MBLSTM is a contextual interaction refined method for time series prediction by Weihan Qiu, Fangjie Zhu, Tianyong Hao, Maojie Wang, Runyue Huang

“…However, the adequacy of the existing methods for contextual information interaction is still insufficient when dealing with a longer memory need in clinical data modelling. …”
Get full text

Integration Method with Backpropagation by Nidhal AL-Assady, Jamal Majeed, Shahbaa Khaleel

“…In this research, a new method is discovered (combined method) to accelerate the backpropagation network by using the expected values of source units for updating weights, we mean the expected value of unit by the sum of the output of the unit and its error term multiplied by the factor Beta to accelerate the algorithm and also adjust the value of learning coefficient continuously if the value of energy function E decreases the learning rate is increased by a factor , if the value of the energy function E increases , the value of the learning rate is decreased by a factor . …”
Get full text

APPLYING THE STATION TEACHING METHOD IN TEACHING HISTORY AND GEOGRAPHY FOR 4TH GRADE by Pham Thi Dieu Linh*, Tran Thi Thuy Linh, Bui Thi Linh Chi

Subjects: Get full text

Implementation of Machine Vision Methods for Cattle Detection and Activity Monitoring by Roman Bumbálek, Tomáš Zoubek, Jean de Dieu Marcel Ufitikirezi, Sandra Nicole Umurungi, Radim Stehlík, Zbyněk Havelka, Radim Kuneš, Petr Bartoš

Get full text

Advances in Traffic Congestion Prediction: An Overview of Emerging Techniques and Methods by Aristeidis Mystakidis, Paraskevas Koukaras, Christos Tjortjis

Subjects: Get full text

The group analysis method by Mauricio Manuel Garcia-Peñafiel, Yves Cartuyvels

“…The paper presents the Group Analysis Method (GAM), as a qualitative field research methodology, and its relations with mediation. …”
Get full text

Mapping Informal Digital Care Practice in Later Life: A Playshop Model by Caitlin McGrane, Katrin Gerber, Larissa Hjorth

Subjects: Get full text

Privacy-Preserving Data Mining Methods Metrics and Applications in Healthcare Informatics by Shukla Abhay, Chaurasia Shubham, Pandey Gaurav, Kumar Shukla Sanjeev, Singh Parihar Subhash, P B Edwin Prabhakar

Get full text

Learning Online vs. Learning in Person: A Mixed-Methods Approach to Understanding How Student Preferences and Perceptions have Evolved Since the Pandemic by Kristi Bright, Jane Vogler

“…Taking a convergent mixed-methods approach, we analyzed qualitative data related to reasons for their online or face-to-face preferences and quantitative data related to their self-efficacy and self-regulation for online learning. …”
Get full text

Hybridize Machine Learning Methods and Optimization Techniques to Analyze and Repair Welding Defects via Digital Twin of Jidoka Simulator by Ahmed M. Abed, Tamer S. Gaafar

Get full text

A 20-year research trend analysis of the artificial intelligence on scoliosis using bibliometric methods by Bin Zheng, Zhenqi Zhu, Yan Liang, Chen Guo, Haiying Liu

“…BackgroundThis bibliometric analysis aimed to map the knowledge network of artificial intelligence in scoliosisMethodsStudies on artificial intelligence published from January 2003 to December 2024 are retrieved from Web of Science Core Collection (WoSCC). …”
Get full text

Joint channel and impulsive noise estimation method for OFDM systems by Xinrong LYU, Youming LI, Mingchen YU

“…Aiming at the impulsive noise occurring in OFDM systems,an impulsive noise mitigation algorithm based on compressed sensing theory was proposed.The proposed algorithm firstly treated the channel impulse response and the impulsive noise as a joint sparse vector by exploiting the sparsity of both them.Then the sparse Bayesian learning framework was adopted to jointly estimate the channel impulse response,the impulsive noise and the data symbols,in which the data symbols were regarded as unknown parameters.Compared with the existing impulsive noise mitigation methods,the proposed algorithm not only utilized all subcarriers but also did not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed algorithm achieves significant improvement on the channel estimation and bit error rate performance.…”
Get full text

Classification Evaluation Method for Complex Reservoirsin Xinglong Structural Belt by LI Xiaofeng, CAI Jun, XIAO Chengwen, CAI Wenyuan, YU Weigao, FU Shaoqing, GUO Yuqing

“…Using reservoir quality factor index and macroscopic effective pore permeability index, a reservoir classification method based on machine learning algorithm and multi parameter fusion as the core has been established, effectively solving the problem of low accuracy in reservoir classification evaluation due to the lack of nuclear magnetic logging. …”
Get full text

A Vegetable-Price Forecasting Method Based on Mixture of Experts by Chenyun Zhao, Xiaodong Wang, Anping Zhao, Yunpeng Cui, Ting Wang, Juan Liu, Ying Hou, Mo Wang, Li Chen, Huan Li, Jinming Wu, Tan Sun

“…As a result, we propose a novel vegetable-price forecasting method based on mixture of expert models (VPF-MoE), which combines the strengths of large language models and deep learning methods. …”
Get full text

ENHANCING CYBERSECURITY THROUGH MALWARE DETECTION BASED ON MACHINE LEARNING TECHNIQUE by Amer Mohamed Shhatha, Omar Ibrahim Alsaif

Subjects: Get full text

The clinical method as a diagnosis method. A critique to a standing conception. by Luis Alberto Corona Martínez

“…The importance of the clinical method in the assistance practice is out of question. …”
Get full text

The clinical method as a diagnosis method. A critique to a standing conception by Luis Alberto Corona Martínez

“…The importance of the clinical method in the assistance practice is out of question. …”
Get full text

Evapotranspiration Prediction Method Based on K-Means Clustering and QPSO-MKELM Model by Chuansheng Zhang, Minglai Yang

Get full text

Detection of Anomalies in Data Streams Using the LSTM-CNN Model by Agnieszka Duraj, Piotr S. Szczepaniak, Artur Sadok

Subjects: Get full text

EDUCATIONAL EXPERIENCES IN THE RAILWAY INDUSTRY by Attila FARKAS, Roland FILEP, Krisztina DAJNOKI

Subjects: “…teaching methods…”
Get full text