Performance Analysis: AI-based VIST Audio Player by Microsoft Speech API by Ribwar Bakhtyar Ibrahim

“…In this paper, the performance of Microsoft Speech API is analyzed against other Speech APIs mentioned in the literature on the special dataset (without background noise) prepared. A Voice Interactive Speech to Text (VIST) audio player was developed for the analysis of Microsoft Speech API. …”
Get full text

Application research of convolutional neural network and its optimization in lightning electric field waveform recognition by Caixia Wang, Xiaoyi Zhang, Hui Yang, Jinyuan Guo, Jia Xu, Zhuling Sun

“…The CNN network model and its parameters were optimized from three aspects: dataset, model parameters, and network structure, achieving a recognition rate of over 90%. …”
Get full text

Cholec80-Boxes: Bounding Box Labelling Data for Surgical Tools in Cholecystectomy Images by Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Alberto Battistel, Paul David Docherty, Hisham ElMoaqet, Thomas Neumuth, Knut Moeller

“…In this work, 15,691 frames from five videos from the dataset have been labelled with bounding boxes for surgical tool localisation. …”
Get full text

Renal function in Ankylosing Spondylitis by Renu Saigal, Arun Kumar Agrawal, Laxmikant Goyal, Abhishek Agrawal, Naveen Gupta

Get full text

Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Haoming Zhang, Yue Qi, Xiaoting Xue, Yahui Nan

“…Firstly, we collect as many images of stone inscriptions as possible and preprocess these images to establish an inscriptions image dataset for image denoising and inpainting. In addition, an improved GAN with a denoiser is used for generating more virtual stone inscription images to expand the dataset. …”
Get full text

FlowMFD: Characterisation and classification of tor traffic using MFD chromatographic features and spatial–temporal modelling by Liukun He, Liangmin Wang, Keyang Cheng, Yifan Xu

“…The authors evaluate FlowMFD under the public ISCXTor2016 dataset and the self‐collected dataset, where we achieve an accuracy of 92.1% (4.2%↑) and 88.3% (4.5%↑), respectively, outperforming state‐of‐the‐art comparison methods.…”
Get full text

The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

“…The findings demonstrate that the neural network model, characterized by a multi-layered perceptron architecture, achieved a classification accuracy of 89.9% when applied to the test dataset. However, the support vector machine using the radial basis function kernel demonstrates enhanced accuracy, achieving a level of 93%.…”
Get full text

HPLC Fingerprint Analysis of Rana chensinensis Eggs from Different Habitats and Their Antitussive Effect by Yang Xu, Fangfei Xu, Yuejie Wang, Xu Wang, Huiwei Bao

Get full text

A novel feature selection technique: Detection and classification of Android malware by Sandeep Sharma, Prachi, Rita Chhikara, Kavita Khanna

“…The research employs extensive experiments on the Kronodroid dataset, a comprehensive and large-scale dataset, to gauge how well the proposed technique identifies and classifies malicious Android applications. …”
Get full text

Improving myocardial infarction diagnosis with Siamese network-based ECG analysis. by Vaibhav Gadag, Simrat Singh, Anshul Harish Khatri, Shruti Mishra, Sandeep Kumar Satapathy, Sung-Bae Cho, Abishi Chowdhury, Amrit Pal, Sachi Nandan Mohanty

“…The algorithm works excellently with datasets having class imbalance by taking pair of images as input. …”
Get full text

From print to perspective: A mixed-method analysis of the convergence and divergence of COVID-19 topics in newspapers and interviews. by Qingqing Chen, Andrew Crooks, Adam J Sullivan, Jennifer A Surtees, Laurene Tumiel-Berhalter

“…We found seven key topics from the "big" newspaper dataset, providing a macro-level view that covers public health, policies and economics. …”
Get full text

Robust fault detection and classification in power transmission lines via ensemble machine learning models by Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani, Ievgen Zaitsev

“…Results indicate that RF-LSTM Tuned KNN achieves a remarkable accuracy of 99.96% on a multi-label dataset, outperforming RF (97.50%) and KNN (96.55%). …”
Get full text

Spatiotemporal Video Denoising Based on Adaptive Thresholding and Clustering by Ali Abdullah Yahya, Jieqing Tan, Benyu Su, Kui Liu, Ali Naser Hadi

Get full text

Phospholipogenic Pharmaceuticals Are Associated with a Higher Incidence of Histological Findings than Nonphospholipogenic Pharmaceuticals in Preclinical Toxicology Studies by Linda R. Barone, Scott Boyer, James R. Damewood, James Fikes, Paul J. Ciaccio

“…The phospholipogenic dataset contained 37 bases, 4 neutral compounds, 3 zwitterions, and 1 acid, whereas the nonphospholipogenic dataset contained 9 bases, 34 neutrals, 1 zwitterion, and 18 acids. …”
Get full text

Quality Assessment of Different Species and Differently Prepared Slices of Zedoray Rhizome by High-Performance Liquid Chromatography and Colorimeter with the Aid of Chemometrics by Fei Sun, Xiaolu Yang, Fei Liu, Ying Zhang, Shumei Wang, Hui Cao, Jiang Meng

Get full text

Cross‐ethnicity face anti‐spoofing recognition challenge: A review by Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li

“…It is the largest up to date CeFA dataset covering three ethnicities, three modalities, 1607 subjects, 2D plus 3D attack types and the first dataset including explicit ethnic labels among the recently released datasets for face anti‐spoofing. …”
Get full text

Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction by Waqar A. Sulaiman, Charithea Stylianides, Andria Nikolaou, Andria Nikolaou, Zinonas Antoniou, Ioannis Constantinou, Lakis Palazis, Anna Vavlitou, Theodoros Kyprianou, Theodoros Kyprianou, Efthyvoulos Kyriacou, Antonis Kakas, Antonis Kakas, Marios S. Pattichis, Andreas S. Panayides, Constantinos S. Pattichis, Constantinos S. Pattichis

“…We utilized the MIMIC IV-ED dataset, comprising over 400,000 patient records, to classify ED LOS into short (≤4.5 hours) and long (>4.5 hours) categories. …”
Get full text

Transformers for Neuroimage Segmentation: Scoping Review by Maya Iratni, Amira Abdullah, Mariam Aldhaheri, Omar Elharrouss, Alaa Abd-alrazaq, Zahiriddin Rustamov, Nazar Zaki, Rafat Damseh

“…The heavy reliance of the field on the brain tumor segmentation dataset hints at the use of a more diverse set of datasets to validate the performances of models on a variety of neurological diseases. …”
Get full text

Biogenic Waste from Two Varieties of Plantain in Ghana Contain Pectin with Potential Binding Properties in Conventional Tablets by Desmond Asamoah Bruce Otu, Frederick William Akuffo Owusu, Mariam El Boakye-Gyasi, Raphael Johnson, Prince George Jnr Acquah, Yayra Edzor-Agbo, Marcel Tunkumgnen Bayor, Mary-Ann Archer

Get full text

Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning by Sadam Hussain, Mansoor Ali Teevno, Usman Naseem, Daly Betzabeth Avendano Avalos, Servando Cardona-Huerta, Jose Gerardo Tamez-Pena

“…In this study, we compiled a multimodal dataset comprising imaging and textual data (combination of clinical and radiological features). …”
Get full text