The Impact of Offshore Wind Farm Construction on Maritime Traffic Complexity: An Empirical Analysis of the Yangtze River Estuary by Jian Liu, Wenbo Yu, Zhongyi Sui, Chunhui Zhou

“…These areas, characterized by complex interactions among diverse ship types and spatial constraints, require advanced situational awareness to prevent collisions and ensure efficient operations. Traditional maritime traffic systems often lack the granularity to assess the multifaceted risks around OWFs. …”
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Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies by Hadi Hikmadyo Bisono, Ema Utami

“…While EVs offer advantages such as energy efficiency, reduced carbon emissions, and lower operating costs, selecting the right electric vehicle for a logistics company is not a straightforward task. …”
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New discrete memristive hyperchaotic map: modeling, dynamic analysis, and application in image encryption by Fei Yu, Yiya Wu, Xuqi Wang, Ting He, ShanKou Zhang, Jie Jin

“…The purpose of this study is to address the limitations of existing image encryption methods and develop a more secure and efficient image encryption scheme. To achieve this, we adopt a research method that involves constructing a new type of discrete memristor hyperchaotic map by coupling an upgraded cosine discrete memristor with the Cubic map, and then conducting in-depth analysis of the system’s dynamic characteristics using phase diagrams, Lyapunov exponential spectra, and bifurcation diagrams to confirm its ability to reach a hyperchaotic state. …”
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Bismuth sensitized iron oxide on exfoliated graphene oxide (Bi–Fe2O3@GO) for oxygen evaluation reaction by Akhtar Munir, Shaheer Jamal, Humaira Yasmeen Gondal, Javed Iqbal, Aamir Hussain, Arslan Aziz, Mahammad Nisar, Muhammad Zubair, Abdul Momin, Ali Haider

“…However, the demand for high anodic potential and sluggish kinetics of oxygen evolution reaction (OER) restrict the efficiency and feasibility of the water-splitting process. …”
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Photocatalytic performance of cuttle fish bone nano-membrane adsorbents for water remediation by Peeyush Phogat, Shreya, Ranjana Jha, Sukhvir Singh

“…CFB demonstrated a high degradation efficiency of malachite green dye, achieving a 92% reduction within 120 min under optimized conditions. …”
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Multiple color images security by SPN over the residue classes of Gaussian integer $$\:Z{\left[i\right]}_{h}$$ by Muhammad Sajjad, Tariq Shah, Rafik Hamza, Bander Almutairi, Robinson Julian Serna

“…The incorporation of these Gaussian-integer-based S-boxes into the SPN scheme makes it possible for each image channel to be transformed independently but mutually connected to produce a secure and efficient encryption function. The analysis of outcomes proves the efficiency of the developed method; the viability of its application for multi-image encryption with high entropy, low correlation and increased resistance to a variety of attacks. …”
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A novel mechanism-guided residual network for accurate modelling of scroll expander under noisy and sparse data conditions by Xiaoshuang Lv, Xin Ma, Wei Peng, Ke Li, Chengdong Li

“…Then, a hybrid optimization algorithm is detailed, which can achieve efficient and accurate updating of the parameters of the network and mechanistic equations. …”
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Design and application of human-computer interaction visual communication platform for Guandong culture by integrating RF and light GBM algorithm by Qiao Wu, Ying Jin

“…Light gradient boosting machine performed excellently and had high computational efficiency when processing large-scale data through an efficient gradient boosting framework. …”
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Simultaneous removal of dye and oil constituents from synthetic emulsion using greenly synthesized ZrO2/ZnO/AC nanocomposites by Enshirah Da'na, Amel Taha, Zakaria Al-Qodah, Hanaa A. Hassanin

“…This work aims to enhance the efficiency of activated carbon in removing both organic dyes and edible oil by incorporating a greenly synthesized ZrO2/ZnO nanocomposite over the surface of commercial activated carbon. …”
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Three-Stage Channel Split Dense Fusion Network for Single Image Deraining by ZHANG Shuting, WANG Changyue, WANG Changzhong, LENG Qiangkui

