Enterprise modelling for decision-making in the software ecosystem by Anshul Rani, Deepti Mishra, Aida Omerovic

“…Abstract Even with the availability of modelling languages such as 4EM and ArchiMate, a noticeable uncertainty persists among professionals regarding the efficient development of process models in the software ecosystem. …”
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The analysis of acquisition system for electronic traffic signal in smart cities based on the internet of things by Yue Ma, Chenglong Wang, Tianlei Fu, Ziting Meng

“…This model integrates Multi-Modal Feature Fusion (MMFF) and Channel Attention Mechanism (AM), significantly improving the accuracy and robustness of vehicle localization and identification. …”
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UCLN: Toward the Causal Understanding of Brain Disorders With Temporal Lag Dynamics by Saqib Mamoon, Zhengwang Xia, Amani Alfakih, Jianfeng Lu

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scFTAT: a novel cell annotation method integrating FFT and transformer by Binhua Tang, Yiyao Chen

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Data augmentation-assisted muck image recognition during shield tunnelling by Tao Yan, Shui-Long Shen, Annan Zhou

“…Model efficiency was analysed through the performance and time cost of training and validation processes to select the optimal model for muck types identification. …”
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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

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Design and trial of precision spraying system for weeds in winter wheat field at tillering stage by Bo Li, Peijie Guo, Yu Chen, Jun Chen, Haiying Wang, Jing Zhang, Zhixing Zhang

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Deep learning applications for real-time and early detection of fall armyworm, African armyworm, and maize stem borer by Ivan Oyege, Harriet Sibitenda, Maruthi Sridhar Balaji Bhaskar

“…With early and accurate pest identification, crop protection measures can be implemented efficiently. …”
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Identification and application of shale lithofacies based on conventional logging curves: A case study of the second member of Funing Formation in Qintong Sag, Subei Basin by WANG Xinqian, YU Wenduan, MA Xiaodong, ZHOU Tao, TAI Hao, CUI Qinyu, DENG Kong, LU Yongchao, LIU Zhanhong

“…The identification and classification of shale lithofacies are crucial for both theoretical understanding and practical applications in shale gas exploration and exploitation. …”
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Ecosystem as the Source of Entrepreneurial Opportunities by Julia Trabskaja, Tõnis Mets

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Flexible Least Squares Algorithm for Switching Models by Yunxia Ni, Lixing Lv, Yuejiang Ji

“…The self-organizing model and expectation-maximization method are two traditional identification methods for switching models. …”
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AQST-ClustNet: Hybrid Aquila Quantum Sooty Tern Optimization for User Profile Clustering in Social Network by K. Dinesh Babu, L. Sujihelen, C. Senthil Singh

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An Intelligent Model for Facial Skin Colour Detection by Chih-Huang Yen, Pin-Yuan Huang, Po-Kai Yang

“…This study can be popularized to cosmetics purchasing and expand to analysis of the facial group after big data are applied. The intelligent model can quickly and efficiently to capture skin colour; it will be the basic work for the future fashion application with big data.…”
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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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A Study on the Performance Improvement of Automatic Intellectual Property Counseling Classification: Using the Transformer-based AI Model BERT by Dong-Hun Noh, Jae-Ok Min, So-Youn Woo

“…Furthermore, if the automatic classification results become more reliable through the use of this AI model, the purpose behind the policy for the automation of this procedure—namely easing the burden and improving the efficiency of professional counselors—may be achieved with improved continuity and stability. …”
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Deciphering drought response mechanism in Tibetan qingke through comprehensive transcriptomic and physiological analysis by Deyuan Jiang, Deyuan Jiang, Shuaihao Chen, Shuaihao Chen, Shuaihao Chen, Zhongmengyi Qin, Zhongmengyi Qin, Zhongmengyi Qin, La Bo, La Bo, La Bo, Liping Niu, Liping Niu, Liping Niu, Hongkang Zhou, Hongkang Zhou, Jing Wang, Jing Wang, Jing Wang, Dawa Dondup, Xin Hou, Xin Hou, Xin Hou

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Cost-Optimal Fuel Utilization, Genset Configuration and Battery Sizing: A Case-Study of a Norwegian Trawler by Tor Hennum, Øyvind Kåre Kjerstad, Ann R. Nerheim

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The case for microsimulation frameworks for integrated urban models by Eric J. Miller

“…The primary objective of this paper is to “make the case” for adoption of microsimulation frameworks for development of integrated urban models. Similar to the case of activity-based travel models, microsimulation in integrated urban models enables such models to deal better with: heterogeneity and non-linearity in behavior; identification of the detailed spatial and socioeconomic distribution of impacts, benefits and costs; tracing complex interactions across agents and over time; providing support for modelling memory, learning and adaptation among agents; computational efficiency; and emergent behavior. …”
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Multi-field information fusion-based analysis of the macroscopic and mesoscopic damage evolution and location identification of caving and water-conducting fracture zones for minin... by Jiangbo WEI, Shuangming WANG, Lang LIU, Baoning WEI, Deyu CHONG, Zhizhen LIU, Dongkui LI, Dengdeng ZHUANG, Jing ZHOU

“…Using drilling data, this study constructed a numerical model of coal mining using the particle flow code method. …”
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Method for detecting rough road index using iot sensor fusion and v2v interaction for efficient road infrastructure management by Akhilesh Kumar Singh, Damodar Reddy Edla

“…The method proposed explores the integration of Internet of Things (IoT) technologies and sensor fusion techniques into modern transportation systems to enhance efficiency, safety, and road quality assessment. The study not only emphasizes the importance of V2V communication using DSRC Dedicated Short Range Communication, Threshold Based Algorithms (TBA) and Dynamic Time Warping (DTW) but also proposes a novel approach of IoT multi-sensor fusion hardware model that is designed to identify clean and rough surface road conditions. …”
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