Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

“…To enhance the robustness and accuracy of the model and optimize its ability to capture the complex non-linear relationship in the MSW dataset, eight membership functions (MF)-type of the grid partitioning (GP) clustering approach were tested. …”
Get full text

Post-Quantum Cryptography Resilience in Telehealth Using Quantum Key Distribution by Don Roosan, Rubayat Khan, Saif Nirzhor, Fahmida Hai

“…Despite increased computational overhead, the DAG approach efficiently handled parallel transactions, indicating improved scalability compared to traditional linear blockchains. …”
Get full text

Optimizing winner determination for sustainability and timeliness in fresh agricultural product logistics service procurement auctions: insights from a fourth-party logistics persp... by Yi Zhou, Mingqiang Yin, Qiang Liu, Xiaohu Qian, Delong Jin, Xianming Lang

“…Through the sample average approximation (SAA) technology, the proposed two-stage stochastic programming is approximated as a mixed-integer linear programming model. Since winner determination problem is NP-hard, the increasing number of decision variables and demand scenarios poses challenges to the problem. …”
Get full text

Research on Heat Transfer Coefficient Prediction of Printed Circuit Plate Heat Exchanger Based on Deep Learning by Yi Su, Yongchen Zhao, Jingjin Wu, Ling Zhang

“…The PCHE, as an efficient heat exchanger, plays a crucial role in the storage and regasification of LNG. …”
Get full text

Mechanical Properties of Large-Volume Waste Concrete Lumps Cemented by Desert Mortar: Laboratory Tests by Hui Chen, Zhiyuan Qi, Baiyun Yu, Xinyu Li

“…The AE data revealed a three-stage evolution—linear-elastic, nonlinear crack growth, and critical failure—with signal density positively correlating to fracture energy. …”
Get full text

Unsupervised evaluation of pre-trained DNA language model embeddings by Raghav Awasthi, Gayan Samuditha Mend Mend Arachchige, Xiaofeng Zhu

“…Results We propose a framework to evaluate DLM embeddings using unsupervised numerical linear algebra-based metrics RankMe, NESum, and StableRank. …”
Get full text

Serum Transcription Factor EB Levels in Relation to Poor Neurological Prognosis and Mediation Effect of Stroke-Associated Pneumonia in Acute Intracerebral Hemorrhage: Evidence from... by Wang K, Zhan G, Jiang Q, Jiang C, Zheng G, Tang Z

“…Serum TFEB levels were significantly inversely correlated with both NIHSS scores and hematoma volume; had a linear relationship with likelihoods of both SAP and poor prognosis (mRS scores 3– 6), were independent of ordinal mRS scores, SAP, and poor prognosis; and were efficiently predictive of SAP and poor prognosis with analogous areas under the receiver operating characteristic curve as NIHSS scores and hematoma volume. …”
Get full text

Coordinated Sliding Mode and Model Predictive Control for Enhanced Fault Ride-Through in DFIG Wind Turbines by Ahmed Muthanna Nori, Ali Kadhim Abdulabbas, Tawfiq M. Aljohani

“…The main advantages of the predictive control method include eliminating the need for linear controllers, coordinate transformations, or modulators for the converter. …”
Get full text

XOR count and block circulant MDS matrices over finite commutative rings by Shakir Ali, Amal S. Alali, Atif Ahmad Khan, Indah Emilia Wijayanti, Kok Bin Wong

“…Block circulant MDS matrices are used in the design of linear diffusion layers for lightweight cryptographic applications. …”
Get full text

GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba by Yingnan Zhao, Zheng Hu, Fangqi Ding, Jielin Jiang, Xiaolong Xu

“…The results indicate that GDText-VM outperforms the state-of-the-art methods in terms of precision, recall, and F-measure, while maintaining efficient computation with 25.88M parameters and 40.83G FLOPs. …”
Get full text

