Fusion of multi-scale attention for aerial images small-target detection model based on PARE-YOLO by Huiying Zhang, Pan Xiao, Feifan Yao, Qinghua Zhang, Yifei Gong

“…Abstract In view of the complex environments and varying object scales in drone-captured imagery, a novel PARE-YOLO algorithm based on YOLOv8 for small object detection is proposed. …”
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Efficient lightweight cryptographic solutions for enhancing data security in healthcare systems based on IoT by Abdul Muhammed Rasheed, Retnaswami Mathusoothana Satheesh Kumar

“…This study presents three efficient cryptographic methods: (1) a hybrid encryption algorithm that incorporates a Fibonacci sequence and a 6D hyper-chaotic system to improve confusion and diffusion; (2) hybrid lightweight encryption that utilizes logistic parity-based chaotic maps for secure data transformation; and (3) combined transformation and expansion (CTE)-based lightweight cryptography that employs dynamic chaotic systems for strong encryption. …”
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Transferring Learned ECG Representations for Deep Neural Network Classification of Atrial Fibrillation with Photoplethysmography by Jayroop Ramesh, Zahra Solatidehkordi, Raafat Aburukba, Assim Sagahyroon, Fadi Aloul

“…This results in the <i>student</i> model yielding average improvements in accuracy, sensitivity, F1 score, and Matthews correlation coefficient of 2.0%, 15.05%, 11.7%, and 9.85%, respectively, across both PPG datasets. Additionally, we employ Gradient-weighted Class Activation Mapping (Grad-CAM) to confer a notion of interpretability to the model decisions. …”
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Machine Learning Insights into the Last 400 Years of Etna Lateral Eruptions from Historical Volcanological Data by Arianna Beatrice Malaguti, Claudia Corradino, Alessandro La Spina, Stefano Branca, Ciro Del Negro

“…Furthermore, spatial analysis revealed significant sectoral variations in eruption activity across Etna’s flanks. These findings, derived through unsupervised learning, offer new insights into Etna’s eruptive behavior and contribute to the development of hazard maps that are essential for long-term spatial planning and risk mitigation.…”
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Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach by Arefin Ittesafun Abian, Mohaimenul Azam Khan Raiaan, Asif Karim, Sami Azam, Nur Mohammad Fahad, Niusha Shafiabady, Kheng Cher Yeo, Friso De Boer

“…The eleven-ablation case study reduced training costs and redundancy. K-fold cross-validation and accuracy-loss curves demonstrated model generalization. …”
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Fault diagnosis method of mine hoist main bearing with small sample based on VAE-WGAN by Fan JIANG, Hongyan SONG, Xi SHEN, Zhencai ZHU, Shuman CHENG

“…By integrating cross channel and spatial information, more attention is paid to fault features. …”
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Research on soybean leaf disease recognition in natural environment based on improved Yolov8 by Chen Chen, Chen Chen, Xiaolei Lu, Lei He, Lei He, Ruoxue Xu, Ruoxue Xu, Yi Yang, Yi Yang, Jing Qiu, Jing Qiu

“…Experimental results demonstrate that YOLOv8-DML achieves a mAP50 of 96.9%, marking a 1.8% improvement over the original YOLOv8 algorithm, while also achieving an 18.6% reduction in parameters. …”
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Metallographic Spheroidization Rate Classification by Using Deep Learning by Lin Chiu‐Chin, Pei‐Hsuan Chiang, Ke‐Hao Chen, Yu‐Jen Pan, Chung‐Hsien Chen, Wang Yi‐Shun, Jen‐Chun Lee

“…Experimental results show that the YOLOv8‐DFFN model achieves a mean average precision (mAP) of 98.17% across metallographic datasets of various alloy compositions. …”
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Early Detection of Surface Mildew in Maize Kernels Using Machine Vision Coupled with Improved YOLOv5 Deep Learning Model by Yu Xia, Ao Shen, Tianci Che, Wenbo Liu, Jie Kang, Wei Tang

“…The results demonstrated that the model achieved with an <i>mAP50</i> value of 0.955 and a model size of 2.4 MB. …”
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Impacts of farming and herding activities on land use and land cover changes in the north eastern corridor of Ghana: A comprehensive analysis by Nanii Yenibehit, Abubakari Abdulai, Joseph Amikuzuno, James Kofi Blay

