Hybrid transformer-CNN and LSTM model for lung disease segmentation and classification by Syed Mohammed Shafi, Sathiya Kumar Chinnappan

“…After segmentation, essential features such as texture, shape, color, and deep features are retrieved. …”
Get full text

Optimized Energy Consumption of Electric Vehicles with Driving Pattern Recognition for Real Driving Scenarios by Bedatri Moulik, Sanmukh Kaur, Muhammad Ijaz

“…A neural network-based classifier is then employed for classification into six classes based on four features. …”
Get full text

FCN-PD: An Advanced Deep Learning Framework for Parkinson’s Disease Diagnosis Using MRI Data by Manal Alrawis, Farah Mohammad, Saad Al-Ahmadi, Jalal Al-Muhtadi

“…These features are then processed by a Fully Connected Network (FCN) for final classification. …”
Get full text

The integration of psychological education and moral dilemmas from a value perspective by XiaoFen Jia, WenQing Wu

“…An empirical study is conducted to evaluate the impact of psychological feature analysis on addressing value issues through the lens of psychological education. …”
Get full text

Metaverse meets distributed machine learning: A contemporary review on the development with privacy-preserving concerns by Samuel Harry Gardner, Trong-Minh Hoang, Woongsoo Na, Nhu-Ngoc Dao, Sungrae Cho

Get full text

GMVO: graph-CNN-based trajectories’ instance-level segmentation for multi-motion visual odometry by Fang Wan, Qiying Zhao, Hongchang Sun, Fengyu Zhou, Yanzheng Wang, Panlong Gu

“…To address this challenge, this study proposes a two-stage landmark instance segmentation network, GMVO, based on geometric features. First, a supervised method is used to classify static trajectories for camera odometer calculations and dynamic trajectories for rigid body motion estimation. …”
Get full text

Identification of key genes associated with oxidative stress in ischemic stroke via bioinformatics integrated analysis by Gaiyan Li, Yu Cheng, Shanshan Ding, Qianyun Zheng, Lanqiong Kuang, Ying Zhang, Ying Zhou

“…In addition, the network between feature genes and microRNAs (miRNAs) was established to investigate the regulatory mechanism of feature genes. …”
Get full text

Machine learning discrimination of Gleason scores below GG3 and above GG4 for HSPC patients diagnosis by Bingyu Zhu, Longguo Dai, Huijian Wang, Kun Zhang, Chongjian Zhang, Yang Wang, Feiyu Yin, Ji Li, Enfa Ning, Qilin Wang, Libo Yang, Hong Yang, Ruiqian Li, Jun Li, Chen Hu, Hongyi Wu, Haiyang Jiang, Yu Bai

“…Seven auxiliary models were established using Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), Extreme gradient boosting tree (XGBoost), Adaptive Boosting (Adaboost), and artificial neural network (ANN) based on 21 clinical biochemical indicators and features. …”
Get full text

Group attention for collaborative filtering with sequential feedback and context aware attributes by Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami

“…A Hierarchical Attention Network returns a highly complicated item-attribute relationship, while a Group-wise enhancement mechanism improves the representation of features by reducing noise while emphasizing important attributes. …”
Get full text

Vit-Traj: A Spatial–Temporal Coupling Vehicle Trajectory Prediction Model Based on Vision Transformer by Rongjun Cheng, Xudong An, Yuanzi Xu

“…Specifically, we propose an end-to-end spatiotemporal feature coupling model based on visual Transformer, Vit-Traj, which extracts spatiotemporal features through 2D convolution and uses Vit and SENet to complete feature fusion. …”
Get full text

Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

“…The model utilizes CNNs for local feature extraction and BiLSTM networks to capture temporal dynamics, maintaining user privacy.ResultsThe TS-CNN-BiLSTM model achieved an average classification accuracy of 99.6% across eight physical activity types, outperforming state-of-the-art methods by 1.9–4.4%. …”
Get full text

Enhanced automated art curation using supervised modified CNN for art style classification by Weiwei Li

“…Abstract This study explores the application of a supervised Modified Convolutional Neural Network (CNN) for automated art classification and curation. …”
Get full text

Trimodal machine learning based biometrics system by Maciej Szymkowski, Khalid Saeed

“…Two ideas for feature vector creation are proposed—they are based on simple mathematical operations on the feature vectors obtained from each trait. …”
Get full text

Enhanced Fault Localization in Multi-Terminal HVDC Systems Using Improved Gaussian Process Regression by Abha Pragati, Manohar Mishra, Pritam Bhowmik, Josep M. Guerrero, Debadatta Amaresh Gadanayak

“…Additionally, a detailed analysis on feature selection is conducted using the RRelief feature selection method. …”
Get full text

A Multi-Agent Centralized Strategy Gradient Reinforcement Learning Algorithm Based on State Transition by Lei Sheng, Honghui Chen, Xiliang Chen

“…As the input of the actor network, the automatically extracted local observation representation reduces the input state dimension, enhances the local state features closely related to the local state transition, and promotes the agent to use the local state features that affect the next observation state. …”
Get full text

GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…Genetic algorithms optimize the hyperparameters, including learning rates and network architectures, while the attention mechanism enhances the model's ability to focus on relevant temporal patterns. …”
Get full text

Sylph: An Unsupervised APT Detection System Based on the Provenance Graph by Kaida Jiang, Zihan Gao, Siyu Zhang, Futai Zou

Get full text

Transcriptome-wide identification and systematic analysis of the Retrotransposon genes and their roles in ginsenoside biosynthesis in Panax ginseng by Chaofan Wang, Ruicen Liu, Dinghui Wang, Li Li, Yue Jiang, Yanfang Wang, Kangyu Wang, Mingzhu Zhao, Yi Wang, Meiping Zhang

“…However, research has primarily focused on their roles in genome structure and evolution, while their basic characteristics and impact on ginsenoside biosynthesis remain largely unexplored. …”
Get full text

TrapMI: A Data Protection Method to Resist Model Inversion Attacks in Split Learning by Hyunsik Na, Daeseon Choi

“…Split learning is a neural network training approach that can overcome the limitations of traditional deep neural networks in edge artificial intelligence environments. …”
Get full text

Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease by Heather Mary-Kathleen Kosick, Chris McIntosh, Chinmay Bera, Mina Fakhriyehasl, Mohamed Shengir, Oyedele Adeyi, Leila Amiri, Giada Sebastiani, Kartik Jhaveri, Keyur Patel

Get full text