Acoustic Noise of Induction Motor Drive with Voltage-Source Inverter by Random Space Vector PWM: Simulation and Experimentation Analysis by Bouyahi Henda, Adel Khedher

“…This paper investigates the effect of the fixed and random SVPWM strategies on acoustic noise emitted by an Induction Machine (IM) fed by a three-phase inverter. Simulation results exhibit the validity and efficiency of the RSF_SVPWM strategy to reduce sideband harmonics at different modulation indexes. …”
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Critical gene network and signaling pathway analysis of the extracellular signal-regulated kinase (ERK) pathway in ischemic stroke by Rui Mao, Lei Wang, Haitao Zhang, Jiaojiao Gong, Hua Liu

“…A GSERK-based nomogram demonstrated a strong bootstrap-validated C-index, underscoring its potential for clinical risk stratification.ConclusionThese findings affirm the significance of ERK signaling in ischemic stroke, unveil critical GSERK biomarkers with promising diagnostic and therapeutic implications, and present a novel GSERK-based nomogram for precision risk assessment. …”
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Exploring T-cell metabolism in tuberculosis: development of a diagnostic model using metabolic genes by Shoupeng Ding, Chunxiao Huang, Jinghua Gao, Chun Bi, Yuyang Zhou, Zihan Cai

“…We identified T-cell-associated metabolic differentially expressed genes (TCM–DEGs) through integrated differential expression analysis and machine learning algorithms (XGBoost, SVM–RFE, and Boruta). …”
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Framework Construction and Dynamic Characteristics of Spring Low-Temperature Disasters Affecting Winter Wheat in the Huang-Huai-Hai Region, China by Meixuan Li, Zhiguo Huo, Qianchuan Mi, Lei Zhang, Yi Wang, Rui Kong, Mengyuan Jiang, Fengyin Zhang

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Automated Computer Vision System for Urine Color Detection by Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera

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Efficient management of ubiquitous location information using geospatial grid region name by Daoye Zhu, Min huang, Qifeng Lin, Yanyu Wang, Shuang Li, Chengqi Cheng

“…To evaluate the feasibility and retrieval efficiency of the UMMG, it was applied to mainstream databases and compared with their spatial expansion modules. The experimental results demonstrate that the UMMG effectively addresses the challenge of precise location cognition between humans and machines while also reducing the complexity of spatial database indexing, with an overall performance improvement of 43.00 % compared to Oracle Spatial and 33.30 % compared to PostgreSQL + PostGIS.…”
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Optimizing Energy and Spectral Efficiency in Mobile Networks: A Comprehensive Energy Sustainability Framework for Network Operators by Luis Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, Antonio Rodrigues

“…This paper introduces the Energy Sustainability Framework, which provides a composite index to evaluate the spectral and energy efficiencies of BSs, summarised across four classes: A, B, C, and D. …”
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RF-RFE-SMOTE: A DoS And DDoS Attack Detection Framework by Nora Rashid Najam, Razan Abdulhammed Abduljawad

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Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma by Yanjie Zhong, Antony Stalin, Yushi Dai, Zhiqiang He, Siqi Yang, Ruiqi Zou, Aoqiang Zhai, Fuyu Li, Haijie Hu

“…By analyzing the mean C-index of 101 machine learning models, the optimal model—combining stepwise Cox regression (forward) with RSF—was developed to characterize the immune risk index. …”
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Unveiling diagnostic biomarkers and therapeutic targets in lung adenocarcinoma using bioinformatics and experimental validation by Sixuan Wu, Yuanbin Tang, Qihong Pan, Yaqin Zheng, Yeru Tan, Junfan Pan, Yuehua Li

“…In addition, a machine learning model constructed based on Stepglm[backward] with the random forest algorithm achieved the highest C-index (0.999) and screened eight core genes, among which ST14 was noted for its excellent predictive ability. …”
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High-throughput mesoscopic optical imaging data processing and parsing using differential-guided filtered neural networks by Hong Zhang, Zhikang Lu, Peicong Gong, Shilong Zhang, Xiaoquan Yang, Xiangning Li, Zhao Feng, Anan Li, Chi Xiao

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Intelligent method for supporting decision-making on software security using hybrid models by Оксана Сітнікова, Маргарита Мельник, Олена Сирота, Сергій Семенов

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Microbiome-based prediction of allogeneic hematopoietic stem cell transplantation outcome by Oshrit Shtossel, Adi Eshel, Shalev Fried, Mika Geva, Ivetta Danylesko, Ronit Yerushalmi, Noga Shem-Tov, Joshua A. Fein, Marco Fabbrini, Avichai Shimoni, Sondra Turjeman, Yoram Louzoun, Arnon Nagler, Omry Koren, Roni Shouval

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Preserving Early Neurovascular Responses: The Effect of tACS on the Hemodynamics in Stressed Individuals by M. N. Afzal Khan, Usman Tariq, Yara Badr, Sandra Mary Prasad, Hasan Al-Nashash

“…The findings underscore the therapeutic potential of tACS in modulating early neural responses to stress, providing new insights into non-invasive modulation for cognitive performance and mental well-being.…”
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FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model by Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang

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DEVELOPMENT OF RS-WZ3 SENSOR IN IOT BASED VIBRATION MONITORING SYSTEM by Widyaningrum Indrasari, Catur Anthony Hermanta, Heri Firmansyah

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Digital platforms for state support of the Olympiad process by Anna V. Diachkova, Dmitry E. Kornev

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The Comparison of Activation Functions in Feature Extraction Layer using Sharpen Filter by Oktavia Citra Resmi Rachmawati, Ali Ridho Barakbah, Tita Karlita

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Towards Explainable Anomaly Detection in Safety-critical Systems: Employing FRAM and SpecTRM in International Space Station Telemetry by Shota Iino, Hideki Nomoto, Takashi Fukui, Sayaka Ishizawa, Yohei Yagisawa, Takayuki Hirose, Yasutaka Michiura

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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

“…The graph convolutional architecture is also compared to legacy methods such as random forest and support vector machine providing a complete benchmark. While the pipeline includes a classification module for distinguishing between stroke patients and healthy controls, the focus is on the interpretation of these directed graphs, which reveal critical disruptions in connectivity. …”
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