Multi-Dimensional Feature Fusion and Enhanced Attention Streaming Movie Prediction Algorithm by Hanqing Hu, Tianmu Tian, Chengjing Liu, Xueyuan Bai

“…Aiming at the challenges of multiple influencing factors, complex data characteristics, and limited data in streaming movie prediction, a feature fusion long- and short-term memory enhanced attention network (FFLSTMEA) was developed to achieve the short-term prediction of key indicators such as streaming movie revenue and to support business decisions. …”
Get full text

A discovery strategy for APT anomaly based on homologous behavior analysis by Yihan YU, Yu FU, Xiaoping WU, Hongcheng LI

“…As APT（advanced persistent threat）attacks are increasingly frequently,higher requirements for the detection of APT attacks were proposed.It was an effective method to early discover the attack behavior of APT based on homologous behavior analysis.Aiming at the problem of low efficiency of data authentication caused by excessive data,the historical behavior database with data label technology was established and the database was stored in the cloud.Relying on the Hadoop platform and the aggregate computing ability of MapReduce and the pseudorandom permutation technique,the whole traffic parallel detection of the network was realized.In order to determine whether there was a APT attack behavior,the detection of APT attacks was implemented by comparing the data labels in the database.Test results show that the proposed method can detect the abnormal behavior of APT from the network as soon as possibleand improve the efficiency of the whole data flow detection.…”
Get full text

Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection by Azka Khoirunnisa, Didit Adytia, Mustafa Mat Deris, Adiwijaya

“…To resolve these issues, gene selection techniques such as filter, wrapper, and embedded methods have been implemented to remove irrelevant genes and reduce the dimensionality of the data. …”
Get full text

SOME “EXOTIC” INFORMATION SOURCES THAT HAVE BEEN DISCOVERED DURING THE SELECTION OF SERIAL PUBLICATIONS TO SUPPORT RESEARCH IN ENERGY SECURITY, ENERGY CONSERVATION AND ENERGY EFFIC... by V. S. Lazarev, I. V. Yurik

“…During the citation analysis-based selection of the world scientific serial publications apposite for a qualitative performance of research in energy security, energy conservation and energy efficient technologies and techniques with the use of the data of Journal Citation Reports® (which basic results are available at: https://figshare.com/articles/energy_sec_xlsx/5606053/2) a noticeable amount of non-serial items was also found out in addition to serial publications, as well as some publications that, though being serial, did not look typical to be used in the research activities. …”
Get full text

Aortic pressure and forward and backward wave components in children, adolescents and young-adults: Agreement between brachial oscillometry, radial and carotid tonometry data and a... by Agustina Zinoveev, Juan M Castro, Victoria García-Espinosa, Mariana Marin, Pedro Chiesa, Daniel Bia, Yanina Zócalo

“…Non-invasive devices used to estimate central (aortic) systolic pressure (cSBP), pulse pressure (cPP) and forward (Pf) and backward (Pb) wave components from blood pressure (BP) or surrogate signals differ in arteries studied, techniques, data-analysis algorithms and/or calibration schemes (e.g. calibrating to calculated [MBPc] or measured [MBPosc] mean pressure). …”
Get full text

Privacy-Preserving Emotion Detection: Evaluating the Trade-Off Between K-Anonymity and Model Performance by Alejandro de Leon Langure, Mahdi Zareei

“…This study aims to challenge this notion by demonstrating that even straightforward anonymization preprocessing techniques do not substantially alter the performance of machine learning models, regardless of their initial capabilities, while simultaneously safeguarding user privacy. …”
Get full text

Evaluación de medios de cultivo para la producción in vitro de Annona muricata mediante la técnica de microinjertación seriada Evaluation of culture media for in vitro production o... by Aleyda Maritza Acosta Rangel, Enrique Javier Peña Salamanca, Dagoberto Castro Restrepo

“…The recalcitrance of the vegetative buds of this species has hindered the micropropagation of selected material according to its high productivity. This research aimed to evaluate culture medium combined with the technique of serial micrografting to promote in vitro plant growth of Annona muricata. …”
Get full text

The use of combined fenestrated and bifurcated endografts in fenestrated aortic repair by Eric Dorenberg, Anne-Marte Schrøder-Aasen, Beate Lindberg, Rune Andersen, Steinar Guvåg, Ulrik Carling

