Research of Interactive and Traditional Tasks Aimed at Studying Information Technologies among Students by Popkov S.I.

“…The results of a study conducted within the framework of an interactive approach to the task formation, which is an actual branch of computer methods in education, are presented. The author notes that the branch is currently not used for teaching information technologies practice in higher educational institutions due to the labor cost of forming, implementing and taking into account the impact of interactive tasks on the success of the educational process participants. …”
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Gamification in studying celestial mechanics using Kerbal Space Program by Pavlo Ponomarenko

“…This study used the system analysis method of computer gamification tools. The following results were obtained in the course of the study: during the comprehensive analysis of KSP, it was established that the game complies with the basic laws of celestial mechanics and is capable of fairly accurately modeling orbital motion, maneuvers, gravitational phenomena, etc.; the main limitations and prospects for the use of KSP in the educational process were outlined. …”
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Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin by Aishwarya Selvamurugan, Aromal Vinod Kumar, Hrishikesh R. Palan, Arockiaraj Simiyon, Thirunavukkarasu Indiran

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Dual-stream hybrid architecture with adaptive multi-scale boundary-aware mechanisms for robust urban change detection in smart cities by Israr Ahmad, Fengjun Shang, Muhammad Salman Pathan, Ahsan Wajahat, Yun-Su Kim

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A Deep Learning-Based Mapping Model for Three-Dimensional Propeller RANS and LES Flow Fields by Jianhai Jin, Yuhuang Ye, Xiaohe Li, Liang Li, Min Shan, Jun Sun

“…Firstly, the data samples of the RANS flow field and those of the LES flow field are processed to obtain their corresponding three-dimensional image data, respectively. …”
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A new approach to MADM problem using interval-valued hesitant Fermatean fuzzy Hamacher operators and statistical variance by Xiuqin Ma, Xuli Niu, Hongwu Qin, Dong Ren, Siyue Lei, Kexin Tang

“…Firstly, the SV weight calculation method is given under IVHFFSs, aiming to computing objective weights of attributes. This greatly reduces data redundancy and improves the computational complexity. …”
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A Framework for Leveraging Digital Technologies in Reverse Logistics Actions: A Systematic Literature Review by Sílvia Patrícia Rodrigues, Leonardo de Carvalho Gomes, Fernanda Araújo Pimentel Peres, Ricardo Gonçalves de Faria Correa, Ismael Cristofer Baierle

“…Simultaneously, Industry 4.0 technologies are transforming RL operations by enhancing their collection, transportation, storage, sorting, remanufacturing, recycling, and disposal processes. Understanding the roles of these technologies is essential for improving efficiency and sustainability. …”
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Ferroelectric AlScN thin films with enhanced polarization and low leakage enabled by high-power impulse magnetron sputtering by Federica Messi, Jyotish Patidar, Nathan Rodkey, Christoph W. Dräyer, Morgan Trassin, Sebastian Siol

“…The demand for efficient data processing motivates a shift toward in-memory computing architectures. …”
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Network analysis of memristive device circuits: dynamics, stability and correlations by F Barrows, F C Sheldon, F Caravelli

“…Networks with memristive devices are a potential basis for the next generation of computing devices. They are also an important model system for basic science, from modeling nanoscale conductivity to providing insight into the information-processing of neurons. …”
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Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks by Xueling Wu, Long Qu, Maurice J. Khabbaz

“…These applications often require the efficient transmission of collected sensitive data to centralized or distributed processing units, such as cloud servers, edge nodes, or fog computing platforms—to enable timely responses. …”
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Collaborative Optimization of Model Pruning and Knowledge Distillation for Efficient and Lightweight Multi-Behavior Recognition in Piglets by Yizhi Luo, Kai Lin, Zixuan Xiao, Yuankai Chen, Chen Yang, Deqin Xiao

“…The model was deployed on the NVIDIA Jetson Orin NX edge computing platform for the evaluation. The average inference time was reduced from 353.9 ms to 163.2 ms, resulting in a 53.8% reduction in the processing time. …”
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A Review of the Applications, Benefits, and Challenges of Generative AI for Sustainable Toxicology by Furqan Alam, Tahani Saleh Mohammed Alnazzawi, Rashid Mehmood, Ahmed Al-maghthawi

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A comparison of genomic methods to assess DNA replication timing by Emily Wheeler, Leigh Mickelson-Young, Emily E. Wear, Mason Burroughs, Hank W. Bass, Lorenzo Concia, William F. Thompson, Linda Hanley-Bowdoin

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A Hybrid Approach to Cloud Data Security Using ChaCha20 and ECDH for Secure Encryption and Key Exchange by Rebwar Khalid Muhammed, Zryan Najat Rashid, Shaida Jumaah Saydah

“… Cloud computing has transformed data storage and processing by offering on-demand resources and global accessibility. …”
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LMFUNet: A Lightweight Multi-fusion UNet Based on Spiking Neural Systems for Skin Lesion Segmentation by Ningkang Hu, Bing Li, Hong Peng, Zhicai Liu, Jun Wang

“…Skin lesion segmentation is critical in medical image processing, but the segmentation task faces numerous challenges due to the differences in size, color, shape, and texture of skin lesions between patients, as well as the blurring of the boundary between lesions and normal skin. …”
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Applications of Raspberry Pi for Precision Agriculture—A Systematic Review by Astina Joice, Talha Tufaique, Humeera Tazeen, C. Igathinathane, Zhao Zhang, Craig Whippo, John Hendrickson, David Archer

“…Existing PA methods rely on data processing, highlighting the need for a portable computing device for real-time, infield decisions. …”
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Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces by K. Balamurugan, G. Sudhakar, Kavin Francis Xavier, N. Bharathiraja, Gaganpreet Kaur

“…The system leverages Edge Computing for low-latency processing (average latency <47 ms) and cloud-based analytics for predictive maintenance insights. …”
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AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions by Saba Parveen, Md Belal Bin Heyat, Umair Tariq, Faijan Akhtar, Hafiz Muhammad Zeeshan, Seth Christopher Yaw Appiah, Shang-Ming Zhou, Huang Lei

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Advanced battery management system enhancement using IoT and ML for predicting remaining useful life in Li-ion batteries by Gopal Krishna, Rajesh Singh, Anita Gehlot, Ahmad Almogren, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

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Integrated Photonic Neural Networks for Equalizing Optical Communication Signals: A Review by Luís C. B. Silva, Pablo R. N. Marciano, Maria J. Pontes, Maxwell E. Monteiro, Paulo S. B. André, Marcelo E. V. Segatto

“…Therefore, the development of solutions for the adequate recovery of such signals distorted by the complex dynamics of the transmission channel currently constitutes an open problem since, despite the existence of well-known and efficient equalization techniques, these have limitations in terms of processing time, hardware complexity, and especially energy consumption. …”
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