Comparing Cross-Subject Performance on Human Activities Recognition Using Learning Models by Zhe Yang, Mengjie Qu, Yun Pan, Ruohong Huan

“…Although recent studies have achieved satisfactory results in a non-cross-subject condition, the recognition performance has significant degradation under the cross-subject criterion. In this paper, we evaluate three traditional machine learning methods and five deep neural network architectures under the same metrics on three popular HAR datasets: mHealth, PAMAP2, and UCIDSADS. …”
Get full text

Human pose estimation in physiotherapy fitness exercise correction using novel transfer learning approach by Aisha Naseer, Ali Raza, Hadeeqa Afzal, Aseel Smerat, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…Objective To introduce and evaluate an efficient neural network approach for human pose estimation and correction during physical therapy exercises using wearable sensor data. …”
Get full text

Exploring canyons beneath Devon Ice Cap for sub-glacial drainage using radar and thermodynamic modeling by Chris Pierce, Mark Skidmore, Lucas Beem, Don Blankenship, Ed Adams, Christopher Gerekos

“…Sub-glacial canyon features up to 580 m deep between flat terraces were identified beneath Devon Ice Cap during a 2023 radar echo sounding (RES) survey. …”
Get full text

Credit Scoring Prediction Using Deep Learning Models in the Financial Sector by Xi Shi, Dingfen Tang, Yike Yu

“…At the core of our framework is a hybrid neural network architecture, which leverages Long Short-Term Memory (LSTM) units to handle sequential dependencies alongside dense layers that model complex interactions among features. …”
Get full text

Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset by Ahmed E. Mansour Atwa, El-Sayed Atlam, Ali Ahmed, Mohamed Ahmed Atwa, Elsaid Md. Abdelrahim, Ali I. Siam

“…<b>Methods</b>: This study introduces two models: a custom convolutional neural network (CNN) with a dual-branch architecture for processing ECG signals and demographic data (e.g., age, gender), and a modified VGG16 model adapted for multi-branch input. …”
Get full text

Detection of pediatric developmental delay with machine learning technologies. by Shin-Bo Chen, Chi-Hung Huang, Sheng-Chin Weng, Yen-Jen Oyang

“…We then built 3 types of machine learning based prediction models, namely the deep neural network models (DNN), the support vector machine (SVM) models, and the decision tree (DT) models, to evaluate the effectiveness of the proposed approach.…”
Get full text

Detection of Violent Scenes in Cartoon Movies Using a Deep Learning Approach by Noreen Fayyaz Khan, Sareer Ul Amin, Zahoor Jan, Changhui Yan

“…Subsequently, a Convolutional Neural Network (CNN) was utilized to extract prominent features from these selected key frames. …”
Get full text

Dual-Model Synergy for Fingerprint Spoof Detection Using VGG16 and ResNet50 by Mohamed Cheniti, Zahid Akhtar, Praveen Kumar Chandaliya

Get full text

A Cross-Project Defect Prediction Model Based on Deep Learning With Self-Attention by Wanzhi Wen, Ruinian Zhang, Chuyue Wang, Chenqiang Shen, Meng Yu, Suchuan Zhang, Xinxin Gao

“…Software defect prediction technique usually first extracts software project features and then trains prediction models based on various classifiers. …”
Get full text

Attention-Guided Wireless Channel Modeling and Generating by Yawen He, Nan Xu, Li Cheng, Haiwen Yuan

“…Deep learning technology is gradually applied in the wireless communication field, and the Generative Adversarial Network (GAN) framework provides a new solution for channel modeling. …”
Get full text

Identifying factors affecting the distribution strategy in the food industry with the attitude of marketing and online sales by solmaz seyedghafouri, Vahid nasehifar, Farid askari

“…Eventually, 16 components were evaluated and identified, and finally the ultimate framework was confirmed and identified by applying the total opinions of experts on the components of human factors, creating value for the customer, paying attention to the competence of managers, internal factors, external factors, management factors, opinion mining, digital marketing, environmental factors, content marketing, business strategies, complete knowledge of the internal and external environment, direct marketing, visual features, optimization, competitive performance. …”
Get full text