Spatial Prediction of Soil Water Content by Bayesian Optimization–Deep Forest Model with Landscape Index and Soil Texture Data by Weihao Yang, Ruofan Zhen, Fanyue Meng, Xiaohang Yang, Miao Lu, Yingqiang Song

Get full text

Multi-Airport Capacity Decoupling Analysis Using Hybrid and Integrated Surface–Airspace Traffic Modeling by Lei Yang, Yilong Wang, Sichen Liu, Mengfei Wang, Shuce Wang, Yumeng Ren

“…In the surface model, we utilize linear regression and random forest regression to model unimpeded taxiing time and taxiway network delays due to sparsity of ground traffic. …”
Get full text

A solution to the Single-School school bus routing problem considering accessibility and economy by Zizhan Jiang, Jiying Wang, Siyuan Huang, Hua Daniel Xu

“…In the second stage, we establish a mixed-integer linear programming (MILP) model for SSMR-SBRP, aiming to minimize the total travel distance. …”
Get full text

Accelerated Organic Carbon Burial Rates Reconstructed in Elephant Butte Reservoir, New Mexico During a Megadrought by A. C. Eckland, I. Overeem, B. Carlson, K. B. Lininger

“…Estimated whole reservoir OC burial is higher during dry than wet conditions (391 ± 43.6% vs. 82.4 ± 56.4% g C/m2yr), suggesting that dryland reservoirs may be efficient carbon sinks during these periods.…”
Get full text

Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

“…The increasing complexity of urban building energy systems necessitates advanced prediction methods for efficient energy management. Urban buildings account for approximately 40% of global energy consumption, making accurate prediction crucial for sustainability goals. …”
Get full text

Calculation and Forecast of Glacial Feeding in River Basins by V. G. Konovalov

“…Index δ for the upper reaches of the Rhone River turned out to be not only a representative characteristic of changes in the vegetation period and annual runoff of the river, but also an efficient argument for the super-long-range prediction of these variables for 2025–2054 years.…”
Get full text

Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods by Yasemin Sarı, Nesrin Aydın Atasoy

“…., ReLU, identity, logistic, and tanh) in MLP and various kernel functions (e.g., linear, rbf, sigmoid, and polynomial) in SVM allows for a thorough evaluation of the classifiers’ performance. …”
Get full text

Development of a MediaPipe-based framework for biomechanical quantification of table tennis forehand strokes by Yuanyuan Lyu, Xiaoling Duan, Chen Yang, Qiang Ye

“…At the population-level, ball speed increases with age before 14.3 years (rbs = 0.68) but plateaus thereafter (rbs = 0.17).DiscussionThis MediaPipe-based framework demonstrates potential for efficient biomechanical analysis in table tennis, providing a promising foundation for lightweight real-time analysis solutions.…”
Get full text

Adaptive Multi-Objective Optimization-Based Coverage Path Planning Method for UUVs by Shaojing ZHAO, Songchen FU, Letian BAI, Yutong GUO, Ta LI

“…By analyzing the correlation between reward objectives and employing linear regression estimation, the proposed approach adaptively adjusted the weights of different optimization objectives, enabling UUVs to autonomously plan efficient coverage paths in environments with unknown obstacles and ocean currents. …”
Get full text

Combination of solid-liquid hollow fiber liquid phase microextraction method with electromembrane extraction for extraction of Tolmetin and its determination followed by high perfo... by Samaneh Niazipour, Jahan Bakhsh Raoof, Milad Ghani, Reza Ojani

“…Results: Under the optimal condition (1-octanol as supported liquid membrane (SLM) solvent, 40 V as applied voltage, donor phase pH of 9.0, acceptor phase pH of 12.7, stirring rate of 400 rpm, extraction time of 5 min and MOF-199 loading of 4 mg mL−1) the method yielded linear dynamic ranges of 1–200 µg L−1 (water and urine matrices) and 2–100 µg L−1 (plasma matrix), with correlation coefficients (r²) above 0.9926. …”
Get full text