Generalized robust regression techniques and adaptive cluster sampling for efficient estimation of population mean in case of rare and clustered populations by Mir Subzar, Taghreed Alqurashi, Deeksha Chandawat, Shahid Tamboli, T. A. Raja, Amit Kumar Attri, Shahid Ahmad Wani

“…Abstract Situations when field researchers are tempted to deviate from preselected sampling plan and to include nearby or related units in sample, then adaptive cluster sampling (ACS) offers a nearly completion solution. …”
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Computation of separate ratio and regression estimator under Neutrosophic stratified sampling: an application to climate data by Abhishek Singh, Hemant Kulkarni, Florentin Smarandache, Gajendra Vishwakarma

“…We have conducted a thorough analysis to estimate these newly proposed estimators' bias and Mean Square Error (MSE) up to the first-order approximation. …”
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PSO-optimised autoencoder for fault prediction in wind turbine planet carrier bearing by Samuel M. Gbashi, Obafemi O. Olatunji, Paul A. Adedeji, Nkosinathi Madushele

“…This research determines the most effective threshold for the fault diagnostic model through an innovative sequential threshold exploration approach. …”
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Method to Improve the Equatorial Components of Effective Angular Momentum Forecasts Based on Real Environments by Wei Miao, Xueqing Xu, Yonghong Zhou, Cancan Xu

“…Building on Dill et al. (2021), https://doi.org/10.1029/2021ea002070, who identified systematic errors in the motion terms of atmospheric angular momentum (AAM), we discovered additional systematic errors in mass and motion terms of forecasts for the AAM, oceanic angular momentum (OAM) and hydrologic angular momentum (HAM), and promptly implemented corrections following their updates. …”
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IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA by Andjani Ayu Cahaya Tanjung, Dewi Retno Sari Saputro, Nughthoh Arfawi Kurdhi

“…BiGRU comprises two GRU layers so it captures sequences that are ignored by the GRU. The research data is in the form of CPI data in Indonesia from January 2006 to December 2022 sourced from the website of the Central Bureau of Statistics totaling 204 data. …”
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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

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An Innovative Applied Control System of Helicopter Turboshaft Engines Based on Neuro-Fuzzy Networks by Serhii Vladov, Oleksii Lytvynov, Victoria Vysotska, Viktor Vasylenko, Petro Pukach, Myroslava Vovk

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Effectiveness of Multicomponent Balance Training and Sensorimotor Foot Mobilization on Postural Stability in Patients Following Brain Tumor Surgery by Natasa Kos, Marusa Brcar, Marko Brcar, Tomaz Velnar

“…We recommend its use in early rehabilitation, although further research is necessary.…”
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Design of Computer Numerical Control System for Fiber Placement Machine Based on Siemens 840D sl by Kun Xia, Di Zhao, Qingqing Yuan, Jingxia Wang, Aodong Shen

“…This research provides a technical framework for the design of multi-axis cooperative control systems and thermal error compensation in automated fiber placement equipment, offering critical insights for advancing manufacturing technologies in aerospace composite applications. …”
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Optimization of signal constellations with amplitude-phase shift keying in communication channels with non-fluctuating interference by Gennady V. Kulikov, Xuan Kh. Dang, Andrey A. Lelyukh

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University proceedings. Volga region. Technical sciences by V.N. Ashanin, A.A. Korotkov

Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS by Lianrong Pan, Xiao Yang, Yuan Fu, Yuyang Hu, Shangbin Yuan

“…Aiming at the defects of the existing power dispatching communication system, such as difficult to locate the fault information, low efficiency and poor accuracy, the research first introduces the minimum mean square error detection algorithm, and improves this algorithm. …”
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Development of an Algorithm for Clustering Cardiac ECG Signals with Post-Correction for Long-Term ECG Monitoring by I. A. Kondratyeva, A. S. Krasichkov, O. A. Stancheva, E. Mbazumutima, F. Shikema, E. M.

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Substantial Heritability Underlies Fairness Norm Adaptation Capability and its Neural Basis by Yuening Jin, Dang Zheng, Ruolei Gu, Qingchen Fan, Martin Dietz, Changshuo Wang, Xinying Li, Jie Chen, Yuanyuan Hu, Yuan Zhou

“…Abstract The present research uncovers the shared genetic underpinnings of fairness norm adaptation capability, its neural correlates, and long‐term mental health outcomes. …”
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Devices for express diagnostics of power semiconductor devices and semiconductor converters by E. B. Koroleva, S. M. Kurmashev, K. K. Kim, A. A. Tkachuk, A. A. Kuznetsov

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Understanding episodic memory dynamics: Retrieval and updating mechanisms revealed by fMRI and tDCS by Dong-ni Pan, CuiZhu Lin, Ma Xin, Oliver T. Wolf, Gui Xue, Xuebing Li

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Earthquake Forecasting Based on <i>b</i> Value and Background Seismicity Rate in Yunnan Province, China by Yuchen Zhang, Rui Wang, Haixia Shi, Miao Miao, Jiancang Zhuang, Ying Chang, Changsheng Jiang, Lingyuan Meng, Danning Li, Lifang Liu, Youjin Su, Zhenguo Zhang, Peng Han

“…To assess the effectiveness of the prediction, the Molchan Error Diagram (MED), Probability Gain (PG), and Probability Difference (PD) are employed. …”
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Effects of phase noise on subcarrier modulation performance over Malaga turbulence channel by Xizheng KE, Chenhao WANG, Dan CHEN

“…The performance of wireless optical system employing subcarrier phase-shift keying modulation was researched,which was influenced by phase noise of system demodulator under on Malaga atmospheric turbulence channel.Combined Fourier series and MeijerG function properties,the probability density function of instantaneous signal to noise ratio in the Malaga turbulence model was got.The Fourier series of receiving signal phase and the closed form expression of symbol error probability were derived,which were in the wireless optical subcarrier shift keying modulation system.Under different modulation order and light intensity fluctuation variance,the influence of phase noise on the system symbol error rate was analyzed.The numeric results present that the system symbol error rate increases with the light intensity fluctuation variance when the phase noise is lower.When the phase noise is larger,the influence of modulation order is greater than of turbulence intensity to the error-rate floor appearing.And with the increasing of modulation order,the corresponding average signal to noise is lower when symbol error-rate floor appears.…”
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Software Control of the Movement of a Differential Drive Robot for Different Friction Models by M. S. Salimov, I. V. Merkuryev

“…This error could not be predicted within the framework of the 1st and 2nd models. …”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…Low values of the mean square error (0.0367) and mean absolute error (0.0324) were recorded. …”
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