Estimating a Finite Population Mean Using Transformed Data in Presence of Random Nonresponse by Nelson Kiprono Bii, Christopher Ouma Onyango, John Odhiambo

“…Developing finite population estimators of parameters such as mean, variance, and asymptotic mean squared error has been one of the core objectives of sample survey theory and practice. …”
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Ultimate Axial Strength of Concrete-Filled Double Skin Steel Tubular Column Sections by S. İpek, E. M. Güneyisi

“…Assessment of the obtained results indicated that the generated model had a good performance compared to the existing models by the previous researchers and the equations specified in the design codes. …”
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Design of distributed implementation and performance analysis of asymptotic optimality for cooperative two-way relaying networks by LI Chun-guo1, ZHONG Chong-xian2, YANG Lv-xi1, PAN Yue3

“…The realization scheme in the distributed manner was researched for the cooperation transmission of the multi-ple two-way relays,moreover the performance analysis of the asymptotic optimality was also presented.First of all,an upper-bound function was obtained for the true value of the average mean squared error of the whole system by the SNR approximations.Furthermore,a mathematical model was established based on this bound function.Secondly,an optimal solution was obtained for the established problem by using the matrix transform and mathematical derivations.Finally,the realization scheme was obtained in the distributed manner.The proposed scheme avoided the strict requirement that every relay must know the full channel state information（CSI） of the whole networks,while can easily achieve the gain of the relays cooperation by requiring every relay know its local CSI consisted of its forward and backward CSI.There-fore,the proposed scheme not only avoided the central control as required by the central manner and the large amount of the feedback overheads,but also achieved much gain.Theory analysis shows that the proposed scheme is asymptotically optimal.…”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…The high accuracy and low error rate underscore the potential of this system to be a valuable tool in mitigating the risks associated with forest fires, ultimately contributing to the preservation of natural ecosystems.…”
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Theoretical Correction of Viscosity Coefficient Measurement by Falling Ball Method by Ruiqi Wang, Qingyu Zhang, Shihan Xu, Liyuan Cui, Haonan Jiang

“…The relationship between displacement and time is consistent with the theoretical prediction, and the room mean square error of the two is 0.065. Based on them, this method can be widely used in scientific researches and teaching practices.…”
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Reservoir controllers design though robot-reservoir timescale alignment by Fan Ye, Arsen Abdulali, Kai-Fung Chu, Xiaoping Zhang, Fumiya Iida

“…However, developing and testing the reservoir controller relies on repetitive experiments that require researchers’ proficiency in both robot and reservoir design. …”
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Analysis of the Load Sharing Characteristic of Compound Planetary Gear Set Under the Common Impact of Internal and External Excitation by Chao Yang, Haibo Zhang, Huijuan Zhu, Liping Feng

“…Current researches on load sharing characteristic concentrate on fluctuation of load sharing under the condition of single factor changing， which results in a poor comprehension on the load sharing behavior under the condition of multi-factors changing together，that’s to say， it’s difficult to find the most essential excitation among multi-factors affecting load sharing behavior，to improve the load sharing characteristic efficiently. …”
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Raman evaluation of graphene oxide dispersed in naphthenic oil by ALAN PASSERO, TAYNARA A. DE CARVALHO, NATALIA B. SANCHES, LIDIA M.S. MURAKAMI, JORGE CARLOS N. DUTRA, RITA DE CÁSSIA L. DUTRA

“…The results contribute to the state of the art of researching industrial aerospace solutions for polymeric systems containing graphene oxide.…”
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Assessing impacts of economic and municipality factors on building construction duration using ensemble categorical boosting by Farshad Peiman, Mohammad Khalilzadeh, Nasser Shahsavari-Pour, Mehdi Ravanshadnia

“…Abstract In addition to the need to increase the accuracy of models, there is a lack of consensus among researchers about considering factors of external economic in duration prediction models. …”
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Evaluating the Influence of Environmental Factors and Parameters on Advancements in Welding and Joining Processes: A Review by Sudarno Sudarno, Quang Thang Do, Haris Nubli, Dandun Mahesa Prabowoputra, Nur Candra Dana Agusti, Ridwan Ridwan, Anggi Vandika

“…This review consolidates knowledge from diverse sources, making it a valuable resource for researchers, practitioners, and industries involved in welding.…”
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Robust security transmission design for multi-user peer-to-peer wireless relay networks by Dongmei Yang, Hongjun Li, Baoquan Ren, Xudong Zhong

“…Although the previous researches have designed the physical-layer security schemes under perfect channel state information, this study focuses on investigating the robust transmission design in the presence of a passive eavesdropper. …”
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Optimizing Goods Placement in Logistics Transportation using Machine Learning Algorithms based on Delivery Data by Moh Husnus Syawab, Yunifa Miftachul Arief, Fresy Nugroho, Ririen Kusumawati, Cahyo Crysdian, Agung Teguh Wibowo Almais

“…To evaluate the effectiveness of the KNN method, the researcher compared it with the Support Vector Machine (SVM) method. …”
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Influence of polypropylene masterbatch modified with silver nanoparticles additions on the mechanical and electromechanical properties of cementitious composites by Barış Şimşek, Tayfun Uygunoğlu, Uğur Fidan

“…Polymer composites have long been a subject of interest to researchers due to their ability to offer distinctive advantages in design, flexibility, mechanical properties, and piezoelectric properties to structures. …”
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Causal relationship between income inequality and economic growth in Ethiopia by Mihret Wolde, Leta Sera, Tesfaye Melaku Merra

“…The researcher concluded that there is a negative relationship between income inequality and economic growth in the long run. …”
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The dual-edged potential of AI autonomously defining loss functions by Abbas Ghori

“…This review, integrating theoretical insight with practical implications, will help to better equip researchers and practitioners in choosing the appropriate loss function for their work, thereby serve the goal of developing more autonomous and efficient applications.…”
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Distribution Ratio Prediction of Major Components in 30%TBP/kerosene-HNO3 System Based on Machine Learning by YU Ting1, ZHANG Yinyin2, ZHANG Ruizhi3, JIN Wenlei2, LUO Yingting2, ZHU Shengfeng3, HE Hui1, YE Guoan1, GONG Helin4

“…The average absolute relative error (AARE) of uranium distribution ratio prediction reaches 7.73%, which is about 7% higher than that of the traditional model. …”

Subject Review: Design of Gating and Risering Systems in Sand Molds by Ahmad Al-Ramahi

“…Therefore, the paper is written in Arabic to be available for the maximum number of researchers, engineers, and other interested people. …”
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Assessment of tensile and fatigue behavior of PEEK in a physiologically relevant environment by Mirco Peron, Jan Torgersen, Filippo Berto

“…In the last decades the necessity of implant devices is continuously increasing. The researchers have thus focused their attentions on the development of new biocompatible materials, in particular polymers. …”
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An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting by Haipeng Zhang, Hua Luo

“…However, as wind is irregular, nonlinear, and nonstationary, to accurately predict wind speed is a difficult task. To this end, researchers have made many attempts; however, they often use only point forecasting or interval forecasting, resulting in imperfect prediction results. …”
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A Car-Following Model considering the Effect of Following Vehicles under the Framework of Physics-Informed Deep Learning by Le Xu, Jianxiao Ma, Yuchen Wang

“…Car-following models have been studied for a long time, and many traffic engineers and researchers have devoted attention to them. With the increase in machine learning, this paper proposes a fusion model based on the physics-informed deep learning framework. …”
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