Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane, Daniel Maposa

“…Future research could focus on enhancing prediction accuracy through hybrid algorithms and incorporating additional meteorological variables. …”
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Tuberculosis Preventive Treatment (TPT) in India: A Qualitative Review by Jay Patel, Abhishek Sen, Sandeep Rai, Harsh Shah, Nisarg Desai

“…The integration of TB infection algorithm in existing TB diagnostic and treatment algorithms and comprehensive active case findings could result in positive outcome in reduction of TB, advancing India’s goal of TB elimination.…”
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Research on business oriented 5G base station energy saving system based on AI deep learning by Mengqiang XU

“…Due to the needs of 5G business development, the number of 5G base stations has increased, resulting in a sharp increase in the electricity cost of operators.Energy saving and consumption reduction has become the sustainable development demand of operators.Based on the research of mainstream 5G base station energy-saving mode and multi-directional 5G energy-saving scheme, a 5G base station energy-saving system based on a variety of AI algorithms was proposed.Through the high-precision service identification at the level of single SIM card, the best strategy of 5G base station flexible energy-saving was realized on the basis of ensuring the stable operation of 5G important services and other types of services.…”
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An Axial Compression Transformer for Efficient Human Pose Estimation by Wen Tan, Haixiang Zhang, Xinyi Song

“…In the COCO dataset experiment, there was a significant reduction in computational cost compared to those of state-of-the-art transformer-based algorithms.…”
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scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis. by Wei Lan, Tongsheng Ling, Qingfeng Chen, Ruiqing Zheng, Min Li, Yi Pan

“…The scMoMtF can simultaneously solve multiple key tasks of single-cell multi-omics data including dimension reduction, cell classification and data simulation. …”
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Research on business oriented 5G base station energy saving system based on AI deep learning by Mengqiang XU

“…Due to the needs of 5G business development, the number of 5G base stations has increased, resulting in a sharp increase in the electricity cost of operators.Energy saving and consumption reduction has become the sustainable development demand of operators.Based on the research of mainstream 5G base station energy-saving mode and multi-directional 5G energy-saving scheme, a 5G base station energy-saving system based on a variety of AI algorithms was proposed.Through the high-precision service identification at the level of single SIM card, the best strategy of 5G base station flexible energy-saving was realized on the basis of ensuring the stable operation of 5G important services and other types of services.…”
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Statistical Analysis of Haralick Texture Features to Discriminate Lung Abnormalities by Nourhan Zayed, Heba A. Elnemr

“…The CT images are first preprocessed for noise reduction and image enhancement, followed by segmentation techniques to segment the lungs, and finally Haralick texture features to detect the type of the abnormality within the lungs. …”
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Research Progress on Reducing Metal Artifacts in CT Imaging by Danyang SU, Ping HOU, Haoran ZHANG, Yuanbo MA, Jinlong LIU, Xiaopeng YANG

“…With the development of CT, metal artifact reduction technology and virtual monoenergetic imaging technology are helpful to reduce metal artifacts in CT imaging. …”
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Quantum state preparation via piecewise QSVT by Oliver O'Brien, Christoph Sünderhauf

“…Efficient state preparation is essential for implementing efficient quantum algorithms. Whilst several techniques for low-cost state preparation exist, this work facilitates further classes of states, whose amplitudes are well approximated by piecewise polynomials. …”
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Anomaly detection of large scale network based on data streams by ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong

“…The anomaly detection algorithms of the large scale network（LSN） were required to analysis the vast network traffic of G bit level in real-time and on-the-fly.A novel monitoring mechanism of LSN anomaly detection based on the data stream approach was proposed.The main contributions included: the sketch data structure and the frequent sketch algorithm of data streams were designed for anomaly detection of LSN.Optimized query methods were designed for customizing the security monitoring and detection policy with the correlations of multi data streams.The data reduction was proposed to make it possible that the whole network traffic character could be got using a few of special data streams.The experiments of the real networking environments validate the effectivity of LSN anomaly detection methods.…”
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Treatment response rate and life prognosis at autoimmune liver diseases by K. V. Ivashkin, Ye. N. Shirokova, V. T. Ivashkin

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Hybrid modeling of structure extension and instance weighting for naive Bayes by Yu Liangjun, Wang Di, Zhou Xian, Wu Xiaomin

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Sparse transformer and multipath decision tree: a novel approach for efficient brain tumor classification by Pengcheng Li, Yuqi Jin, Monan Wang, Fengjie Liu

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Thermal Conductivity Characteristics of Thermal Insulation Materials Immersed in Water for Cold-Region Tunnels by Youyun Li, Yongmei Sun, Yuan Zhuang, LiMin Duan, Ke Xie

“…The correlation between gray volume moisture content and mass moisture content is determined by comparing different algorithms of gray volume moisture content and volume moisture content. …”
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Automated Text Structuring: Natural Language Processing and Regular Expressions in XML Tag Filling by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

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Detecting Covid-19 Fake News on Twitter/X in French: Deceptive Writing Strategies by Ming Ming Chiu, Alex Morakhovski, Zhan Wang, Jeong-Nam Kim

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Results of the study of source conditions indicative factors of parodontal status and local immunity of oral cavity besides flying personnel of the civil aviation by G. G. Ashurov, M. K. Shokirov, S. M. Karimov

“…At study of immunological conditions of oral cavity besides flying personnel of IV group revealed reduction of lysosome activity and increasing of immunoglobulin level that is indicative of reduction humeral protection of oral cavity.CONCLUSION. …”
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Robust Monocular Visual-Inertial Odometry for Agricultural Vehicles Based on IMU-Augmented 3D Feature Point Correction by Quoc Duy Tran, Quoc Hung Hoang, Gon-Woo Kim

“…The effectiveness of the method is validated through real-time experiments across various scenarios, with the proposed system achieving approximately an 80% reduction in translation error and about a 60% reduction in rotation error compared to state-of-the-art methods. …”
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Allocation of Interline Power Flow Controller-Based Congestion Management in Deregulated Power System by Muhammad Safdar Sial, Qinghua Fu, Talles Vianna Brugni

“…By examining the obtained results, the performance of the proposed algorithm is better than the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms. …”
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Fusion-Based Localization System Integrating UWB, IMU, and Vision by Zhongliang Deng, Haiming Luo, Xiangchuan Gao, Peijia Liu

“…Furthermore, compared with the UWB/IMU fusion model, the proposed method achieves a 50.0% reduction in RMSE and a 59.1% reduction in maximum error.…”
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