The Development Path and Carbon-Reduction Method of Low-Carbon Pilot Urban Areas in China by Lining Zhou, Qingqin Wang, Haizhu Zhou, Yiqiang Jiang, Rongxin Yin, Tong Lu

“…At the same time, after comparing models, such as random forest and support vector machine, the XGBoost algorithm is adopted for short-term prediction (R² = 0.984, MAE = 0.195). …”
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Static Voltage Stability Evaluation and Correction Strategy Based on Stage Solving Strategy and SIFT by Yan Wen, Xiaoming Liu, Yongzhi Zhou, Huiwen Zhang, Donglei Sun

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Multi-Intersection Signal Control Based on Asynchronous Reinforcement Learning by Jixiang Wang, Siqi Chen, Jing Wei, Boao Wang, Haiyang Yu

“…In the same traffic scenario, the MADRL algorithm used for asynchronous decision-making has improved the average vehicle delay and average queue length by at least 55% compared to traditional arterial green wave control methods and adaptive control methods, and by at least 5% compared to SAC and A2C methods.…”
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Revolutionizing Prenatal Care: Harnessing Machine Learning for Gestational Diabetes Anticipation by Sanmugasundaram Ravichandran, Hui-Kai Su, Wen-Kai Kuo, Manikandan Mahalingam, Kanimozhi Janarthanan, Bruhathi Sathyanarayanan, Kabilan Saravanan

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Feature Variable Selection Based on VIS-NIR Spectra and Soil Moisture Content Prediction Model Construction by Nan Zhou, Jin Hong, Bo Song, Shichao Wu, Yichen Wei, Tao Wang

“…The investigation looked at how changes in the soil moisture content impacted the response of the soil spectra. The researchers used a genetic algorithm (GA), interval combination optimization (ICO), and competitive adaptive reweighted sampling (CARS) to filter feature variables from full-band spectral data. …”
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Brain state dynamics and working memory in patients with schizophrenia and unaffected siblings by Feiwen Wang, Jie Yang, Jun Yang, Peng Cheng, Wenjian Tan, Danqing Huang, Maoxing Zhong, Xiawei Liu, Weiqing Huang, Zhening Liu, Lena Palaniyappan

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The Output Characteristics of the Photovoltaic Array for Laser Wireless Power Transmission Within Non-Kolmogorov Turbulence considering Pointing Error by Zhenyang Xiong, Xing Du, Guoning Xu, Hao Du, Zhongzhen Jia, Sheng Wang, Rong Cai, Guixuan Ding

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Two Datasets over South Tyrol and Tyrol Areas to Understand and Characterize Water Resource Dynamics in Mountain Regions by Ludovica De Gregorio, Giovanni Cuozzo, Riccardo Barella, Francisco Corvalán, Felix Greifeneder, Peter Grosse, Abraham Mejia-Aguilar, Georg Niedrist, Valentina Premier, Paul Schattan, Alessandro Zandonai, Claudia Notarnicola

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Examining Nasdaq Market Data and Presenting an Optimized Model by Extreme Gradient Boosting Regression and Artificial Bee Colony by Ali Ahmadpour

“…These outcomes underscore the effectiveness of combining machine learning with nature-inspired optimization algorithms to produce more accurate stock price forecasts. …”
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Software complex for simulation modelling of single nucleotide genetic polymorphism sites by M. M. Yatskou, D. D. Sarnatski, V. V. Skakun, V. V. Grinev

“…The performance of the developed software complex was tested on sets of simulated and experimental data from human cell genomic sequencing. A comparative analysis of the most effective algorithms for identifying single nucleotide polymorphism sites was performed. …”
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Preoperative Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma Using Machine Learning-Based Ultrasomics by Li Y, Duan S, Ren S, Li D, Ma Y, Bu D, Liu Y, Li X, Cai X, Zhang L

