The study of the educational process of university students has revealed their need for more engagement in class. They seem unable to absorb material that does not require a certain level of mental tension, negatively...
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ISBN:
(数字)9798331542634
ISBN:
(纸本)9798331542641
The study of the educational process of university students has revealed their need for more engagement in class. They seem unable to absorb material that does not require a certain level of mental tension, negatively affecting their academic performance and competence. Therefore, there is a need to develop pedagogical technology to optimize the educational process. We analyzed the educational process at the National University “Odesa Law Academy” in 2020-2023. We evaluated the effectiveness of ways and means of enhancing the academic and cognitive skills of 150 full-time IT students during their study of professional-oriented courses. We have improved students' educational and mental activities by optimizing the educational process through personalized problem-based learning, utilizing professionally oriented problem situations, and providing favorable motivational and emotional support. We confirmed the reliability of the research results using descriptive statistics.
Sensors are used in various areas and have numerous applications including military surveillance, weather monitoring, maritime communication etc. Most of the applications need the multimedia sensors with directional s...
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The paper is devoted to the solution of urgent problem in the field of transport and warehouse logistics -development of cyber-physical integrated system of courier delivery services. The paper proposes the architectu...
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The task of structural identification the interval models of static objects is considered. It is shown that this task at each iteration is a task the forming and solving interval systems of nonlinear algebraic equatio...
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We analyze an aggregated dynamic model for the development of gas fields. The same company consistently drills all fields. We pose and solve the problem of maximizing accumulated gas production over a predetermined pe...
We analyze an aggregated dynamic model for the development of gas fields. The same company consistently drills all fields. We pose and solve the problem of maximizing accumulated gas production over a predetermined period of time.
The principle of multiplicity is introduced for the components of the investment planning process. Some algorithms are given that ensure the process of investment planning at the regional level: the formation of integ...
The principle of multiplicity is introduced for the components of the investment planning process. Some algorithms are given that ensure the process of investment planning at the regional level: the formation of integrated assessments of investment projects, automated generation of projects, multicriteria evaluation and selection of projects, taking into account the mutual influence of projects, optimizing the composition of projects, and taking into account financing restrictions. The features of the program system intended for the formation of plans for the territorial and sectoral development of the region are considered.
Distributed averaging is among the most relevant cooperative control problems, with applications in sensor and robotic networks, distributed signal processing, data fusion, and load balancing. Consensus and gossip alg...
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Sentiment analysis(SA)of the Arabic language becomes important despite scarce annotated corpora and confined *** affect Analysis has become an active research zone *** still,the Arabic language lags behind adequate la...
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Sentiment analysis(SA)of the Arabic language becomes important despite scarce annotated corpora and confined *** affect Analysis has become an active research zone *** still,the Arabic language lags behind adequate language sources for enabling the SA ***,Arabic still faces challenges in natural language processing(NLP)tasks because of its structure complexities,history,and distinct *** has gained lesser effort than the other *** paper developed a Multi-versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis(MVODRL-AA)on Arabic *** presented MVODRL-AAmodelmajorly concentrates on identifying and classifying effects or emotions that occurred in the Arabic ***,the MVODRL-AA model follows data pre-processing and word ***,an n-gram model is utilized to generate word embeddings.A deep Q-learning network(DQLN)model is then exploited to identify and classify the effect on the Arabic *** last,the MVO algorithm is used as a hyperparameter tuning approach to adjust the hyperparameters related to the DQLN model,showing the novelty of the work.A series of simulations were carried out to exhibit the promising performance of the MVODRL-AA *** simulation outcomes illustrate the betterment of the MVODRL-AA method over the other approaches with an accuracy of 99.27%.
Depression is a global burden and one of the most challenging mental health conditions to control. Using the BDI questionnaire, experts can detect its severity early, administer appropriate medication to patients, and...
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Chaos is not only a unique chapter in the theory of dynamical systems but also a useful one with many applications in the field of communications. In this work a cyclometric modification of the well-known example of c...
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