An improved pelican optimization algorithm for function optimization and constrained engineering design problems by Haval Tariq Sadeeq, Araz Abrahim, Thamer Hameed, Najdavan Kako, Reber Mohammed, Dindar Ahmed

“…Metaheuristics have become indispensable tools in both academia and industry, helping researchers and practitioners address real-world problems efficiently and effectively. The Pelican optimization algorithm (POA) is a recently developed metaheuristic algorithm that simulates the hunting behavior of pelicans. …”
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Efficacy of Lockdowns in Africa by Daglous Makumbe

“…Whilst lockdowns were effective in western countries, in the African continent, it was a different case. Although there was a willingness to institute lockdowns in Africa, the context made it almost impossible for many countries to effectively and efficiently do so. …”
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Title not available by AlaaEldin Mohamed Hisham Elnenay, Ehssan Nassef, Gehan Farouk Malash, Mohamed Hussein Abdel Magid

“…The new anode design of electrocoagulation cell permits high efficiencies with lower energy consumption in comparison with the other cell design used in previous studies.…”
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A Fractal Curve-Inspired Framework for Enhanced Semantic Segmentation of Remote Sensing Images by Xinhua Wang, Botao Yuan, Zhuang Li, Heqi Wang

“…Finally, we introduce an aggregation layer that combines the upsampling method from the UNet series, employing the multi-scale censoring of multi-dimensional feature map outputs from various layers to efficiently capture both spatial and feature information. …”
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A Novel Hierarchical Clustering Algorithm Based on Density Peaks for Complex Datasets by Rong Zhou, Yong Zhang, Shengzhong Feng, Nurbol Luktarhan

“…Clustering aims to differentiate objects from different groups (clusters) by similarities or distances between pairs of objects. …”
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Reliability Analysis of Structures by Iterative Improved Ensemble of Surrogate Method by Bolin Liu, Liyang Xie

“…Therefore, to save the cost of constructing the surrogate and improve the prediction accuracy, an ensemble strategy is proposed in this paper for efficiently analyzing the structural reliability. The values of the weights are obtained by a recursive process and the leave-one-out technique, in which the values are updated in each iteration until a given prediction accuracy is achieved. …”
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Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning by Wenhao Zhou, Faqiang Liu, Hao Zheng, Rong Zhao

“…Here, we introduce shortcut hull learning, a diagnostic paradigm that unifies shortcut representations in probability space and utilizes diverse models with different inductive biases to efficiently learn and identify shortcuts. …”
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Adaptive Variable Neighborhood Search-Based Supply Network Reconfiguration for Robustness Enhancement by Ping Lou, Yuting Chen, Song Gao

“…To solve the problem effectively and efficiently, a new heuristic based on general variable neighborhood search, namely, AVNS, is proposed. …”
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Education Paradigm Shifts in the Age of AI: A Spatiotemporal Analysis of Learning by Ruojun Zhong (仲若君), Yong Zhao (赵勇)

“…Pedagogical practices that aim to efficiently implement the prescribed curriculum force and tempt students to spend all available time on the prescribed curriculum and extend work on the prescribed curriculum beyond classrooms through time concentration. …”
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Development of a Time Domain Identification Algorithm with a Spectral Objective Function by Oleg N. Korsun, Moung Htang Om

“…A modified Newton’s method is employed to efficiently minimize the objective function in frequency domain, yielding optimal estimates for the lateral aerodynamic derivatives and delays. …”
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Random Cyclic Triangle-Free Graphs of Prime Order by Yu Jiang, Meilian Liang, Yanmei Teng, Xiaodong Xu

“…The structure of a cyclic triangle-free graph of the prime order is different from that of composite integer order. Cyclic graphs of prime order have better properties than those of composite number order, which enables generating cyclic triangle-free graphs more efficiently. …”
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LDPC FEC Code Extension for Unequal Error Protection in DVB-T2 System: Design and Evaluation by Lukasz Kondrad, Imed Bouazizi, Moncef Gabbouj

“…As consequence, unequal error protection transmission scheme at a physical layer of DVB-T2 can be efficiently deployed. The paper provides a step-by-step description of the design procedure of the extension. …”
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Los recursos audiovisuales digitales utilizados por los profesores en la educación secundaria by Orlando González-Gómez, María Esperanza Rodríguez-Suárez, Rosy Reyes-Pinilla

“…The study underscores the need to provide support and training to educators so they can efficiently use technology in the classroom, which will allow them to significantly renew their instructional methods. …”
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Fintech and banking sector dynamics: Exploring the long-term connectedness between Fintech and themed stock indices across five global markets by Rosa Galvão, Rui Dias, Paulo Alexandre

“…The study’s implications suggest that assets behave differently in different market conditions, so investors must adapt their asset allocation strategies to manage risk efficiently and build resilient investment portfolios. …”
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Network and Dataset for Multiscale Remote Sensing Image Change Detection by Shenbo Liu, Dongxue Zhao, Yuheng Zhou, Ying Tan, Huang He, Zhao Zhang, Lijun Tang

“…A multiscale convolution module (MSCM) is investigated, and combined with MSCM, an encoder capable of capturing features of different sizes is designed to efficiently extract multiscale semantic change features. …”
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Improving phenolics extractability from pomegranate seed meal applying roasting and cold plasma pretreatment; their application in mayonnaise as antioxidant and antimicrobial agent... by Leila Ghasemi-Nezhad, Sayed Amir Hossein Goli, Sabihe Soleimanian-Zad

“…The purpose of this work was to extract phenolic compounds efficiently from pomegranate seed meal (PSM), a by-product of oil extraction. …”
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Hippocampal-entorhinal cognitive maps and cortical motor system represent action plans and their outcomes by Irina Barnaveli, Simone Viganò, Daniel Reznik, Patrick Haggard, Christian F. Doeller

“…Abstract Efficiently interacting with the environment requires weighing and selecting among multiple alternative actions based on their associated outcomes. …”
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Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies by Leonidas Theodorakopoulos, Aristeidis Karras, Alexandra Theodoropoulou, Georgios Kampiotis

“…These performance characteristics emphasize how the capabilities of graph processing systems can match the requirements for the performance of different emerging technology applications. Our findings ultimately inform practitioners about system efficiencies and limitations, but also the recent advances in hardware accelerators and algorithmic improvements aimed at shaping the new graph processing frontier in diverse technology domains.…”
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Inverse Kinematics for Robotic Manipulators via Deep Neural Networks: Experiments and Results by Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer

“…The results demonstrate the potential of DNNs to efficiently solve the IK problem while avoiding issues such as singularities, competing with traditional methods in precision and speed.…”
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Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature by Lizhi Zhang, Qiang Zhang, Qianqian Yang, Linwei Yue, Jiang He, Xianyu Jin, Qiangqiang Yuan

“…To address this, we propose a deep learning model for near-real-time wildfire detection, where the core idea is to integrate multi-scale spatial–temporal features (MSSTF) to efficiently capture the dynamics of wildfires. Specifically, we design a multi-kernel attention-based convolution (MKAC) module for extracting spatial features representing the differences between fire and non-fire pixels within multi-scale receptive fields. …”
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