“…A supervised machine learning technique using the algorithm of the random forest classifier was employed for the preparation of the classification of thematic maps. …”
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YOLOv9: A High-Performance Deep Learning Approach for Asphalt Pavement Distresses Detection in Roadway Images by Fahrizal, Siti Nurjanah, Yoan Purbolingga, Dila Marta Putri, Asde Rahmawati, Bastul Wajhi Akramunnas, Muhidin Arifin

“…This study proposes employing the deep learning algorithm YOLOv9, the latest You Only Look Once (YOLO) version, for identifying asphalt pavement distresses. …”
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Investigating the Triple Code Model in numerical cognition using stereotactic electroencephalography. by Alexander P Rockhill, Hao Tan, Christian G Lopez Ramos, Caleb Nerison, Beck Shafie, Maryam N Shahin, Adeline Fecker, Mostafa Ismail, Daniel R Cleary, Kelly L Collins, Ahmed M Raslan

“…Across representation formats, the highest classification accuracy was observed in the bilateral parietal lobes. …”
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Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam. by Raja Das, Pham Van Tien, Karl W Wegmann, Madhumita Chakraborty

“…This research examines the spatio-temporal variations in landslide susceptibility across central Vietnam over several years, using multi-temporal landslide inventories from Typhoon Ketsana (2009), Tropical Storm Podul (2013), and Typhoon Molave (2020). …”
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Explainable AI-Based Ensemble Clustering for Load Profiling and Demand Response by Elissaios Sarmas, Afroditi Fragkiadaki, Vangelis Marinakis

“…To address this shortcoming, we applied an advanced ensemble clustering method and compared its performance with traditional algorithms, namely, K-Means++, fuzzy K-Means, Hierarchical Agglomerative Clustering, Spectral Clustering, Gaussian Mixture Models (GMMs), BIRCH, and Self-Organizing Maps (SOMs), across a dataset of 5567 households for a range of cluster counts from three to nine. …”
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A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation. by Guillaume Bonnier, Tobias Kober, Myriam Schluep, Renaud Du Pasquier, Gunnar Krueger, Reto Meuli, Cristina Granziera, Alexis Roche

“…We applied a partial volume estimation algorithm to T1 relaxometry maps to gray and white matter local concentrations as well as T1 values characteristic of gray and white matter in the thalamus and the basal ganglia. …”
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RS-DETR: An Improved Remote Sensing Object Detection Model Based on RT-DETR by Hao Zhang, Zheng Ma, Xiang Li

“…Experimental results on the satellite imagery multi-vehicles dataset (SIMD) and the high-resolution remote sensing object detection (TGRS-HRRSD) dataset show that the improved algorithm achieved mean average precision (mAP) of 78.2% and 91.6% at an intersection over union threshold of 0.5, respectively, which is an improvement of 2.0% and 1.5% over the baseline model. …”
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Degradation Type-Aware Image Restoration for Effective Object Detection in Adverse Weather by Xiaochen Huang, Xiaofeng Wang, Qizhi Teng, Xiaohai He, Honggang Chen

“…Both the DCP and the DDIR can be removed according to requirement in the inference stage to retain the real-time performance of the detection algorithm. Extensive experiments on clear, hazy, rainy, and snowy images demonstrate that our DTRDNet outperforms advanced object detection algorithms, achieving an average mAP of 79.38% across the four weather test sets.…”
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Ship-DETR: A Transformer-Based Model for EfficientShip Detection in Complex Maritime Environments by Yi Wang, Xiang Li

“…To address these issues, we propose an effective ship detection algorithm&#x2014;Ship Detection Transformer (Ship-DETR). …”
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Calculation Method of Tunnel Over-Under Excavation Based on Point Cloud Data by ZHANG Zhipeng, CHENG Wenming, DU Run, CHEN Hetian

“…Over-under excavation areas are calculated by comparing actual cross-section profile lines with theoretical profile lines. …”
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Developing an environmental equity index for urban heat wave event by Xiaohui Ma, Li Zhang, Xiaochun Yang, Yue Fan, Fukuda Hiroatsu, Jiahao Zhang, Luyao Li

“…A multi-source data integration approach and a synthetic population algorithm are used to construct a method to calculate environmental equity indices with 100∗100 m spatial resolution. …”
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