Public Transport in Rural Roads: Measures to Increase Its Modal Share in Iran by Alireza Afkham, Shahriar Afandizadeh, Ali Naderan

“…Moreover, in the third section, the users’ suggested keywords focused on policy-making, travel time optimization, quality of services, and safety. Both the second and third sections had an acceptable agreement with the pairwise comparisons. …”
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Tritium Breeding Performance Analysis of HCLL Blanket Fusion Reactor Employing Vanadium Alloy (V-5Cr-5Ti) as First Wall Material by Indah Rosidah Maemunah, Zaki Su’ud, Abdul Waris, Dwi Irwanto

“…Employing seven candidates are vanadium carbide (VC), titanium carbide (TiC), vanadium alloy (V-5Cr-5Ti), graphite (C), tungsten alloy (W-CuCrZr), ceramic alloy (SiC), and HT-9 to study optimization of FW materials configurated in the HCLL blanket module. …”
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Logging Response Mechanism and Content Evaluation of Laumontite-Bearing Glutenite Reservoir: A Case Study of Lower Urho Formation of Permian of the Junggar Basin by Jia Jun, Xue Kunlin, Ni Liping, Luo Yang, Liu Yuchao

“…In this study, through petrophysics experiments such as whole-rock X-ray diffraction, conventional petrophysical properties, mercury injection, and electron microprobe analysis, the characteristics of glutenite reservoirs containing laumontite and the well logging response mechanisms were analyzed from the perspectives of mineral composition of rocks, geochemical characteristics, and principle of loggings. A multimineral optimization method was used to calculate the laumontite content. …”
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An aggregate stochastic model incorporating individual dynamics for predation movements of anelosimus studiosus by Alex John Quijano, Michele L. Joyner, Edith Seier, Nathaniel Hancock, Michael Largent, Thomas C. Jones

“…The comparison between the optimal individual models to the aggregate model indicate the methodology and algorithm developed in this paper are appropriate for simulating a range of individualistic behaviors.…”
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Systematic Literature Review: Implementation of Online Learning Based on Education Levels in Indonesia by Vania Dinata, Agus Wedi, Otto Fajarianto

“…However, addressing barriers such as technical limitations and fostering better interaction are essential for further optimization. These insights provide valuable guidance for refining online learning practices and policies in Indonesia. …”
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Research on Aircraft Surface Taxi Path Planning and Conflict Detection and Resolution by Ningning Zhao, Nan Li, Yu Sun, Lei Zhang

“…In this study, the airport taxiing path optimization model and taxiing area division model are constructed first. …”
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Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning by J. Arun Pandian, Ramkumar Thirunavukarasu, L. Thanga Mariappan

“…The foundation of the proposed MAB-Ensemble technique is inspired in terms of Multi-Armed bandit optimization to facilitate efficient model selection for lane segmentation. …”
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Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism by Zeynep Tanis, Ali Durusu

“…Key challenges are addressed through a systematic methodology, encompassing user registration, multienergy systems involving electricity, heat, and gas, storage cost optimization, multienergy trading, and blockchain-based transactions. …”
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A Novel Fast Image Stitching Method Based on the Combination of SURF and Cell by Qing An, Xijiang Chen, Shusen Wu

“…In view of this, this paper proposes a power function-weighted image stitching method that combines SURF optimization and improved cell acceleration. First, the method uses the cosine similarity to preliminarily judge the similarity of the feature points and then uses the two-way consistency mutual selection to filter the feature point pairs again. …”
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Artificial Intelligence in Educational Data Mining and Human-in-the-Loop Machine Learning and Machine Teaching: Analysis of Scientific Knowledge by Eloy López-Meneses, Luis López-Catalán, Noelia Pelícano-Piris, Pedro C. Mellado-Moreno

“…The findings suggest that these AI applications can significantly improve personalized learning, student tracking, and resource optimization in educational institutions. The study highlights ethical considerations, such as the need to protect privacy, ensure the transparency of algorithms, and promote equity, to ensure inclusive and fair learning environments. …”
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TLC determination of flavonoids from different cultivars of Allium cepa and Allium ascalonicum by Pobłocka-Olech Loretta, Głód Daniel, Żebrowska Maria E., Sznitowska Małgorzata, Krauze-Baranowska Miroslawa