“…The performance of the models in the preoperative prediction of MTM-HCC was evaluated on the test set using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy.Results: The ultrasomics models and the combined models of the five algorithms were effective in predicting MTM-HCC, and the combined models have improved AUC after adding clinical features compared with the ultrasomics model in the test set. …”
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Lantern-Explorer: A Collision-Avoidance Autonomous Exploration Drone System Based on Laser SLAM with Optimized Hardware and Software by L. Zhu, L. Zhu, R. Zhong, R. Zhong, D. Xie, D. Xie, X. Yuan, X. Yuan

“…Additionally, we proposed the improved omnidirectional LiDAR perception algorithm, FUEL-360, for autonomous exploration. This algorithm, based on the LiDAR FOV model, optimizes the strategy for detecting unknown frontiers, improving the efficiency of boundary extraction and viewpoint generation. …”
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Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter by Bagus Setya Rintyarna

“…Most of the sentiment analysis on the Indonesian language Twitter dataset relies on a single machine learning algorithm. This study combines the performance of various algorithms/experts while reducing the level of misclassification by updating the weights dynamically using a joint distribution-based weighted majority vote (WMV) from the Bayesian Network. …”
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Differential cross sections of gamma-ray emission in the interactions of fast neutrons with cadmium by B. M. Bondar, V. M. Bondar, O. M. Gorbachenko, I. M. Kadenko, B. Yu. Leshchenko, Yu. M. Onishchuk, V. A. Plujko

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Protocol for a randomized and a non-randomized controlled trial testing Daily Growth: a personalised ‘ecological momentary intervention’ parenting app for parents and carers of chi... by Elizabeth M. Westrupp, Maria Bates, Kelsie J. Bufton, Tomer B. Berkowitz, Melody Popple, Gabriella L. King, Sara Jones, Jem Stone, Joost J. C. Funke Kupper, John W. Toumbourou, Chandan Karmakar, Sophie S. Havighurst, Christiane E. Kehoe, Maia Angelova, Melissa O’Shea, Leslie Tarrant, Lisa S. Olive, Subhadra Evans, Stefanie Ewald, Julia M. Mikocka, Keri Little, Kylie D. Hesketh, Matthew Fuller-Tyszkiewicz

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Target determination for transcranial magnetic stimulation in patients with a pharmacotherapy-resistant depressive episode based on the individual parameters of resting-state funct... by A. G. Poydasheva, D. O. Sinitsyn, I. S. Bakulin, N. A. Suponeva, N. V. Maslennikov, E. E. Tsukarzi, S. N. Mosolov, M. A. Piradov

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Impact of obesity on echocardiographic parameters and N-terminal pro-brain natriuretic peptide levels in patients with heart failure with mid-range ejection fraction: unanswered qu... by E. A. Lyasnikova, A. A. Kuular, A. V. Pavlovskaya, A. N. Vlasenko, A. V. Kozlenok, A. Yu. Babenko, M. Yu. Sitnikova, E. V. Shlyakhto

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Polarisation Synthesis Applied to 3D Polarimetric Imaging for Enhanced Buried Object Detection and Identification by Samuel J. I. Forster, Anthony J. Peyton, Frank J. W. Podd, Nigel Davidson

“…These challenges can be mitigated by developing more versatile systems and algorithms to enhance detection and identification. …”
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Advanced predictive analytics for bio-waste management using YOLOv8-SPP to enhance waste prediction and sustainability in smart cities by Selvalakshmi Balasubramanium, Bharathiraja Nagu, Shonak Bansal, Mohammad Rashed Iqbal Faruque, Kholoud Saad Al-mugren

“…Effective bio-waste management involves value addition and conversion processes to enable the utilization of municipal biological waste as low-carbon energy sources. This research suggests a new predictive analytics model using the YOLOv8-SPP algorithm for improved waste management. …”
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GIS partial discharge fault diagnosis method based on SGMD-LSTM by Zhang Yun, Zhang Chao, Zhang Shiyong, Ma Pengchi, Yang Guang, Ding Hao

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