Hand gesture recognition based on a Harris Hawks optimized Convolution Neural Network

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Overview and methods of correlation filter algorithms in object tracking

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Summary: This article focuses on correlation filter-based object tracking algorithms, discussing the challenges faced by the algorithm in addressing scale variation, occlusion, and boundary effects, while summarizing scholars' efforts to continuously improve existing methods for better efficiency and tracking performance.

COMPLEX & INTELLIGENT SYSTEMS (2021)

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Article Computer Science, Hardware & Architecture

Suspicious activity detection using deep learning in secure assisted living IoT environments

G. Vallathan et al.

Summary: This paper proposes a novel deep learning-based method for predicting abnormal events and notifying users in an IoT environment, aiming to protect children from abuse.

JOURNAL OF SUPERCOMPUTING (2021)

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Article Computer Science, Artificial Intelligence

Self-attention-based conditional random fields latent variables model for sequence labeling

Yinan Shao et al.

Summary: To process data like text and speech, Natural Language Processing (NLP) is a valuable tool. Sequence labeling is a vital part of NLP through techniques like text classification, machine translation, and sentiment analysis. Two novel frameworks, SA-CRFLV-I and SA-CRFLV-II, using latent variables within random fields show better performance in terms of well-known metrics compared to 4 well-known sequence prediction methodologies.

PATTERN RECOGNITION LETTERS (2021)

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Article Engineering, Biomedical