Research on Optimization of Railway Obstacle Detection Model Based on Neural Architecture Search by YAO Weiwei, LYU Yu, ZHANG Huiyuan, XIONG Minjun, DONG Wenbo, LI Chen

“…The subsequent utilization of a zero-cost neural architecture search algorithm allows for quickly predicting the practical performance of various architectures, without the need for tedious and time-consuming actual training. …”
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A Dynamic Short-Turning Bus Control for Uncertain Demand by Hu Zhang, Shuzhi Zhao, Huasheng Liu, Jin Li

“…An unfixed rolling horizon was implemented to choose the best dynamic approach. Real-time control predicts two discrete variables (arrival time and bus position) and determines the space-time point of buses. …”
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Research on Online Defect Detection Method of Solar Cell Component Based on Lightweight Convolutional Neural Network by Huaiguang Liu, Wancheng Ding, Qianwen Huang, Li Fang

“…Secondly, in order to detect the defects with small size or weak edges in the silicon wafer, an improved lightweight CNN model with deep backbone feature extraction network structure was proposed, as the enhancing feature fusion layer and the three-scale feature prediction layer; the model provided more feature detail. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALISED MEDICINE: ADVANCEMENTS, CHALLENGES, AND FUTURE PERSPECTIVES by Ioana-Marcela PĂCURARU, Ciprian-Sorin CHIRVASE, Ştefan-Ioan TIRITEU

“…However, critical challenges such as algorithm transparency, bias mitigation, and patient data security continue to hinder widespread AI adoption in healthcare.…”
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Thermal radiation and diffusion effects on MHD sisko fluid flow over a nonlinearly stretchable porous sheet by V. Adilakshmi, Ali Akgül, G. Venkata Ramana Reddy, Murad Khan Hassani

“…For example, elevating the Sisko parameter from 1.0 to 2.0 propels the velocity profile upward by approximately 20%, while the temperature and concentration profiles witness reductions of 10% and 8%, respectively. Moreover, escalating values of the power-law exponent and the nonlinear stretching coefficient contribute to a decline in velocity, temperature, and concentration. …”
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Traffic safety evaluation of emerging mixed traffic flow at freeway merging area considering driving behavior by Yaqin He, Dingshan Xiang, Daobin Wang

“…The results indicated that a low AV penetration rate (< 20%) did not enhance mixed traffic safety, However, when the AV penetration rate exceeded 20%, safety improved, as evidenced by reductions in the conflict rate, time to collision (TTC) frequency, lane change time to collision (LCTTC) frequency and conflict severity. …”
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Control Optimization of Steam Boilers via Reinforcement Learning by Emmanuel Okafor, Maad Alowaifeer

“…Furthermore, a novel nonlinear settling time algorithm is introduced to accurately assess transient responses in complex signals, addressing the limitations of conventional methods. …”
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Impact of EU Laws on AI Adoption in Smart Grids: A Review of Regulatory Barriers, Technological Challenges, and Stakeholder Benefits by Bo Nørregaard Jørgensen, Saraswathy Shamini Gunasekaran, Zheng Grace Ma

“…The analysis delves into regulatory barriers such as data protection requirements, algorithmic transparency mandates, and liability concerns that can limit the scope and scale of AI deployment. …”
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Government responses and COVID-19 deaths: Global evidence across multiple pandemic waves. by Thomas Hale, Noam Angrist, Andrew J Hale, Beatriz Kira, Saptarshi Majumdar, Anna Petherick, Toby Phillips, Devi Sridhar, Robin N Thompson, Samuel Webster, Yuxi Zhang

“…Countries were divided into successive waves via a mathematical algorithm to identify peaks and troughs of disease. …”
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Generative Design-Driven Optimization for Effective Concrete Structural Systems by Hossam Wefki, Mona Salah, Emad Elbeltagi, Majed Alinizzi

“…This research introduces a parametric algorithmic model for the automated optimization of RC buildings with solid slab systems. …”
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Assessing the Impact of Climate Change on Winter Wheat Production in the North China Plain from 1980 to 2020 by Jinhui Zheng, Shuai Zhang

