BIJAKAWEB: Platform Berbasis Web Untuk Deteksi Hate Speech Pada Komentar Berita Bahasa Indonesia by Moh. Firdaus, Permata Nur Miftahur Rizki

“…A total of 11,478 labeled data points were obtained, which were divided into two balanced classes. The labeled dataset was then used to fine-tune the IndoBERT model over 14 epochs, with the best accuracy of 95.91% achieved on the 14th epoch. …”
Get full text

3D synergistic tumor-liver analysis further improves the efficacy prediction in hepatocellular carcinoma: a multi-center study by Yurong Jiang, Jiawei Zhang, Zhaochen Liu, Jinxiong Zhang, Xiangrong Yu, Danyan Lin, Dandan Dong, Mingyue Cai, Chongyang Duan, Shuyi Liu, Wenhui Wang, Yuan Chen, Qiyang Li, Weiguo Xu, Meiyan Huang, Sirui Fu

“…Methods A total of 422 HCC patients from six centers were included. Datasets were divided into training and external validation datasets. …”
Get full text

Penerapan Deep Convolutional Generative Adversarial Network Untuk Menciptakan Data Sintesis Perilaku Pengemudi Dalam Berkendara by Michael Stephen Lui, Fitra Abdurrachman Bachtiar, Novanto Yudistira

“…Arsitektur DCGAN terdiri dari beberapa transposed convolutional layer dengan batch normalization dan fungsi aktivasi ReLU dan fungsi aktivasi Tanh sebagai output layer pada generator dan beberapa convolutional layer dengan batch normalization dan fungsi aktivasi Leaky ReLU dan fungsi aktivasi Sigmoid sebagai output layer pada discriminator. Dataset yang digunakan pada penelitian ini adalah dataset ISDDS perilaku umum pengemudi yang dikumpulan pada skenario simulasi dengan jumlah dua ribu gambar. …”
Get full text

CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India by N. K. Mangukiya, K. B. Kumar, P. Dey, S. Sharma, V. Bejagam, P. P. Mujumdar, P. P. Mujumdar, A. Sharma, A. Sharma

“…<p><span id="page462"/>We introduce CAMELS-IND (Catchment Attributes and MEteorology for Large-sample Studies – India), a dataset containing hydrometeorological time series and catchment attributes for 472 catchments in Peninsular India, of which 228 catchments have observed streamflow data available for over 30 % of the period between 1980 to 2020. …”
Get full text

Neutrophil elastase inhibitor (Sivelestat) in the treatment of acute respiratory distress syndrome induced by COVID-19: a multicenter retrospective cohort study by Yuting Li, Jianjun Zhao, Jiahui Wei, Yanhong Zhang, Haitao Zhang, Ying Li, Ting Liao, Yang Hu, Bo Yuan, Xinmei Zhang, Wanyan Liu, Changgang Liu, Qingsong Cui, Shunzi Wu, Hongmei Jiang, Wenge Liu, Weiheng Liu, Hongguang Xu, Gang Li, Yuyan Cai, Liting Chen, Bingwei Chen, Dong Zhang

Get full text

From Topological Optimization to Spline Layouts: An Approach for Industrial Real-Wise Parts by Carolina Vittoria Beccari, Alessandro Ceruti, Filip Chudy

Get full text

MODELLING ZERO-INFLATED OVER DISPERSED DENGUE DATA VIA ZERO-INFLATED POISSON INVERSE GAUSSIAN REGRESSION MODEL: A CASE STUDY OF BANGLADESH by Sukanta Chakraborty, Soma Chowdhury Biswas

“…That’s why modeling a dengue-fever dataset with a Zero-inflated Poisson-inverse Gaussian regression model is suggested in this study.…”
Get full text

Cloud-Based Framework for COVID-19 Detection through Feature Fusion with Bootstrap Aggregated Extreme Learning Machine by Amjad Rehman Khan, Tanzila Saba, Tariq Sadad, Seng-phil Hong

“…The proposed cloud-based model is evaluated on a benchmark dataset COVID-Xray-5k dataset. We choose 504 (after data augmentation) and 100 images of COVID-19 for training and testing, respectively. …”
Get full text

