EnhanceCenter for improving point based tracking and rich feature representation by Hyun-Sung Yang, Sung-Wook Park, Se-Hoon Jung, Chun-Bo Sim

“…This research underscores the potential of lightweight detectors in achieving state-of-the-art multiple-object tracking performance, paving the way for more efficient tracking solutions in complex environments.…”
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Disassembly of Distribution Transformers Based on Multimodal Data Recognition and Collaborative Processing by Li Wang, Feng Chen, Yujia Hu, Zhiyao Zheng, Kexin Zhang

“…In addition, the system captures 3D point cloud data of the transformer’s interior using multi-view RGB-D cameras and performs multimodal semantic segmentation and object detection via the ODIN model, facilitating the high-precision identification and cutting of complex components such as windings, studs, and silicon steel sheets. …”
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YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

“…To overcome the limitations of current behavioral analysis systems in balancing computational efficiency and detection accuracy, this study develops an optimized deep learning framework named YOLOv8-BCD specifically designed for ovine posture recognition. …”
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The Design of a Vision-Assisted Dynamic Antenna Positioning Radio Frequency Identification-Based Inventory Robot Utilizing a 3-Degree-of-Freedom Manipulator by Abdussalam A. Alajami, Rafael Pous

“…In contemporary warehouse logistics, the demand for efficient and precise inventory management is increasingly critical, yet traditional Radio Frequency Identification (RFID)-based systems often falter due to static antenna configurations that limit tag detection efficacy in complex environments with diverse object arrangements. …”
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Impact of AI and Machine Learning on Financial Services by Patil Smita, Mailcontractor Rahul

“…From retail banking to investment firms, financial organizations are progressively implementing AI and ML technologies to improve decision-making and enhance the customer experience. Complex financial issues such as fraud detection, risk management, credit scoring and algorithmic trading can be addressed using devices like AI and ML. …”
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Identification of Ground Fissures in Mining Areas from UAV Images Based on RDC-UNet by Zhu Huashan

“…Traditional geological exploration methods are inefficient and costly, making the precise detection of large-scale fissures difficult. Deep learning methods using unmanned aerial vehicle (UAV) images have become a popular approach for fissure detection, although challenges such as insufficient accuracy and poor adaptability in complex backgrounds remain. …”
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GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics. by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Mohammed Alqarni, Elham Abdullah Alghamdi, Nasir Ayub

“…This paper introduces GNN-RMNet, a hybrid deep learning system that combines GNN, ResNet, and MobileNet for interpretable, scalable, and efficient driver behavior profiling and route anomaly detection. …”
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Waveguide-Integrated Plasmonic Photodetectors and Activation Function Units With Phase Change Materials by Jacek Gosciniak

“…With a rapidly growing amount of data generated and processed, a search for more efficient components and architectures such as neuromorphic computing that can perform increasingly complex operations in more efficient way continue. …”
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From radiolabeling to receptor quantification: preclinical assessment of [99mTc]Tc-carvedilol as a cardiac β-adrenoceptor probe by Hala F. Azhari

“…Comparative analysis with [131I]iodocarvedilol and 99mTc-sestamibi provided insights into advancements in detection efficiency and translational potential.Results[99mTc]Tc-carvedilol showed a radiolabeling efficiency of 96.5% ± 2.87%, with serum stability >92% at 24 h. …”
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metaGE: Investigating genotype x environment interactions through GWAS meta-analysis. by Annaïg De Walsche, Alexis Vergne, Renaud Rincent, Fabrice Roux, Stéphane Nicolas, Claude Welcker, Sofiane Mezmouk, Alain Charcosset, Tristan Mary-Huard

“…However, genome-wide association studies (GWAS) of MET data are significantly more complex than that of single environments. In this context, we introduce metaGE, a flexible and computationally efficient meta-analysis approach for jointly analyzing single-environment GWAS of any MET experiment. …”
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Extraction of thiacloprid from honey using aqueous biphasic systems based on potassium phosphate and ionic liquids by Marić Aleksandar Z., Jovanov Pavle T., Sakač Marijana B., Radić Bojana Đ., Đermanović Branislava B., Gadžurić Slobodan B.

“…Conventional extraction techniques are often complex and time-consuming, highlighting the need for more efficient methods. …”
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Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…This application requires complex computation for better user experience and real-time decision-making. …”
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Application of time series database technology in coal mine safety monitoring system by Hongliang ZHANG

“…Traditional relational databases are unable to meet the high concurrency and high stability monitoring requirements of complex underground environments due to issues such as insufficient write throughput, low storage efficiency, and real-time query latency. …”
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Two key algorithms for intelligent inspection robots in electric bicycle charging sheds by Yingjian An, Ge Wei

“…Experimental results demonstrate that the proposed MS-RRT* achieves a 100% exploration success rate in narrow channels, outperforming state-of-the-art methods in both efficiency and robustness. The improved SOLOv2 also surpasses Mask R-CNN in multi-category component recognition, ensuring reliable inspection in complex scenarios. …”
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Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

“…Overall, the findings reveal the potential of this hybrid approach to advance MRI-based tumor detection, offering a promising tool that enhances both accuracy and computational efficiency for medical imaging and diagnosis.…”
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Trajectory Optimization with Dynamic Drivable Corridor-Based Collision Avoidance by Weijie Wang, Tantan Zhang, Zihan Song, Haipeng Liu

“…Trajectory planning for autonomous vehicles is essential for ensuring driving safety, passenger comfort, and operational efficiency. Collision avoidance constraints introduce significant computational complexity due to their inherent non-convex and nonlinear characteristics. …”
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Strategies and Challenges for Unmanned Aerial Vehicle-Based Continuous Inspection and Predictive Maintenance of Solar Modules by Ghulam E. Mustafa Abro, Amjad Ali, Sufyan Ali Memon, Tayab Din Memon, Faheem Khan

“…With the fast expansion of large-scale solar farms, the necessity for efficient and dependable maintenance and monitoring of solar modules has grown significantly. …”
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A Real-Time High-Resolution Multi-Focus Image Fusion Algorithm Based on Multi-Scale Feature Aggregation by Huawei Chen, Xingkai Du, Hongchuan Huang, Tingyu Zhao

“…We propose an efficient high-resolution real-time multi-focus image fusion algorithm based on multi-aggregation. we use a difference of Gaussians image and a Laplacian pyramid for focused region detection. …”
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Ultrasonic Inspection Design and Application for Maincoolant Pipes of Third-Generation Nuclear Power Plants by Maocheng Hong, Xiaobing Zhang

“…To address these challenges, the paper introduces a lightweight, high-load automatic ultrasonic scanner designed to improve inspection efficiency in complex environments. This scanner uses advanced ultrasonic testing technology to efficiently inspect welds in confined spaces. …”
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MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

“…This issue is particularly evident in the context of surface defect detection in industrial parts, where low contrast, small target features, difficult feature extraction, and low real-time detection efficiency are prominent challenges. …”
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