Developing an Optimize Deep Learning Framework for Brain Tumors Detection and Classification by Ghosh Sayani, Mazumder Souvik, Kundu Prasenjit, Dey Arpita

“…Automation in the classification process optimizes efficiency for faster and more reliable diagnostic support. …”
Get full text

Objective Evaluation of Out-of-Competition Volume of Action in Wheelchair Basketball Classification by Yuki Shimoyama, Shintaro Kasai, Hiroaki Wagatsuma, Tatsuru Ibusuki, Takumi Tsukada, Kaori Tachibana

“…Movements were recorded using four cameras, and position coordinates were extracted using the three-dimensional DLT method. Classes and sitting conditions were compared across five groups: classes 1, 2, 3, 4, and able-bodied. …”
Get full text

Classification of Authentic and Tampered Video Using Motion Residual and Parasitic Layers by Mubbashar Saddique, Khurshid Asghar, Usama Ijaz Bajwa, Muhammad Hussain, Hatim A. Aboalsamh, Zulfiqar Habib

Get full text

Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…In this paper, we present a three-stage framework to enhance X-ray image classification using Neural Architecture Search (NAS), Transfer Learning, and Model Compression via filter pruning, specifically targeting the ChestX-Ray14 dataset. …”
Get full text

Plantar pressure classification and feature extraction based on multiple fusion algorithms by Xiaotian Bai, Xiao Hou, Yiling Song, Zhengyan Tang, Hongfeng Huo, Jingmin Liu

“…Optimized clustering and feature extraction algorithms categorized the plantar pressure characteristics and extracted key indicators. Classification discriminant functions were developed using linear discriminant analysis. …”
Get full text

Efficient Malware Classification using Transfer Learning and Stacked Ensemble Techniques by Krishna Kumar, Hardwari Lal Mandoria, Rajeev Singh

“…These results underscore the effectiveness of the proposed approach in addressing modern malware classification challenges efficiently.…”
Get full text

Progressive multi-scale multi-attention fusion for hyperspectral image classification by Hu Wang, Sixiang Quan, Jun Liu, Hai Xiao, Yingying Peng, Zhihui Wang, Huali Li

“…The complementary responsibilities of the three branches address the issue of feature loss in details and improve the network’s learning efficiency across feature maps of different scales. …”
Get full text

Machine learning technology in the classification of glaucoma severity using fundus photographs by Sukhumal Thanapaisal, Passawut Uttakit, Worapon Ittharat, Pukkapol Suvannachart, Pawasoot Supasai, Pattarawit Polpinit, Prapassara Sirikarn, Panawit Hanpinitsak

Get full text

Spectral–spatial mamba adversarial defense network for hyperspectral image classification by Zhongqiang Zhang, Ye Wang, Dahua Gao, Haoyong Li, Guangming Shi

“…Deep learning models have obtained great success in hyperspectral image classification tasks. Nevertheless, they are usually vulnerable to adversarial attacks. …”
Get full text

Evaluation and Classification of Accident-Inducing and Risk Propagation in Airport Apron Networks by Ruxin Wang, Hong Yan, Rui Kang, Xiaolei Feng

Get full text

An interpretable multi-transformer ensemble for text-based movie genre classification by Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Nouf Nawar Alotaibi, Salma Mohsen M. Alnefaie

“…Most of the existing works in genre classification use audio-visual modalities. The potential of text-based modalities in movie genre classification is still underexplored. …”
Get full text

Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods by Kalina Kitova, Ivan Ivanov, Vincent Hooper

Get full text

SPARTA: Interpretable functional classification of microbiomes and detection of hidden cumulative effects. by Baptiste Ruiz, Arnaud Belcour, Samuel Blanquart, Sylvie Buffet-Bataillon, Isabelle Le Huërou-Luron, Anne Siegel, Yann Le Cunff

“…In this paper, we have developed a computational pipeline for integrating the functional annotation of the gut microbiota into an automatic classification process and facilitating downstream interpretation of its results. …”
Get full text

Guided wave signal‐based sensing and classification for small geological structure by Hongyu Sun, Jiao Song, Shanshan Zhou, Qiang Liu, Xiang Lu, Mingming Qi

“…The morphological properties of geological anomalies in coal seams and the propagation characteristics of guided waves were first thoroughly studied. A three‐dimensional (3D) medium geometry model was developed for a complicated coal seam with Goaf, collapse column, scouring zone, and tiny fault based on COMSOL Multiphysics. …”
Get full text

Machine Learning Approaches for Real-Time Mineral Classification and Educational Applications by Paraskevas Tsangaratos, Ioanna Ilia, Nikolaos Spanoudakis, Georgios Karageorgiou, Maria Perraki

“…The main objective of the present study was to develop a real-time mineral classification system designed for multiple detection, which integrates classical computer vision techniques with advanced deep learning algorithms. …”
Get full text

Intelligent Classification of Stable and Unstable Slope Conditions Based on Landslide Movement by Long Tsang, Ali Ghorbani, Seyed Mohammad Hossein Khatami, Dmitrii Ulrikh

“…A set of data was compiled for this investigation including groundwater level, prior rainfall, infiltration coefficient, shear strength, and monitored slope gradient are all influential in landslide movement. Three models of Tree, Adaboost and artificial neural network (ANN) were developed for classification into two categories, stable and unstable. …”
Get full text

Image Classification Models as a Balancer Between Product Typicality and Novelty by Hung-Hsiang Wang, Hsueh-Kuan Chen

“…Focusing on seven key visual features of the vehicles, we used the Waikato environment for knowledge analysis (WEKA) to train an image classification model on the dataset through three separate training and testing sessions. …”
Get full text

Taxation of cross-border digital transactions: development of approaches to income classification by N. S. Milogolov, A. B. Berberov

“…Uncertainty in the income classification may arise for almost any type of digital transactions, since income received can fall under at least three different categories. …”
Get full text

Zero‐shot animal behaviour classification with vision‐language foundation models by Gaspard Dussert, Vincent Miele, Colin Van Reeth, Anne Delestrade, Stéphane Dray, Simon Chamaillé‐Jammes

“…Using two datasets, of alpine and African fauna, we investigate the zero‐shot capabilities of different kinds of recent VLMs to predict behaviours and estimate behaviour‐specific diel activity patterns in three ungulate species. By comparing our predictions to behaviours annotated by participatory science, our results show that using these automatic methods, it is possible to achieve F1‐score as high as 86.39% in behaviour classification and produce activity patterns that closely align with those derived from participatory science data (overlap indexes between 84% and 90%). …”
Get full text

Automatic Detection of Laparoscopic Videos Distortion Using Machine Learning Classification by Mohamed Belmokeddem, Kamila Khemis, Salim Loudjedi

“…Additionally, the classification achieves a high inference speed of 37 frames per second (fps). …”
Get full text