Fine-Tuning BERT Models for Multiclass Amharic News Document Categorization by Demeke Endalie

“…Future research could explore further fine-tuning techniques and larger datasets to enhance performance.…”
Get full text

LONGPOP and IDS. Personal reflections on our collaboration With Kees Mandemakers. by Sam Jenkinson, Hideko Matsuo, Koen Matthijs

“…The historical demographic dataset for the Antwerp arrondissement, a letter sample COR*-2010, recorded total sample size of +/- 33,000 residents of Antwerp for nearly seven decades and was already available. …”
Get full text

Machine Learning Classifiers and Data Synthesis Techniques to Tackle with Highly Imbalanced COVID-19 Data by Avaz Naghipour, Mohammad Reza Abbaszadeh Bavil Soflaei, mostafa ghader-zefrehei

“…To this end, we demonstrate the capability of two advanced data synthesis algorithms, Conditional Tabular Generative Adversarial Network (CTGAN) and Tabular Variational Autoencoder (TVAE), in addressing the class imbalance inherent in the dataset. The classifiers trained on the original as well as the balanced datasets were evaluated for comparison. …”
Get full text

A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm by Qinying Yuan

“…In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the characteristics and rules of teachers’ control of classroom emotion nowadays using big data, find the parts of classroom emotion, and design a classroom emotion recognition model based on convolutional neural network speech emotion algorithm according to these characteristics. …”
Get full text

Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection by Sunil Kaushik, Akashdeep Bhardwaj, Ahmad Almogren, Salil bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen, Habib Hamam

“…The IDS achieved over 99.9% accuracy, precision, recall, and F1-Score on the dataset IoTID20, with consistent performance on the NSLKDD dataset.…”
Get full text

Visualizing Ambiguity: Analyzing Linguistic Ambiguity Resolution in Text-to-Image Models by Wala Elsharif, Mahmood Alzubaidi, James She, Marco Agus

“…In addition, we present a curated dataset of ambiguous prompts and their corresponding images known as the Visual Linguistic Ambiguity Benchmark (V-LAB) dataset. …”
Get full text

A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke by Mengying Wang, Guolian Wei, Shaorui Gu, Zhengyuan Huo, Xue Han

“…This study aimed to determine the function and diagnostic value of ICD regulators in acute ischemic stroke (AIS). 31 significant ICD regulators were identified from the gene expression omnibus (GEO) database in this work (the combination of the GSE16561 dataset and the GSE37587 dataset in the comparison of non-AIS and AIS patients). …”
Get full text

Transfer Learning-Based Bhutanese Currency Recognition by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…This paper proposes three different pre-trained models to train the Bhutanese currency datasets. A parameter fine-tuning was applied to get better accuracy from the custom dataset. …”
Get full text

RGBD Scene Flow Estimation with Global Nonrigid and Local Rigid Assumption by Xiuxiu Li, Yanjuan Liu, Haiyan Jin, Lei Cai, Jiangbin Zheng

“…Experiments are implemented on RGBD tracking dataset and deformable 3D reconstruction dataset. …”
Get full text

Relation Classification via Recurrent Neural Network with Attention and Tensor Layers by Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

“…Our model allows end-to-end learning from the raw sentences in the dataset, without trimming or reconstructing them. …”
Get full text

Semi-supervised tri-Adaboost algorithm for network intrusion detection by Yali Yuan, Liuwei Huo, Yachao Yuan, Zhixiao Wang

“…We then conduct extensive numerical studies using different training and testing samples in the KDDcup99 dataset and discover the flows demonstrated that (1) high accuracy can be obtained using a training dataset which consists of a small number of labeled and a large number of unlabeled samples. (2) The algorithm proposed is reproducible and consistent over different runs. (3) The proposed algorithm outperforms other existing learning algorithms, even with only a small amount of labeled data in the training phase. (4) The proposed algorithm has a short execution time and a low false positive rate, while providing a desirable detection rate.…”
Get full text

Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning by Jianye Zhou, Xinyu Yang, Lin Zhang, Siyu Shao, Gangying Bian

“…We have obtained advanced results on both datasets of the gearbox dataset. The dataset shows that the test accuracy is 99.99%, achieving a significant improvement from 98.07% to 99.99%.…”
Get full text