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. …”
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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%.…”
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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. …”
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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. …”
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Klasifikasi Citra Sampah Menggunakan Support Vector Machine dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix dan Color Moments by Iffa Zainan Nisa, Sukmawati Nur Endah, Priyo Sidik Sasongko, Retno Kusumaningrum, Khadijah Khadijah, Rismiyati Rismiyati

“…This result is used to test the 30 test image outside the TrashNet dataset, and achieve accuracy of 70%. …”
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Corticomuscular Coupling Alterations During Elbow Isometric Contraction Correlated With Clinical Scores: An fNIRS-sEMG Study in Stroke Survivors by Xiaohan Wang, Weidong Li, Rong Song, Di Ao, Huijing Hu, Le Li

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Penyeimbangan Kelas SMOTE dan Seleksi Fitur Ensemble Filter pada Support Vector Machine untuk Klasifikasi Penyakit Liver by Muhammad Amir Nugraha, Muhammad Itqan Mazdadi, Andi Farmadi, Muliadi, Triando Hamonangan Saragih

“…Untuk menyeimbangkan kelas pada dataset, digunakan metode Synthetic Minority Oversampling Technique (SMOTE). …”
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Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA by Rahmat - Budiarto, Yanif Dwi Kuntjoro

“…Algoritma PCA diterapkan untuk mengurangi jumlah fitur trafik sehingga mempercepat proses deteksi, Data untuk percobaan diambil dari jaringan nyata dengan 150 pengguna dan data serangan flooding dari dataset MACCDC. Hasil eksperimen dalam suatu jaringan testbed menunjukkan hasil akurasi pendeteksian mencapai 94.01%, presisi 95.64%, Sensitivitas 99.28% dan F1-Score 96.08%. …”
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Vision Transformer untuk Klasifikasi Kematangan Pisang by Arya Pangestu, Bedy Purnama, Risnandar Risnandar

“…Evaluasi dilakukan menggunakan metode cross-dataset dengan 5.068 citra pisang yang berbeda dari dataset latih. …”
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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…The model achieved an accuracy of 98% and an F1 score of 96% for binary classification on the SKAB dataset and a multiclass classification accuracy of 92% with an F1 score of 85% on the TEP dataset. …”
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DMR: disentangled and denoised learning for multi-behavior recommendation by Yijia Zhang, Wanyu Chen, Fei Cai, Zhenkun Shi, Feng Qi

“…Experimental results on two real-world datasets show the proposal can improve the performance of MBR models effectively, which achieves on average 3.12% on the Retailrocket dataset and 3.28% on the Beibei dataset over the performance of state-of-the-art baselines. …”
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The Effect of Prenatal Invasive Tests on Neonatal Birthweight by Atakan Tanacan, Emine Aydın, Ayşe Nur Çakar, Murat Çağan, Dinçer Göksuluk, Mehmet Sinan Beksaç

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Fusion of multi-scale attention for aerial images small-target detection model based on PARE-YOLO by Huiying Zhang, Pan Xiao, Feifan Yao, Qinghua Zhang, Yifei Gong

“…Evaluation on the VisDrone2019 dataset indicates that PARE-YOLO achieves a 5.9% improvement in mean Average Precision (mAP) at a threshold of 0.5, compared to the original YOLOv8 model. …”
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Real-time rapid accident detection for optimizing road safety in Bangladesh by Md Shamsul Arefin, Md Ibrahim Shikder Mahin, Farzana Akter Mily

“…The dataset of 9000 labelled images have been used for training for extremely accurate object detection and classification of on-road accidents. …”
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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

“…Various numbers of Flettner rotors, arrangements, and spin ratios are employed to consider these effects in the dataset. For the training of deep learning models, a dataset of aerodynamic force coefficients and flow fields is generated using Computational Fluid Dynamics (CFD). …”
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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…We trained and tested the AI system on a large dataset, assessed generalizability on publicly available data, and evaluated radiologist and non-radiologist physician accuracy when unaided and aided by the AI system. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

“…Finally, the private dataset and PLAID dataset are tested, and the example results show that the proposed method has high recognition accuracy and good generalization performance in different operational scenarios.…”
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Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation by Achal Shetty, Sanjana S. Narasimhamurthy, KS Nataraj, Srilakshmi M. Prabhu, Neha Jagadeesh, Kunal Katre, Sumit Kumar, Neelesh Kapoor, Sudhir P. Haladi, Sankalp Gulati

“…Their development often requires a large corpus of labeled datasets, but such large and diverse datasets for developing smartphone-based vital estimation systems, particularly adapted to Indian context, are scarce. …”
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A novel electrical rock typing approach to improve estimating formation resistivity factor in carbonate rocks by Milad Mohammadi, Mohammad Emami Niri, Abbas Bahroudi, Aboozar Soleymanzadeh, Shahin Kord

“…For instance, the cementation factor values for dataset 1 range from 1.685 to 3.33, and for dataset 2 from 2.108 to 3.268 values that align more closely with those expected in carbonate rocks. …”
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Breast cancer classification based on hybrid CNN with LSTM model by Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, Yasser Fouad

“…Deep Learning (DL) models play a great role in accurately detecting and classifying cancer in the huge dataset, especially when dealing with large medical images. …”
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