“…CSB uses channel split operation to split the rainy image into multiple channels, and applies different rain streaks removal methods according to different levels of features to reduce redundant features and network parameters, and improve the performance ability and computational efficiency of the model. …”
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Lightweight Road Environment Segmentation using Vector Quantization by J. Kwag, A. Yilmaz, C. Toth

“…Numerous works based on Fully Convolutional Networks (FCNs) and Transformer architectures have been proposed to leverage local and global contextual learning for efficient and accurate semantic segmentation. In both architectures, the encoder often relies heavily on extracting continuous representations from the image, which limits the ability to represent meaningful discrete information. …”
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Inverse Analysis of Thermal Parameters of Arch Dam Concrete Based on Walrus Optimization Algorithm by Youle Wang, Zhengjian Miao, Rui Song, Junchi Zhou, Yuheng Pan, Feng Wang

“…We bring the inversion results into different dam sections to calculate the temperature field during construction, which effectively verifies the efficient solution ability of the WaOA for the inverse analysis of concrete thermal parameters under complex engineering backgrounds.…”
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Thermodynamic optimization of a multi-generation system integrating gas turbine-helium reactor cycle with hydrogen production and desalination by Yang Wang, Yuliang Chen, Zhen Su

“…The overall thermal and exergy efficiencies reach 74.98 % and 51.62 %, respectively. …”
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Rapid Detection of Deployment Errors for Segmented Space Telescopes Based on Long-Range, High-Precision Edge Sensors by Jisong Jiang, Xinlong Fan, Chenxu Li, Yuanyuan Tang, Shengqian Wang, Hao Xian, Mo Chen

“…These sensors feature a measurement range of ±13 mm, with a precision better than 7.3 nm, enabling efficient and simultaneous error detection across all segments. …”
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Development Model of E-Budgeting and E-Reporting System on the Management of Village Fund Finance by Supanji Setyawan, Nuwun Priyono, Chaidir Iswanaji

“…This study aims to analyze the ability of villages in conducting village funds management and subsequently develop e-budgeting and e-reporting system for the realization efficiency of the village fund allocation in Balesari Village. …”
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Investigating barriers to green human resource management implementation at a South African government department by Farai Nyika, Precious Nompumelelo Nqobile Nkosi-Mahla, Khalida Akbar

“…Practical implications: The findings highlight the critical role of effective leadership, efficient distribution of resources, and adherence to regulations in fostering GHRM, increasing resistance to climate change, and enabling development programs targeted towards young people and lead to greater efficiency in the South African public service. …”
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Fast and accurate obstacle detection based on stereo vision and deep learning by S. Badrloo, S. Badrloo

“…The ability to detect and avoid obstacles is essential for ensuring the safe and efficient navigation of mobile robots. …”
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Machine learning models in enhancing prediction of health-related indices among older adults: A scoping review by Raoof Nopour

“…Background: Early prediction of health indices based on these statuses is crucial in enhancing older people's status and achieving an efficient preventive strategy. A predictive analysis will be essential in better predicting health-related indices. …”
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Enabling Future Maritime Traffic Management: A Decentralized Architecture for Sharing Data in the Maritime Domain by Dennis Höhn, Lorenz Mumm, Benjamin Reitz, Christina Tsiroglou, Axel Hahn

“…Effective data utilization is crucial for data-driven services such as for highly automated maritime systems and efficient traffic coordination. However, these applications depend on heterogeneous, distributed data sources managed by different actors, making secure and sovereign information sharing difficult. …”
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A Sonar Image Target Detection Method with Low False Alarm Rate Based on Self-Trained YOLO11 Model by Jingqi HAN, Mingxing NAN, Peng ZHANG, Jiajie CHEN, Zhengliang HU

“…Autonomous detection of sonar image targets is a key technology for unmanned undersea systems, but it faces the challenge of high false alarm rates in practical applications, which limits the quality and efficiency of mission execution by unmanned underwater systems. …”
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