Intelligent Design of Pavement Concrete Based on RSM-NSGA-III-CRITIC-VIKOR by Yuren Huo, Zhaoguang Li, Yan Wang

“…This study develops an integrated optimization framework combining Response Surface Methodology (RSM), Non-dominated Sorting Genetic Algorithm III (NSGA-III), Criteria Importance Through Intercriteria Correlation (CRITIC) weighting, and VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) decision-making to optimize the mix proportions water–cement ratio (W/C), sand ratio, and an air-entraining agent (AEA) for sustainable pavement concrete. …”
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A Preprocessing Pipeline for Pupillometry Signal from Multimodal iMotion Data by Jingxiang Ong, Wenjing He, Princess Maglanque, Xianta Jiang, Lawrence M. Gillman, Ashley Vergis, Krista Hardy

“…In conclusion, this pipeline provides a detailed and organized preprocessing method that improves data reliability while preserving important information for further analysis.…”
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HER2-low breast cancer. Diagnostics, treatment and its adverse events by Hanna Bartkowiak, Damian Grubski, Kacper Ziarnik, Filip Nadolny, Jędrzej Jabłoński, Martyna Kania, Agnieszka Adamowska, Alicja Śniatała

“…While trastuzumab-deruxtecan is highly effective, it does come with specific safety considerations that necessitate close monitoring.      …”
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Application of Remote Sensing and GIS in Monitoring Forest Cover Changes in Vietnam Based on Natural Zoning by An Nguyen, Vasily Kovyazin, Cong Pham

“…In Thanh Hoa, broadleaf forests expanded by 51.15% (91,159 ha), while mixed forests declined by 19.68% (105,445 ha). …”
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Design optimization and generating characteristics of a linear arc PM vernier machine for wave energy conversion system by Urooj Jadoon, Faisal Khan, Salar Ahmad Khalil, Hatim Alwadie, Adoalateef Alzhrani

“…Design M2 and M4 exhibited significant flux linkage enhancements (28.47 % and 32.50 %, respectively), while M1 and M3 demonstrated notable reductions in cogging force (37.16 % and 54.58 %, respectively). …”
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Experimental Study on Evaluation of Organization Collaboration in Prefabricated Building Construction by Dingjing Bao, Yuan Chen, Shuai Wan, Jinlai Lian, Ying Lei, Kaizhe Chen

“…The knowledge-driven part of this evaluation system used an evaluation model based on the analytic hierarchy process (AHP), while the data-driven part used a prediction model based on the BO-XGBoost algorithm to verify the validity of the AHP-based model. …”
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A Novel Approach for Efficient Detection of Lotus Seedpod Maturity Using Compressed Models by Tao Tang, Min Jin, Gaohong Yu, Rui Feng, Bingliang Ye

“…To simplify the model and improve detection speed, a channel pruning algorithm was utilized for model compression. Finally, the compressed model was fine-tuned to restore accuracy. …”
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A reputation-based dynamic reorganization scheme for blockchain network sharding by Shuhui Zhang, Hanwen Tian, Lianhai Wang, Shujiang Xu, Wei Shao

“…While sharding technology helps solve performance bottlenecks in traditional blockchain networks, it also introduces new challenges. …”
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Grey wolf optimization technique with U-shaped and capsule networks-A novel framework for glaucoma diagnosis by Govindharaj I, Ramesh T, Poongodai A, Senthilkumar K. P, Udayasankaran P, Ravichandran S

“…A hybrid segmentation method combines Grey Wolf Optimization Algorithm with U-Shaped Networks to obtain precise extraction of the optic disc regions in retinal fundus images. …”
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Implementation of Manchester codec for information transmission systems based on AVR and ARM architecture microcontrollers by Andrey Sadchenko, Oleg Kushnirenko, Nataliia Kushnirenko, Olha Sadchenko, Alexander Troyanskiy

“…The direct implementation of the encoding algorithm with the Manchester code using a purely software-driven approach significantly decreases the information transfer rate. …”
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Data-Driven Digital Twin Framework for Predictive Maintenance of Smart Manufacturing Systems by Tarana Khan, Urfi Khan, Adnan Khan, Calahan Mollan, Inga Morkvenaite-Vilkonciene, Vijitashwa Pandey

