نتایج جستجو برای: task based strategy assessment
تعداد نتایج: 3746901 فیلتر نتایج به سال:
Task offloading in mobile edge computing (MEC) improves the efficacy of devices terms performance, data storage, and energy consumption by computational tasks to servers. Efficient task can leverage MEC technology reduce processing latency consumption. By integrating reasoning ability machine intelligence cognitive architecture, such as SOAR ACT-R, reinforcement learning (RL) algorithms have be...
this study examined the effects of aural and written prompts under two planning conditions (i.e. pre-task planning and no planning) on complexity, accuracy, and fluency of test takers' writing production. forty learners in an english institute, who had already been classified as intermediate according to the oxford placement test, were assigned to two planning conditions (i.e. no planning and p...
Case-based problem-solving systems reason and learn from experiences, building up case libraries of problems and solutions to guide future reasoning. The expected bene ts of this learning process depend on two types of regularity: (1) problem-solution regularity, the relationship between problem-to-problem and solution-to-solution similarity measures that assures that solutions to similar prior...
abstracttask-based language teaching is considered an effective way to achieve a harmony between grammar and communication. the present study investigates two different ways of teaching modal verbs: task-based versus traditional approaches. to this purpose, an oxford placement test was administered to select 40 homogeneous participants out of a larger population who took this test. the selected...
Effective Task Allocation and Stable Cooperative Organization based on Behavioral Strategy Selection
Road traffic forecasting is crucial in Intelligent Transportation Systems (ITS). To achieve accurate results, it necessary to model the dynamic nature and complex non-linear dependencies governing traffic. The goal particularly challenging when prediction involves more than just one variable. This paper proposes a novel multi-task learning model, called AST-MTL, perform multi-horizon prediction...
Machines are good at handling huge amounts of data, but they lack the fl exibility and sensitivity of human perception when making decisions or observations. To understand human perception, we look toward what defi nes being human. To sense, observe, and make sense of the world around us, we combine our biological receptors (eyes, ears, etc.) with our cognitive faculties (memory, emotion, etc.)...
With the improvements in intelligent level of connected vehicles (CVs), travelers can enjoy services such as self-driving, self-parking and audiovisual entertainment inside vehicle, which place extremely high demands on computing power onboard systems (OBSs). However, arithmetic a single CV often cannot meet diverse service in-vehicle system. As new paradigm, task offloading based vehicular edg...
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