the rough set attribute reduction algorithm to screen the key engineering characteristic factors, and establishes a BP neural network model optimized by genetic algorithm to estimate and analyze the investment of completed prefabricated construction projects. …”
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Impacts of Local Dimming Algorithms on the Halo Effect in LCD With Local Dimming Mini-LED Backlight by Shuai-Shuai Zhou, Han Gao, Yu-Jiao Ruan, Jian-Bang Zhuang, Yi-Jun Lu, Zhong Chen, Wei-Jie Guo

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Precision evaluation criteria for simulation algorithms in infinite systems: A network model-based approach by Yonglong Ding

“…As the particle count escalates, the computational demands of diverse simulation algorithms surge, paralleled by a marked improvement in accuracy. …”
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Digital Data Encryption Using a Proposed W-Method Based on AES and DES Algorithms by Wisam Abed Shukur, Luheb Kareem Qurban, Ahmed Aljuboori

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Classification of NOx Emission in Marine Engines Utilizing kNN-Based Machine Learning Algorithms by Samet Memiş, Ramazan Şener

“…These findings underscore the potential of machine learning in emission prediction and highlight directions for future exploration in this domain.…”
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Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data by Michele Croci, Manuele Ragazzi, Alessandro Grassi, Giorgio Impollonia, Stefano Amaducci

“…This study aims to rigorously quantify this temporal transferability gap for both pea yield and TR prediction. Four ML algorithms (RF, XGBoost, GPR, SVMr) were evaluated using Sentinel-2 and ERA5-Land data from 2018 to 2024 in northern Italy. …”
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Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models by Sughashini Murugesu, Kristofer Linton-Reid, Emily Braun, Jennifer Barcroft, Nina Cooper, Margaret Pikovsky, Alex Novak, Nina Parker, Catriona Stalder, Maya Al-Memar, Srdjan Saso, Eric O. Aboagye, Tom Bourne

“…Data pre-processing derived 14 features for predictive modelling. A combination of eight linear, Bayesian, neural-net and tree-based machine learning algorithms were applied to ten different feature sets. …”
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Short-Term Electric Load Forecasting for an Industrial Plant Using Machine Learning-Based Algorithms by Oğuzhan Timur, Halil Yaşar Üstünel

“…Recent studies have emphasized the pervasive utilization of machine learning-based algorithms in the field of electric load forecasting for industrial plants. …”
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Optimizing Goods Placement in Logistics Transportation using Machine Learning Algorithms based on Delivery Data by Moh Husnus Syawab, Yunifa Miftachul Arief, Fresy Nugroho, Ririen Kusumawati, Cahyo Crysdian, Agung Teguh Wibowo Almais

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Research on the Construction of Crossborder e-Commerce Logistics Service System Based on Machine Learning Algorithms by Jinbo Xu, Shibiao Mu

“…Based on machine learning algorithms, this paper designs a crossborder e-commerce logistics service system recommendation algorithm. …”
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Advanced Sales Route Optimization Through Enhanced Genetic Algorithms and Real-Time Navigation Systems by Wilmer Clemente Cunuhay Cuchipe, Johnny Bajaña Zajia, Byron Oviedo, Cristian Zambrano-Vega

“…This study proposes a novel Hybrid Genetic Algorithm (GAAM-TS) that integrates Adaptive Mutation, Tabu Search, and an LSTM-based travel time prediction model to enable real-time, intelligent route planning. …”
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A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization by Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen

“…A classification prediction model for abnormal haemoglobin concentrations after kidney transplantation was constructed, and the prediction effect was verified. …”
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Research on Fault Diagnosis Method of High-Speed EMU Air Compressor Based on ICEEMDAN and Wavelet Threshold Combined Noise Reduction by Liqiang Peng, Akang Guo, Shuzhao Zhang

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Experimental testing of a modified active disturbance rejection control for microphonics reduction in a 9-cell TESLA superconducting cavity by A. Elejaga, J. Jugo, P. Echevarria, A. Neumann, A. Ushakov, J. Knobloch

“…Later, the controller is tested on a TESLA cavity validating both the MADRC algorithm and its design methodology, and achieving a peak detuning reduction of 63%, as well as an rms reduction of 80% with respect to the open loop.…”
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Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features by Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

“…To address this issue, we present Rore, an algorithm based on a feature-dimensionality reduction strategy. …”
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Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study by Mahmoud B Almadhoun, MA Burhanuddin

“…This study aims to compare the effectiveness of machine learning (ML) algorithms in predicting prediabetes and identifying its key clinical predictors. …”
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Point-to-Interval Prediction Method for Key Soil Property Contents Utilizing Multi-Source Spectral Data by Shuyan Liu, Dongyan Huang, Lili Fu, Shengxian Wu, Yanlei Xu, Yibing Chen, Qinglai Zhao

“…Among these strategies, the outer-product analysis fusion algorithm proved particularly effective in improving prediction accuracy. …”
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