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On the Trend and Problems of IoT Data Anomaly Detection
With the rapid development of Internet technology, the Internet of Things is also constantly develo** and progressing. More and more areas are...
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Algorithm of Pedestrian Detection Based on YOLOv4
Pedestrian detection technology is applied to more and more scenes, which shows high application value. In recent years, with the development of...
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Research on the Verification Method of Capillary Viscometer Based on Connected Domain
In order to solve the problem that the dust in the insulation cabinet is mistakenly identified as the liquid level in the process of automatic...
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Design of Digital Image Information Security Encryption Method Based on Deep Learning
Due to the high degree of overlap** of digital image information, the security encryption ability of digital image information is weak and the...
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Link Transmission Stability Detection Based on Deep Learning in Opportunistic Networks
In order to solve the low throughput and high delay problems of traditional link transmission stability detection methods, a detection method of link...
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Design and Development on an Accessible Community Website of Online Learning and Communication for the Disabled
Education for the disabled is a social issue that cannot be ignored. Nowadays, due to the impact of COVID-19 and the rapid development of information...
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Gaussian Mass Function Based Multiple Model Fusion for Apple Classification
Near-infrared spectra can be used to predict the internal quality of apple non-destructively, such as Soluble Solids Content (SSC), acidity and so...
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Research on Database Language Query Method Based on Cloud Computing Platform
Some database language query methods have the problems of time cost and resource occupation. Under this background, a database language query method...
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Power Consumption Behavior Analysis Method Based on Improved Clustering Algorithm of Big Data Technology
With the increase of the types and quantities of electrical equipment, the magnitude of user power consumption data has increased exponentially. Deep...
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Power Sequencial Data - Forecasting Trend
In reduce the use of non-renewable energy, the use of renewable energy is increasing day by day. In recent years, with the strong support of the...
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Design of Iot Data Acquisition System Based on Neural Network Combined with STM32 Microcontroller
Aiming at the low efficiency and high power consumption of data acquisition in the Internet of Things, a data acquisition system based on the...
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Multi-Modal Characteristics Analysis of Teaching Behaviors in Intelligent Classroom—Take Junior Middle School Mathematics as an Example
An intelligent classroom is based on constructivist learning theory and it is an intelligent and efficient classroom which based on “teacher-driven,...
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To Read or Not to Read: Predicting Student Engagement in Interactive Reading
In this study, upper-elementary-age students used an interactive reading app to read from a classic children’s novel during a summer program....
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Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome
Early prediction of student outcomes, as they practice with an intelligent tutoring system is crucial for providing timely and effective...
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Content Knowledge Identification with Multi-agent Large Language Models (LLMs)
Teachers’ mathematical content knowledge (CK) is of vital importance and need in teacher professional development (PD) programs. Computer-aided...
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Mars, Minecraft, and AI: A Deep Learning Approach to Improve Learning by Building
Middle school students learned about astronomy and STEM concepts while exploring Minecraft simulations of hypothetical Earths and exoplanets. Small...
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Towards Convergence: Characterizing Students’ Design Moves in Computational Modeling Through Log Data with Video and Cluster Analysis
Programming computational models is foundational for students to better understand scientific phenomena, mirroring the methods employed by real...
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Towards the Automated Generation of Readily Applicable Personalised Feedback in Education
Providing personalised feedback to a large student cohort is a longstanding challenge in education. Recent work in prescriptive learning analytics...
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An Educational Psychology Inspired Approach to Student Interest Detection in Valence-Arousal Space
Studies on AI-based facial emotion recognition (FER) of students explore a multiplicity of algorithmic solutions, taking a categorical or a...
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Coding with AI: How Are Tools Like ChatGPT Being Used by Students in Foundational Programming Courses
Tools based on generative artificial intelligence (AI), such as ChatGPT, have quickly become commonplace in education, particularly in tasks like...