Get full text

The Underlying Cognitive Processes of Thin Slices Judgments on Teaching Quality by Konstantin Vinokic, Lukas Begrich, Mareike Kunter, Susanne Kuger

“…Among other, researcher have applied the thin slices technique to assess instructional quality, showing that teacher-student interactions can be reliably inferred by just very short snippets of classroom instruction. …”
Get full text

Tratamento da ptose mamária e hipomastia utilizando técnica de mamoplastia com pedículo súpero-medial e implante mamário Treatment of breast ptosis and hypomastia using the superom... by Alexandre Wada, Lincoln Saito Millan, Samuel Terra Gallafrio, Rolf Gemperli, Marcus Castro Ferreira

“…The aim of this study is to describe the surgical technique used for breast augmentation in patients with breast ptosis, as well as the incidence of complications and surgical revision. …”
Get full text

CNN Based Deep Learning Modeling with Explainability Analysis for Detecting Fraudulent Blockchain Transactions by Mohammad Hasan, Mohammad Shahriar Rahman, Mohammad Jabed Morshed Chowdhury, Iqbal H. Sarker

“…This study aims to fill that gap, focusing on our 1D Convolutional Neural Network (CNN) model, which combines the power of eXplainable Artificial Intelligence (XAI) techniques. …”
Get full text

Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…The education sector currently faces several challenges, including the subjectivity of evaluation methods, uniformity of data, and a lack of real-time feedback. This study aims to address these issues by leveraging deep learning techniques, specifically Convolutional Neural Networks (CNNs), to accurately assess and enhance the quality of university teaching. …”
Get full text

Infrared and Visible Camera Integration for Detection and Tracking of Small UAVs: Systematic Evaluation by Ana Pereira, Stephen Warwick, Alexandra Moutinho, Afzal Suleman

“…Two data integration techniques, at the decision and pixel levels, are compared with the use of each sensor independently to evaluate the system robustness in different operational conditions. …”
Get full text

Dependency-based fault diagnosis approach for SOA-based systems using Colored Petri Nets by Guru Prasad Bhandari, Ratneshwer

“…Data and control dependencies are identified and a fault diagnosis approach based on these dependencies is proposed in this paper. …”
Get full text

Efficiency Measurement With A Three-Stage Hybrid Method by İrfan Ertuğrul, Tayfun Öztaş

“…Data Envelopment Analysis (DEA) is one of the most widely used efficiency measurement techniques in the literature. …”
Get full text

On the Development of an Acoustic Image Dataset for Unexploded Ordnance Classification Using Front-Looking Sonar and Transfer Learning Methods by Piotr Ściegienka, Marcin Blachnik

Get full text

TF-LIME : Interpretation Method for Time-Series Models Based on Time–Frequency Features by Jiazhan Wang, Ruifeng Zhang, Qiang Li

“…With the widespread application of machine learning techniques in time series analysis, the interpretability of models trained on time series data has attracted increasing attention. …”
Get full text

Artificial Intelligence in Thoracic Surgery: Transforming Diagnostics, Treatment, and Patient Outcomes by Sara Lopes, Miguel Mascarenhas, João Fonseca, Maria Gabriela O. Fernandes, Adelino F. Leite-Moreira

“…AI-based tools can be employed in medicine, and by extracting useful information from big data, they allow for the early diagnosis of diseases like lung cancer. …”
Get full text

Machine learning framework to estimate ridership loss in public transport during external crises: case study of bus network in Stockholm by Mahsa Movaghar, Erik Jenelius, David Hunter

“…Abstract Recent technologies for recording and storing data, as well as advancements in data processing techniques, have opened up novel possibilities for urban planners to design a more optimal public transport network. …”
Get full text

A Comprehensive Review of Multimodal Analysis in Education by Jared D. T. Guerrero-Sosa, Francisco P. Romero, Víctor H. Menéndez-Domínguez, Jesus Serrano-Guerrero, Andres Montoro-Montarroso, Jose A. Olivas

“…It provides a detailed analysis of data collection modalities, feature extraction pipelines, modelling techniques—including machine learning, deep learning, and fusion strategies—and software frameworks used across various educational settings. …”
Get full text