“…The results of the comparative analysis of the ML algorithms showed that the Random Forest Regressor is the best prediction model for surface roughness, with the highest R² (94.2% ± 2.4%), lowest MAE (0.011 ± 0.002), lowest MAPE (15.6% ± 4.0%), and lowest RMSE (0.017 ± 0.003), while the XGB Regressor demonstrated the best performance for power consumption prediction, with the highest R² (98.9% ± 0.5%), lowest MAE (22.513 ± 4.424), lowest MAPE (3.0% ± 0.5%), and lowest RMSE (42.650 ± 8.933). …”
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YOLO-SBA: A Multi-Scale and Complex Background Aware Framework for Remote Sensing Target Detection by Yifei Yuan, Yingmei Wei, Xiaoyan Zhou, Yanming Guo, Jiangming Chen, Tingshuai Jiang

“…On the DIOR dataset, YOLO-SBA improves mAP by 16.6% and single-category detection AP by 0.8–23.8% compared to the existing state-of-the-art algorithm.…”
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Development of a technique to identify μm-sized organic matter in asteroidal material: An approach using machine learning by Rahul Kumar, Katsura Kobayashi, Christian Potiszil, Tak Kunihiro

“…On the approach of classification with machine learning, five algorithms were tested. The random forest algorithm was selected as it scored the highest in 4 out of 5 accuracy parameters during evaluation. …”
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EPCNet: Implementing an ‘Artificial Fovea’ for More Efficient Monitoring Using the Sensor Fusion of an Event-Based and a Frame-Based Camera by Orla Sealy Phelan, Dara Molloy, Roshan George, Edward Jones, Martin Glavin, Brian Deegan

“…To reduce system latency, a novel object detection approach is proposed where the event camera acts as a region proposal network, and a classification algorithm is run on the proposed regions. This achieved a 78% improvement over baseline.…”
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GENERATION OF TEST BASES OF RULES FOR THE ANALYSIS OF PRODUCTIVITY OF LOGICAL INFERENCE ENGINE by Svitlana Shapovalova

“…The following results were obtained: the method provides opportunities: creation of conditions of rules that complicate the data flow network of the Rete-algorithm as much as possible; formation of test bases of rules for derivation both on logic of the first order, and on offer logic; simply increase the number of knowledge base rules while maintaining the output logic. …”
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Screening for endometriosis: A scoping review of screening measures that could support early diagnosis by Brittany N. Rosenbloom, Tania Di Renna, Adriano Nella, Mathew Leonardi, Maggie Tiong, Seungmin Lee, Rachael Bosma

“…Conclusion Of the included PROMs, the ENDOPAIN-4D was found the be the highest quality and could be adopted for a primary care setting. While the MLA could be used in a tertiary or specialist care setting reliance on more advanced data. …”
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Strategic Implementation of Super-Agents in Heterogeneous Multi-Agent Training for Advanced Military Simulation Adaptability by Huseyin Oktay Altun, Huseyin Furkan Ceran, Korkut Kutay Metin, Tolga Erol, Emre Fisne

“…Optimizing Heterogeneous Multi-Agent Training (HMAT) through scenario-specific adjustments to the Proximal Policy Optimization (PPO) algorithm, we tackle the complexity of tactical simulations. …”
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CFD-Guided Design of Non-Uniform Flow Channels in PEMFCs for Waste Heat Utilization in District Heating Networks by Dai Cui, Dong Liu, Peng Yu, Jiayi Li, Zhi Zhou, Meishan Zhang, Qun Chen, Fang Yuan

“…These findings validate the algorithm’s efficacy in resolving coupled transport constraints and underscore the necessity of multi-component optimization for advancing PEMFC design.…”
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An MRI-based radiomics nomogram for preoperative prediction of Ki-67 index in nasopharyngeal carcinoma: a two-center study by Yao Wang, Jing Zhang, Qiyuan Li, Li Sun, Yingmei Zheng, Chuanping Gao, Cheng Dong

“…Data from one medical center (n=105; Ki-67: ≥50% [n=57], <50% [n=48]) formed the training set, while data from another medical center (n=28; Ki-67: ≥50% [n=15], <50% [n=13]) formed the test set. …”
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Predicting Patients’ Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks by Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Paul Leger, Yong Tan, Giuliani Coluccio

“…In addition to feature selection models such as Random Forest, Genetic Algorithm, and Lasso Regression, the study employs various methods, including Neural Networks, Support Vector Machines, Decision Trees, k-Nearest Neighbors, Rule-based systems, and Naive Bayes algorithms. …”
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