“…This study comprises the optimization and validation of a new TLC method for determination of flavonols in the bulbs of seven cultivars of onions and shallots. …”
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SIMULATION OF COOLING TOWER AND INFLUENCE OF AERODYNAMIC ELEMENTS ON ITS WORK UNDER CONDITIONS OF WIND by K. V. Dobrego, M. M. Hemmasian Kashani, E. E. Lasko

“…Simulation let one analyze aerodynamic patterns, induced inside cooling tower and homogeneity of velocities’ field in irrigator’s area.Presented results may be helpful for the CT aerodynamic design optimization, particularly, for perspective hybrid type CTs.…”
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Machine learning based prediction of specific heat capacity for half-Heusler compounds by Laxman Chaudhary, Keshab Chaudhary, Ambika Shahi, Kedar Nath Jaiswal, Dipendra Prasad Kalauni, Se-Hun Kim, Madhav Prasad Ghimire

“…The stacked model, which incorporates gradient boosting and random forest as baseline models, was meticulously tuned for parameter optimization. Our calculated results demonstrate the robustness of our model, as evidenced by the high R-squared scores that indicate remarkable accuracy and consistency in predicting lattice parameters and specific heat capacity. …”
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Rolling Bearings Fault Diagnosis under Variable Speed Conditions Based on Multitime-Frequency Ridge Extraction by Qing Xiong, Yixuan Li, Xiaoli Qiu, Dong Yu, Weihua Zhang, Qingze Chen

“…The vibration signals of rolling bearings under variable speed conditions exhibit time-varying, nonstationary, and nonlinear characteristics, making it challenging to extract fault features. A fast path optimization-based multitime-frequency ridge extraction (FPOMRE) method is proposed in this paper to address the problem. …”
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Exploring ethical considerations in medical research: Harnessing pre-generated transformers for AI-powered ethics discussions. by Takuya Mori, Takuya Watanabe, Shinji Kosugi

“…This limitation may be attributed to biased opinions resulting from machine learning optimization, preventing comprehensive identification of certain ethical issues.…”
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Critical parameters for robust Agrobacterium‐mediated transient transformation and quantitative promoter assays in Catharanthus roseus seedlings by Lauren F. Cole‐Osborn, Emma Meehan, Carolyn W. T. Lee‐Parsons

“…Including a second experimental replicate further reduced the potential for false positives. This optimization and quantitative validation of Agrobacterium infiltration in C. roseus seedlings will facilitate the study of this important medicinal plant and will expand the application of Agrobacterium‐mediated transformation methods in other plant species.…”
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Analysis of Effective Operation Performance of Wireless Control Downhole Choke by Yukun Fu, Huiyun Ma, Chenggang Yu, Liangliang Dong, Yunshan Yang, Xiaohua Zhu, Hanwen Sun

“…The research content of this paper provides theoretical and experimental basis for the further improvement and optimization of the wireless control downhole throttle’s structure and has certain guiding significance for the field use of the throttle, achieving the purpose of downhole wireless intelligent production adjustment.…”
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A Novel Convex Hull Coverage Algorithm for the Deployment of Electric Taxi Swap Stations Based on Urban Traffic Flow by Xudong Zhu, Lijun Yao, Yuxin Mao, Renjie Wang, Hanxiao Shi, Ji Qi

“…The experimental results illustrate that the deployment scheme obtained by the proposed algorithm is significantly optimized in terms of the deployment cost and service load and has a lower algorithm time complexity than the typical unified deployment scheme. …”
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Walking Gait Phase Detection Based on Acceleration Signals Using Voting-Weighted Integrated Neural Network by Lei Yan, Tao Zhen, Jian-Lei Kong, Lian-Ming Wang, Xiao-Lei Zhou

“…The end-to-end implementation of the VWI-DNN model is fine-tuned by the loss optimization of gradient back-propagation. Experimental results demonstrate the outperforming performance of the proposed method with higher classification accuracy compared with the other methods, of which classification accuracy and macro-F1 is up to 99.5%. …”
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Impact of ionomers on porous Fe-N-C catalysts for alkaline oxygen reduction in gas diffusion electrodes by Jinjie Zhu, Angus Pedersen, Simon Kellner, Robert D. Hunter, Jesús Barrio

“…These findings provide insights into the impact of catalyst layer optimization to achieve optimal performance in Fe-N-C based AEMFCs.…”
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