“…This study uses the Random Forest (RF) algorithm to evaluate the effects of climate change on winter wheat yields in the North China Plain (1980–2020) and assess yield sensitivity to various climate indicators. …”
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Identification of serum tRNA-derived small RNAs biosignature for diagnosis of tuberculosis by Zikun Huang, Qing Luo, Cuifen Xiong, Haiyan Zhu, Chao Yu, Jianqing Xu, Yiping Peng, Junming Li, Aiping Le

“…The accuracy of the three-tsRNA biosignature for TB diagnosis was evaluated in the training (n = 289), test (n = 124), and prediction (n = 292) groups. By utilizing cross-validation with a random forest algorithm approach, the training cohort achieved a sensitivity of 100% and specificity of 100%. …”
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Linking dietary fiber to human malady through cumulative profiling of microbiota disturbance by Xin Zhang, Huan Liu, Yu Li, Yanlong Wen, Tianxin Xu, Chen Chen, Shuxia Hao, Jielun Hu, Shaoping Nie, Fei Gao, Gengjie Jia

“…Here, we focused on microbiota disturbance as a robust index to mitigate various confounding factors and developed the Bio‐taxonomic Hierarchy Weighted Aggregation (BHWA) algorithm to integrate multi‐taxonomy microbiota disturbance data, thereby illuminating the complex relationships among dietary fiber, microbiota, and disease. …”
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Screening for MicroRNA combination with engineered exosomes as a new tool against osteosarcoma in elderly patients by Jiyu Han, Jiyu Han, Zitong Zhao, Yanhong Wang, Yanhong Wang, Tao Yu, Daqian Wan, Daqian Wan

“…Next, we used FunRich software to predict the up-stream transcription factors (TFs) of differentially expressed miRNAs (DE-miRNAs). …”
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Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks by Wojciech Galka, Jan G. Bazan, Urszula Bentkowska, Kamil Szwed, Marcin Mrukowicz, Pawel Drygas, Lech Zareba, Marcin Szpyrka, Piotr Suszalski, Sebastian Obara

“…Aggregation functions are employed to integrate the prediction values of classification models applied in the email phishing problem. …”
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Construction and interpretation of tobacco leaf position discrimination model based on interpretable machine learning by Ranran Kou, Cong Wang, Jinxia Liu, Ran Wan, Zhe Jin, Le Zhao, Youjie Liu, Junwei Guo, Feng Li, Hongbo Wang, Song Yang, Cong Nie

“…In recent years, near-infrared (NIR) spectroscopy combined with algorithmic models has emerged as a popular method for identifying the tobacco leaf position. …”
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Interaction between the assembly of the ribosomal subunits: Disruption of 40S ribosomal assembly causes accumulation of extra-ribosomal 60S ribosomal protein uL18/L5. by Nusrat Rahman, Md Shamsuzzaman, Lasse Lindahl

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Elevated plasma angiotensin converting enzyme 2 activity is an independent predictor of major adverse cardiac events in patients with obstructive coronary artery disease. by Jay Ramchand, Sheila K Patel, Piyush M Srivastava, Omar Farouque, Louise M Burrell

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Detection of Apple Sucrose Concentration Based on Fluorescence Hyperspectral Image System and Machine Learning by Chunyi Zhan, Hongyi Mao, Rongsheng Fan, Tanggui He, Rui Qing, Wenliang Zhang, Yi Lin, Kunyu Li, Lei Wang, Tie’en Xia, Youli Wu, Zhiliang Kang

“…This study used FHIS combined with machine learning (ML) to predict SC at the apple’s equatorial position. Primary features were extracted using variable importance projection (VIP), the successive projection algorithm (SPA), and extreme gradient boosting (XGBoost). …”
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Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification by Sylvio Barbon, Ana Paula Ayub da Costa Barbon, Rafael Gomes Mantovani, Douglas Fernandes Barbin

“…Determining wavelengths relevance and selecting subsets for classification and prediction models are mandatory for the development of multispectral systems. …”
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