Nephrotic and Non-Nephrotic Focal Segmental Glomerulosclerosis: Clinical Characteristics, Etiology, and Columbia Classification by Gabriel Figueiredo, Luis Yu, Lectícia Barbosa Jorge, Viktoria Woronik, Cristiane Bitencourt Dias

Get full text

Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study by Katerina Lawrie, Petr Waldauf, Peter Balaz, Radoslav Bortel, Ricardo Lacerda, Emma Aitken, Krzysztof Letachowicz, Mario D’Oria, Vittorio Di Maso, Pavel Stasko, Antonio Gomes, Joana Fontainhas, Matej Pekar, Alena Srdelic, VAVASC Study Group, Stephen O’Neill

Get full text

Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson’s Disease by Serena Dattola, Augusto Ielo, Angelo Quartarone, Maria Cristina De Cola

“…However, performance decreased for multiclass tremor severity classification (57.1%) and binary classification of severe versus mild tremor (71.4%), highlighting challenges in detecting subtle intensity variations. …”
Get full text

Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

Get full text

Automatic etiological classification of stroke thrombus digital photographs using a deep learning model by Álvaro Lucero-Garófano, Álvaro Lucero-Garófano, Alicia Aliena-Valero, Isabel Vielba-Gómez, Isabel Vielba-Gómez, Irene Escudero-Martínez, Irene Escudero-Martínez, Lluís Morales-Caba, Lluís Morales-Caba, Fernando Aparici-Robles, Fernando Aparici-Robles, Diana L. Tarruella Hernández, Diana L. Tarruella Hernández, Gerardo Fortea, Gerardo Fortea, José I. Tembl, José I. Tembl, Juan B. Salom, Juan B. Salom, José V. Manjón

“…The segmentation network achieved an average DICE coefficient of 0.96 [SD, 0.13]. The optimal fused imaging and clinical classification network had a 0.968 accuracy [95% CI, 0.935–0.994], and AUC of 0.947 [95% CI, 0.870–1]. …”
Get full text

In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device by Mengyang Zhang, Hongbo Fu, Huadong Wang, Feifan Shi, Saifullah Jamali, Zongling Ding, Bian Wu, Zhirong Zhang

Get full text

Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method by Yenni Astuti, Sudaryanto Sudaryanto, Indah Dwi Ariyanti

Get full text

A MALDI-ToF mass spectrometry database for identification and classification of highly pathogenic bacteria by Peter Lasch, Wolfgang Beyer, Alejandra Bosch, Rainer Borriss, Michal Drevinek, Susann Dupke, Monika Ehling-Schulz, Xuewen Gao, Roland Grunow, Daniela Jacob, Silke R. Klee, Armand Paauw, Jörg Rau, Andy Schneider, Holger C. Scholz, Maren Stämmler, Le Thi Thanh Tam, Herbert Tomaso, Guido Werner, Joerg Doellinger

Get full text

Skin Cancer Classification Using a Hybrid Pre-trained CNN with Random Forest Classifier by Okky Darmawan Kostidjan, Yudhi Purwanto, Anny Yuniarti

Get full text

Motor Tasks Classification Using Phase Locking Value in a BCI Based EEG Paradigm by Oana-Diana Hrisca-Eva

Get full text

Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography by Anh T. Tran, Dmitriy Desser, Tal Zeevi, Gaby Abou Karam, Julia Zietz, Andrea Dell’Orco, Min-Chiun Chen, Ajay Malhotra, Adnan I. Qureshi, Santosh B. Murthy, Shahram Majidi, Guido J. Falcone, Kevin N. Sheth, Jawed Nawabi, Seyedmehdi Payabvash

Get full text

Low error floor LT coding algorithm by using fixed-length node classification window by Xin SONG, Naiping CHENG, Shuyan NI, Yurong LIAO, Tuofeng LEI

Get full text

A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system by R. Shelishiyah, Deepa Beeta Thiyam, M. Jehosheba Margaret, N. M. Masoodhu Banu

Get full text

Quantification and Classification of Corn and Sunflower Oils as Adulterants in Olive Oil Using Chemometrics and FTIR Spectra by Abdul Rohman, Y. B. Che Man

“…Discriminant analysis can make classification of pure EVOO and EVOO adulterated with CO and SFO with no misclassification reported. …”
Get full text

Comparative Evaluation of IndoBERT, IndoBERTweet, and mBERT for Multilabel Student Feedback Classification by Fatma Indriani, Radityo Adi Nugroho, Mohammad Reza Faisal, Dwi Kartini

Get full text

Automated Blood Cell Detection and Classification in Microscopic Images Using YOLOv11 and Optimized Weights by Halenur Sazak, Muhammed Kotan

Get full text

Classification and Analysis of <em>Agaricus bisporus</em> Diseases with Pre-Trained Deep Learning Models by Umit Albayrak, Adem Golcuk, Sinan Aktas, Ugur Coruh, Sakir Tasdemir, Omer Kaan Baykan

Get full text

A didactic illustration of writing skill growth through a longitudinal diagnostic classification model by Hamdollah Ravand, Farshad Effatpanah, Olga Kunina-Habenicht, Matthew J. Madison

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

Get full text

MRI as an assessment tool for prognostic risk stratification of endometrial carcinoma patients based on molecular classification by Tingting Cui, Ying Gao, Bei Gu, Jinsong Guo, Yunlong Yue

Get full text