Using computer vision to classify, locate and segment fire behavior in UAS-captured images by Brett L. Lawrence, Emerson de Lemmus

“…Models were first trained and validated on classifying isolated image objects of fire behavior, and then separately trained to locate and segment fire behavior classifications in UAS images. …”
Get full text

Acoustic Event Detection in Vehicles: A Multi-Label Classification Approach by Anaswara Antony, Wolfgang Theimer, Giovanni Grossetti, Christoph M. Friedrich

Get full text

Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…In this paper, a novel set of 13 handcrafted features derived from the contours of ships in synthetic aperture radar (SAR) images is introduced for ship classification. Additionally, the information entropy is presented as a valuable metric for quantifying the confidence (or uncertainty) associated with classification predictions. …”
Get full text

Enhanced remote sensing image feature classification using STFF-PSPNet by Haiying Li, Jiaqi Gao, Yang Liu, Chenxi Huang, Lijun Li, Liqiang Zhang

“…Abstract Semantic segmentation of remotely sensed images is crucial for urban planning and change detection, yet faces issues like sample imbalance and low data quality. …”
Get full text

Fuzzy deep learning architecture for cucumber plant disease detection and classification by Anas Bilal, Junaid Ali Khan, Abdulkareem Alzahrani, Khalid Almohammadi, Maha Alamri, Xiaowen Liu

“…The architecture achieves 98% classification accuracy, outperforming leading models like VGG-19, DarkNet-19, and ResNet-50. …”
Get full text

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

Quantum chimp-enanced SqueezeNet for precise diabetic retinopathy classification by Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, Yousef A. Alduraywish, Alishba Tahir, Haixia Long

“…Fundamentally, the results display the efficiency and practical utility of the proposed approach, and its implementation in real-world clinical settings is likely to significantly improve the rates of early DR reflection and accurate classification for improved patient outcomes.…”
Get full text

Analysis of global stock market development-Integration of clustering, classification, and shapley values. by Marcin Stawarz

“…The research applies the K-means algorithm for clustering, which enables the segmentation of exchanges based on their similarities. …”
Get full text

The Use of Fractal Features from the Periphery of Cell Nuclei as a Classification Tool by Birgitte Nielsen, Fritz Albregtsen, Håvard E. Danielsen

“…The fractal features have been estimated in different segments of 1D curves obtained by scanning the 2D cell nuclei in a spiral‐like fashion called “peel‐off scanning”. …”
Get full text

Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

“…Overall, this paper highlights the performance of integrated sophisticated deep-learning structures for accurate leukocyte classification and segmentation, enabling the path for improved diagnostic tools in clinical settings.…”
Get full text

Moving Object Classification Using 3D Point Cloud in Urban Traffic Environment by MingFang Zhang, Rui Fu, YingShi Guo, Li Wang

“…Moving object classification is essential for autonomous vehicle to complete high-level tasks like scene understanding and motion planning. …”
Get full text

Advances in Liver Tumour Diagnosis and Treatment: Etiology, Classification, and the Emerging Role of Machine Learning by Yana Gaur, Abhay Chaudhary, Ajith Abraham

“…This includes Artificial Intelligence applications in imaging modalities like Computed Tomography and Magnetic Resonance Imaging for segmentation, histopathological analysis, and predictive modeling for tumour growth and survival. …”
Get full text

A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification by Manishi Shakya, Ravindra Patel, Sunil Joshi

Get full text

A Hybrid Compact Convolutional Transformer with Bilateral Filtering for Coffee Berry Disease Classification by Biniyam Mulugeta Abuhayi, Andras Hajdu

Get full text

Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification by Timo T. Stomberg, Lennart A. Reißner, Martin G. Schultz, Ribana Roscher

“…Explainable machine learning has gained substantial attention for its role in enhancing transparency and trust in computer vision applications. Attribution methods like Grad-CAM and occlusion sensitivity analysis are frequently used to identify how features contribute to predictions of neural networks. …”
Get full text

CXR-Seg: A Novel Deep Learning Network for Lung Segmentation from Chest X-Ray Images by Sadia Din, Muhammad Shoaib, Erchin Serpedin

“…Over the past decade, deep learning techniques, particularly neural networks, have become essential in medical imaging for tasks like image detection, classification, and segmentation. …”
Get full text

Automated detection and classification of osteolytic lesions in panoramic radiographs using CNNs and vision transformers by Niels van Nistelrooij, Iman Ghanad, Amir K. Bigdeli, Daniel G. E. Thiem, Constantin von See, Carsten Rendenbach, Ira Maistreli, Tong Xi, Stefaan Bergé, Max Heiland, Shankeeth Vinayahalingam, Robert Gaudin

Get full text

Predictors of failure in posterior short segment instrumentation for thoracolumbar burst fractures: a systematic review and meta-analysis by Parisa Javadnia, Yousef Ramazani, Mehdi Moradinazar, Nila Salimi, Soroush Moradi, Ehsan Alimohammadi

“…Its advantages include involving fewer mobile segments and reduced operative time compared to posterior long-segment fixation. …”
Get full text

Interchangeable usage of ‘organized-unorganized’ and ‘formal-informal’ classifications: An analysis through the social security lens by Roopali Shekhawat, Sandhya Kumari

“…Further, while the sectors are demarcated on several factors like incorporation status, employee size, use of capital, the organized and unorganized workers are differentiated on their sectoral engagement, with access to social security being the prime factor, without specifying the other terms and conditions of employment like paid leaves, and a written contract. …”
Get full text

Automated Cervical Cancer Screening Using Single-Cell Segmentation and Deep Learning: Enhanced Performance with Liquid-Based Cytology by Mariangel Rodríguez, Claudio Córdova, Isabel Benjumeda, Sebastián San Martín

“…While Pap smears are the standard screening method, they have limitations, like low sensitivity and subjective interpretation. …”
Get full text