A Hybrid Methodology of Data Science and Decision Making Techniques: Lessons from COVID-19 Pandemic Management by mehdi dadehbeigi, ali taherinezhad, alireza alinezhad

“…Data Envelopment Analysis (DEA) is a tool that aids managers in measuring the efficiency of the units under their supervision. Another challenge for managers involves selecting and ranking options based on specific criteria. …”
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Designing Supplementary Controller With Thyristor-Controlled Series Capacitor for Enhancing Inertia-Sharing Capability by Thongchart Kerdphol

“…Unlike conventional strategies that rely on deploying additional energy storage systems or distributed virtual inertia units, the proposed method utilizes existing transmission infrastructure, thereby reducing implementation complexity and cost. The efficacy of the proposed control strategy is assessed using a benchmark interconnected model configured to reflect practical multi-area dynamics and intertie constraints. …”
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Deep learning-based prediction of multi-level just noticeable distortion by Haifeng XU, Hongkui WANG, Haibing YIN, Chuqiao CHEN

“…Visual just noticeable distortion (JND) directly reflects the sensitivity of the human visual system to visual signal noise, and is widely used in image and video processing.Aiming at the multilevel prediction problem of video JND threshold, it was transformed into the prediction problem of satisfied user ratio (SUR) curve, and a feature fusion-based SUR curve prediction model was proposed.The model was mainly divided into key frame extraction module, feature extraction and fusion module, and SUR score regression module.In the key frame extraction module, according to the visual perception mechanism, the spatial-temporal domain perception complexity was proposed and used as the video key frame judgment index.In the feature extraction and fusion module, a multi-scale dense residual network was proposed based on dense residual block (RDB) to realize image feature extraction and multi-scale fusion.The experimental results show that the proposed SUR curve prediction model is overall better than the existing models in terms of JND prediction accuracy and reduces the time cost by 8.1% on average in terms of operational efficiency.Meanwhile, the model can also be used to predict other layers of JND thresholds, which can be directly applied to video multilevel perceptual coding optimization.…”
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On the Issue of Practical Orientation of Teaching Students of Technical Universities the Basics of Descriptive Geometry by L. G. Polyakov, T. D. Polyakova

“…One of the ways to improve the efficiency of learning disciplines is to link theory with practice. …”
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STVMamba: precipitation nowcasting with spatiotemporal prediction model by Maoyang Zou, Longrui Wen, Yuanyuan Huang, Yuan He, Jingzhong Xiao

“…STVMamba achieves high parallel computational efficiency, operates with linear time complexity, and excels at modeling long-range dependencies, overcoming the shortcomings of previous deep learning methods. …”
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Identification of Potential Inhibitors of Histone Deacetylase 6 Through Virtual Screening and Molecular Dynamics Simulation Approach: Implications in Neurodegenerative Diseases by Anas Shamsi, Moyad Shahwan, Azna Zuberi, Nojood Altwaijry

“…Selective inhibitors have thus been the focus of development over the past decade, though no selective and potent HDAC6 inhibitor has yet been approved. …”
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Thinned Virtual Array for Cramer Rao Bound Optimization in MIMO Radar by Xia Li, Buhong Wang

“…As an important performance indicator of DOA estimation, Cramer–Rao Bound (CRB) is closely connected to the array configuration of the system. To reduce the complexity of the system and improve CRB performance at the same time, in this paper, the virtual array of MIMO radar is designed directly by selecting outputs from matched filters at the receive side. …”
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Algorithm for solution of multicriterion problem of production planning of pipes and shaped products by K. V. Zakharchenkov, Zh. A. Mrochek, T. V. Mrochek

“…One of the modern directions of increase in economic efficiency of the enterprise is a production planning automation, including the automated scheduling of production. …”
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Households willingness to pay for improved solid waste management by S. Akhtar, A.S. Ahmad, M.I. Qureshi, S. Shahraz

“…Economic development, urbanization and improved living standards in cities have contributed to increase in the amount and complexity of solid waste produced. The present study was conducted in the residential area of main Boulevard Gulberg, Lahore to determine the present methods and efficiency of current solid waste management facility and to estimate the willingness of the selected households to pay for the improvement of solid waste management through questionnaire survey. …”
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A Novel Adaptive Independent Component Analysis Method for Multi-Channel Optically Pumped Magnetometers’ Magnetocardiography Signals by Shuang Liang, Jiahe Qi, Junhuai He, Yikang Jia, Aimin Wang, Ting Zhao, Chaoliang Wei, Hongchen Jiao, Lishuang Feng, Heping Cheng

