Research on lightweight pose estimation networks for classroom behavior recognition by XUE Tao, CAO Zherui, ZHOU Qianming

“…Although existing lightweight models achieve commendable real-time performance, they fall short in accuracy when dealing with the complex scenarios typical of classroom environments, failing to meet practical requirements. …”
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An ambitious 5-year honors program in French universities: CMI-FIGURE by Ramona Barbour Eisen, Yves Bertrand, Lamine Boubakar, Jean-Pierre Gesson, Sylvie Pautrot, Rodolphe Vauzelle

“…Overseen by the FIGURE university network since 2012, CMI is a 5-year academic program designed for the most ambitious students in systems engineering. In the fall of 2017, 107 CMI programs recruited first-year students in 28 French universities. …”
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MHO: A Modified Hippopotamus Optimization Algorithm for Global Optimization and Engineering Design Problems by Tao Han, Haiyan Wang, Tingting Li, Quanzeng Liu, Yourui Huang

“…However, the traditional HO algorithm may encounter performance degradation and fall into local optima when dealing with complex global optimization and engineering design problems. …”
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AMBWO: An Augmented Multi-Strategy Beluga Whale Optimization for Numerical Optimization Problems by Guoping You, Zengtong Lu, Zhipeng Qiu, Hao Cheng

“…The adaptive population learning strategy is proposed to improve the global exploration capability of BWO. …”
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Multi-source image feature extraction and segmentation techniques for karst collapse monitoring by Wenbo Lin, Xiao Li, Tingting Li

“…Traditional approaches often fall short in delivering timely and accurate evaluations of collapse risks.MethodsTo address these challenges, we propose the Integrated Karst Collapse Prediction Network (IKCPNet), a novel framework that combines multi-source imaging, geophysical modeling, and machine learning techniques. …”
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Symbiotic star candidates in Gaia Data Release 3 by Samantha E. Ball, Benjamin C Bromley, Scott J. Kenyon

“…A machine-learning algorithm, trained on known symbiotic stars, produced a new catalog of 1,674 sources. …”
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Path Planning for Wall-Climbing Robots Using an Improved Sparrow Search Algorithm by Wenyuan Xu, Chao Hou, Guodong Li, Chuang Cui

“…This paper proposes an improved sparrow search algorithm based on logistic–tent chaotic mapping and differential evolution, aimed at addressing the issue of the sparrow search algorithm’s tendency to fall into local optima, thereby optimizing path planning for bridge inspection. …”
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TBKIN: Threshold-based explicit selection for enhanced cross-modal semantic alignments. by Zihan Guo, Xiang Shen, Chongqing Chen

“…While existing methods leverage intra-modal and cross-modal knowledge to enhance alignments, they often fall short in sufficiently reducing interference, which ultimately constrains model performance. …”
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A Social Media Supported Distance Education Application for the Building Cost Course Given in Civil Engineering Education During the COVID 19 Quarantine by Latif Onur Uğur, Kadir Penbe

“…It was preferred to reinforce the importance of Self-Learning / Study practices. …”
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A multivariate time series prediction model based on the KAN network by Yunji Long, Xue Qin

“…Although mainstream deep learning models like RNNs and CNNs have made some progress in capturing short-term patterns, they still fall short in handling long-range dependencies and complex interactions. …”
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Research on Multi-peak MPPT of Photovoltaic Array Based on Improved ICA Algorithm by ZANG Xiaodi, LIU Lu

“…To solve the problem that the global extreme value tracking of photovoltaic array under multi-peak is easy to fall into local optimization, this paper proposes a multi-peak maximum power point tracking (MPPT) scheme of photovoltaic array based on an improved imperialist competitive algorithm (ICA) by exploring the applicability of standard ICA in the MPPT of photovoltaic array under local shadow. …”
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Social–Emotional Competence for Children with Identified Developmental Concerns: The Impact of Parenting and Executive Function by Courtney Boise, Lisa L. Knoche

“…However, higher levels of conflict displayed by parents in the fall of the first year of preschool predicted more conflict during the spring of the same year. …”
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Novel Multimodal Fusion Algorithm for Non-Intrusive Anxiety Detection by Mahir Shadid, Mushfiqus Salehin Afnan, Rashed Mustafa, M. Jamshed Alam Patwary

“…Traditional approaches relying solely on unimodal data often fall short, potentially introducing bias and inaccuracies. …”
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Beyond the Arbitrariness of Drug-Likeness Rules: Rough Set Theory and Decision Rules in the Service of Drug Design by Grzegorz Miebs, Adam Mielniczuk, Miłosz Kadziński, Rafał A. Bachorz

“…Lipinski’s Rule of Five and Ghose filter are empirical guidelines for evaluating the drug-likeness of a compound, suggesting that orally active drugs typically fall within specific ranges for molecular descriptors such as hydrogen bond donors and acceptors, weight, and lipophilicity. …”
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Implementation of a trauma and violence informed care elective to supplement early medical education by Trisha Agarwal, Anima Shrestha, Natasha Garamani, Rachael Williams

“…We implemented a Trauma and Violence Informed Care (TVIC) elective for first-year medical students at the University of Colorado School of Medicine during Fall 2022. Seventeen first-year medical students enrolled in the elective. …”
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Automated LoD-3 Reconstruction Using Oblique UAV Images by H. S. Kim, J. Carpenter, J. Jung

“…However, existing methodologies often fall short in reconstructing detailed building facades necessary for Level of Detail (LoD) 3 modeling. …”
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SCIENCES PRACTICUM IN THE COVID-19 PANDEMIC ERA BY USING A VIDEO TRACKER by Dyah Permata Sari, Wahono Widodo, Madlazim Madlazim

“…In this paper, we show how a video tracker has been effective in achieving straight motion practicum and determining the moon gravity by using e-learning, group discussion, free fall motion video analysis on the moon's gravity acceleration. …”
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Optimization Algorithm of Neural Network Structure Based on Adaptive Genetic Algorithm by XILiang, WANGRui dong

“…The experiment show that the algorithm for traditional neural network algorithm for function fitting better test; on breast_cancer dataset, the accuracy is 97 57% and the detect errors is 2 07%,better than the classical machine learning algorithms…”
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Thinking Outside of The Box! It Is High Time - Riddance of Archaic Methodology by The Honorable M. Nawaz Wahla

“… The overarching objective of this opinion piece is endlessly learning and adjusting to the challenges of the modern academic world. …”
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Modeling extensive defects in metals through classical potential-guided sampling and automated configuration reconstruction by Fei Shuang, Kai Liu, Yucheng Ji, Wei Gao, Luca Laurenti, Poulumi Dey

“…However, existing machine learning interatomic potentials (MLIPs) often fall short in adequately describing these defects, as their large characteristic scales exceed the computational limits of first-principles calculations. …”
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