Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images by Muhammad Ramzan, Muhammad Usman Saeed, Ghulam Ali

“…Abstract Anemia detection using multimodal approaches leverages the integration of multiple data sources, such as imaging, clinical records, and hematological parameters, to improve diagnostic accuracy. …”
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Applicability of a Novel Wearable Wireless Electrocardiogram Monitoring Device (Spyder) for Arrhythmia Detection in Patients with Suspected Cardiac Arrhythmias by Do Van Chien, Nguyen Thanh Binh, Nguyen Dung, Pham Truong Son

“…All ECG monitor recordings obtained during the study period were of good quality. The device detected 12 episodes of atrial fibrillation in eight patients, one episode of ventricular tachycardia, one supraventricular tachycardia event, one case of paroxysmal third-degree atrioventricular block, and five cases of frequent premature ventricular contraction. …”
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CKAN-YOLOv8: A Lightweight Multi-Task Network for Underwater Target Detection and Segmentation in Side-Scan Sonar by Yao Xiao, Hualong Yang, Dongchen Dai, Hongjian Wang, Ziqi Shan, Hao Wu

“…Underwater target detection and segmentation in Side-Scan Sonar (SSS) imagery is challenged by low signal-to-noise ratios, geometric distortions, and Unmanned Underwater Vehicles (UUVs)’ computational constraints. …”
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Plasmonic Sensor Based on Multi Fano Resonance in Inverse T Shape Structure for Detection of CO₂ Concentration by Lili Zeng, Boxun Li, Ruquan Wen, Xingjiao Zhang

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Ghost-Attention-YOLOv8: Enhancing Rice Leaf Disease Detection with Lightweight Feature Extraction and Advanced Attention Mechanisms by Thanh Dang Bui, Tra My Do Le

“…This study presents a novel approach to improving YOLOv8, a state-of-the-art object detection model, by integrating the Ghost model with three advanced attention mechanisms: Convolutional Block Attention Module (CBAM), Triplet Attention, and Efficiency Multi-Scale Attention (EMA). …”
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WIVIDOSA-Net: Wigner–Ville distribution based obstructive sleep apnea detection using single lead ECG signal by Amit Bhongade, Tapan Kumar Gandhi

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A Molecularly Imprinted Polymer Nanobodies (nanoMIPs)-Based Electrochemical Sensor for the Detection of <i>Staphylococcus epidermidis</i> by Witsanu Rapichai, Chularat Hlaoperm, Adriana Feldner, Julia Völkle, Kiattawee Choowongkomon, Jatuporn Rattanasrisomporn, Peter A. Lieberzeit

“…The sensor is selective for <i>S. epidermidis</i>, with a remarkable detection limit of 1 CFU/mL. This research demonstrates that the developed nanoMIP-based sensor effectively detects <i>S. epidermidis</i>. …”
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A Fast and Sensitive Enzyme-Mediated Duplex Exponential Amplification Method for Field Detection of <i>Bursaphelenchus xylophilus</i> by Kai Guo, Xinxin Ma, Yiwu Fang, Weijun Duan, Yao Wu, Zhenxin Hu, Weimin Ye, Jianfeng Gu

“…To date, several molecular diagnostic methods have been developed; however, rapid, convenient, and inexpensive field diagnostic tools for detecting PWN are still limited. In this study, an enzyme-mediated duplex exponential amplification (EmDEA) method for detecting PWN from extracted nematodes or pinewood sawdust was developed and tested. …”
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Performance and limitations of linkage-disequilibrium-based methods for inferring the genomic landscape of recombination and detecting hotspots: a simulation study by Raynaud, Marie, Gagnaire, Pierre-Alexandre, Galtier, Nicolas

“…Using simulations, we specifically assessed the impact of methodological (sample size, phasing errors, block penalty) and evolutionary parameters (effective population size (Ne),  demographic history, mutation to recombination rate ratio) on inferred map quality. …”
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WDFS-DETR: A Transformer-based framework with multi-scale attention for small object detection in UAV Engineering Tasks by Jinjiang Liu, Yonghua Xie

