EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery by Isaac Nkrumah, Maryam Moshrefizadeh, Omar Tahri, Erik Blasch, Kannappan Palaniappan, Hadi AliAkbarpour

“…These capabilities allow ECs to overcome challenges such as glare, uneven lighting, and low-light conditions that are common in aerial imaging and remote sensing, while also extending UAV flight endurance. To evaluate the effectiveness of ECs in WAMI, we simulate event data from RGB WAMI imagery and integrate them into SfM pipelines for camera pose optimization and 3D point cloud generation. …”
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Evaluating the automated measurement of abnormal rising and lying down behaviours in dairy cows using 3D pose estimation by Adrien Kroese, Niclas Högberg, Elena Diaz Vicuna, David Berthet, Nils Fall, Moudud Alam, Lena-Mari Tamminen

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Hybrid Four Vector Intelligent Metaheuristic with Differential Evolution for Structural Single-Objective Engineering Optimization by Hussam N. Fakhouri, Ahmad Sami Al-Shamayleh, Abdelraouf Ishtaiwi, Sharif Naser Makhadmeh, Sandi N. Fakhouri, Faten Hamad

“…This paper introduces FVIMDE, a novel hybrid optimization algorithm that synergizes the Four Vector Intelligent Metaheuristic (FVIM) with Differential Evolution (DE). The FVIMDE algorithm is rigorously tested and evaluated across two well-known benchmark suites (i.e., CEC2017, CEC2022) and an additional set of 50 challenging benchmark functions. …”
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Evolution of the Structure of Double-Layer Technology Cooperation-Transfer Networks and Its Impact on Innovation Capabilities by Chen Yuling, Xing Hexiang, Du Debin

“…It characterizes the basic evolutionary features of this double-layer network, analyzes the structural development differences between the collaboration and transfer subnetworks, investigates the dynamics of their coupling evolution, and explores the spatial spillover effects of the dual-layer network structure on urban innovation capacity. …”
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Realistic Speech-Driven Talking Video Generation with Personalized Pose by Xu Zhang, Liguo Weng

“…We take a random sampling of audio clips, encode audio contents and temporal correlations using a more effective network structure, and optimize and iterate network outputs using differential loss and attitude perception loss, so as to obtain a smoother pose key-point sequence and better performance. …”
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Evolution Characteristics of China's Big Food Concept Economic Statistics Data Under the Perspective of Food Security by Dafang WU, Quanyan WANG, Shuaishuai JIA

“…The food consumption structure and grain consumption structure of Chinese residents have undergone fundamental changes. …”
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Evolution of carbapenemase activity in the class C β-lactamase ADC-1 by Nichole K. Stewart, Marta Toth, Monolekha Bhattacharya, Clyde A. Smith, Sergei B. Vakulenko

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Decoding the mitogenome of rosemary (Salvia rosmarinus): insights into genome evolution, structural dynamics and prospects for mitochondrial engineering by Yuqing Feng, Yonghui Liu, Jizhe Han, Yanbo Huang, Joongku Lee, Goro Kokubugata, Zhechen Qi, Xiaoling Yan

“…The mitogenome exhibits a typical circular structure with evidence of frequent recombination, providing valuable insights into Salvia mitochondrial genetics, genome evolution, and molecular biology.…”
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Synergistic application of molecular docking and machine learning for improved binding pose by Li Yaqi, Lin Hongrui, Yang He, Yuan Yannan, Zou Rongfeng, Zhou Gengmo, Zheng Linfeng, Zheng Hang

“…This strategy harnesses the predictive power of machine learning and the physical constraints advantage of molecular docking. Evaluation experiments on multiple datasets demonstrate that, compared to using molecular docking or machine learning methods alone, our proposed strategy can significantly improve the success rate and accuracy of protein-ligand complex structure predictions.…”
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SAGCN: Self-Attention Graph Convolutional Network for Human Pose Embedding by Zhongxiong Xu, Jiajun Hong, Yicong Yu, Chengzhu Lin, Linfei Yu, Meixian Xu

“…While traditional convolutional neural networks (CNNs) have advanced pose feature extraction, they struggle to model structural relationships and long-range dependencies between keypoints, and are less robust to occlusions. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

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Evolution characteristics of overburden structure in inclined fully mechanized caving under residual coal pillars of the upper layer by LIU Yong, WANG Hongwei, WU Xuesong, TIAN Chengpeng, GUAN Rongfu, NIE Yunxiao, FAN Zhiwei, CAO Peipei

“…The overburden of the inclined working face was categorized into internal and external fields, and the evolution characteristics of the overburden structure when the lower fully mechanized caving face crossed the residual coal pillars were revealed. …”
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Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…Human pose estimation (HPE) is designed to detect and localize various parts of the human body and represent them as a kinematic structure based on input data like images and videos. …”
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Reviewing 6D Pose Estimation: Model Strengths, Limitations, and Application Fields by Kostas Ordoumpozanis, George A Papakostas

“…This study aims to create a model selection guide by addressing key questions we need to answer when we want to select a 6D pose estimation model: inputs, modalities, real-time capabilities, hardware requirements, evaluation datasets, performance metrics, strengths, limitations, and special attributes such as symmetry or occlusion handling. …”
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Structural degradation and permeability evolution of red sandstone under dry-wet cycles in the Baihetan hydropower station reservoir area by Shizhe LIN, Xinli HU, Haiyan ZHANG, Ningjie LI, Xinyu LIU

“…This leads to their deterioration and damage, posing a great threat to the stability of the bank slopes. …”
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A Hair Drawing Evaluation Algorithm for Exactness Assessment Method in Portrait Drawing Learning Assistant System by Yue Zhang, Nobuo Funabiki, Erita Cicilia Febrianti, Amang Sudarsono, Chenchien Hsu

“…However, it is challenging for novices to start learning it, as they usually lack a solid grasp of proportions and structural foundations of the five senses. To address this problem, we have studied <i>Portrait Drawing Learning Assistant System (PDLAS)</i> for guiding novices by providing <i>auxiliary lines</i> of facial features, generated by utilizing <i>OpenPose</i> and <i>OpenCV</i> libraries. …”
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EPLC-Pose: A Lightweight Student Posture Recognition Network Under Panoramic Classroom by Yanhong Ji, Yibo Jin, Zuxuan Wang, Suyan Tan

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Psychometric evaluation of a structured assessment tool for nurse anesthetists’ non-technical skills by Martin Jarl, Cecilia Escher, Piotr Harbut, Helen Conte, Ulrica Nilsson

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Phase formation and texture evolution in 316L-CuCrZr multi-material structures fabricated by laser powder bed fusion by Antonios Baganis, Florencia Malamud, Jan Čapek, Fedor F. Klimashin, Efthymios Polatidis, Matteo Busi, Miroslav Šmíd, Michal Jambor, Johann Michler, Markus Strobl, Christian Leinenbach

“…Steel-copper multi-material structures produced via Additive Manufacturing pose challenges in laser co-processing and microstructural control. …”
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AMT-Net: Adversarial Motion Transfer Network With Disentangled Shape and Pose for Realistic Image Animation by Nega Asebe Teka, Kumie Gedamu Alemu, Maregu Assefa, Feidu Akmel, Zhenting Zhou, Weijie Wu, Jianwen Chen

“…Thus, we propose an Adversarial Motion Transfer Network with a disentangled Shape and Pose representation for realistic image Animation (AMT-Net), utilizing an encoder-decoder adversarial structure. …”
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