Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…We provide a dataset on human decision-making during evacuations from virtual buildings, captured using experimental methods that controlled specific building layout parameters. An online experiment assigned participants a random subset of tasks featuring T-intersections. …”
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LCDDN-YOLO: Lightweight Cotton Disease Detection in Natural Environment, Based on Improved YOLOv8 by Haoran Feng, Xiqu Chen, Zhaoyan Duan

“…To address the challenges of detecting cotton pests and diseases in natural environments, as well as the similarities in the features exhibited by cotton pests and diseases, a Lightweight Cotton Disease Detection in Natural Environment (LCDDN-YOLO) algorithm is proposed. …”
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FORECASTING THE INVESTMENT INDICATORS ON THE BASIS OF SOLUTION TREES by Olga V. Kitova, Igor B. Kolmakov, Ilya A. Penkov

“…The authors put forward several variants of implementing models designed by Python programming. Computer experiments were conducted to adjust model parameters that can guarantee acceptable results in forecasting investment indicators.…”
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Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review by Viet Long Bui, Angus E. Hughes, Romain Ragonnet, Michael T. Meehan, Alec Henderson, Emma S. McBryde, James M. Trauer

“…However, their advanced capabilities come with challenges, including those arising from their stochastic nature, such as parameter tuning and high computational expense. To improve transparency and reproducibility, open-source code sharing, and standardised reporting are recommended to enhance ABM reliability in studying epidemiologically complex diseases like TB.…”
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning by L. Ravi Kumar, Ravi Kumar Tata, T. R. Mahesh, Endris Mohammed Ali

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Magneto-optical transverse Kerr effect in Co_x(CoO)_1−x nanocomposites by Maxim M. Yashin, Vitaly E. Ryabukhin, Alexey N. Yurasov

“…The optimal parameters of the sample under study are established as part of computer modeling: form factor, average granule size, and the anomalous Hall effect coefficient. …”
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AI-driven hybrid rehabilitation: synergizing robotics and electrical stimulation for upper-limb recovery after stroke by Ismail Ben Abdallah, Ismail Ben Abdallah, Yassine Bouteraa, Yassine Bouteraa, Ahmed Alotaibi, Ahmed Alotaibi

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Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks by Hasan A. A. Al-Rawi, Kok-Lim Alvin Yau, Hafizal Mohamad, Nordin Ramli, Wahidah Hashim

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Development of the structure of a computerized information and measurement system based on the analysis of the problems of using an asynchronous electric drive in pumping equipment by Yu.O. Podchashynskyi, Ya.V. Mahaletskyi

“…The article analyzes the features of using an asynchronous electric drive in pumping equipment. …”
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Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyardsGithub by Abdulbasit Almhafdy, Ashjan Al-Mutairi, Asma Al-Shargabi, Amal Al-Shargabi

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K-means clustering of a soil sampling scheme with data on the morphography of the Ogosta valley northwestern Bulgaria by Assen TCHORBADJIEFF, Tsvetan KOTSEV, Velimira STOYANOVA, Emilia TCHERKEZOVA

“… The spatial distribution of 665 soil sampling sites in the arsenic contaminated floodplain of the Ogosta River in the Northwest of Bulgaria is analysed against geomorphological parameters computed from a precise digital terrain model. …”
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Real-Time Deep Intelligence Analysis and Visualization of COVID-19 Using FCNN Mechanism by Cherukuri Triveni, K. Suvarna Vani, M. Likhitha

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The First-Principles Investigation of Structural Stability, Mechanical, Vibrational, Thermodynamic, and Optical Properties of CaHfS3 for Optoelectronic Application by Mulugetta Kassa, Nebiyu Debelo, Menberu Woldemariam

“…In this study, the structural, electronic, elastic, phonon vibration, thermodynamic features, and optical properties of the orthorhombic phase of (space group Pnma) CaHfS3 were examined by first-principles calculations utilizing the plane wave ultrasoft pseudopotentials in generalized gradient approximations (GGAs) and with Hubbard on-site correction (DFT + U). …”
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Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks by Haifeng Jiang, Yanjing Sun, Renke Sun, Hongli Xu

“…Based on energy inequality, the method is designed to compute the degree of energy balance. Parameters such as degree of closeness of node to the shortest path, degree of closeness of node to Sink, and degree of energy balance are put into fuzzy logic system. …”
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Automated Anomaly Detection and Causal Analysis for Civil Aviation Using QAR Data by Xin Dang, Congcong Hua, Chuitian Rong

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Designing of a Simulation Tool for the Performance Analysis of Hybrid Data Center Networks (DCNs) by Muhib Ahmad, Farrukh Zeeshan Khan, Zeshan Iqbal, Muneer Ahmad, Ihsan Ali, Sultan S. Alshamrani, Muhammad Talha, Muhammad Ahsan Raza

“…Data center (DC) technology changes the mode of computing. Traditional DCs consist of a single layer and only have Ethernet connections among switches. …”
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Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems by Wang Jian, Amin Ul Haq, Noman Afzal, Shakir Khan, Hadeel Alsolai, Sultan M. Alanazi, Abu Taha Zamani

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ESLiteU²-Net: A Lightweight U²-Net for Road Extraction From High-Resolution Remote Sensing Images by Rui Xu, Zhenxing Zhuang, Renzhong Mao, Yihui Yang

“…Compared to U2-Net, the proposed model not only achieves superior accuracy but also reduces computational load and parameter number by 30.98% and 81.91%, respectively, achieving a balanced combination of lightweight design, efficiency, and accuracy for road extraction.…”
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Automatic Disease Detection from Strawberry Leaf Based on Improved YOLOv8 by Yuelong He, Yunfeng Peng, Chuyong Wei, Yuda Zheng, Changcai Yang, Tengyue Zou

“…The KernelWarehouse convolution is employed to replace the traditional component in the backbone of the YOLOv8 to reduce the computational complexity. In addition, the Triplet Attention mechanism is added to fully extract and fuse multi-scale features. …”
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Traffic safety and dynamic properties of the bridge deck of high-speed railway lines by V. Yu. Polyakov, Dang Ngoc Thanh

“…The urgent task is to ensure the sustainable motion of the wheel along the rail over the bridges in high-speed traffic. A feature of high-speed lines (HS lines) is the practical achievement of critical speeds that cause resonance of bridge deck structures. …”
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