RaNet: a residual attention network for accurate prostate segmentation in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…Existing methods often struggle with the complex textures and subtle variations in the prostate. …”
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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Despite considerable advancements in this field, existing methods often face challenges related to computational efficiency and prediction accuracy. This study introduces a novel approach to link prediction in social networks by employing the Heat Transfer Optimization Algorithm (HTOA) for topological feature selection. …”
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Hierarchical proxy consensus optimization for IoV based on blockchain and trust value by Baoqin ZHAI, Jian WANG, Lei HAN, Jiqiang LIU, Jiahao HE, Tianhao LIU

“…With the rapid development of Internet of vehicles, 5G and artificial intelligence technologies, intelligent transportation has become the development trend of transportation technology.As a vehicle-vehicle and vehicle-road information interaction platform, the Internet of vehicles is the basic support platform for intelligent traffic information sharing and processing.At the same time, the security of Internet of vehicles has attracted much attention, especially data security which may cause user privacy leakage.The blockchain technology has become a solution, but it still faces new challenges in efficiency, security and other aspects.With the increase of vehicle nodes and information, how to efficiently achieve information consensus in high-speed vehicle moving environment has become a key problem.Then a bottom-up RSU (road side unit) chain consensus protocol was proposed based on blockchain and trust value.Several typical consensus structures were compared, and bottom-up two-layer consensus structure was adopted according to the actual scenarios of the Internet of vehicles.Moreover, a group leader node election algorithm was proposed which is based on node participation, work completion and message value.The system security was ensured by assigning trust value to each vehicle.Following the consensus structure and algorithm work mentioned above, the specific process of the protocol was comprehensively described, which was divided into six steps: region division, group leader node selection, local consensus, leader primary node selection, global consensus, and intra-domain broadcast.Then the experiments were analyzed from four aspects: security, communication complexity, consensus algorithm delay and fault tolerance rate.Experiments showed that, compared with other schemes, the proposed protocol can effectively reduce communication complexity and shorten consensus delay under the condition of resisting conspiracy attack, witch attack and other attacks.On the premise of security, the protocol improves fault tolerance rate and enables more nodes to participate in information sharing to satisfy the requirements of Internet of vehicles scenarios.…”
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Integrating SMED and Industry 4.0 to optimize processes with plithogenic n-SuperHyperGraphs by Julio Cesar Méndez Bravo, Claudia Jeaneth Bolanos Piedrahita, Manuel Alberto Méndez Bravo, Luis Manuel Pilacuan-Bonete

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Effect of coarsely quantization on next generation systems with low-density parity check codes by Ehsan Mostafapour, Changiz Ghobadi, Javad Nourinia

“…LDPC (Low-Density Parity-Check) coding has emerged as a key solution in 5 G networks, owing to its low complexity and robust error-correction capabilities. …”
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A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

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An Adaptive Local Time-Stepping Method Applied to Storm Surge Inundation Simulation by Pubing Yu, Tao Ji, Xiuguang Wu, Yifan Chen, Guilin Liu

“…In particular, the simulation of the seawater backflow event in Erjiegou demonstrated the method’s ability to capture both the occurrence time and extent of seawater backflow, confirming its efficiency and reliability in complex hydrodynamic processes. …”
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Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy by Xin Chen, Fang Wang, Yaolin Zhu, Jinni Chen

“…After preprocessing the spectra using maximum–minimum normalization, a model is established based on the successive projection algorithm to select wavelengths. Validation results indicate that this model significantly can improve prediction accuracy and reduce operation time, providing a convenient, rapid, and efficient method for distinguishing between cashmere and wool content.…”
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Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

“…In this paper, we introduce a semi-parametric logistic single-index model for analyzing high-dimensional group testing data, which is particularly flexible in capturing complex nonlinear relationships. The proposed method achieves variable selection by parameter regularization, which proves especially beneficial for extracting relevant information from high-dimensional data. …”
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Green Hydrogen and the Energy Transition: Hopes, Challenges, and Realistic Opportunities by Alessandro Franco

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Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

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Role of Visual Saliency in Video Quality Assessments by Syeda Eesha-Tir-Razia, Qaisar Abbas, Imran Fareed Nizami, Adil Ali Raja, Mutlaq B. Aldajani, Mudasir Wahab, Tallha Akram, Sadiq Ahmad

“…This highlights the effectiveness of visual saliency and feature selection in improving the reliability and efficiency of VQA models, making them more aligned with human perception.…”
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NavBLIP: a visual-language model for enhancing unmanned aerial vehicles navigation and object detection by Ye Li, Li Yang, Meifang Yang, Fei Yan, Tonghua Liu, Chensi Guo, Rufeng Chen

“…Furthermore, NavBLIP employs a multimodal control strategy that dynamically selects context-specific features to optimize real-time performance, ensuring efficiency in high-stakes operations.Results and discussionExtensive experiments on benchmark datasets such as RefCOCO, CC12M, and Openlmages reveal that NavBLIP outperforms existing state-of-the-art models in terms of accuracy, recall, and computational efficiency. …”
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Importance of the CuAAC Reaction in the Synthesis of Platinum Complexes with 1,4-Disubstituted-1<i>H</i>-1,2,3-triazoles: A Review of Their Anticancer Activity by Delia Hernández-Romero, Sharon Rosete-Luna, Enrique Méndez-Bolaina, Elena de la C. Herrera-Cogco, Luis P. Amador-Gómez, Anell Soto-Contreras, José M. Rivera-Villanueva, Raúl Colorado-Peralta

“…This reaction allows the easy, efficient, functional, ordered, rapid, selective, and specific joining of small molecules, giving rise to more complex molecules. …”
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STRUCTURAL GLOBAL SENSITIVITY METHOD BASED ON PARTIAL DERIVATIVE WHOLE DOMAIN INTEGRAL by TU LongWei, LIU Jie, LIU GuangZhao, ZHANG Zheng

“…Numerical example 2 illustrates the validity of the proposed method for complex high-dimensional model. Engineering example demonstrates the applicability and effectiveness of the present method for complex engineering structure problems.…”
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Hydrodynamic performance of a novel suturelessprosthetic aortic valve by K. Yu. Klyshnikov, E. A. Ovcharenko, Yu. A. Kudryavtseva, L. S. Barbarash

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Surface Charge Transfer Enhanced Cobalt‐Phthalocyanine Crystals for Efficient CO2‐to‐CO Electroreduction with Large Current Density Exceeding 1000 mA cm−2 by Tengyi Liu, Di Zhang, Yutaro Hirai, Koju Ito, Kosuke Ishibashi, Naoto Todoroki, Yasutaka Matsuo, Junya Yoshida, Shimpei Ono, Hao Li, Hiroshi Yabu

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Use of granular computing for resource optimization in IoT networks by Jaime Govea, Rommel Gutierrez, William Villegas-Ch

“…However, this proliferation introduces complex challenges in efficiently managing limited resources—such as bandwidth, energy, and processing capacity, especially in dynamic and heterogeneous IoT networks. …”
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The evolutionary game equilibrium theory on power market bidding involving renewable energy companies by Lefeng Cheng, Pan Peng, Wentian Lu, Jian Sun, Fan Wu, Mingming Shi, Xiaodong Yuan, Yang Chen

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Smart 3D-printed facades: a review of innovations, materials, and sustainable performance by Dan-Radu Baraboi, Luminița Maria Scutaru, George Dragomir, Alin Ionuț Brezeanu, Răzvan Calotă, Mihaela Pavel, Gabriel Năstase

“…The selection of sustainable and high-performance materials is crucial for optimizing energy efficiency, durability, and environmental impact. …”
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