Investigations into the Rock Dynamic Response under Blasting Load by an Improved DDA Approach by Biting Xie, Xiuli Zhang, Hao Wang, Yuyong Jiao, Fei Zheng

“…The discontinuous numerical models are commonly applied due to the advantages in modeling fragmentation and treating discontinuities. …”
Get full text

Improved Fixed-Time Attitude Tracking Control for Quadcopter Unmanned Aerial Vehicles by Xuan Nguyen, Sun Myung Won, Truong Dong do, Sung Kyung Hong

“…Second, based on the dynamical model, an improved fixed-time sliding mode controller is proposed. …”
Get full text

Video Analysis and Frame Prediction Based on Improved Object Detection and ConvGRU by Xijuan Wang, Ru Chen

“…Video analysis is of crucial importance in areas such as information dissemination, understanding, and environmental perception. To further improve video processing technology and increase video fluency, this article innovatively uses improved object detection algorithms for video analysis. …”
Get full text

DETERMINING TEACHING SCHEDULE AT STATE SENIOR HIGH SCHOOL 1 DEPOK USING ASSIGNMENT THEORY WITH HUNGARIAN METHOD AND NEW IMPROVED ONES ASSIGNMENT METHOD ASSISTED BY PYTHON by Catherine Richelle Hindarto, Febi Sanjaya

“…Therefore, assignment theory using the Hungarian method and the New Improved Ones Assignment (NIOA) method assisted by Python is an alternative for automating the schedule creation process. …”
Get full text

Improved War Strategy Optimization with Extreme Learning Machine for Health Data Classification by İbrahim Berkan Aydilek, Arzu Uslu, Cengiz Kına

Get full text

Trajectory Tracking in Autonomous Driving Based on Improved hp Adaptive Pseudospectral Method by Yingjie Liu, Qianqian Wang

“…Finally, virtual and real vehicle tests were conducted to verify the effectiveness and accuracy of the improved hp adaptive trajectory control algorithm.…”
Get full text

Optimizing RetinaNet anchors using differential evolution for improved object detection by Asaad Mohammed, Hosny M. Ibrahim, Nagwa M. Omar

“…To overcome this limitation, we present an enhancement to the RetinaNet model to improve its ability to handle variations in objects across different domains. …”
Get full text

Abnormal Electricity Consumption Behaviors Detection Based on Improved Deep Auto-Encoder by Nvgui LIN, Lanxiu HONG, Daoshan HUANG, Yang YI, Zhixuan LIU, Qifeng XU

“…Because the effective data characteristics are destroyed by the abnormal behaviors, the abnormal behaviors can be detected through comparing the difference between the reconstruction error and the detection threshold. To improve the feature extraction ability and the robustness of AE network, the sparse restrictions and the noise coding are introduced into the auto-encoder, and the hyper-parameters of AE network are optimized through the particle swarm optimization algorithm to improve the learning efficiency and generalization ability. …”
Get full text

An improved height sampling approach used for global urban building height mapping by Tingting He, Yihua Hu, Fashuai Li, Yuwei Chen, Maoxin Zhang, Qiming Zheng, Baiyu Dong, He Ren

“…Both datasets are open-access, providing a more comprehensive and representative sample base for model construction. To address temporal discrepancies between these two data, continuous change detection and classification (CCDC) algorithm was employed to remove invalid height samples. …”
Get full text

Development and optimization of an electrohydrodynamic dehydrator using ANN-GA for improved energy performance by Chakrit Suvanjumrat, Klar Kongsarai, Piyamon Phong-arom, Namnguen Chumphong, Machimontorn Promtong, Jetsadaporn Priyadumkol

Get full text

An Improved Galerkin Framework for Solving Unsteady High-Reynolds Navier–Stokes Equations by Jinlin Tang, Qiang Ma

“…This paper proposes an improved Galerkin framework that synergistically integrates a Variational Multiscale Stabilization (VMS) method with an adaptive mesh refinement (AMR) strategy to overcome these dual challenges. …”
Get full text

Safety Helmet Wearing Detection Based on Jetson Nano and Improved YOLOv5 by Zaihui Deng, Chong Yao, Qiyu Yin

“…Aiming to address the current shortcomings of the existing safety helmet wearing detection algorithms, including a slow reasoning speed, a large model size, and high hardware requirements, this study proposes an improved safety helmet wearing detection network named YOLOv5-SN, which is suitable for embedded deployment on Jetson Nano. …”
Get full text

Tracking of Maneuvering Targets Using a Variable Structure Multiple Model Algorithm by Le Minh Hoang, Aleksandr A. Konovalov, Dao Van Luc

“…Adaptive algorithms improve the efficiency of target tracking in comparison with multi-model algorithms with a fixed structure, at the same time as saving computational resources.…”
Get full text

A Rapid Concrete Crack Detection Method Based on Improved YOLOv8 by Yongzhen Wang, Jiacong He

“…This study not only improves the accuracy and speed of crack detection but also significantly reduces the computational complexity of the model, advancing the development of lightweight and practical crack detection algorithms. …”
Get full text

Improved detection of differentially represented DNA barcodes for high‐throughput clonal phenomics by Yevhen Akimov, Daria Bulanova, Sanna Timonen, Krister Wennerberg, Tero Aittokallio

“…The mixture control dataset and our analysis results provide a foundation for benchmarking and improving algorithms for clone‐tracing experiments.…”
Get full text

Dual-Closed-Loop Control System for Polysilicon Reduction Furnace Power Supply Based on Hysteresis PID and Predictive Control by Shihao Li, Tiejun Zeng, Shan Jian, Guiping Cui, Ziwen Che, Genghong Lin, Zeyu Yan

“…To address this challenge, a dual-loop control system is proposed, combining model-free adaptive control (MFAC) with an improved PID controller. …”
Get full text

Robust Miner Detection in Challenging Underground Environments: An Improved YOLOv11 Approach by Yadong Li, Hui Yan, Dan Li, Hongdong Wang

“…Experimental results demonstrate that the proposed method outperforms various improved algorithms and state-of-the-art detection models in both detection performance and robustness, providing important technical support and reference for coal miner safety assurance and intelligent mine management.…”
Get full text

Explainable light-weight deep learning pipeline for improved drought stress identification by Aswini Kumar Patra, Aswini Kumar Patra, Lingaraj Sahoo

“…Sensor-based imaging data serves as a rich source of information for machine learning and deep learning algorithms, facilitating further analysis that aims to identify drought stress. …”
Get full text

An Improved YOLOv9 and Its Applications for Detecting Flexible Circuit Boards Connectors by Gengjie Huang, Yinbing Huang, Haoyang Li, Ziwen Guan, Xuecong Li, Guidong Zhang, Wendong Li, Xiran Zheng

“…Consequently, existing algorithms perform poorly in this task. We improve model YOLOv9 by introducing Multi-scale Dilated Attention (MSDA) on the output side to enhance the ability to capture features, and Deformable Large Kernel Attention (DLKA) on the other side of the output header to improve the ability to adapt to complex defect boundaries. …”
Get full text

Interval price prediction of livestock product based on fuzzy mathematics and improved LSTM. by Weimin Ma, Lingling Peng, Hu Chen, Haisheng Yan

Get full text