A Study on Systematic Improvement of Transformer Models for Object Pose Estimation by Jungwoo Lee, Jinho Suh

“…Additionally, GQA and RMS normalization enhance multi-object pose estimation performance, resulting in reduced memory usage and improved training accuracy. …”
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Development of a Training Content Index System for Pressure Injury Prevention Training Programs for Healthcare Assistants in Tertiary Hospitals by Zhu YY, Zhang CX, Wang L, He JA, Yan JJ, Liu J

“…Yan-Ying Zhu,1,* Cai-Xiang Zhang,1,* Lin Wang,1 Jin-Ai He,2 Jia-Jie Yan,3 Jing Liu4 1Extended Nursing, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of China; 2The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of China; 3Center for Bone, Joint and Sports Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of China; 4School of Economics and Management, Changjiang Institute of Technology, Wuhan, 430212, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yan-Ying Zhu, Extended Nursing, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of China, Tel +86-020-38688204, Email zhuyanying7396@126.comObjective: This study aims to develop an index system for a pressure injury prevention training program specifically designed for healthcare assistants in tertiary hospitals, providing a theoretical basis for training initiatives. …”
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Young Stellar Objects in the Carina Nebula: Near-infrared Variability and Spectroscopy by Jura Borissova, Radostin Kurtev, Josemanuel Escobar, Javier Alonso-García, Nicolas Medina, Javier Osses, Zhen Guo, Philip W. Lucas, Michael Kuhn, Dante Minniti, Kevin R. Covey, Roberto K. Saito, Francisco Förster

“…We present a catalog of 652 young stellar objects (YSOs) in the Carina star-forming region. …”
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Configural processing as an optimized strategy for robust object recognition in neural networks by Hojin Jang, Pawan Sinha, Xavier Boix

“…These findings with letter stimuli successfully extend to naturalistic face images. Our results demonstrate that configural processing emerges in a naíve network based on task contingencies, and is beneficial for robust object processing under varying viewing conditions.…”
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Algorithm for Constructing the Hazard Function of the Extended Cox Model and its Application to the Prostate Cancer Patient Database by I. I. Mikulik, G. M. Zharinov, A. Yu. Kneev

“…The presented work is aimed at solving this problem. The object of study is the extended Cox model, in which the hazard function includes a nonlinear combination of features.Materials and Methods. …”
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Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy by Andrea Moglia, Luca Marsilio, Matteo Rossi, Maria Pinelli, Emanuele Lettieri, Luca Mainardi, Alfonso Manzotti, Pietro Cerveri

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Framework for the Multi-Objective Optimization of Hybrid Fuel Cell System Design and Operation by Luis M. Winkler, Alexander Kabza, Michael A. Danzer, Herbert Palm

“…For this purpose, an open-source object-oriented FCS model was extended to include cell degradation effects at stack level and power train components at system level. …”
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Complete Object-Compositional Neural Implicit Surfaces With 3D Pseudo Supervision by Wongyeom Kim, Jisun Park, Kyungeun Cho

“…Furthermore, to reconstruct scenes and individual objects separately, some studies have extended the framework for object-compositional neural implicit surface reconstruction by utilizing 2D instance masks to supervise the SDF of each object. …”
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Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials by Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, Rick van Essen, João Valente

“…While most research concentrates on data processing algorithms, this study focused on the preceding step: collecting reliable data. Object detection and tracking enable precise monitoring and quantification of fruit, facilitating agricultural management. …”
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Research on intelligent energy management strategies for connected range-extended electric vehicles based on multi-source information by Xuewen Zhai, Hanwu Liu, Wencai Sun, Zihang Su

“…To achieve the application of multi-source traffic information and enhance the timeliness in multi-objective optimization (MOO) for connected automated range-extended electric vehicles (CAR-EEV), this paper proposes an intelligent energy management strategy (EMS) from a multi-objective perspective. …”
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FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image by Siyuan Zhao, Yong Kang, Hang Yuan, Guan Wang, Hui Wang, Shichao Xiong, Ying Luo

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Research on blindsight technology for object recognition and attitude determination based on tactile pressure analysis by Chen Li, Li HuiJun, Song Aiguo

“…Practical experiments demonstrate that the proposed method for rapid analysis and extended posture determination of the grasping surface based on CNNs can achieve millimeter-level precision in grasping position determination and a two-dimensional posture angle of less than 1 degree for the grasped object, generally meeting the requirements of power system business scenarios. …”
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Guest Editorial: Anomaly detection and open‐set recognition applications for computer vision by Hakan Cevikalp, Robi Polikar, Ömer Nezih Gerek, Songcan Chen, Chuanxing Geng

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AG-Yolo: Attention-Guided Yolo for Efficient Remote Sensing Oriented Object Detection by Xiaofeng Wang, Chengshan Han, Liang Huang, Ting Nie, Xin Liu, Hao Liu, Mingxuan Li

“…Remote sensing can efficiently acquire information and is widely used in many areas. Object detection is a key component in most applications. …”
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Camscribe: Enhanced Dashcam Video Descriptions Through Multimodal Spatiotemporal and Object Detection for Autonomous Vehicles by Muhammad Rafiq, Mankyu Sung, Ghazala Rafiq, Gyu Sang Choi

“…., spatial features, temporal dynamics, and object-level semantics, to enhance description quality through the incorporation of fine-grained object information, resulting in more effective and semantically meaningful outputs. …”
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IMPACT OF AUGMENTED REALITY-BASED NEURONAVIGATION ON NEUROSURGICAL EDUCATION AND TRAINING by Aydın Aydoseli, Sefa Öztürk, Eren Andıç, Mustafa Selim Şahin, Tahir Kaplan, Çağatay Ündeğer

“…Objective: Integrating technology into surgical training enhances learning experiences. …”
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A Swarm-Based Multi-Objective Framework for Lightweight and Real-Time IoT Intrusion Detection by Hessah A. Alsalamah, Walaa N. Ismail

“…Furthermore, PSO integrates Pareto-based multi-objective optimization directly into the particle swarm framework, extending conventional swarm intelligence while preserving a diverse set of non-dominated solutions. …”
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Comparison of Carbapenem vs. Amikacin Antimicrobial Therapy for Pediatric Acute Pyelonephritis Caused by Extended-Spectrum Β-Lactamase-Positive Enterobacteriaceae by Burcu Ceylan Cura Yayla, Tuğba Bedir Demirdağ, Anıl Tapısız, Yeşim Özdemir Atikel, Hasan Tezer, Elif Ayça Şahin, Kayhan Çağlar, Sevcan A. Bakkaloğlu, Necla Buyan

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Machine learning prediction of extended length of stay following endoscopic decompression for lumbar spinal stenosis: A retrospective cohort study by Fuqiang Tan, Xiaobin Li, Chaoyang Qu, Xin Shu, Xu Peng

“…Objective The aims of this study were to develop and validate interpretable ML models for extended length of stay (eLOS) prediction following endoscopic lumbar spinal stenosis (LSS) decompression, and identify modifiable risk factors influencing healthcare costs and recovery. …”
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How can selection of biologically inspired features improve the performance of a robust object recognition model? by Masoud Ghodrati, Seyed-Mahdi Khaligh-Razavi, Reza Ebrahimpour, Karim Rajaei, Mohammad Pooyan

“…These object parts are used for training procedure in the model and have an important role in object recognition. …”
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