Contemporary Trends in Economic Cybersecurity by Yu. Yu. Shitova, Yu. A. Shitov

“…It means development of hacking tools while accelerating the speed and scale of attacks. We must implement an integrated, echeloned approach with the same innovative technologies of AI and MO used by hackers, to fight effectively with future cyber threats. …”
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Online Neural Dynamics Forecasting for power system security by Mert Karacelebi, Jochen L. Cremer

“…Machine learning (ML) methods offer advantages in terms of computational speed compared to numerical methods and simulators. …”
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Research on Pedestrian Avoidance Behavior for School Section Based on Improved BP Neural Network and XGboost Algorithm by Guiliang Lu, Mingwei Liu

“…As society evolves and technology advances, increasing transportation demands have heightened safety risks near schools and on mixed-traffic roads. …”
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Presenting the Model of Aligning the Individual Development Program (IDP) with the Career Path, Based on the Foundation's data-theorizing Approach by Ali Kafami Ladani, Abdolali Keshtegar, Aleme Keikha

“…The results showed that the causal factors of aligning the IDP with the career path are the necessity of employee job matching, the lack of structure in the learning and development process, the speed of changes, the reduction of the organization's key capabilities, and the reduction of the employees' organizational affiliation. …”
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The Need for Change: A Roadmap for the Sustainable Transformation of the Chemical Industry by Klaus Günter Steinhäuser, Markus Große Ophoff

“…Achieving greenhouse gas neutrality in Europe by 2050 demands swift and decisive action from industry, governments, and society. The speed of transformation is currently too slow to reach this goal. …”
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DLP: REDUCED RISK OF LEAKAGE OF CONFIDENTIAL INFORMATION OF THE BANK by T. A. Andryianava, S. B. Salomatin

“…The application of the adapted DLP-system in the Bank allowed to increase the speed of response of information security specialists to the information security events detected by the DLP-system adapted to the Bank, and also allowed the DLP-system to transition from the copy mode to the blocking mode of illegitimate transfer of information.…”
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Optimization method of task uninstallation in mobile edge computing environment combining improved deep Q-learning and transmission learning by Lihong Zhao, Shuqin Wang, Xiaomei Ding

“…Experiments have shown that TL-DQN performs better in convergence speed compared to other algorithms. For delay sensitive users, the delay growth of TL-DQN algorithm is relatively slow. …”
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Hemodynamic evaluation of pulsatile-flow generating device in left ventricular assist devices by A. S. Buchnev, A. P. Kuleshov, O. Yu. Esipova, A. A. Drobyshev, N. V. Grudinin

“…Objective: to investigate the efficiency of a device that generates pulsatile flow during constant-speed axial-flow pump operation for use in left ventricular assist devices.Materials and methods. …”
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Challenges of drone development in Iran's agricultural sector: The application of the TOWS analysis by Zahra Khoshnodifar, Pouria Ataei, Hamid Karimi

“…Given the increasing adoption of modern technologies in agriculture and the challenges associated with the acceptance and development of drones in this sector, the present research aimed to analyze the challenges of drone application in Iran's agriculture in order to propose some effective strategies. …”
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Efficient network attack path optimization method based on prior knowledge-based PPO algorithm by Qiuxiang Li, Jianping Wu

“…Based on these rules, action mask vectors are generated before each action sampling phase to modify the distribution of the output of the policy network. …”
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Industrial multi-machine data aggregation, AI-ready data preparation, and machine learning for virtual metrology in semiconductor wafer and slider production by Feiyang Ou, Julius Suherman, Chao Zhang, Henrik Wang, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

“…Smart Manufacturing is rooted in AI, Machine Learned (ML), and Data Synchronized (DS) modeling to tap into invaluable operating data. By making data actionable at larger scales, SM opens new ways to increase productivity, precision, and process performance. …”
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Non-Uniform Thermal Transfer of Molten Steel and Its Effect on Inclusion Particles Removal Behavior in Continuous Casting Tundish by Zhixiao Zhang, Tianpeng Qu, Deyong Wang, Xianglong Li, Lei Fan, Xingzhi Zhou

“…While the inlet temperature is lower, the horizontal stream cannot be maintained, resulting in a decrease in the removal rate of inclusions. Increasing the casting speed will increase the velocity of the molten steel in the tundish, make it easier to shorten the temperature difference between the inlet and outlet, and reduce the removal rate of inclusions. …”
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The effect of relative pitch size on physiological, physical, technical and tactical variables in small-sided games: a literature review and practical guide by Michael C. Rumpf, Michael C. Rumpf, Michael C. Rumpf, Johannes Jäger, Filipe M. Clemente, Filipe M. Clemente, Filipe M. Clemente, Stefan Altmann, Stefan Altmann, Matthias Lochmann

“…Several physical variables showed significant positive associations (total distance, relative total distance, maximum speed, number of sprints, sprinting, high-speed running, jogging, acceleration and deceleration, high-metabolic load distance, work-to-rest ratio) and negative associations (walking distance) with increases in relative pitch size (p < 0.05). …”
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Research and Construction of Knowledge Map of Golden Pomfret Based on LA-CANER Model by Xiaohong Peng, Hongbin Jiang, Jing Chen, Mingxin Liu, Xiao Chen

“…This promotes the application of smart aquaculture technologies and enables precision farming, ultimately increasing overall industry efficiency.…”
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A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids by Boyu Wang, Aliasghar Baziar, Mohammad Reza Askari

“…The proposed framework features a two-layered control architecture that models grid states, actions, and rewards to enable continuous, real-time adaptive control of distributed energy resources, microgrids, and control centers. …”
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A novel efficient route for removing Pb2+ ions from wastewater using 2-(4-nitrobenzylidene)malononitrile doped on Reed stems by Shahoo Ahmadi, Ghasem Marandi

“…The decrease in vibrational absorption frequency in the cyanide groups following the absorption of Pb2+ ions indicate their role in removing lead ions. …”
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AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses by Dimitrios Kapetas, Panagiotis Christakakis, Sofia Faliagka, Nikolaos Katsoulas, Eleftheria Maria Pechlivani

“…The main challenge is creating AI models that perform with speed and accuracy, enabling immediate farmer action. …”
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Crowd Evacuation in Stadiums Using Fire Alarm Prediction by Afnan A. Alazbah, Osama Rabie, Abdullah Al-Barakati

“…The predictive alarm system significantly reduces false alarm rates and enhances fire detection speed, allowing emergency responders to take preemptive action. …”
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Development of a Bicycle Road Surface Roughness and Risk Assessment Method Using Smartphone Sensor Technology by Dong-youn Lee, Ho-jun Yoo, Jae-yong Lee, Gyeong-ok Jeong

“…The FII showed a clear relationship between bump size and cycling speed, with higher bump sizes and faster cycling speeds leading to significantly increased impact forces on cyclists. …”
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Factors for traffic accident-prone section formation on federal roads by E. V. Pechatnova, K. S. Nechaev

“…A comprehensive analysis of traffic accident-prone section of federal roads in the Altai Territory allowed to identify a number of typical conditions that contribute to the formation of increased accident risk. Among them: a significant change in the speed limit, proximity to the city, the presence of a large number of conflict points, road works.The scope of the study / the possibility of subsequent use of the results of scientific work. …”
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