Dynamic identification method for flow patterns of liquid-solid two-phase flow in horizontal pipelines by ZHUJUNLIANG Junliang, ZHAOZHIFENG, WANGSHUGANG, JIANG Shuang

“…The natural phenomenon of liquid-solid two-phase flow is extremely common and closely related to various human production and life processes. Obtaining the flow pattern of liquid-solid two-phase flow in pipelines is crucial for correcting real-time flow rates and ensuring the safe operation of the entire system in order to avoid blockages. …”
Get full text

Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks by K. Vinoth, P. Sasikumar

“…The proposed work is evaluated using metrics such as velocity, accuracy rate, success rate, success ratio, mean squared error, loss rate, and accumulated reward.…”
Get full text

Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Shan Zhu

“…This paper proposes a decision tree structure, which is similar to the overall scoring process of raters, and uses the Interactive Dicremiser version 3 (ID3) algorithm to build a comprehensive evaluation decision tree for pitch, rhythm, intonation, speech rate, and emotion indicators. …”
Get full text

Concrete Crack Skeleton Analysis: A Machine Vision Approach to Feature Extraction by Rui Wang, Xinxin Guo, Jiaxuan Liu, Yu Wan

“…Therefore, a feature extraction method based on inflection point recognition of concrete surface crack skeleton is proposed in this paper. The main processing steps include image preprocessing, crack skeleton extraction, and inflection point recognition. …”
Get full text

Evaluating LSTM Performance on Multivariate Time Series with One-Class SVM Outlier Detection by Ragita Anillya Putri, Sugiyarto Surono, Aris Thobirin

“…The LSTM model demonstrates good forecasting performance when trained on cleaned data without outliers. This study provides practical insights into applying data preprocessing with OCSVM to improve the consistency of prediction models in retail time series analysis.…”
Get full text

Sports video temporal action detection technology based on an improved MSST algorithm by Lai Lixin, Fang Yu

“…To optimize sports video data processing and temporal action detection, an improved multi-level spatiotemporal transformer network model is proposed. …”
Get full text

Analytical computation for segmentation and classification of lumbar vertebral fractures by Roseline Nyange, Hemachandran Kannan, Channabasava Chola, Saurabh Singh, Jaejeung Kim, Anil Audumbar Pise

Get full text

Hybrid Neural Network Models to Estimate Vital Signs from Facial Videos by Yufeng Zheng

“…<b>Results</b>: The dataset encompasses 891 subjects of diverse races and ages, and preprocessing includes facial detection and data normalization. …”
Get full text

Implementation of MobileNet Architecture for Skin Cancer Disease Classification by Haniifa Aliila Faudyta, Jesica Trivena Sinaga, Egia Rosi Subhiyakto

“…Data preprocessing involves resizing images to 224 x 224 pixels and normalizing pixel values. …”
Get full text

AI-enhanced real-time monitoring of marine pollution: part 1-A state-of-the-art and scoping review by Navya Prakash, Navya Prakash, Oliver Zielinski, Oliver Zielinski

“…However, challenges remain, including limited training datasets, inconsistencies in sensor data and real-time monitoring constraints. Future research should improve Artificial Intelligence model generalization, integrate multi-sensor data and enhance real-time processing capabilities to create more efficient and scalable marine pollution detection systems.…”
Get full text

Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…While training deep learning models for histopathology image analysis, this study tackles data collection, preprocessing, and annotation. We also analyse automated clinical systems’ ethical and regulatory ramifications. …”
Get full text

YOLOv8n-Al-Dehazing: A Robust Multi-Functional Operation Terminals Detection for Large Crane in Metallurgical Complex Dust Environment by Yifeng Pan, Yonghong Long, Xin Li, Yejing Cai

“…To overcome the heavy computational costs associated with processing high-resolution images by using YOLOv8n, our method refines YOLOv8n through component substitution and integrates real-time dehazing preprocessing for high-resolution images, thereby reducing the image processing time. …”
Get full text

Wearable Online Freezing of Gait Detection and Cueing System by Jan Slemenšek, Jelka Geršak, Božidar Bratina, Vesna Marija van Midden, Zvezdan Pirtošek, Riko Šafarič

“…The device operates at a real-time processing rate of 40 Hz and is deployed in practical settings to provide ‘on demand’ vibratory stimulation to patients. …”
Get full text

Electrical impedance spectroscopy for non-destructive meat freshness assessment by Shiqian Wang, Ziye Zhang, Xinyao Zhao, Xinqing Xiao

“…The paper encapsulates the commonly employed methods for the selection and processing of electrical impedance sensor data, including preprocessing, feature selection, calibration, and validation. …”
Get full text

Klasifikasi asal geografis kopi bubuk liberika tungkal Jambi dan Probolinggo menggunakan near-infrared spectroscopy (NIRS) dan principal component analysis (PCA) by Ikhsan Nurdziky, Anggoro Cahyo Sukartiko, Nafis Khuriyati

“…A total of 12 samples were tested using Near-Infrared Spectroscopy (NIRS). Spectrum data were analyzed using Principal Component Analysis (PCA) with various preprocessing spectral data, including Multiplicative Scatter Correction (MSC), Baseline, and Detrending. …”
Get full text

Inversion Study of Maize Leaf Physiological Information Under Light–Temperature Stress Using Visible–Near Infrared Spectroscopy by Siyao Gao, Jianlei Qiao, Lina Zhou, Shuang Liu, Limei Chen, Yue Yu, Lijuan Kong

“…Six different spectral preprocessing and modeling combination methods were employed to establish inversion models for the SPAD values and net photosynthetic rate of maize leaves. …”
Get full text

Identification of hateful amharic language memes on facebook using deep learning algorithms by Mequanent Degu Belete, Girma Kassa Alitasb

“…Next came textual data extraction, annotation, preprocessing, splitting, feature extraction, model development and assessment Amharic OCRs were employed to extract textual data. …”
Get full text

Classifying and diagnosing Alzheimer’s disease with deep learning using 6735 brain MRI images by Seyed Mohammad Mousavi, Khadijeh Moulaei, Leila Ahmadian

“…After data preprocessing and normalization, four models Xception, VGG19, VGG16 and InceptionResNetV2 were utilized. …”
Get full text

Enhancing stock timing predictions based on multimodal architecture: Leveraging large language models (LLMs) for text quality improvement. by Mingming Chen, Yifan Tang, Qi Qi, Hongyi Dai, Yi Lin, Chengxiu Ling, Tenglong Li

“…Using data from nine Chinese banks, we compare four filtering models and demonstrate that employing GPT-4 significantly improves financial metrics like profit-loss ratio, win rate, and excess return rate. …”
Get full text

Computational Feasibility Study for Time-Frequency Analysis of Non-Stationary Vibration Signals Based on Wigner-Ville Distribution by Luis Otávio de Angeles Dias, Pedro Oliveira Conceição Junior, Paulo Monteiro de Carvalho Monson

“…The Incorporation of the preprocessing routine in the sampling rate reduction process markedly reduces analysis time.…”
Get full text