“…The framework integrates four custom-designed components to jointly enhance detection accuracy and efficiency. First, BasicBlock-WTCM (Wavelet-based Transform Coordinate Module) improves small object perception by modeling spatial and channel semantics across scales. …”
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BiEHFFNet: A Water Body Detection Network for SAR Images Based on Bi-Encoder and Hybrid Feature Fusion by Bin Han, Xin Huang, Feng Xue

“…Water body detection in synthetic aperture radar (SAR) imagery plays a critical role in applications such as disaster response, water resource management, and environmental monitoring. …”
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Outlier Traffic Flow Detection and Pattern Analysis Under Unplanned Disruptions: A Low-Rank Robust Decomposition Model by Zhipeng Duan

“…Outlier traffic flow detection under unplanned disruptions is vital for operational safety and management. …”
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Comparative study on the quality of electrocardiogram and arrhythmia detection using wireless ambulatory Vigo SmartHeart Holter and conventional Holter by Sudha Bala, Mehdi Ali Mirza, Archana Mavoori, Rajiv Kumar Bandaru, Mallikharjuna Kampally, Sony Agarwal, Rishabh Chormalle

“…The minimum heart rate (HR), maximum HR, RR interval, P wave, QRS complex, PR, and ST segments showed a statistically significant correlation between Smart Heart and Conventional Holter. 17 ECG events were reported, of which 14 were detected by both. The events missed by conventional Holter and detected by VSH were Atrioventricular block (2), Supraventricular tachycardia (1), and Intraventricular conduction delay (1). …”
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Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images by Mohammed Alsieni, Khaled H. Alyoubi

“…Artificial intelligence technologies, primarily deep learning (DL), have been widely employed in medical imaging, utilizing automated detection methods. This paper presents an Enhanced Brain Stroke Detection and Classification using Artificial Intelligence with Feature Fusion Technologies (EBSDC-AIFFT) model. …”
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Enhanced tuberculosis detection using Vision Transformers and explainable AI with a Grad-CAM approach on chest X-rays by K. Vanitha, T. R. Mahesh, V. Vinoth Kumar, Suresh Guluwadi

“…These results demonstrate the model’s higher diagnostic precision and potential for clinical application in real-world settings, providing a massive improvement in the automated detection of TB.…”
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Spatial&#x2013;Temporal Semantic and Geographic Correlation Network for SAR Image Change Detection With Limited Training Data by Haolin Li, Bin Zou, Lamei Zhang, Jiang Qin

“…Existing supervised and semisupervised methods for synthetic aperture radar (SAR) image change detection are limited by the scarcity of labeled data and the challenges of modeling spatial&#x2013;temporal correlations. …”
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Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model by Ernesto Lee, Furqan Rustam, Patrick Bernard Washington, Fatima El Barakaz, Wajdi Aljedaani, Imran Ashraf

“…Consequently, social media being the leading source of racist opinions dissemination should be monitored and racism remarks should be detected and blocked timely. This study aims at detecting Tweets that contain racist text by performing the sentiment analysis of Tweets. …”
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Analysis of Colorectal Cancer Gene Mutations and Application of Long Blocker Displacement Amplification Technology for High-Throughput Mutation Detection by Ping Lu, Xinglei Su, Sirui Leong, Xuehao Xiu, Ping Song, Junjie Peng, Yunpei Si

“…In this study, we applied a fluorescence-based long block displacement amplification (LBDA) sensing method for the rapid, high-throughput, and cost-effective detection of KRAS genetic mutations. …”
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Reliable Indoor Fire Detection Using Attention-Based 3D CNNs: A Fire Safety Engineering Perspective by Mostafa M. E. H. Ali, Maryam Ghodrat

“…This collection enables robust training and benchmarking for early indoor fire detection. Using this dataset, we developed a spatiotemporal fire detection model based on the mixed convolutions ResNets (MC3_18) architecture, augmented with Convolutional Block Attention Modules (CBAM). …”
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A CrossMod-Transformer deep learning framework for multi-modal pain detection through EDA and ECG fusion by Jaleh Farmani, Ghazal Bargshady, Stefanos Gkikas, Manolis Tsiknakis, Raul Fernandez Rojas

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