Supervised contrastive pre-training models for mammography screening by Zhenjie Cao, Zhuo Deng, Zhicheng Yang, Jie Ma, Lan Ma

“…Our extensive experiments on a large-scale dataset show that the supervised contrastive pre-training (SCP) can substantially improve the final model performance compared with the traditional direct supervised training approach. …”
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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

“…Most of the existing big methods for assisted diagnosis are tested on balanced datasets, whereas in the medical field there is data imbalance due to the rare nature of a particular disease or case. …”
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Forecasting Dissolved Organic Carbon Levels Utilizing Metaheuristic Optimization with Artificial Intelligence Techniques by Peng He, Chengjun Ma

“…Upon comprehensive review, the SVR-SSA hybrid model emerged as the most promising, exhibiting an R2 value of 0.997293, a Root Mean Square Error (RMSE) of 0.2906, and a Normalized Mean Square Error (NMSE) of 5×10-4 at the thousandth iteration in the train dataset. These values for the test data set are calculated as 0.999754, 0.1625, and 2×10-4, respectively. …”
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Preprocessing Data dan Klasifikasi untuk Prediksi Kinerja Akademik Siswa by Takhamo Gori, Andi Sunyoto, Hanif Al Fatta

“…Penelitian ini bertujuan untuk memprediksi kinerja akademik siswa dengan mengintegrasikan metode Correlation-Based Feature Selection (CFS) dan Algoritma Naïve Nayes pada gabungan dataset pelajaran Matematika dan Bahasa Portugis dua sekolah menengah di Portugal. …”
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Efficient Moving Object Segmentation in LiDAR Point Clouds Using Minimal Number of Sweeps by Zoltan Rozsa, Akos Madaras, Tamas Sziranyi

“…The model is trained on a dataset of LiDAR point clouds and related camera images. …”
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Evaluation of an artificial intelligence-based system for real-time high-quality photodocumentation during esophagogastroduodenoscopy by Byeong Yun Ahn, Junwoo Lee, Jeonga Seol, Ji Yoon Kim, Hyunsoo Chung

“…This study aimed to evaluate the completeness and quality of APT’s photodocumentation compared to endoscopists. The dataset comprised 37 EGD videos recorded at Seoul National University Hospital between March and June 2023. …”
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Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination by Muhammad Zainal Altim, Abdullah Basalamah, kasman kasman

“…The method applied is an experimental method that utilizes machine learning technology by using many rice images that are used as datasets. The data of these images is classified by their shape, color and background. …”
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Single-cell RNA sequencing reveals tumor heterogeneity in small cell neuroendocrine cervical carcinoma by Xuesong Xiang, Xiang Tao, Keqin Hua, Hua Jiang, Jingxin Ding

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Spherical harmonics texture extraction for versatile analysis of biological objects. by Oane Gros, Josiah B Passmore, Noa O Borst, Dominik Kutra, Wilco Nijenhuis, Timothy Fuqua, Lukas C Kapitein, Justin M Crocker, Anna Kreshuk, Simone Köhler

“…We implemented the Spherical Texture method as a plugin in ilastik to provide a parameter-free and data-agnostic application to any segmented 3D or 2D dataset. Additionally, this technique can also be applied through a Python package to provide extra feature extraction for any object classification pipeline or downstream analysis.…”
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ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules’ malignancy by Xiaoxue Wang, Yupeng Niu, Hongli Liu, Fa Tian, Qiang Zhang, Yimeng Wang, Yeju Wang, Yijia Li

“…The model was trained and validated using publicly available thyroid ultrasound imaging datasets, and its generalization was further tested using an external validation dataset from HanZhong Central Hospital. …”
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A Method for Measuring Strawberry Leaf Area Based on Three-Dimensional Point Cloud Instance Segmentation by Zhipeng Li, Shusheng Wang, Yuanping Su, Dongyun Yu

“…These findings provide valuable technical support and references for greenhouse cultivation and smart agriculture applications. The source code and dataset can be accessed at <uri>https://github.com/suyangsuluo/SGC</uri>.…”
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Fetal Thymus Size in Pregnant Women with COVID-19 Infection by Sule Goncu Ayhan, Deniz Oluklu, Selcan Sinaci, Aysegul Atalay, Seyit Ahmet Erol, Eda Ozden Tokalioglu, Muradiye Yildirim, Ozlem Moraloglu Tekin, Dilek Sahin

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DLiGRU-X: Efficient X-Vector-Based Embeddings for Small-Footprint Keyword Spotting System by Zong-En Wu, Shao-Jung Chan, Yeshanew Ale Wubet, Kuang-Yow Lian

“…The proposed model is validated on the Google Speech Command public dataset, and its performance is compared with other recently proposed deep learning models for KWS. …”
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The Screening of Antiphospholipid Antibodies in Obstetric Antiphospholipid Syndrome-Like Events: A Regional Perspective by Onder Onen, Fusun Gulizar Varol

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Quantum computational infusion in extreme learning machines for early multi-cancer detection by Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, Yousef A. Alduraywish, Haixia Long

“…This study presents a hybrid model integrating Extreme Learning Machine (ELM) with FuNet transfer learning, applied on a multi-cancer dataset and optimized using the Quantum-Genetic Binary Grey Wolf Optimizer (Q-GBGWO). …”
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Prediksi Penuaan Wajah Manusia Berbasis Generative Adversarial Network by Beladina Elfitri, Ema Rachmawati, Tjokorda Agung Budi Wirayuda

“…Pada penelitian ini, digunakan citra dari dataset UTKFace yang terdiri atas citra wajah berbagai usia. …”
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Study on the Shock Wave Characteristics of Spherical and Cylindrical Explosives in Near-field Underwater Explosion by J. Yu, X. P. Zhang, J. Wang, Y. Hao, H. B. Mao

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Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index by Roopini Sathiasai Kumar, Swapnil Sharma, Arunima Halder, Vipin Gupta

“…A precision-recall curve was determined and the binary and multiclass datasets obtained an F1 score of 0.81 versus 0.72. …”
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Model Deep Learning Untuk Klasifikasi Objek Pada Gambar Fisheye by Riza Ayu Putri, Arief Suryadi Satyawan, Johanes Adi Prihantono, Rinda Safana Linggi, I Gusti Ayu Putri Surya Paramita, Ni Kadek Emy Iswarawati, Fabian Akbar, Prio Adjie Utomo

“…Sedangkan untuk melatih dan memvalidasi model tersebut digunakan  900 gambar dataset. Hasil pengujian pada penelitian Skripsi ini menunjukan bahwa pada 7 layer CNN menghasilkan nilai presisi, recall dan akurasi tertinggi dengan komposisi nilai presisi 98,56%, recall 98,5% dan akurasi 98,59%. …”
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3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

“…We trained and tested linear and nonlinear models with ablation studies on a novel ensemble body shape dataset containing 4286 scans. Nonlinear GPR produced up to a 20% reduction in prediction error and up to a 30% increase in precision over linear regression for both sexes in 10 tested body composition variables. …”
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