Deep Learning-Based Detection and Identification Method for Sports Health Video Dissemination by Yajun Pang

“…To show the high efficiency of our method, we select three main databases for validation, and the results prove that AAEN outperforms by 13.96%, 16.90%, and 15.10% in precision, F1 score, and recall compared to the SOTA in sports health video detection and recognition. Our method also performs better overall in the same type of algorithms.…”
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Big-Data-Driven Transformations in Biomedical Research Paradigm by Jianhui LI, Ning YANG

“…We are currently witnessing a golden era of artificial intelligence for science, marked by a continuous emergence of new algorithms capable of processing diverse biological data sources, and novel tools for uncovering and understanding physiological and pathological knowledge. …”
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Optimizing Energy Efficiency and Green Storage in RAID-6 Systems: Comparative Analyses of Error Correction Codes by Guo Pinyi

“…Despite their benefits, these systems are also associated with high energy consumption, significantly impacting the carbon footprint of data facilities. …”
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Peasantry of Southern Russia in 1920s by I. A. Khronova

“…The question of the attitude of the peasantry to socialist modernization, the relevance of which is due to the fact that historically the south of Russia set one of the general algorithms of scientific search in studying the problems of this area is considered. …”
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Kinematic Analysis of the Stable Platform of the S-RPS-SPS Parallel Mechanism by Li Mingliang, She Shigang, Yu Zhuqing

“…The calculation formula, rotation angle range and coordinates are simulated by algorithms in Matlab software, and the correctness of the moving platform pose is verified. …”
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Hardware and Software Synthesis of Heterogeneous Systems from Dataflow Programs by Ghislain Roquier, Endri Bezati, Marco Mattavelli

“…Experimental results based on the implementation of several video coding algorithms onto heterogeneous platforms are also provided to show the effectiveness of the approach both in terms of portability and scalability.…”
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Advances on whole genome sequencing in Triticeae by KUANG Liuhui, LI Qi, ZHANG Guoping

“…With the rapid development of third-generation long read sequencing technologies and assembly algorithms designed for complex genomes, and also the falling cost of genome sequencing in recent years, more and more Triticeae species have been successfully sequenced. …”
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An Intelligent Strategy for Tactical Movements of UAVs in Disaster Scenarios by J. Sánchez-García, J. M. García-Campos, S. L. Toral, D. G. Reina, F. Barrero

“…We propose an intelligent strategy that allows UAVs to perform tactical movements in a disaster scenario, combining the Jaccard distance and artificial intelligence algorithms like hill climbing and simulated annealing. …”
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Game-theory behaviour of large language models: The case of Keynesian beauty contests by Lu Siting Estee

“…Results with simulated agents not only convey insights into potential human behaviours in competitive settings, but also prove valuable for understanding strategic interactions among algorithms.…”
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Position Weight Matrix, Gibbs Sampler, and the Associated Significance Tests in Motif Characterization and Prediction by Xuhua Xia

“…Position weight matrix (PWM) is not only one of the most widely used bioinformatic methods, but also a key component in more advanced computational algorithms (e.g., Gibbs sampler) for characterizing and discovering motifs in nucleotide or amino acid sequences. …”
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The Evolution of Portfolio Theory: Integrating Machine Learning with Markowitz Optimization by Xu Junhao

“…The research also shows that ML can enhance Sharpe ratios in specific market conditions compared to conventional MPT. …”
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EEG Signal Analysis for Numerical Digit Classification: Methodologies and Challenges by Augoustos Tsamourgelis, Adam Adamopoulos

“…We achieve strong differentiation capabilities between digit and non-digit values in all classification algorithms. However, our study also highlights the profound neurological challenges encountered in distinguishing between the digit values, as our model, inspired by the related bibliography, was unable to differentiate between digit values 0 and 1. …”
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The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch by Meyer Z. Pesenson, Isaac Z. Pesenson, Bruce McCollum

“…Traditional methods are often inadequate not merely because of the size in bytes of the data sets, but also because of the complexity of modern data sets. …”
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Speech Emotion Recognition Based on Voice Fundamental Frequency by Teodora DIMITROVA-GREKOW, Aneta KLIS, Magdalena IGRAS-CYBULSKA

“…The human voice is one of the basic means of communication, thanks to which one also can easily convey the emotional state. This paper presents experiments on emotion recognition in human speech based on the fundamental frequency. …”
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Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…This paper estimates diabetes by its key features and also categorizes the relations between conflicting elements. …”
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Monocular vision guided deep reinforcement learning UAV systems with representation learning perception by Zhihan Xue, Tad Gonsalves

“…In recent years, numerous studies have applied deep reinforcement learning (DRL) algorithms to vision-guided unmanned aerial systems. …”
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IDLEWiSE by Chiara Fusar Bassini, Leonard Hackel, Thorren Kirschbaum

“…This paper outlines an optimization tool using efficient machine-learning algorithms like decision trees to learn optimal shutdown policies online. …”
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Hybrid Machine Learning Model for Electricity Consumption Prediction Using Random Forest and Artificial Neural Networks by Witwisit Kesornsit, Yaowarat Sirisathitkul

“…This study presents a hybrid machine learning model by integrating dimensionality reduction and feature selection algorithms with a backpropagation neural network (BPNN) to predict electricity consumption in Thailand. …”
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A traceable authentication system based on blockchain for decentralized physical infrastructure networks by Liang Liu, Kazumasa Omote

“…Abstract With the rapid development of decentralized physical infrastructure networks (DePIN), resource sharing among devices has become more convenient, but it also introduces new risks of malicious behavior. …”
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Improving Performance of Projector with the Protection of the Eyes while using a Smart Board by Abdulrafa Maree

“…The focus of this light is harmful to the human eye, which leads to temporary blindness when it falls directly on the eye. It also leads to harmful side effects. The light falling on the presenter body will make the picture on the screen looks unprofessional and unclear and distract the attention of the students. …”
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