“…With the gradual maturation of optically pumped magnetometer (OPM) technology, the use of OPMs to acquire weak magnetocardiography (MCG) signals has started to gain widespread application. Due to the complexity of magnetic environments, MCG signals are often subject to interference from various unknown sources. …”
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Dosimetric comparison of VMAT plans in preoperative short-course rectal radiotherapy by Qiong Zhou, Qi Wang, Yongwu Li, Chong Shen, Xiaonan Sun

“…We assessed SCRT plans using volumetric-modulated arc therapy (VMAT) with Halcyon and Infinity medical linear accelerators (Linacs) and compared the plan quality and delivery efficiency across all cases. Thirty patients who underwent preoperative SCRT for LARC at the hospital were randomly selected. …”
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Evaluation of Intrusion Detection Systems in Cyber Security using Fuzzy OffLogic and MCDM Approach by Zhengrui Yang

“…In this study, thirteen widely used IDS models are assessed using a multi-criteria evaluation framework across four key dimensions: detection accuracy, resource efficiency, scalability, and false positive rate. The goal is to support informed, datadriven decision-making for stakeholders such as policymakers, IT administrators, and security analysts when selecting an appropriate IDS. …”
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Improved SLM algorithm for PAPR reduction in OFDM system by Ce JI, Wenjing ZHU, Ying WEI, Dianxia JIA

“…In order to reduce the peak to average power ratio (PAPR) of the conventional selective mapping (SLM) algorithm,decrease the transmission of side-band information,and improve the spectral efficiency in the orthogonal frequency division multiplexing (OFDM) system,the TL-SLM algorithm based on the conversion matrix and the chaotic sequence was proposed firstly.Although the TL-SLM algorithm could effectively decrease the transmission of side-band information,the reduction of PA P R was limited.To solve this problem,an improved TL-SLM algorithm based on the rotation vector was proposed,which was the TR-SLM algorithm.TR-SLM algorithm introduced the rotation vector to generate more time-domain alternative signals to further reducing the PA P R.The performance analysis shows that although the TL-SLM algorithm and the TR-SLM algorithm increase the complexity a little,the PA P R performance is effectively improved and the transmission of side-band information is greatly reduced.…”
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A Comprehensive Evaluation of Land Reclamation Effectiveness in Mining Areas: An Integrated Assessment of Soil, Vegetation, and Ecological Conditions by Yanjie Tang, Yanling Zhao, Zhibin Li, Meichen He, Yueming Sun, Zhen Hong, He Ren

“…Land reclamation is crucial for restoring ecosystems in mining areas, improving land use efficiency, and promoting sustainable regional development. …”
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Early Warning for the Construction Safety Risk of Bridge Projects Using a RS-SSA-LSSVM Model by Gang Li, Ruijiang Ran, Jun Fang, Hao Peng, Shengmin Wang

“…This overcame the problem of multiple early warning factors and reduced the complexity of the subsequent prediction model. Then, the LSSVM with the strongest nonlinear modelling ability was selected to build the bridge construction early-warning model and adopted the SSA to optimize the LSSVM parameter combination, improving the early warning accuracy. …”
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Designing a Model for Enhancing Appropriate Organizational Culture in Educational and Medical Centers by Fariba Ansari, Yousef Namvar, Azam Rastgoo, Tooran Soleimani

“…Introduction: Organizational culture is a key factor in improving service quality, increasing patient satisfaction, and enhancing organizational efficiency in educational and medical centers. The present study aimed to design a comprehensive model for enhancing the organizational culture in such institutions, considering the complexity of these centers and the pivotal role of culture in their performance. …”
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On the Influence of PV Cell and Diode Configurations on the Performance of a CPVT Collector: A Comparative Analysis by João Gomes, Juan Pablo Santana, Damu Murali, George Pius, Iván P. Acosta-Pazmiño

“…Concentrating photovoltaic-thermal (CPVT) collectors use reflective surfaces to focus sunlight onto a smaller receiver area, increasing thermal energy output while maintaining annual energy efficiency. …”
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Generalized Singular Value Decomposition-Based Secure Beam Hybrid Precoding for Millimeter Wave Massive Multiple-Input Multiple-Output Systems by Boqing Chen, Lijun Yang, Meng Wu

“…In a hybrid precoding system, the low-complexity GSVD-Sparsity algorithm can achieve a spectral efficiency close to that of the GSVD-based scheme in a fully digital system while maintaining anti-eavesdropping capabilities.…”
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The Equal-Time Waypoint Method: A Multi-AUV Path Planning Approach That Is Based on Velocity Variation by Chenxin Yin, Kai Shi, Hailong Wang

“…In collaborative operations of multiple autonomous underwater vehicles (AUVs), the complexity of underwater environments and limited onboard energy make environmental adaptation and energy efficiency critical metrics for evaluating path quality. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…And the research method can effectively evaluate the status of wind energy resources, with low time complexity at different data scales, taking no more than 5 seconds, and improving operational efficiency. …”
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