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Confidence-Guided Frame Skipping to Enhance Object Tracking Speed.
Sensors (Basel)
December 2024
School of Software, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Republic of Korea.
Object tracking is a challenging task in computer vision. While simple tracking methods offer fast speeds, they often fail to track targets. To address this issue, traditional methods typically rely on complex algorithms.
View Article and Find Full Text PDFArrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms.
Sensors (Basel)
December 2024
Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
The automatic detection of arrhythmia is of primary importance due to the huge number of victims caused worldwide by cardiovascular diseases. To this aim, several deep learning approaches have been recently proposed to automatically classify heartbeats in a small number of classes. Most of these approaches use convolutional neural networks (CNNs), exploiting some bi-dimensional representation of the ECG signal, such as spectrograms, scalograms, or similar.
View Article and Find Full Text PDFDNA-PRESENT: An Improved Security and Low-Latency, Lightweight Cryptographic Solution for IoT.
Sensors (Basel)
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Department of P & M, PIR Mehr Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.
The vast interconnection of resource-constrained devices and the immense amount of data exchange in the Internet of Things (IoT) environment resulted in the resurgence of various security threats. This resource-constrained environment of IoT makes data security a very challenging task. Recent trends in integrating lightweight cryptographic algorithms have significantly improved data security in the IoT without affecting performance.
View Article and Find Full Text PDFStudy on the Bending and Shear Behavior of a New Type of Wet Joint in Precast Concrete Deck for Composite Bridges.
Materials (Basel)
December 2024
Key Laboratory of New Technology for Construction of Cities in Mountain Area, School of Civil Engineering, Chongqing University, Chongqing 400000, China.
According to the mechanical characteristics of joints in steel-concrete composite bridge decks under the combined bending and shear, improved joint details with simple structure and convenient construction were studied, including lapped U-bars, lapped headed bars, and lapped hook bars. In order to test the mechanical properties of the three joint details and compare them with the existing lapped/welded linear bars, the tests of five specimens were carried out. The cracking load, ultimate load, failure mode, crack pattern, and reinforcement strain were analyzed.
View Article and Find Full Text PDFMHTAPred-SS: A Highly Targeted Autoencoder-Driven Deep Multi-Task Learning Framework for Accurate Protein Secondary Structure Prediction.
Int J Mol Sci
December 2024
Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China.
Accurate protein secondary structure prediction (PSSP) plays a crucial role in biopharmaceutics and disease diagnosis. Current prediction methods are mainly based on multiple sequence alignment (MSA) encoding and collaborative operations of diverse networks. However, existing encoding approaches lead to poor feature space utilization, and encoding quality decreases with fewer homologous proteins.
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