A Comparative study of the Envisaged and Definite Stock Prices of BSE SMEs Using RNN during the COVID-19 Pandemic by S. Kaur, A. Munde, A. K. Goyal

“…The most popular area of scientific research right nowadays is machine learning, which involves enabling computers to perform tasks that often require human intelligence. The purpose of this paper is to construct a model using a network of Long-Short Term Memory model (LSTM) to forecast future stock market values. …”
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Partial contrastive point cloud self-supervised representation learning by Zijun Cheng, Yiguo Wang

“…We pretrain our model on the ShapeNet dataset and evaluate its transferability to tasks including classification, segmentation, and few-shot classification. …”
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Ramifications of flipped classroom model on second language teachers’ professional identity in Turkish tertiary hybrid education context by Nalan Şan

“…Abstract As the traditional teaching paradigm is reversed in Flipped Classroom Model (FCM), it has the potential to empower the teacher to allocate more valuable face-to-face classroom time for productive language tasks. Digital flipped course contents encourage the students and the teacher to take advantage of becoming a member in an online learning community and engage in a social-constructive learning approach. …”
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Modern Understanding of Internal Financial Control: Problems and Perspectives of Investigation by S. R. Dreving, L. Y. Khrustova

“…The authors determine the internal financial control as one of the key areas of practical implementation of controlling tasks and objectives. According to the hierarchy of concepts presented in the article, internal audit serves as the main tool of internal financial control. …”
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Composite Improved Algorithm Based on Jellyfish, Particle Swarm and Genetics for UAV Path Planning in Complex Urban Terrain by Qi Wang, Wenjun Yi

“…In order to enhance the safety, path smoothness, and shortest path acquisition of UAVs undertaking tasks in complex urban multi-obstacle environments, this paper proposes an innovative composite improvement algorithm that integrates the advantages of the jellyfish search algorithm and the particle swarm algorithm. …”
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Legal Judgment Prediction using Natural Language Processing and Machine Learning Methods: A Systematic Literature Review by Nasa Zata Dina, Sri Devi Ravana, Norisma Idris

“…Among those problems, low amounts of dataset and low classification performance were regarded as the most challenging tasks to deal with.…”
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Matters of Muslim Menus, Meals and Manners: Foreign Foods and Formation and Alteration of Argobba Alimentation by Abebe Kifleyesus

“…This article examines the cultural assumptions and social practices through which these food identities are constructed and how in turn they inform the production, distribution, preparation and consumption of foods. …”
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Lane-keeping ability evaluation for driving skill tests: A multi-indicator fusion approach. by Mengmeng Duan, Hao Wu, Shulin Zhang, Huiqing Jin, Susu Liu

“…Traditional driver's skill tests primarily assess whether candidates meet specific standards in prescribed tasks, which often fails to fully reflect their overall driving performance in real-world scenarios. …”
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Research on an Eye Control Method Based on the Fusion of Facial Expression and Gaze Intention Recognition by Xiangyang Sun, Zihan Cai

“…Finally, the experimental verification of the eye–computer interaction scheme combining the intention recognition model and the eye movement detection model showed that the accuracy of the eye-controlled manipulator to perform various tasks could reach more than 95 percent based on this scheme.…”
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Beyond Trolling: Fine-Grained Detection of Antisocial Behavior in Social Media During the Pandemic by Andrew Asante, Petr Hajek

“…Antisocial behavior (ASB), including trolling and aggression, undermines constructive discourse and escalates during periods of societal stress, such as the COVID-19 pandemic. …”
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CONTENT AND FORMS OF ACTIVITY OF THE INSTITUTION OF THE PRESIDENCY IN ACHIEVING EUROPEAN INTEGRATION SUCCESSES by Anton Shkuro

“…Instead, it unified the nation in its efforts to strengthen and develop its state and political institutions that are tasked with making effective political decisions and providing the necessary conditions for the Ukrainian institution of presidency, particularly in matters of foreign policy. …”
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Research on action matching of skeletal point coordinates and sports teaching application based on Open-pose by Shunmin Su

“…Experimental results show that the loss rate of the skeletal point coordinate action matching method proposed in this paper is 12.4 %, and the Rank-n recognition rate can reach up to 95.2 %, which has higher accuracy, and the application in physical education is conducive to improving the completion of the course tasks, promoting the optimization of the education model, and has good application value.…”
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Are baboons learning "orthographic" representations? Probably not. by Maja Linke, Franziska Bröker, Michael Ramscar, Harald Baayen

“…By contrast, our results suggest that in learning to perform lexical decision tasks, baboons and pigeons do not construct a hierarchy of lexical units. …”
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Examining the role of Chinese language learners' grit and self-efficacy on their engagement in artificial intelligence-driven settings by Jingjing Chen

“…In turn, self-efficacy has a direct effect on engagement, implying that confidence in one's abilities contributes meaningfully to students' engagement in academic tasks. Conclusion: The finding suggests that these two psychological constructs play a substantial and statistically significant role in shaping how actively and meaningfully students participate in AI-driven settings. …”
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Robust Strategy Generation for Automatic Navigation of Unmanned Surface Vehicles through Improved DDPG Algorithm by Wei Wang, Subin Huang, Huabin Diao

“…Methods based on deep reinforcement learning possess powerful learning abilities and have achieved promising results in USV-automatic navigation-tasks. However, the increase in the complexity of network model structures has led to instability during the training process. …”
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The models of behaviour ofthe old generation historians in the presence of sovietization process by Aurimas Švedas

“…Third approach was to attempt to escape from the schemes and to correct the general constructs of Lithuanian history by influencing Soviet historiography with the usage of correct propositions and carefully chosen quotes from the Marxist-Leninist classics. …”
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Modeling of the"thin" structure probability discrepancy distribution in the indications of ADS-B and SSR. Uncompensated latency by I. V. Alipov, V. L. Kuznetsov

“…The upcoming transition to a new generation of the elements in the ATC system - AZN-B - has set a number of tasks related to confirming the integrity of the data received, and determining their accuracy characteristics. …”
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The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment by Sabina Sultana, Manvender Kaur Sarjit Singh, Rabiul Islam, Hafizah Hajimia

“…Data collection involved written essays, two timed writing tasks (a pretest and posttest), and an individual semi-structured interviews. …”
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Extraction-Augmented Generation of Scientific Abstracts Using Knowledge Graphs by Haotong Wang, Yves Lepage

“…Graph-to-text generation for specialized tasks, such as scientific abstract generation, is challenging due to the limited availability of structured knowledge graphs and the need to balance semantic accuracy with paragraph coherence. …”
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Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources by Jarosław Wikarek, Paweł Sitek

“…The lack of seamless integration between customer orders and production tasks, combined with the manual and time-consuming nature of schedule adjustments, highlights the need for an automated and optimized scheduling method. …”
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