Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain by Manuel J. García Rodríguez, Vicente Rodríguez Montequín, Francisco Ortega Fernández, Joaquín M. Villanueva Balsera

“…A bidders recommender would be a very beneficial tool because a supplier (company) can search appropriate tenders and, vice versa, a public procurement agency can discover automatically unknown companies which are suitable for its tender. This paper develops a pioneering algorithm to recommend potential bidders using a machine learning method, particularly a random forest classifier. …”
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Using Relational Biology with Loop Analysis to Study the North Atlantic Biological Carbon Pump in a ‘Hybrid’ Non-Algorithmic Manner by Patricia A. Lane

“…Many believe he provided the best but minimum answer using a cellular, metabolism–repair or (M, R)-system as a category-theoretic model. It has been challenging, however, to incorporate his theory to develop a fully non-algorithmic methodology that retains the essence of his thinking while creating more operational models of living systems that can be used to explore other facets of life and answer different questions. …”
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Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry by Chaowei Dong, Jianfei Xu, Nan Zhou, Jixiong Zhang, Hao Yan, Zejun Li, Yuzhe Zhang

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Simulation study on the urban-rural integration circulatory mechanism system in China: Based on system dynamics model and multi-objective genetic algorithm by Gaoyang Liang, Mingqiang Xing, Jianqiang Zhao

“…This research contributes to a deeper theoretical understanding of the urban-rural integration mechanism and provides preliminary insights that may serve as a reference for promoting balanced and sustainable urban-rural development in China.…”
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WIND ENERGY POTENTIAL ASSESSMENT OF UKRAINE by YEVGEN MAKAROVSKIY, VIKTORIIA ZINYCH

“…The article presents a methodology for theoretical and technically achievable wind power potential assessment, developed in the framework of EnviroGRIDS Black Sea Catchment project. …”
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On the Convergence of the Yosida–Cayley Variational Inclusion Problem with the XOR Operation and Inertial Extrapolation Scheme by Arifuzzaman, Syed Shakaib Irfan, Iqbal Ahmad

“…To address these problems, we develop and examine several solution methods, with particular attention given to the convergence behavior of the proposed algorithms. …”
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A Multi-Mode Switching Energy Management Strategy Based on Travel Habits for Range-Extended Electric Vehicle by Zhenhai Gao, Guoqing Zhang, Hanwu Liu, Cheng Chang, Jingwen Dong, Rongrong He, Yu Cai

“…The proposed strategy is based on the fuzzy control algorithm, which ensures that the theoretical SoC curve is well followed. …”
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Improved quantum algorithm for calculating eigenvalues of differential operators and its application to estimating the decay rate of the perturbation distribution tail in stochasti... by Koichi Miyamoto, Yuichiro Tada

“…Our first contribution is the development of a quantum algorithm for this task, leveraging recent quantum singular value transformation-based methods. …”
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Enhanced data-driven shear strength predictive modeling framework for RCDBs using explainable boosting-based ensemble learning algorithms coupled with Bayesian optimization by Imad Shakir Abbood, Noorhazlinda Abd Rahman, B.H. Abu Bakar

“…The theoretical background and fundamentals were presented in detail. …”
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Strategic Approach to Monitoring the Risk Resilience and Financial security of Companies in the Passenger Air Transport Industry by A. A. Pushevskaya, N. A. Kazakova

“…The theoretical significance of the study lies in the development and adaptation of the industry analysis methodology to the specifics and needs of the passenger air transportation industry for its sustainable development in a highly turbulent economy. …”
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Repetitive Expressions in Chatbots and Consumer Psychology by Kosho Sen

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Targeted Detection of 76 Carnitine Indicators Combined with a Machine Learning Algorithm Based on HPLC-MS/MS in the Diagnosis of Rheumatoid Arthritis by Rui Zhang, Juan Wang, Xiaonan Zhai, Yuanbing Guo, Lei Zhou, Xiaoyan Hao, Liu Yang, Ruiqing Xing, Juanjuan Hu, Jiawei Gao, Fengjuan Wang, Jun Yang, Jiayun Liu

“…The diagnostic model developed shows excellent diagnostic capacity, improving early detection and enabling timely intervention to minimize disability associated with RA.…”
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A Comprehensive Review of the Main Heavyweight and Lightweight SDLC for Big Data Analytics Systems (BDAS) by David Alejandro Montoya-Murillo, Sergio Galvan-Cruz, Manuel Mora, Estela Lizbeth Munoz Andrade

“…However, despite the advanced technological progress – i.e. on BDAS algorithms, languages and platforms-, their development has been mainly through uncomplete ad-hoc or old rigorous heavyweight System Development Life Cycles (SDLC). …”
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Comparative Analysis of Traditional and Deep Learning Approaches for Underwater Remote Sensing Image Enhancement: A Quantitative Study by Yunsheng Ma, Yanan Cheng, Dapeng Zhang

“…Underwater remote sensing image enhancement is complicated by low illumination, color bias, and blurriness, affecting deep-sea monitoring and marine resource development. This study compares a multi-scale fusion-enhanced physical model and deep learning algorithms to optimize intelligent processing. …”
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Sensor-Based Gait Analysis: A Comparative Study of Ultrasonic and Laser Sensors for Gait Monitoring in Rollator-Assisted Walking by Ivan Omeko, Stefan Twieg, Martin Obert

“…These findings contribute to the theoretical understanding of sensor-based posture monitoring and hold practical significance for the development of assistive mobility devices and further algorithms.…”
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Voltage Regulation Strategies in Photovoltaic-Energy Storage System Distribution Network: A Review by Qianwen Dong, Xingyuan Song, Chunyang Gong, Chenchen Hu, Junfeng Rui, Tingting Wang, Ziyang Xia, Zhixin Wang

“…The aim of this paper is to provide a theoretical basis and practical guidance for voltage regulation of PV-ESS distribution networks and to promote the intelligent construction and sustainable development of power grids.…”
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High-Precision Trajectory-Tracking Control of Quadrotor UAVs Based on an Improved Crested Porcupine Optimiser Algorithm and Preset Performance Self-Disturbance Control by Junhao Li, Junchi Bai, Jihong Wang

“…Initially, this paper addresses the limited convergence efficiency of the traditional crowned pig algorithm (CPO) by introducing a dynamic time threshold mechanism and an adaptability-based directed elimination strategy to balance the algorithm’s global exploration and local development capabilities. …”
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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…The research results provide a theoretical reference for the development and application of open-pit truck unmanned driving technology.…”
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Ammonia and ethanol detection via an electronic nose utilizing a bionic chamber and a sparrow search algorithm-optimized backpropagation neural network. by Yeping Shi, Yunbo Shi, Haodong Niu, Jinzhou Liu, Pengjiao Sun

“…In livestock- and poultry-breeding facilities, a precise, rapid, and affordable method for detecting ammonia concentrations is essential. We design and develop an electronic nose system containing a bionic chamber that imitates the nasal-cavity structure of humans and canines. …”
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Basic aspects of methodology for justifying the performance characteristics of a tracked machine with electromechanical transmission by V. N. Kuznetsova, R. V. Romanenko

“…An algorithm has been developed for the interaction of its elements taking into account the movement of the machine. …”
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