Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Penelitian ini mengusulkan arsitektur sederhana Convolutional Neural Network (CNN) untuk meningkatkan efisiensi klasifikasi emosi pada dataset kecil. Dataset yang digunakan adalah Jaffe, yang terdiri dari 213 citra berukuran 256x256 piksel dalam tujuh kategori ekspresi. …”
Get full text

Cohort profile: Born in Wales—a birth cohort with maternity, parental and child data linkage for life course research in Wales, UK by Amrita Bandyopadhyay, Sarah Davies, Michaela James, Sinead Brophy, Sam Dredge, Hope Jones, Mike J Seaborne, Natasha L Kennedy, Adele Battaglia

“…Purpose Using Wales’s national dataset for maternity and births as a core dataset, we have linked related datasets to create a more complete and comprehensive entire country birth cohort. …”
Get full text

PREDICTING STOCK PRICE DIRECTION OF EUROZONE BANKS: CAN DEEP LEARNING TECHNIQUES OUTPERFORM TRADITIONAL MODELS? by Bogdan Ionuț ANGHEL

“…The underperformance of LSTM and BiLSTM may be attributed to dataset limitations relative to deep learning requirements. …”
Get full text

Komparasi Metode Klasifikasi untuk Deteksi Ekspresi Wajah Dengan Fitur Facial Landmark by Fitra A. Bachtiar, Muhammad Wafi

“…Penelitian ini membandingkan tiga metode klasifikasi untuk melakukan klasifikasi ekspresi wajah. Dataset ekspresi wajah yang digunakan pada penelitian ini adalah JAFFE dataset dengan total 213 citra wajah yang menunjukkan 7 (tujuh) ekspresi wajah. …”
Get full text

Perbandingan Pretrained Model Transformer pada Deteksi Ulasan Palsu by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Fitri Utaminingrum

“…However, the results obtained by both Transformer and deep learning models perform well to detect spam reviews in the Ott dataset. …”
Get full text

Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan) by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Indriati Indriati

“…Ulasan palsu bisa secara efektif dibedakan menggunakan machine learning. Namun, banyak dari dataset ulasan palsu ini tidak seimbang (imbalanced dataset) sehingga dapat mempengaruhi hasil klasifikasi. …”
Get full text

Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

“…The dataset included 130 male and 122 female subjects, with age ranges of 33 - 87 years and 41 - 82 years, respectively. …”
Get full text

Wood dust effects on carpenters pulmonary function test parameters: a comparative study by Noura Mohamed Elfatih, Ibrahim Abdelrhim Ali, Muaath Ahmed Mohammed, Izzut Awad Ahmed, Nouralsalhin Abdalhamid Alaagib, Omer Abdelaziz Musa

Get full text

Challenging a paradigm: Staggered versus single-pulse mass dog vaccination strategy for rabies elimination. by Brinkley Raynor Bellotti, Elvis W Díaz, Micaela De la Puente-León, Maria T Rieders, Sergio E Recuenco, Michael Z Levy, Ricardo Castillo-Neyra

Get full text

Assessing the Economic Burden and Health Care Utilizations of U.S. Veteran Patients with Schizophrenia by Lin Xie, M. Furaha Kariburyo, Juan Du, Yuexi Wang

“…**Methods:** A retrospective database analysis was performed using the Veterans Health Administration (VHA) Medical SAS® datasets from October 1, 2008 through September 30, 2012. …”
Get full text

An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks by Shun Zeng, Hongyu Chen, Rui Jing, Wenzhuo Yang, Ligong He, Tianle Zou, Peng Liu, Bo Liang, Dan Shi, Wenhao Wu, Qiusheng Lin, Zhenyu Ma, Jinhui Zha, Yonghao Zhong, Xianbin Zhang, Guangrui Shao, Peng Gong

“…The AUC (95% CI), ACC, and F1-score were 0.708 (0.609, 0.808), 0.651, 0.528, respectively, in the HER2 test dataset; 0.785 (0.673, 0.897), 0.845, 0.905, respectively, in the ER test dataset; and 0.706 (0.603, 0.809), 0.678, 0.773, respectively, in the PR test dataset. …”
Get full text

Optimasi Proses Klasterisasi di MySQL DBMS dengan Mengintegrasikan Algoritme MIC-Kmeans Menggunakan Bahasa SQL dalam Stored Procedure by Issa Arwani

“…Proses integrasinya meliputi 4 tahap yaitu tahap inisialisasi tabel dataset, tahap pemetaan algoritme MIC-Kmeans pada SQL dan tabel dataset, tahap perancangan SQL untuk tiap hasil pemetaan dan tahap implementasi rancangan SQL dalam MySQL stored procedure. …”
Get full text

Healthcare Utilization, Costs of Care, and Mortality Among Patients With Spinal Muscular Atrophy by Hiangkiat Tan, Tao Gu, Er Chen, Rajeshwari Punekar, Perry B. Shieh

Get full text

Dual feature-based and example-based explanation methods by Andrei Konstantinov, Boris Kozlov, Stanislav Kirpichenko, Lev Utkin, Vladimir Muliukha

“…Instead of perturbing new instances in the Euclidean feature space, vectors of convex combination coefficients are uniformly generated from the unit simplex, and they form a new dual dataset. A dual linear surrogate model is trained on the dual dataset. …”
Get full text

A Bidirectional Mendelian Randomization Study Investigating the Causal Relationship Between Ankylosing Spondylitis and Chronic Obstructive Pulmonary Disease by Pan D, Dai X, Li P, Xue L

“…In our forward MR, the analysis of ebi-a-GCST005529 dataset against ebi-a-GCST90018807 dataset showed that AS was associated with an increased risk of COPD (OR = 1.1326, 95% CI = 1.0181– 1.2600, P = 0.0221). …”
Get full text

Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory-Based Networks Approach by Aleksandar Stojkovic, Bosko Nikolic, Miodrag Zivkovic, Nebojsa Bacanin

“…A publicly available photovoltaic dataset consisting of the measurements from two plants in India was used. …”
Get full text

MLHI-Net: multi-level hybrid lightweight water body segmentation network for urban shoreline detection by Jianhua Ye, Pan Li, Yunda Zhang, Ze Guo, Shoujin Zeng, Youji Zhan

“…Experimental results show that MLHI-Net outperforms other advanced segmentation networks in Mean Intersection over Union (MIoU) and Pixel Accuracy (PA) on the CityWater and USVInland datasets, with MIoU of 97.86% and PA of 98.92% on the CityWater dataset, and MIoU of 98.12% and PA of 99.10% on the USVInland dataset. …”
Get full text

Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter by Teuku Radillah, Okta Veza, Sarjon Defit

“…Metodologi penelitian ini melibatkan pengumpulan dataset tweet yang telah dilabeli sebagai bullying atau non-bullying. …”
Get full text

Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…The purpose of conducting the research is to create the first-ever Dzongkha handwritten digit dataset and develop a model to classify the digit. …”
Get full text

Classification of User Expressions on Social Media Using LSTM and GRU Models by I Gede Putra Mas Yusadara, I Gusti Ayu Desi Saryanti

“…The research process includes data preprocessing, training, and model performance evaluation. The dataset used is derived from Twitter social media and is available on Kaggle. …”
Get full text