A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise. by Wei Zhang, Xiaolong Zhang, Juanjuan Zhao, Yan Qiang, Qi Tian, Xiaoxian Tang

“…The fast and accurate segmentation of lung nodule image sequences is the basis of subsequent processing and diagnostic analyses. However, previous research investigating nodule segmentation algorithms cannot entirely segment cavitary nodules, and the segmentation of juxta-vascular nodules is inaccurate and inefficient. …”
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A landslide area segmentation method based on an improved UNet by Guangchen Li, Kefeng Li, Guangyuan Zhang, Ke Pan, Yuxuan Ding, Zhenfei Wang, Chen Fu, Zhenfang Zhu

“…This study not only provides an effective method for landslide segmentation tasks but also offers new perspectives for further research in related fields.…”
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End-to-end technologies in financial controlling: corporate technology concept by O. N. Pakova, Yu. A. Konopleva, A. S. Khakirov

“…The variants of adaptation of financial controlling tasks as part of financial management to the digital transformation of public relations, business processes and production are considered, an algorithm for the formation of a knowledge base based on the experience of managers and the results of their work using artificial intelligence systems is developed. …”
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Development of a software platform for automatic train operation: Integrating meso- and microscopic layers by Daniel Bilbao-Moreno, Iker Elorza, Eloy Irigoyen

“…A key outcome of this research is developing a software platform that provides the foundation for improving autonomous train control algorithms. …”
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scGRN-Entropy: Inferring cell differentiation trajectories using single-cell data and gene regulation network-based transfer entropy. by Rui Sun, Wenjie Cao, ShengXuan Li, Jian Jiang, Yazhou Shi, Bengong Zhang

“…Research on cell differentiation facilitates a deeper understanding of the fundamental processes of life, elucidates the intrinsic mechanisms underlying diseases such as cancer, and advances the development of therapeutics and precision medicine. …”
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Persistent Homology Combined with Machine Learning for Social Network Activity Analysis by Zhijian Zhang, Yuqing Sun, Yayun Liu, Lin Jiang, Zhengmi Li

“…The results show that the proposed algorithm can effectively classify social network users into different groups, which provides a good foundation for further research and application.…”
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Unlocking Performance Potential: Workforce Diversity Management and Gender Diversity as Drivers of Employee Performance in Ghana’s Public Healthcare Sector by Hayford Asare Obeng, Bright Akwasi Gyamfi, Richard Arhinful, Leviticus Mensah

“…This study used a quantitative descriptive research design and a snowball sampling technique to obtain data from 392 respondents. …”
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Design of a Hybrid Intelligent System for Transitional Bladder Cell Carcinoma Diagnosis by Nada Saleem, Khalid Saleem

“…Transitional Bladder cell carcinoma is one of the most common cancers of the urinary tract, accounting for approximately 90% of Bladder cancers. In this research a new computer-based system "Design of a Hybrid Intelligent System for Transitional Bladder Cell Carcinoma Diagnosis" (DHSTCCD) has been proposed and implemented. …”
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Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model by Qinwei Zhang, Zhifeng Liu, Xinxin Zhang, Chunyang Mu, Shuo Lv

“…Product Kansei image design is one of the research hotspot of product emotional design. Due to the subjectivity, low efficiency, and low level of intelligence in the existing product form innovation design methods in the mining of design goals. …”
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CDBR: A semi-automated collaborative execute-before-after dependency-based requirement prioritization approach by Ankita Gupta, Chetna Gupta

“…The main goal of this research is to present a semi-automated dependency based collaborative requirement prioritization approach (CDBR), which uses linguistic values, execute-before-after (EBA) relation among requirements and machine learning algorithm to minimize the difference of opinion between stakeholder and developers for effective collaboration and for better approximation of final prioritization results, acceptable to both. …”
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Optimizing FCN for devices with limited resources using quantization and sparsity enhancement by Muhammad Faizan-Khan, Nisar Ali, Raja Hashim Ali, Areej Alasiry, Mehrez Marzougui, Shabbab Ali Algamdi, Yunyoung Nam

“…To fill this gap, we propose an innovative approach utilizing full-layer quantization with an $$L_2$$ error minimization algorithm, accompanied by sensitivity analysis to optimize fixed-point representation of network weights. …”
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Traffic Conflict Prediction for Sharp Turns on Mountain Roads Based on Driver Behavior Patterns by Quanchen Zhou, Jiabao Zuo, Yafei Zhao, Mingwu Ren

“…We collected information through field observations and driving simulations while analyzing key indicators like the mean speed of vehicles and spacing between vehicles. The FP-Growth algorithm was used to identify frequent behavioral patterns and measure their relationship with traffic conflicts. …”
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Hummingbird-Inspired Modified Particle Swarm Optimization for Efficient Task Scheduling in Cloud Computing by Longyang Du, Qingxuan Wang

“…Effective task scheduling remains a critical challenge due to dynamic and heterogeneous workloads, directly influencing energy efficiency, response time, and resource utilization. The present research presents an enhanced Particle Swarm Optimization (PSO) algorithm inspired by specific hummingbird flight characteristics, chosen for their exceptional agility and efficiency. …”
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Virtual Modelling Framework-Based Inverse Study for the Mechanical Metamaterials with Material Nonlinearity by Yuhang Tian, Yuan Feng, Wei Gao

“…Mechanical metamaterials have become a critical research focus across various engineering fields. Recent advancements have pushed the development of reprogrammable mechanical metamaterials to achieve adaptive mechanical behaviours against external stimuli. …”
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Tree inventory analysis using AI and GIS in Uzbekistan: A case study from Tashkent by Sobirov Ulmas, Alikulova Feruza

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On Method of Revealing Value Information of Conversation Dialogue by T. V. Matveeva

“…The relevance of the research is linked with the growing interest of communicative linguistics and cultural linguistics to the content and ways of expressing the value component of modern Russian speech practice. …”
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Comparison of YOLOv5 for Classifying Mangrove Leaf Species using CNN-Based by Anindita Septiarini, Rita Diana, Rahmat Kamara, Novianti Puspitasari, Anton Prafanto

“…The algorithm used is the 5th version of You Only Look Once (YOLO) with 3 different variants (YOLOv5s, YOLOv5m, and YOLOv5l). …”
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Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systemszenodo by Abdelkabir Bacha, Ramzi El Idrissi, Khalid Janati Idrissi, Fatima Lmai

“…By keeping this dataset publicly accessible, we seek to accelerate research in AI-driven fault identification and diagnosis for electric drive systems.…”
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A Novel Nonlinear Adaptive Control Method for Longitudinal Speed Control for Four-Independent-Wheel Autonomous Vehicles by Jinhua Zhang, Zhenghao Chen, Jinshi Yu

“…This paper proposes a novel hierarchical control algorithm to address these challenges, innovatively combining the advantages of adaptive backstepping and dynamic sliding mode control algorithms in the upper controller, allowing it to effectively overcome the impact of uncertain system parameters and suppress the common chattering phenomenon in the output of typical sliding mode control methods. …”
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Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

“…The prediction of entrance and exit passenger flow of rail transit stations is one of key research focuses in the area of intelligent transportation. …”
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