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Deep learning

Reassessing feature-based Android malware detection in a contemporary context

Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones

Deep learning detection and classification of fungal and non-fungal calcifications on paranasal sinus CT imaging

Zepa Yang, Insung Choi, [ ... ], Inseon Ryoo

Improving micromorphological analysis with CNN-based segmentation of flint/obsidian, bone and charcoal

Rafael Arnay, Pedro García-Villa, [ ... ], Carolina Mallol

FetCAT: Cross-attention fusion of transformer-CNN architecture for fetal brain plane classification with explainability using motion-degraded MRI

Sayma Alam Suha, Rifat Shahriyar

Forest fire prediction using image processing

Yingdan Li, Junting Chen, [ ... ], Hongxing Tian

Artificial intelligence-based dairy cattle behavior recognition for estrus detection via ensemble fusion of two camera views

Panawit Hanpinitsak, Tatpong Katanyukul, [ ... ], Arthit Phuphaphud

Towards practical AI for agriculture: A self-supervised attention framework for Spinach leaf disease detection

Nilavro Das Kabya, MD Shaifullah Sharafat, [ ... ], Riasat Khan

Alzheimer’s disease prediction via an explainable CNN using genetic algorithm and SHAP values

Mohammad Zahedipour, Mohammad Saniee Abadeh, Shakila Shojaei

A knowledge graph construction method for compliance review of water conservancy project reports

Zelin Ding, Zhefei Fan, [ ... ], Xinhang Zhang

Machine learning analysis based on deep learning for fatigue diagnostics in carbon fiber reinforced polymers

Ahmed Salah Al-Shati, Thamer J. Mohammed

Image generator for tabular data based on non-Euclidean metrics for CNN-based classification

Yu-Rong Lin, Han-Ming Wu

Merge-YOLO: An accurate detection model for book packaging defects in intelligent logistics scenarios

Zhaohua Wang, Yirong Luo, [ ... ], Yuhao Lin

CAFusion: A progressive ConvMixer network for context-aware infrared and visible image fusion

Hafiz Tayyab Mustafa, Hamza Mustafa, [ ... ], Zhonglong Zheng

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