RL–Fusion: The Large Language Model Fusion Method Based on Reinforcement Learning for Task Enhancing by Zijian Wang, Jiayong Li, Yu Liu, Xuhang Li, Cairong Yan, Yanting Zhang

“…Model fusion is a technique of growing interest in the field of machine learning, which constructs a generalized model by merging the parameters of multiple independent models with different capabilities without the need to access the original training data or perform costly computations. …”
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The Orienteering Problem with Time Windows for Optimizing Trabzon City’s Tourism Route by Betül Kara, Ezgi Öztürk, Minel Canbaz, Ertuğrul Ayyıldız

“…This study provides an important step in allowing tourists to create the most efficient and enjoyable tourism route by considering the touristic points and other locations that can be visited in Trabzon city over the most appropriate time intervals.…”
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Robust SOH estimation for Li-ion battery packs of real-world electric buses with charging segments by Heng Li, Shilong Zhuo, Yun Zhou, Muaaz Bin Kaleem, Yu Jiang, Fu Jiang

“…Abstract Accurate estimation of battery packs state of health (SOH) is essential for the timely maintenance and efficient reuse of batteries in pure electric buses, which paly an import role in modern public transportation. …”
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Optimized frequency stabilization in hybrid renewable power grids with integrated energy storage systems using a modified fuzzy-TID controller by Mohamed Khamies, Ahmed H. A. Elkasem, Salah Kamel, Mohamed Hashem

“…The results demonstrate that the presented strategy is efficient and effective for HRPGs.…”
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Screening for Sarcopenia (Physical Frailty) in the COVID-19 Era by Amira Mohammed Ali, Hiroshi Kunugi

“…This review explored different aspects of screening for sarcopenia, stressing their relevance to the detection of altered muscular structure and performance in patients with COVID-19. …”
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CBCT-to-CT synthesis using a hybrid U-Net diffusion model based on transformers and information bottleneck theory by Can Hu, Ning Cao, Xiuhan Li, Yang He, Han Zhou

“…By leveraging the self-attention mechanism, our model automatically focuses on different regions of the image during generation, aiming to better capture global features. …”
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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…In this model, the features from different modalities are not merely combined; instead, they serve as mutual weights, influencing each other’s contribution to the final prediction. …”
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Spatial analysis of hypertension’s awareness, treatment and control in India: evidence from national family health survey 2019-21 by Priti, Rahul Kumar, Kunal Keshri, Ankit Gupta

“…Conclusion The study’s results highlight the urgent need for focused public health initiatives to address hypertension knowledge, management, and treatment differences. Better access to healthcare is necessary for the efficient management of hypertension, especially in underserved areas and among lower socioeconomic groups. …”
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Identification of Pseudopestalotiopsis ampullacea as a new pathogen causing tea gray blight in India and its management strategies by Abhay K. Pandey, Shivanand Yadav, Manjunath Hubballi, Harshit K. Sharma

“…In pathogenicity test, the isolate showed weak to high virulence reactions on 25 different tea cultivars. The pathogen showed an avirulent reaction on the cultivar TV11. …”
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An enhanced BERT model with improved local feature extraction and long-range dependency capture in promoter prediction for hearing loss by Jing Sun, Yangfan Huang, Jiale Fu, Li Teng, Xiao Liu, Xiaohua Luo

“…The CNN module is able to capture local regulatory features, while the BiLSTM module can effectively model long-distance dependencies, enabling efficient integration of global and local features of promoter sequences. …”
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Identification of candidates with hepatocellular carcinoma to receive TACE combined with MWA by assessing tumor burden and radiologic features by Chao An, Lujun Shen, Qifeng Chen, Yiquan Jiang, Chen Li, He Ren, Peihong Wu, Xi Liu

“…Based on cutoff values of 32 and 74 centiles of the TBR score, the cohort was divided into low-, middle-, and high-risk strata, which provide consistent performance in survival discrimination across different patient subgroups. Conclusion: The TBR score serves as an efficient instrument for risk stratification, guiding the course of adjuvant targeted and immunotherapies for HCC patients undergoing TACE-MWA combined treatment. …”
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Physically Based Dimensionless Features for Pluvial Flood Mapping With Machine Learning by Mark S. Bartlett, Jared VanBlitterswyk, Martha Farella, Jinshu Li, Curtis Smith, Anthony J. Parolari, Lalitha Krishnamoorthy, Assaad Mrad

“…The features were calculated at different scales by varying accumulation thresholds for stream delineation. …”
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Demographic stratification of Type 2 diabetes and comorbidities in district healthcare in KwaZulu-Natal by Lauren Chetty, Nalini Govender, Ganesan M. Govender, Poovendhree Reddy

“…Conclusion: The prevalence of T2DM and comorbidities differed by demographic factors, such as sex, ethnicity and age. …”
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Automatic Identification and Segmentation of Overlapping Fog Droplets Using XGBoost and Image Segmentation by Dongde Liao, Xiongfei Chen, Muhua Liu, Yihan Zhou, Peng Fang, Jinlong Lin, Zhaopeng Liu, Xiao Wang

“…In conclusion, the method proposed in this paper provides an efficient and accurate new approach for pesticide spraying quality assessment.…”
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Heat transfer analysis of mixed convective hybrid nanofluid flow with variable permeability by Manimegalai C., Peri K. Kameswaran, P. Sibanda

“…The problem arises from the fact that conventional fluids are inadequate to enable efficient heat absorption and generation issues in industrial sectors. …”
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Advanced workflow for time-lapse seismic monitoring of $$\hbox {CO}_2$$ storage in saline aquifers with its application in a field basin by Yanjiao Dong, Yi Shen, Kai Guo, Qiang Mao, Xiaoqin Wu, Lintao Li, Wenyue Sun

“…Finally, the workflow developed in this study efficiently addresses challenges associated with varying observational scales and interdisciplinary research. …”
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Tightly Coupling Fusion of UWB Ranging and IMU Pedestrian Dead Reckoning for Indoor Localization by Rashid Ali, Ran Liu, Anand Nayyar, Basit Qureshi, Zhiqiang Cao

“…Ultra-wideband (UWB) and inertial measurement unit (IMU) fusion is an efficient method to resolve the uncertainties of UWB in non-line-of-sight (NLOS) situations because of signals refraction, the effect of multipath and inertial positioning error accumulation in indoor environments. …”
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Deep Oxidative Desulfurization Utilizing Hybrid Keggin Catalyst with 1-methyl-3-octyl imidazolium hexafluorophosphate by Yasmeen Mundher, Hussein Q Hussein, Ban A. Al-Tabbakh

“…These results indicate that the extraction with catalytic oxidation desulfurization using Keggin hybrid catalysts for model diesel fuels is an efficient method and offers promise for achieving ultra-deep desulfurization. …”
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Hierarchical Mixed-Precision Post-Training Quantization for SAR Ship Detection Networks by Hang Wei, Zulin Wang, Yuanhan Ni

“…Post-training quantization (PTQ) provides an efficient method for pre-training neural networks to effectively reduce memory and computational resources without retraining. …”
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Selection and Identification of a Model of Elasto-Viscoplasticity of the Filled Fluorocomposite according to Free and Constrained Compression Tests by D. S. Petukhov, A. A. Adamov, I. E. Keller

“…The data of free compression cycles at different strain rates were used to determine the material constants of the model. …”
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