Winter Oilseed Rape LAI Inversion via Multi-Source UAV Fusion: A Three-Dimensional Texture and Machine Learning Approach by Zijun Tang, Junsheng Lu, Ahmed Elsayed Abdelghany, Penghai Su, Ming Jin, Siqi Li, Tao Sun, Youzhen Xiang, Zhijun Li, Fucang Zhang

“…Leaf area index (LAI) serves as a critical indicator for evaluating crop growth and guiding field management practices. …”
Get full text

Deep Hierarchical Representation from Classifying Logo-405 by Sujuan Hou, Jianwei Lin, Shangbo Zhou, Maoling Qin, Weikuan Jia, Yuanjie Zheng

“…We introduce a logo classification mechanism which combines a series of deep representations obtained by fine-tuning convolutional neural network (CNN) architectures and traditional pattern recognition algorithms. …”
Get full text

Association Mining for Operation and Maintenance Safety Risks of EMUs Based on Unstructured Event Data by Haixing Wang, Longtao Guo, Hong Yin, Yuefeng Huang, Shimeng Li

“…Constructing appropriate safety feature quantities by fully and effectively utilizing this data is a prerequisite for establishing a safety prevention and control network for EMUs. …”
Get full text

Performer-KAN-Based Failure Prediction for IGBT with BO-CEEMDAN by Yue Xiao, Fanrong Wang

“…The model’s performance was evaluated using key metrics such as MAE, RMSE, and R². …”
Get full text

ECG Signal Classification Using MODWT and CNN for Early Detection of Cardiac Abnormalities by Mohammad Yusuf Hamadani, Zainul Abidin, Muhammad Fauzan Edy Purnomo

“…This study proposes a method that integrates Maximal Overlap Discrete Wavelet Transform (MODWT) for feature extraction with a Convolutional Neural Network (CNN) to enhance classification performance. …”
Get full text

Data-driven personalized marketing strategy optimization based on user behavior modeling and predictive analytics: Sustainable market segmentation and targeting. by Bin Sun

“…In this study, we propose a novel framework called DP-GCN (Deterministic Policy Graph Convolutional Network), which integrates multi-level Graph Convolutional Networks (GCNs) with Deep Deterministic Policy Gradient (DDPG) reinforcement learning to model heterogeneous information networks composed of users, products, and search queries. …”
Get full text

Comparative assessment of a COVID-19 vaccine after technology transfer to Iran from critical quality attributes to clinical and immunogenicity aspects by Delaram Doroud, Mona Sadat Larijani, Alireza Biglari, Fatemeh Ashrafian, Talieh Sabouni, Sana Eybpoosh, Vicente Verez-Bencomo, Yury Valdés-Balbín, Dagmar García-Rivera, Yaneli Herrera-Rojas, Yanet Climent-Ruiz, Darielys Santana-Mederos, Amitis Ramezani

“…The CQAs were all in the acceptance limits in terms of safety and efficacy as well as clinical evaluation results. The immunogenicity evaluation also confirmed no significant differences between the vaccines regarding reinfection (P = 0.199) or vaccine breakthrough (P = 0.176). …”
Get full text

Geoconservation in Latin America and the Caribbean by Maria Da Gloria Motta Garcia, Marcos Antonio Leite Do Nascimento

“…Currently, twelve UNESCO Global Geoparks (UGGp) comprise the network: five in Brazil, two in Mexico, and one each in Nicaragua, Ecuador, Peru, Chile and Uruguay (Fig. 1). …”
Get full text

Global trends in machine learning applications for single-cell transcriptomics research by Xinyu Liu, Zhen Zhang, Chao Tan, Yinquan Ai, Hao Liu, Yuan Li, Jin Yang, Yongyan Song

“…Chinese Academy of Sciences and Harvard University emerged as core collaboration hubs, with international cooperation network primarily featuring US-China collaboration. …”
Get full text