LungDxNet: AI-Powered Low-Dose CT Analysis for Early Lung Cancer Detection by Jyoti Parashar, Rituraj Jain, Mahesh K. Singh, Ashwani Kumar, Premananda Sahu, Kamal Upreti

Get full text

A Novel Dynamic Characteristic for Detecting Breathing Cracks in Blades Based on Vibration Response Envelope Analysis by Minghao Pan, Yongmin Yang, Fengjiao Guan, Haifeng Hu, Zifang Bian, Wenkang Huang, Bohao Xiao, Ang Li

“…Experimental validation confirms the accuracy of the proposed dynamic model and the effectiveness of the proposed feature. The study shows that under identical operational conditions, blades with cracks of equivalent depth and location exhibit maximum sensitivity to crack detection when EDIVR dynamic characteristics are employed as the fault diagnostic criterion. …”
Get full text

DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…On this, we propose a novel framework for the detection of cardiovascular diseases and presiding analysis through multimodal data fusion, optimized neural networks, and explainable AI techniques. …”
Get full text

Chronic lymphocytic leukemia (CLL) screening and abnormality detection based on multi-layer fluorescence imaging signal enhancement and compensation by Lemin Shi, Ping Gong, Mingye Li, Dianxin Song, Hao Zhang, Zhe Wang, Xin Feng

“…These improvements reduced false negatives and enhanced genomic abnormality detection accuracy. The proposed method significantly improves FISH signal clarity and stability, providing reliable support for cancer screening, genomic abnormality detection, molecular typing, prognosis evaluation, and targeted treatment planning.…”
Get full text

SympCoughNet: symptom assisted audio-based COVID-19 detection by Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou

Get full text

Enhanced visibility graph for EEG classification by Asma Belhadi, Pedro G. Lind, Pedro G. Lind, Pedro G. Lind, Youcef Djenouri, Youcef Djenouri, Anis Yazidi, Anis Yazidi

Get full text

Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning by Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed

Get full text

Features of neuroglia at the epicenter of spinal cord contusion injury and at distant areas in mini-pigs by R. R. Garifulin, A. A. Izmailov, V. A. Markosyan, I. S. Minyazeva, V. V. Valiullin, R. R. Islamov

Get full text

Bayesian Neural Networks With Robust Feature Interpretation for Enhanced Compressive Strength Prediction of Ultra‐High‐Performance Concrete by Tao Zhang, Ji Hao, Jie Zhang, Lina Du, Yunhao Zhang, Wenbin Jiao

Get full text

A deep learning model for estimating body weight of live pacific white shrimp in a clay pond shrimp aquaculture by Nitthita Chirdchoo, Suvimol Mukviboonchai, Weerasak Cheunta

“…Specifically, an automated feed tray captures images of live shrimp, which are then processed using a combination of Detectron2, PyTorch, and CUDA (Compute Unified Device Architecture) for individual shrimp detection. Essential features such as area, perimeter, width, length, and posture are extracted through image analysis, enabling accurate estimation of shrimp weight. …”
Get full text

Features of cytogenetic diagnosis of simultaneous chronic lymphocytic leukemia and myelodysplastic syndrome: clinical case report by M. A. Kislitsyna, T. N. Obukhova, A. V. Kokhno, L. A. Grebenyuk, A. V. Luchkin, L. A. Kuzmina, V. N. Dvirnyk, A. M. Kovrigina, I. V. Galtseva, B. V. Biderman, V. V. Troitskaya, E. N. Parovichnikova

Get full text

Deep Learning-Based Real-Time Driver Cognitive Distraction Detection by Matteo Fresta, Francesco Bellotti, Igor Bochenko, Luca Lazzaroni, Gaetan Merlhiot, Fabio Tango, Riccardo Berta

Get full text

Research on Region Noise Reduction and Feature Analysis of Total Focus Method Ultrasound Image Based on Branch Pipe Fillet Weld by Yuqin Wang, Yong Li, Yangguang Bu, Shaohua Dong, Haotian Wei, Jingwei Cheng

“…The full matrix acquisition (FMC) and total focus method (TFM) ultrasonic detection technology are used for detection and defect image feature analysis. …”
Get full text

Novel Deep Learning-Based Facial Forgery Detection for Effective Biometric Recognition by Hansoo Kim

“…This study presents a novel deep learning framework optimized for texture analysis to detect facial forgeries effectively. The proposed method leverages high-frequency texture features, such as roughness, color variation, and randomness, which are more challenging to replicate than specific facial features. …”
Get full text

Detection Of Fire-Prone Areas In Attica Region Integrating Urban And Transport Aspect by Efthymia Kourmpa, Stefanos Tsigdinos

Get full text

Detection of AI-Generated Texts: A Bi-LSTM and Attention-Based Approach by John Blake, Abu Saleh Musa Miah, Krzysztof Kredens, Jungpil Shin

Get full text

Influence of rhythm features on beat/movement synchronization using a low-cost vision system by Hamza Bayd, Patrice Guyot, Benoît Bardy, Pierre Slangen

Get full text

Lameness Recognition of Dairy Cows Based on Compensation Behaviour Analysis by Swing and Posture Features from Top View Depth Image by Ruihong Zhang, Kaixuan Zhao, Jiangtao Ji, Jinjin Wang

“…Based on motion trajectory analysis of 655 samples (258 sound, 267 mild lameness, and 130 severe lameness), the stability mechanisms of back movement posture were investigated, compensatory behaviours in lame cows were revealed, and methods for extracting CMFs were established, including swing and posture features. …”
Get full text

Analysis of the spatial distribution of the Siberian silk moth outbreak area based on terrain features in the Siberian mountain southern taiga forests by Svetlana M. Sultson, Andrey A. Goroshko, Denis A. Demidko, Pavel V. Mikhaylov, Olga A. Slinkina, Nadezhda N. Kulakova

“…The study was carried out by the method of retrospective analysis based on a geoinformation system combined with data from remote sensing of the Earth. …”
Get full text

Tissue Counter Analysis of Histologic Sections of Melanoma: Influence of Mask Size and Shape, Feature Selection, Statistical Methods and Tissue Preparation by Josef Smolle, Armin Gerger, Wolfgang Weger, Heinz Kutzner, Michael Tronnier

“…Background: Tissue counter analysis is an image analysis tool designed for the detection of structures in complex images at the macroscopic or microscopic scale. …”
Get full text